Different Types Of Generators Research Articles

Emergency coordinated control of multiple VSC‐HVDC for improving power system transient frequency and steady‐state frequency

AbstractWith the penetration of the high proportion of power electronics interfaced energy resources, the frequency stability issue in power systems is becoming increasingly prominent. This paper proposes a coordinated control strategy of multiple voltage source converter based high voltage direct current transmission (VSC‐HVDC) to simultaneously improve the transient frequency and steady‐state frequency after a severe disturbance. Firstly, a modified average system frequency response (MASFR) model is constructed with reserve power limitation, which takes into account the frequency responses of different types of generators (thermal, hydro and new energy resources). Secondly, according to the frequency stability requirements, the corresponding constraints, which consider the overload capacity of VSC‐HVDC, the AC transmission capacity and the frequency of AC grids on both sides of VSC‐HVDC, are formulated. Thirdly, for the transient frequency control, the coordinated optimization control model of multiple VSC‐HVDC is established, which aims to minimize the control energy considering the transient frequency threshold. For the steady‐state frequency control, the coordinated optimization control model is fomulated, which aims to minimize the control cost while considering the steady‐state frequency threshold. The two control schemes achieve seamless and smooth switching. Finally, the correctness and effectiveness of the proposed control strategy are verified in the improved IEEE 39 bus system.

Profit analytics in disruption risk for electrical energy supply network considering cost-oriented big data

Electrical energy consumption varies in different markets. Several different types of generators are used to supply electricity for consumers. The balance between supply and demand leads to prevent lack of energy. Nonetheless, with the growing number of markets and consumers, larger amount of data is generated making the analysis harder. Thus, decision support architecture for analytical purposes is significant. Large amount of data, recently called Big Data, is one of the significant sources of gaining and analyzing information as a decision support for electrical energy markets (EEMs). Market policymakers are emphasizing the impact of analytical approaches for business strategy setting in power supply and consumption to mitigate the risk of power failure and disruptions. In this article, the EEM influenced by big data of supply and demand and disruption is investigated to achieve power business continuity. A comprehensive architecture for EEM process is proposed. Supply and demand cost analysis is performed based on disruptions for an EEM. A pricing-based profit scenario optimization in a dynamic supply network having multiple power states is worked out. Numerical experiment is performed to show the effectiveness of the proposed paradigm based on data management.

Market Mechanism Design of Inertia and Primary Frequency Response With Consideration of Energy Market

The shortage of inertia and primary frequency response (IPFR) will be more severe in future power systems since conventional fossil-based synchronous generators are gradually being replaced by variable renewable energy (VRE) generators. To relieve the shortage of IPFR, corresponding market mechanisms should be designed and incorporated to motivate appropriate provision from various sources. The mechanism of IPFR provision from different types of generators and its tight relation with energy production should receive particular attention. This paper proposes a novel IPFR market mechanism in which the energy market is taken into joint consideration. The virtual inertia and droop factor provided by VRE generators are defined and introduced, considering its dominant share in future power systems. A differentiated pricing scheme is designed towards incentive compatibility, considering provision from different types of generators with different quality levels and opportunity costs. Then, the proposed IPFR market mechanism is formulated, and a modified piecewise linearization method is utilized to simplify the non-linear nadir constraints. Finally, the model is tested on a modified IEEE 30-bus system according to historical data in CAISO. The results indicate the proposed mechanism could increase the utilization of VREs, decrease system operation costs, and guarantee reasonable payback for various types of generators.

Random Number Generators: Principles and Applications

In this paper, we present approaches to generating random numbers, along with potential applications. Rather than trying to provide extensive coverage of several techniques or algorithms that have appeared in the scientific literature, we focus on some representative approaches, presenting their workings and properties in detail. Our goal is to delineate their strengths and weaknesses, as well as their potential application domains, so that the reader can judge what would be the best approach for the application at hand, possibly a combination of the available approaches. For instance, a physical source of randomness can be used for the initial seed; then, suitable preprocessing can enhance its randomness; then, the output of preprocessing can feed different types of generators, e.g., a linear congruential generator, a cryptographically secure one and one based on the combination of one-way hash functions and shared key cryptoalgorithms in various modes of operation. Then, if desired, the outputs of the different generators can be combined, giving the final random sequence. Moreover, we present a set of practical randomness tests that can be applied to the outputs of random number generators in order to assess their randomness characteristics. In order to demonstrate the importance of unpredictable random sequences, we present an application of cryptographically secure generators in domains where unpredictability is one of the major requirements, i.e., eLotteries and cryptographic key generation.

European green energy transition formation and its modern implementation adjustments

Purpose: this article is to conceptualize the reasons of European green energy transition sustainability on the basis of its historic dynamics of its political and economic drivers and its possible developments taking into account adjustments of this process caused by current energy market situation.Methods: system analysis in the context of economics and politics, case-study, statistical method, information analysis and synthesis, data visualization method are applied.Results: the process of formation of modern economic and political drivers of green energy transition from the moment of the origin of this process to the present time has been investigated. The scale of the restructuring of European energy in the first quarter of the 21st century is shown based on the analysis of the dynamics of energy production by different types of generation. The substantiation of the sustainability of the process of greening energy in European countries is formulated, consisting in a combination of political and economic factors. The possible options for the development of the European green transition process in the medium term are evaluated, taking into account the adjustments of market conditions that are caused by the current unstable state of the energy markets.Conclusions and Relevance: green energy transition is caused from a political point of view, firstly, by the popularity of the concept among voters, and secondly, by the fact that it is the only option to ensure energy independence for Europe. From an economic point of view, the green transition acts as a tool for the development of industry, support for innovation and a factor in reducing negative externalities associated with the negative consequences of the use of hydrocarbon energy. The combination of these factors ensures the sustainability of the greening of energy, therefore, the most likely option for its medium-term development will be the resumption of the process after finding temporary solutions for energy supply.

ASPECTS OF IMPLEMENTATION OF DISTRIBUTED GENERATION SOURCES IN THE ELECTRICITY SUPPLY SYSTEM OF ENTERPRISES OF THE AGRICULTURAL COMPLEX

Today, the agro-industrial complex of Ukraine determines the socio-economic development of the state, and is an integrated production and economic system, uniting a number of agricultural, industrial, scientific-production and educational sectors aimed at obtaining, transporting, storing, processing and selling agricultural products. However, at the current stage of development of the agro-industrial complex of Ukraine, a significant obstacle to ensuring the appropriate level of competitiveness of enterprises and their products on the foreign market is the high level of energy consumption. A separate problem is the complete dependence on the electric power system, which mainly uses traditional fuel resources and has a number of disadvantages, which creates risks for the effective functioning of a strategically important sector of the state economy and substantiates the relevance of scientific research aimed at improving the optimization of the structure of energy consumption and energy supply, in that including due to the introduction of elements of alternative energy at enterprises of the agro-industrial complex of Ukraine. Thus, by implementing DRG and RES, agro-industrial complex enterprises increase their capacities, which contributes to the attraction of investments and increases their competitiveness. This state of affairs leads to a review of the issue of the active introduction of RES into the electricity supply structures of agricultural enterprises, which is associated with negative effects on the electricity supply systems of electricity consumers. But the analysis of previous studies shows that with a certain combination of disturbances on the same and different harmonic components of energy processes of different types of generators, mutual compensation or mutual reinforcement of one or another harmonic component in loads may occur [1]. In addition, three-phase power transformers with a "star-zero-delta" group of connections are widely used in the power supply systems of agro-industrial complex enterprises to power electric machines and other powerful consumers. In this case, the supply voltage from distribution networks of 6-10 kV is supplied to the transformer windings connected by a delta, and consumers are connected to the low side of 0.4 kV, the windings of which are connected in star with neutral. However, recently, quite often generating power is installed on the low side of the transformer in the power supply system. These can be photovoltaic plants, biogas power plants or diesel generator plants, which began to be installed en masse after the power supply crisis associated with Russian aggression. The paper examines the advantages, problems and prospects of DRG based on renewable energy sources at Ukrainian agro-industrial complex enterprises, which proves its economic feasibility in power supply systems. The proposed approach is that the introduction of DRG based on renewable energy into the power supply system of agro-industrial complex enterprises contributes to reducing the level of energy dependence of these enterprises and is one of the factors of increasing the competitiveness of manufactured products on the domestic and foreign markets due to the reduction of the cost of their production. The introduction of RES into the structures of the centralized power supply system of agricultural enterprises increases the reliability of power supply systems by providing electricity from two independent power sources. In addition, the amount of electricity received from the power supply company is significantly reduced. The use of artificial intelligence technology in the construction of control systems for the combined power supply systems of agro-industrial complex enterprises will increase the quality of electric energy, optimal use of RES and reduce abnormal modes of operation of the electrical complex of agro-industrial complex enterprises as a whole.

Optimal reconfiguration for Extra high voltage transmission networks using an enhanced Brute-Force algorithm

Over the last decade, Extra high voltage (EHV) transmission networks are becoming excessively meshed to reliably accommodate different types of generation and meet the operational security constraints during steady state and transient conditions. However, excessive meshing, combined with the addition of new power plants, can result in short circuit levels that exceed the capability of switchgear components. As such, there is a growing need to limit, the degree of meshing to accommodate the short circuit capability of the existing network assets, thus avoid catastrophic implications that may lead to very expensive equipment damage and personal safety concerns during fault conditions. Under different network conditions, the operators may have to reconfigure the EHV transmission grid differently to avoid exceeding the short circuit rating of the network assets, while maintaining the grid reliability following the next contingency. This paper proposes a new deterministic optimization model for determining the best EHV transmission network reconfiguration for short circuit relief, while meeting the network steady state and transient security requirements. The optimization model is solved using an enhanced Brute force algorithm that limits the search space, hence improves the computation efficiency of the classical Brute Force technique. To test the accuracy and computation efficiency of the proposed optimization model and enhanced algorithm, the IEEE 39-bus model and a real-size practical EHV network model were used as testbeds. The results demonstrate that the algorithm managed to successfully identify optimum EHV grid reconfiguration that would limit the short circuit levels while satisfying the steady state and transient security requirements mandated by the network operators.

Аnalysis of qualitative indicators of the use of different types of generators at mini HPP.

Аnalysis of qualitative indicators of the use of different types of generators at mini HPP.

Effect of targeting and generator type on efficacy of extracorporeal shock wave lithotripsy.

Analysis of the effect of technical factors, i.e. the type of stone targeting and shock wave generator, on ESWL efficacy. Evaluation of secondary outcomes to determine an optimal strategy for performing the procedure. In the period from 01/2016 to 07/2021, we analyzed data from patients indicated for ESWL for nephrolithiasis and proximal or distal ureterolithiasis. This was a tricenter retrospective study to evaluate stone-free rates (SFR) while taking into account the number of ESWL sessions in four selected groups of patients with comparable characteristics. A patient is considered stone-free in the absence of residual lithiasis or with an asymptomatic residue of up to 2 mm. The real-time ultrasound-guided (USG) arm consisted of a group of 120 patients on the electromagnetic STORZ SLK lithotripter in the period from 02/2017 to 02/2020. A total of three comparison arms with x-ray guidance were created: A: 68 patients between 01/2016 and 03/2017 on the Medilit 7 electrohydraulic lithotripter. B: 72 patients from 04/2017 to 10/2017 on the Sonolith i-sys electroconductive lithotripter (EDAP). C: 120 patients from 03/2018 to 07/2021 on the STORZ SLK electromagnetic lithotripter. By comparing the US and x-ray guidance using the STORZ SLK lithotripter, the effect of targeting when using an identical device (electromagnetic generator) was evaluated. By comparing the arms A, B, and C, the efficacy in different types of generators - electromagnetic, electroconductive, electrohydraulic - was assessed when the same type of targeting (fluoroscopy) was used. The secondary parameters that were monitored included: the rate of use of auxiliary techniques in stone management; radiation exposure for the patient and/or operator; analgesic consumption; and the time required to perform the procedure. When US versus x-ray guidance was compared in an electromagnetic lithotripter, SFRs of 90% vs. 85% (P=0.329), i.e. statistically comparable results, were obtained. By comparing electromagnetic, electroconductive, and electrohydraulic generators with fluoroscopy, SFRs of 85%, 88.9%, and 88.2% were obtained, respectively (P=0.727). When the degree of need for intraoperative analgesic administration was assessed, the electromagnetic generator was found to have a significantly lower consumption (20.8% vs. 30.6% vs. 48.5%) (P=0.0005). Values less than 1095 HU and 108.5 mm were shown to be optimal cut-off values for stone density and skin-to-stone distance, respectively. Based on our comparative analysis, the noninferiority of US stone targeting was demonstrated compared to fluoroscopic targeting. No significant differences in ESWL efficacy were found using electrohydraulic, electroconductive or electromagnetic shock wave generators. With the electromagnetic lithotripter, there was a significantly lower analgesic consumption than with the electrohydraulic type.

Load validity discrimination for telescopic boom of rock drilling jumbo

The telescopic boom is an essential component in the rock drilling jumbo. To avoid the influence of the invalid load schemes on optimization design, it is urgent to find a method that can efficiently discriminate the validity of load schemes. Based on the combination of Classroom-like Generative Adversarial Network (CLGAN) and Conditional Generative Adversarial Network (CGAN), Conditional Classroom-like Generative Adversarial Network (CCLGAN) is proposed in this paper to discriminate the validity of load schemes. And comparative experiments are designed to compare the effects of different training strategies, loss functions, and discriminators with different structures on the discrimination ability of discriminators. The comparison results show that the improved training strategy, Wasserstein loss, and the discriminator with 2 output nodes have better performance. The optimal CCLGAN is trained to discriminate the load schemes, and the discriminator in the optimal CCLGAN including 5 different types of generators has the best discrimination performance.

Global and regional externalities of the Ukrainian energy sector

PurposeThe purpose of this paper is to develop a methodology for assessing the effects of global and regional externalities that create traditional power generation industries and to propose a transition to a tariff strategy taking into account these consequences. The main purpose of the research is to analyze the current wholesale electricity tariffs in the energy market of Ukraine and propose their assessment taking into account external effects for other sectors of the economy.Design/methodology/approachAt the first stage, according to observations for 2004–2019 on the amount of pollution and the cost of agricultural products in some regions of Ukraine, which is provided in 2010 prices, the impact of hazardous emissions on the cost of agricultural products was analyzed in each region. The use of panel regression allowed to combine spatial and temporal studies (12 separate areas and time interval 2004–2019). To assess the external effects of heat generation, panel regression was used, which made it possible to combine spatial and temporal data on the impact of pollution on the efficiency of agricultural production and add regional losses of agricultural business to the cost of heat generation. This paper uses optimization models to maximize the function of public utility of electricity generation, making allowances for externalities.FindingsThis research assesses the negative externalities of Ukraine's energy and confirms the need for a global transition to a low-carbon economy primarily through climate finance. The analysis revealed the presence of various influences of the factor of regional air pollution and time. The hypothesis of the existence of a negative impact of local air pollution on agricultural production has been confirmed. An increase in emissions by 1,000 tons leads to an average decrease in regional agricultural production by UAH 84 million (at the prices of 2010).Originality/valueThe optimization problem of the ratio of different types of generation is set on the basis of maximizing the function of social utility of electricity generation, taking into account external effects. The authors presented an optimization model of electricity generation, which corresponded to the state of the energy market for 2019, provides an opportunity to assess the contribution of the inverse external effects of each electricity sector and to estimate external tariffs for each electricity generation sector.

Comparison of Optimisation Algorithms for Centralised Anaerobic Co-Digestion in a Real River Basin Case Study in Catalonia.

Anaerobic digestion (AnD) is a process that allows the conversion of organic waste into a source of energy such as biogas, introducing sustainability and circular economy in waste treatment. AnD is an intricate process because of multiple parameters involved, and its complexity increases when the wastes are from different types of generators. In this case, a key point to achieve good performance is optimisation methods. Currently, many tools have been developed to optimise a single AnD plant. However, the study of a network of AnD plants and multiple waste generators, all in different locations, remains unexplored. This novel approach requires the use of optimisation methodologies with the capacity to deal with a highly complex combinatorial problem. This paper proposes and compares the use of three evolutionary algorithms: ant colony optimisation (ACO), genetic algorithm (GA) and particle swarm optimisation (PSO), which are especially suited for this type of application. The algorithms successfully solve the problem, using an objective function that includes terms related to quality and logistics. Their application to a real case study in Catalonia (Spain) shows their usefulness (ACO and GA to achieve maximum biogas production and PSO for safer operation conditions) for AnD facilities.

Определение экономических показателей автономного энергокомплекса на базе ГТУ, ВЭУ и электрических аккумуляторов

In order to ensure high efficiency of natural gas use, increase the reliability and quality of energy supply, it is necessary to introduce alternative energy sources and electric accumulators into the classic GTU energy generation schemes. In this regard, the object of research is a combined autonomous source based on a gas turbine unit (GTU), a wind-driven power plant (WDPP) and energy storage. Energy production at wind turbines is conventionally divided into two stages (day and night), during the day energy is supply into the grid, and at night it is stored in energy storage. The purpose of the article is to determine the economic indicators of this variant of the scheme for combining sources of different types of generation. To determine the effectiveness of the source, a mathematical model was developed with the help of which quantitative and economic indicators are calculated. Initial data: daily schedule of electric loads, average monthly temperature and wind speed, dependence of changes in the electric power of WDPP on wind speed in relative units. According to the presented method, quantitative and economic indicators were calculated, which investigated the impact of changes in the installed capacity of WDPP (200 kW – 1400 kW) on changes in economic indicators: discounted costs, net present value, discounted profitability index (DPI), internal rate of return (IRR) and payback period. The annual output of electricity and heat is stable and amounts to 20409 MWh/year and 239970 GJ/year, respectively. In the publication, a comparative analysis of the obtained economic indicators was made. Discounted costs, despite the decrease in the installed capacity of the GTU, increase as the installed capacity of the wind turbine and energy storage increases. Economic efficiency is reduced, which is reflected in an increase in the payback period and a decrease in the NPV. The reason for this low efficiency is the high unit cost of wind turbines and energy storage. From the results obtained, it can be concluded that the lower the installed capacity of the wind turbine and, accordingly, the energy storage, the higher the economic indicators. At this time, the use of such combinations (GTU, WDPP and energy storage) is beneficial only if the share of the installed capacity of the wind turbine does not exceed 45% of the gas turbine capacity.

Algorithms for Optimal Power Flow Extended to Controllable Renewable Systems and Loads

In an effort to quantify and manage uncertainties inside power systems with penetration of renewable energy, uncertainty costs have been defined and different uncertainty cost functions have been calculated for different types of generators and electric vehicles. This article seeks to use the uncertainty cost formulation to propose algorithms and solve the problem of optimal power flow extended to controllable renewable systems and controllable loads. In a previous study, the first and second derivatives of the uncertainty cost functions were calculated and now an analytical and heuristic algorithm of optimal power flow are used. To corroborate the analytical solution, the optimal power flow was solved by means of metaheuristic algorithms. Finally, it was found that analytical algorithms have a much higher performance than metaheuristic methods, especially as the number of decision variables in an optimization problem grows.

Optimal mixed control of Axial Flux Permanent Magnet Synchronous generator wind turbines with modular stator structure

Wind turbine systems are constructed using different types of generators, aero-mechanical components and control systems. Due to their ability to work in low speed, Axial Flux Permanent Magnet (AFPM) generators are becoming widespread in wind energy systems which contributes to eliminating the gearbox from the system, noticeable increase in efficiency and decrease in system weight. Due to the modular nature of the stator in AFPM generators, it is possible to control each module independently. In this paper, in addition to obtain the dynamic model of the turbine and AFPM generator, a control strategy is designed based on Mixed Integer Nonlinear Programming (MINLP) to incorporate both pitch angle and the number of active stator modules as control input signals. These control signals are used in order to maximize system efficiency and regulate output voltage in different wind speeds and electrical loads. Simulation results for a typical generator shows the effectiveness of the proposed method in speed control of the generator.

«ЗЕЛЕНА» ЕНЕРГЕТИКА – ПОРЯТУНОК ЧИ ЗАГРОЗА ДЛЯ СВІТОВОЇ ЕКОНОМІКО-ЕНЕРГЕТИЧНОЇ СИСТЕМИ?

The article examines a set of issues related to "green energy" in the world, problems and opportunities from the introduction of alternative energy sources for greening the economy, developing sustainable economy and preserving human potential. Analytical works of some Ukrainian authors have been studied, in which the current state, obstacles to the realization and prospects of "green energy" in the world have been determined. The purpose of the article is to refute the allegations about the need to immediately stop the introduction of "green technologies", including the construction of solar stations. There are two opposing views on the need for green energy, which have been being discussed around the world for the past few decades. The most popular evidence from both sides on this issue is given, in particular, that the planet can be saved only through the active use of renewable energy sources, and on the other hand, that "green energy" at the current level of human development will cause even more environmental and economic problems. The arguments most often expressed by opponents of the active introduction of "green energy" are highlighted, namely: the high cost of new technologies compared to existing types of generation; the inability of "green energy" to solve the problem of warming on the planet with reference to scientific research on the amount of CO2 emissions from different types of generation as a major factor in warming; danger to the energy systems of all countries of the world due to the instability of energy production by natural factors. Counter-arguments on these issues are provided and evidence of the ability and necessity to use clean technologies is provided. The problem, on which the opinions of both parties coincide, is highlighted - the reluctance of "green" investors to spend money on storage systems, energy storage and stabilization of energy systems due to their high cost, size, insufficient energy consumption and insufficient duration of work. It is noted that the issue of developing the latest energy storage and stabilization systems and their installation at new and existing RES stations needs to be addressed immediately, but is not an obstacle to the further development of green energy.

Impact of Synchronous Condenser on Sub/Super-Synchronous Oscillations in Wind Farms

Sub/Super-synchronous oscillations have occurred in wind farms consisting of doubly-fed induction generators (DFIGs) or permanent magnet synchronous generators (PMSGs). This paper investigates the impact of synchronous condenser (SC) on sub/super-synchronous oscillations in wind farms with different types of generator and compares it with STATCOM. Impedance model is adopted in this paper to explain the mechanism of oscillations in wind farms and its mitigation using SC. Compared to STATCOM, SC is more effective in oscillation mitigations of the two types of wind farms. Eigenvalue analysis and time domain simulations in PSCAD/EMTDC are used to check the influence on sub/super-synchronous oscillations from different parameters of SC, such as its capacity, leakage reactance and inertia constant. The results indicate that SC would improve the system stability while a larger capacity will induce a greater improvement. A smaller leakage reactance of SC also benefits the mitigation of oscillations while its inertia constant can hardly influence system stability.

Control of DPPS in Vehicle Using Feed-Forward Decoupling

To solve the contradiction between interior space and demand for electricity of vehicle, this paper brings forward the dual-generator parallel power system (DPPS). However, it is difficult to control the voltage and balance output power between two different types of generators simultaneously. Thus, feed-forward control has been developed to accomplish decoupling the target current of two generators, and proportional-integral-differential (PID) controllers, with its stability being discussed, are also designed to track desired values. Based on structural analysis of DDPS, the simulation model is built in MATLAB/Simulink to prove the preliminary feasibility of the scheme and provide a reference for the real system. Finally, bench tests have been performed involving the dynamic change in the reference voltage, engine rotating speed, and load, to verify the effectiveness of the proposed method. The results show that it can achieve synchronous control of the output voltage and current ratio of two generators in DPPS.

Sabit Mıknatıslı Senkron Generatör Performansının Yapay Sinir Ağı Modelleri ile Kestirimi

The interest in renewable energy sources has grown with the increase of environmental pollution and the decrease of fossil fuels. It is possible to provide energy supply security and diversity by using renewable energy sources. In this regard, wind energy, which is one of the renewable energy sources whose share in energy production increases day by day, emerges as a local and environmentally friendly solution. Many different types of generators are used in wind turbines and these have advantages and disadvantages according to each other. Permanent magnet synchronous generators (PMSG) are preferred because of their advantages such as high efficiency, high power density and being used directly in wind turbines without the need for gear system. In this study, the performance of the 2,5 kW PMSG, with a 14-pole surface placement, internal rotor, suitable for use in wind turbines, has been examined by changing the physical structure of the magnet. For this purpose, performance parameters such as total magnet consumption, efficiency, power loss have been successfully estimated using single and double hidden layered multi layer neural network (MLNN), elman neural network (ENN) and radial basis function neural network (RBFNN).

Optimization-Based Settingless Algorithm Combining Protection and Fault Identification

The demand for faster protection algorithms is growing due to the increasingly faster dynamics in the system. The majority of existing algorithms require empirically selected set-points, which may reduce sensitivity to internal faults and cause security problems. This paper addresses these challenges by proposing a settingless time-domain unit protection algorithm for medium-voltage lines. The main idea of the algorithm is to identify which model of a protected line, i.e. healthy or with an internal fault, is more consistent with the input measurements. This is done by solving a number of small-scale convex optimization problems, which at the same time determine the characteristics of an internal fault that best fit the measurements. Thus, the proposed algorithm merges protection, fault location, and fault type identification functionalities. The algorithm's performance is extensively tested on a small grid model in MATLAB Simulink and on the IEEE 34-bus distribution grid in EMTP-RV for different types of generation and grid operating conditions. The results demonstrate that the algorithm can operate quickly and reliably, and accurately estimate fault characteristics even in the presence of noisy measurements, non-ideal communication network conditions and the mismatch in the line model assumed by the algorithm and the model utilized for grid simulations.