Distribution Network Reconstruction Research Articles

Distribution network reconstruction with DG based on improved sparrow search algorithm

Distribution network reconstruction with DG based on improved sparrow search algorithm

The Ychsma ceramic provenance from Armatambo, 1250 – 1532 CE (Lima, Peru). A local or imported production?

The Ychsma society was one of the most important civilizations developed between 900 and 1532 CE in Lima, the present Peruvian capital, situated on the central coast of Peru. The Ychsma territory included the lower basin of the Rímac and Lurín valleys in the current city of Lima (Peru). Around 1470 CE, the Ychsma region was conquered and placed under the control of the Inca Empire, which ruled the region until the Spanish conquest in 1532 CE. Despite this, the Inca rule allowed local elites to maintain their position and control of the population. The archaeological site of Armatambo was an important administrative center of the Ychsma society. This site was actively occupied during the Middle Ychsma (1250–1350 CE) and Late Ychsma (1350–1532 CE) phases, and as the capital of the Sullco Curacazgo controlled a large part of the lower Rímac valley. During excavations at this site, many materials associated with ceramic production were found. One aspect crucial to the study of ceramic materials is the reconstruction of ceramic production and distribution networks, which allows us to obtain information linked to the social and economic interaction between communities. To determine the local or non-local origin of the materials found at Armatambo, 61 samples were analyzed using ICP-MS, Petrography, and SEM. The results were compared with archaeological and geological data from the Rímac valley to determine whether or not production there was local or non-local and to identify possible sources of raw materials.

Research on Data-Driven Distribution Network Planning Method

With the development of the intelligent and interactive power system, the elements of distribution network planning continue to increase. The distribution network connects the transmission system and individuals, directly affects the individual’s power consumption experience, and is a key link in the power system. A reasonable planning scheme can not only improve the power supply capacity and reliability of the distribution network but also fully apply the data of each system in the distribution network to realize the optimal planning of the medium-voltage distribution network driven by data. Firstly, this paper constructs the CIM model and the distribution network topology model and establishes the wiring pattern recognition feature library. The network reconstruction and planning method research was carried out for the target line, and a typical operation scenario of the distribution network was generated. At the same time, based on the time period network loss index, the distribution network reconfiguration optimization model and distribution network expansion planning model are established, and the solution method of the distribution network reconstruction and expansion planning model is expounded. A reconstruction optimization scheme with the best overall network loss performance is in the network operation scenario. The experimental results of the final example show that based on the proposed time period network loss index, the overall operation loss of the distribution network in a period can be calculated more accurately, and the optimized planning scheme is more suitable for the load power consumption characteristics of the region, and the method has certain feasibility.

A Graph Partition-Based Large-Scale Distribution Network Reconfiguration Method.

This article focuses on the analysis of large-scale distribution network reconstruction fused with graph theory and graph partitioning algorithms. Graph theory and graph segmentation algorithms have been rushed by many researchers in the fields of medicine, drone, and neural network. It is a newcomer in the field of computer vision, which can not only realize the division in color but also divide it by image data. The distribution network is also indispensable for new energy, electric machines, but the traditional distribution network has many problems, such as not suitable for distributed power access and excessive network loss. To improve the performance of distribution networks and reduce network losses, this paper A multi-division model for distribution network construction and reconstruction is established, and a graph theory-based division algorithm method is proposed to effectively solve the problem of feeder-to-feeder reconstruction during large-scale distribution in distribution networks. Through its superconductivity phenomenon and the characteristics of clustering algorithm division, this paper uses formulas to show its division principle and gives examples of various distribution network reconstruction algorithms to explore which method of improvement can improve the performance of the distribution network and reduce network losses. The number of iterations is also strictly considered, and the value is taken after multiple iterations to reduce the error. Through the distribution network calculation example, the network loss reduction value is obtained, and the distribution network fault repair model is exemplified. The picture is used to briefly describe the process of distribution network reconstruction and find that the faults of the distribution network can be quickly located and isolated through the FTU, and quickly repaired. Finally, in order to reduce the network loss, reduce the load of power flow calculation, and solve the problem of local optimization, a JA-BE-JA optimization algorithm based on large-scale distribution network reconfiguration is proposed. The mixed sampling method is preferred to test the number of divisions in the four states, and the parameters are selected to test the performance of the improved annealing simulation algorithm, and the conclusion is drawn as follows: the improved graph segmentation algorithm has strong robustness, can avoid local optimization of graph data, and can reduce network loss. Compared with traditional distribution network reconstruction methods, the network loss can be reduced to 454.3 KW, which can be optimized by 10.68% compared with the initial network loss.

Dynamic regulation method of distributed generation in distribution network under 5G network

Aiming at the problem of uneven power flow distribution caused by distributed power supply access, which leads to high voltage deviation and active network loss, a dynamic control method of distributed power supply in 5G network is proposed. The distributed topology structure of the distribution network under 5G network is generated, and the static topology information is extracted to establish the power partition. The distribution network in each area is connected to its own bus through different feeders. The distribution network reconstruction period is divided in the partition, and the network reconstruction period and the corresponding switch action scheme are determined. The state of distributed power supply was estimated according to reconstruction period and active/reactive power balance index, and the stability of dynamic control was determined. Based on the stability control, the dynamic control model of distributed power supply is established, and the network voltage can reach the preset target by adjusting the power of power switch. The simulation results show that the average voltage deviation of the proposed control method is 1.976, which is 4.431 and 3.783 lower than those based on data drive and flexible load regulation, respectively. The active power network loss of the control method in this paper is 0.342 MW, which is 0.385 MW and 0.346 MW lower than that of the control method based on data drive and flexible load regulation, respectively. Therefore, this method can improve the absorption capacity of distributed power supply and promote the power flow reciprocity of distribution network.

К вопросу значимости влагостойких свойств бетона пристроительстве токоограничивающих реакторов подстанции

Switchgears are an integral part of the energy industry of the Republic of Kazakhstan, which include substations, electrical installations, power transmission lines and other facilities. Currently, they are undergoing physical and moral wear and tear. The growth of production capacities of industry and the population emphasizes the need for intensive development of the energy complex using the technologies of the XXI century, while maintaining a technological balance between traditional energy and renewable energy sources [4]. The concept of development of the fuel and energy complex of the Republic of Kazakhstan until 2030 fully reflects these tasks and development approaches. In addition, the construction and reconstruction of distribution networks are due to the growth of a total load of consumers, which, even now, continues to increase rapidly. Concrete used in construction is an integral part of all types of construction and installation work. Thus, the concrete mixture used in the construction of energy facilities must have special properties and moisture-resistant characteristics, allowing you to solve specific energy problems, which include: reliability, durability, low electrical conductivity and other characteristics of concrete structures. High indicators of the above requirements are imposed in the places of installation of current-limiting reactors at electrical substations.

Multi - objective distribution network reconstruction based on decimal coding

The distribution network reconfiguration problem is a highly complex mixed integer, nonlinear, multi-objective planning problem. According to the closed-loop design and open-loop operation of the distribution network, this paper proposes a loop- based decimal coding method to reduce the space of infeasible solutions. At the same time, combined with breadth-first search to form and test feasible solutions. The text takes the network loss and voltage deviation as the target, uses the NSGA-II algorithm for multi-objective optimization, and uses the Newton Raphson method to check and evaluate the reconstruction scheme. Finally, an IEEE-33 node test case is used to verify the algorithm. The results show that the algorithm can quickly calculate an approximate global optimal network reconstruction scheme.

IMPROVEMENT OF THE METHODOLOGY OF SUBSTANTIATION OF DISTRIBUTION NETWORKS RECONSTRUCTION

It is proposed to improve the methodology of substantiation of the distribution networks reconstruction by using a risk-oriented approach. It is substantiated that modern risk management technologies are based on engineering calculations with the use of competencies in financial knowledge and knowledge of quality management standards. The analysis showed that in the substantiation of the reconstruction of the objects of the distribution networks the priority objects are not determined, the estimated number of failures of the objects is not used in the calculations. The work aims is to improve the methodology of substantiation of the reconstruction of distribution networks with the development of a block diagram of the calculation algorithm to determine the priority of reconstruction objects. Methods of analysis of normative and reporting documents of distribution system operators and mathematical modelling of the duration of restoration work after the failure of distribution network facilities were used to solve the aims and tasks of work. The results of the analysis of the consequences of failures of overhead power lines concerning the duration of repairs are given. It is proved that in the conditions of incomplete financing of investment programs, the definition of priority objects of reconstruction is an influential factor for the efficiency of investments. A block diagram of the calculation algorithm has been developed for use in computer programs to determine the priority of reconstruction of distribution network objects after determining objects with critical consequences of failure. It is proposed to use a quantitative assessment of the technical condition of distribution network facilities, standards for labour intensity, and the number of service personnel in the algorithm for determining the priority of reconstruction of overhead power lines and transformer substations. It is concluded that in the conditions of incomplete financing of investment programs, the proposed methodology and block diagram of the algorithm for determining the priority objects of reconstruction of distribution networks can be useful to ensure the most effective work to improve the quality of electricity supply.

A distribution network reconstruction method with DG and EV based on improved gravitation algorithm

In order to solve the problem of distribution network reconstruction with distributed generation (DG) and electric vehicle (EV), a multi-objective distribution network reconstruction model with DG and EV is established in this study. Two rules for opening the loop are proposed to reduce the probability of infeasible solutions. Some measures are proposed to improve traditional gravitational algorithm (GSA). Firstly, the particle swarm algorithm (PSO) is combined to improves the update formula of speed and position. In this way, the global search capability of the GSA is enhanced, which gives the best performance with respect to jump out of the local traps. Furthermore, the processing method for agents that cross the boundary is improved, which increases the diversity of samples while generating elite particles. Hence, this method can improve the efficiency of the algorithm. Finally, the variability of load, DG and EV is considered for dynamic reconstruction. The validity of the optimization algorithm and refactoring strategy are demonstrated by case studies in the paper.

A Novel Reconfiguration Strategy of Distribution Network

Distribution network reconstruction is important for the reliable operation of distribution network. This paper establishes a mathematical model by using random weight for multi-objective optimization. A new algorithm is proposed based on binary particle swarm optimization (BPSO) algorithm, which can quickly adjust topology and cut off load in limit state. The new algorithm improves the distribution network’s reliability with the advantages of lowest power loss, better load balance and highest power supply capacity. Finally, the performance of the proposed method is tested on IEEE 33-node power distribution system.

Research on optimization algorithm of distribution network reconstruction based on cuckoo search-particle swarm optimization

As the distribution network environment becomes more complex, improving the optimization effect and running time is the key to distribution network reconfiguration. In this paper, firstly, the minimum branch power loss is used as the evaluation index of the result, and the hybrid algorithm of PSO algorithm and CS algorithm is selected as the optimization method of the reconstruction problem. Secondly, the mathematical model of the distribution network introduced by DG is simplified, and the static distribution network weight is used. It is a simplified way of power flow solving by introducing DG into the distribution network model. Based on the CS-PSO algorithm, the optimization calculation of the distribution network reconfiguration with DG is carried out. Finally, a calculation example proves the rationality and effectiveness of the method.

Economic impact of the POP mode on distribution network reconstruction in the ‘coal‐to‐electricity’ project of the grid company in China: a new electricity transaction mode

AbstractThe ‘coal to electricity’ carried out by the grid company has had poor economic performance during its life cycle. This paper aims to investigate the economic impact of the package deal of off‐peak electricity transaction mode (POP) on the ‘coal‐to‐electricity’ project in comparison with peak and valley electricity price (PVP). The incremental net present value and the incremental benefit–cost ratio are selected as the main economical evaluating indicators. Taking a coal‐to‐electricity project in a region of Beijing, China, as an example to study the economic benefit of the grid company in POP. The results indicate that the economic benefit of the grid company is increased by 48% in POP compared to that in PVP. The incremental benefit–cost ratio is less than 1, which demonstrates that POP is conducive to improving the current loss status of the grid company. It is helpful to raise the grid company's enthusiasm for conducting the coal‐to‐electricity project. Finally, corresponding suggestions are put forward to help the grid company in improving the negative economic benefit. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

Research on Optimization of Planned Interruption Non-Effect for Distribution Network Planning Based on Improved Particle Swarm Optimization Algorithm

This paper proposes a distribution grid network planning model based on improved particle swarm optimization algorithm with planned interruption non-effect load fluctuation uncertainty, and studies the distribution network reconstruction and distribution network fault isolation recovery. Through simulation, it is found that the improved particle swarm optimization algorithm enhances particle diversity, accelerates convergence, and has good global search ability. It is feasible and effective, and has positive significance for promoting the application of PSO in power systems.

Optimization design of reconfiguration algorithm for high voltage power distribution network based on ant colony algorithm

Abstract Distribution network reconfiguration is a very complex and large-scale combinatorial optimization problem. In network reconfiguration, whether an effective solution can be obtained is a key issue. Aiming at the problems in network reconstruction by traditional algorithm, such as long time required, more times of power flow calculation and high network loss, a network optimization design algorithm based on improved ant colony algorithm for high voltage power distribution network is proposed. After analyzing the operating characteristics of the high voltage power distribution network, the network topology of the high voltage power distribution network is described by constructing a hierarchical variable-structure distribution network model. A mathematical model of distribution network reconstruction considering the opportunity constraint with the minimum network loss as the objective function is established. The power flow distribution is calculated by using the pre-push back-generation method combined with the hierarchical structure of the distribution network. The maximum and minimum ant colony algorithm is introduced to improve the pheromone updating method of the traditional ant colony algorithm, and the search range is expanded, so that the algorithm can jump out of the local optimization trap to realize the accurate solution of the power distribution network reconstruction model. The experimental results show that compared with the current network reconstruction algorithm, the proposed algorithm requires less time for convergence, less power flow calculation, and lower network loss.

Influence Research of Renewable Energy Application on Power Quality Detection

With the development of renawable energy generation systems, it not only relieves energy shortages and environmental pollution problems, but also brings harmonic pollution, which is related with power quality decetion. A modified harmonic and interharmonic analysis method is studied in this paper. By applying window interpolation, signal reconstruction, 5-point modified algorithm, and other signal handling methods, harmonic and inharmonic components are separated exactly, improving harmonic and interharmonic detection accuracy under new energy application, providing accurate signal basis and reference for further harmonic suppression and distribution network reconstruction scheme, and finally improving power quality.

WORN-OUT GAS DISTRIBUTION PIPELINES RECONSTRUCTION BY MEANS OF TRENCHLESS TECHNOLOGY AS THE WAY TO INCREASE GAS DISTRIBUTION SYSTEMS SAFETY

Background Today the main part of gas distribution pipelines consists of worn-out steel pipes with the expired effective life that adds to the problem of gas distribution networks safe operation as the condition of these objects industrial safety is substantially defined by physical wear of the gas pipelines, constructions and the equipment which have exhausted the useful operating life. Such prospect threatens a possibility of gas sale, and decrease in reliability and safety of gas distribution objects will increase risks of accidents on them. Therefore the salvation of problem of efficient reconstruction execution remains at the moment a relevant task. Aims and Objectives To consider modern technologies of reconstruction of gas distribution pipelines and to offer a method of safe functioning of the underground gas pipeline. Methods For selection of the safest method of reconstruction there has been carried out the analysis of scientific and technical literature and normative documents on building, repair, reconstruction of gas distribution networks, there have been studied modern technologies of reconstruction promoting gas pipeline safe operation and permitting to carry out repair works the most safe and economical. Results The research work resulted in developing of the decision-making algorithm at the choice of the gas distribution pipeline reconstruction technology and offering the optimum and safest reconstruction method for the considered section of the distributive underground gas pipeline according to the worked out algorithm on the basis of the comprehensive analysis of shortcomings and advantages of various reconstruction technologies for specific conditions. Thus, introduction of modern technologies of gas distribution pipelines reconstruction will lead to long, trouble-free and, the principal point, safe operation of one of the most important links of gas distribution system and will allow to improve safety and efficiency of gas distribution qualitatively, thereby providing high level of industrial safety on objects of the gas complex.

Optimal Reconstruction of Power Distribution Network based on Reliability and Economy

Great significance shall be attached to the research on how to improve reliability of user-end power supply with limited expense by coordinating reliability and economic efficiency of power grid, so that to meet the increasing demand on reliability of electric power, and achieve considerable economic effectiveness. In this paper, process of power distribution network reliability calculation based on minimum-path failure mode and effect analysis mode is expounded, and a demonstration on calculation of power distribution network reliability is provided. Furthermore, cost-benefit analysis, which includes calculations of cost and benefit of reliability, is introduced to reflect reliability efficiency through power interruption cost calculation. At the end of this paper the cost-benefit Analyses is applied on the optimal reconstructed power distribution network.

Evaluation of directional relay algorithms in the presence of FCL

Integration of distributed generations into distribution systems has various impacts on power networks such as reconstruction of distribution networks and increase in short-circuit capacity. Reconstruction of distribution networks magnifies importance of detecting faults directions, which is relegated to directional relay. On the other hand, one of the most attractive approaches to mitigate the increased short-circuit capacity is utilising fault current limiters (FCLs). Since FCLs can drastically affect voltage and current signals during the first quarter cycle after fault occurrence and due to overlap between operation time of FCLs and directional relays, the affected voltage and current signals can lead to mal-operation of directional relays. To investigate this issue, performance of some well-known directional relay algorithms is investigated with and without the presence of FCL using plenty of simulations and some experiments. It is concluded that the FCL has different impacts on the investigated algorithms, so that some of them are not affected and some others are considerably affected.

Implementing ΔQ Method to Accelerate the Optimization of Pressurized Pipe Networks

Abstract To optimize the design of a pressurized pipe network, large number of possible solutions needs to be examined. This paper explores the option to accelerate the computation using ΔQ hydraulic method. The ΔQ method is firstly used in a standard form, as stand-alone hydraulic solver inside the evaluation function. Second version was to use ΔQ method once to solve the initial network, and during optimization procedure, unknown flow corrections were added to list of other unknowns for optimization. The suggested approach was tested on New York City distribution network reconstruction example using standard genetic algorithms (GA).

Prospective Analysis of Distribution Network Reconstruction on Electric Vehicles access to Demonstration District

With the accelerated pace of plug-in electric vehicles (EV) access to the smart grid, large quantities of EV charged in old communities may cause the overload of distribution network. Reconstruction of the network appropriately and accordingly should be a fundamental solution to prevent the potential crisis. In this paper, prospective scale of EV is firstly estimated with the statistics of historical ownership of vehicles through logistic curve based on least absolute deviation (LAD) method. Under the scenarios estimated, the Monte Carlo simulation method is applied to determine the starting state of charge (SOC) and the initial point. Then an assumed demonstration district is employed to study the charging load in the uncoordinated charging mode at different EV penetration level. Simulation results indicate that, in the future, EV will pose great pressure on the distribution network and the reconstruction of power facilities such as transformers and transmission lines is necessary to ensure the security and stability of the network.DOI: http://dx.doi.org/10.5755/j01.eee.19.6.4554