Adaptive Protection System Research Articles

An advanced graph algorithm-based protection strategy for detecting kilometric and cross-country faults in DC microgrid

Low voltage DC microgrids (LVDC) are on rise, because of increase in usage of electronics-based utility loads. However, the protection and safety aspects of these grids remain unresolved due to the fault current magnitude, unnecessary tripping, and blinding of protection. In this paper, an adaptive differential protection system incorporated with an advanced graph algorithm is proposed for DC microgrid. This graph algorithm is a combination of Fenwick tree and Bidirectional Dijkstra algorithm. Fenwick tree algorithm is used to determine the network configuration and Bidirectional Dijkstra algorithm is used to determine the least distance from the fault location to the nearest distributed generations. The developed protection scheme is applied to a 7 bus, 400 V DC microgrid setup using Real Time simulator (control hardware in loop) to detect and clear the faults such as kilometric faults, and cross-country faults. In terms of efficiency, the proposed algorithm demonstrates superiority over the conventional algorithm by detecting and rectifying faults in 384 μs.The results depict the robustness of the protection setup in clearing the faults rapidly with minimum network disconnection.

Distribution network adaptive protection system based on artificial intelligence

Abstract With the continuous development of society, the requirements of enterprises and the public for the reliability of the power system are also improving, and the fault identification and protection action of the distribution network is conducive to the comprehensive analysis and overhaul of the line, which is of great significance. In this paper, a short-circuit fault identification method for distribution networks based on artificial intelligence technology is proposed to categorize and predict power system faults using an association rule algorithm. Then, a distribution network adaptive protection strategy based on the equivalent impedance of the distributed energy system is proposed, which real-time adjusts the setting value and criterion of the protection through the distribution network containing distributed energy devices connected to the grid and adjusts the working status in normal operation, realizing that the current protection of the distribution network adapts itself to the change of the working conditions of the distribution network system of IIDG. Simulation results show that when two-phase grounding and three-phase short-circuit faults occur in the distribution network under the protection of the adaptive system. The protection circuits start instantaneously in 0.005s, which realizes the functions of the fast startup, self-sustained operation, and controllable shutdown when faults occur in the distribution network. Meanwhile, the feasibility of the scheme is verified by utilizing the system to output short-circuit faults in the case of IIDG grid-connected or off-grid when the respective integrating values are greater than the positive sequence short-circuit current values.

STRUCTURES OF ADAPTIVE SIGNAL PROCESSING SYSTEMS FOR RADAR SENSORS OF EXTERNAL INFORMATION FOR CORRELATION-EXTREME AIRCRAFT NAVIGATION SYSTEMS

During the guidance of the aircraft on the final part of the flight, it is affected, along with other external factors, by interferences of various (artificial or natural) origins. These interferences have various effects on the receiving elements of the antenna array of the radar sensor of external information. Due to the variability and rapidity of the complex interference situation, adaptive interference protection systems are the most effective in combating these interferences. It is known that the use of adaptive processing systems allows for overcoming the practically inevitable a priori uncertainty of statistical characteristics of signals and interference of various origins. At present, due to the development of digital technology, new methods and devices for adaptive signal processing against the back- ground of interference have appeared. Thus, the arsenal of methods of adaptation to Gaussian disturbances has been supplemented by methods involving the inversion (direct or recurrent) of the most plausible estimates of correlation matrices of disturbances or their regularized varieties. Wide possibilities of adaptation are opened up in modern radar stations with multi-element phased antenna ar- rays, which provide for digital information processing. Due to the very high speed of the aircraft during the operation of its correlation- extreme guidance system, as well as due to the dynamic and non-stationary interference environment, an important requirement for adaptive anti-jamming systems is their speed. The effectiveness of adaptive processing of signals against the background of interference can be significantly increased by using reliable a priori information. The paper considers a method of increasing the speed of adaptive protection systems against radar interference of various origins by taking into account a priori information about the central symmetry of the receiving channels of radar sensors of external information of correlation-extreme aircraft navigation systems. It is shown that taking into account such a priori information as the central symmetry of the receiving channels of radar sensors of external informa- tion leads to a corresponding change in the structure of devices for adaptive signal processing in the conditions of interference in these sensors and as a consequence, to an increase in their speed.

ПРОГНОЗИРОВАНИЕ РАЗВИТИЯ ВОСТОЧНОЙ ПЛОДОЖОРКИ (GRAPHOLITA MOLESTA) С УЧЁТОМ ПОГОДНЫХ ФАКТОРОВ ДЛЯ РАЗРАБОТКИ СИСТЕМЫ ЗАЩИТЫ РАСТЕНИЙ МНОГОЛЕТНИХ НАСАЖДЕНИЙ

Modern agriculture is impossible without the use of plant protection products against pests and diseases, which, with their free development, significantly reduce the productivity of plantings and the marketability of the harvested crop. Research conducted in this direction abroad is aimed at using predictive mathematical models that link environmental factors that are significant for the pest and its development. At the same time, the system of intellectualization of such a forecast is increasingly being used with the use of artificial intelligence methods that independently form models based on constantly accumulating information databases. The aim of the study was to evaluate the effectiveness of an automated program for forecasting the development of the oriental fruit moth, developed on the basis of the temperature factor of the environment for the subsequent selection of an optimal adaptive plant protection system for perennial crops. To compare the results of the automated calculation of the development of the eastern fruit moth with objective data in the field, we carried out observations of the calendar dates of the butterfly flights and overcoming the economic threshold of harmfulness (ETH) on pheromone traps placed in peach plantations, on which chemical treatments with insecticides were not carried out in the period from 2019 to 2022. In the course of the research, a useful computer program was developed to determine the calendar dates of the development of the oriental fruit moth based on air temperature data using flexible logical algorithms. It is established that the variability of the terms of individual development of the pest provides an increase in the phase periods with each successive generation. The use of a computer program will allow us to develop a system for protecting trees from pests, as well as to adjust the timing of measures depending on objectively changing indicators of the conditions of the year.

Optimization of the cathodic protection system for the main pipelines

This study investigated the multi-criteria task of optimizing the operating modes of cathodic protection stations (CPS), considering monitoring data, geological conditions at the pipeline installation site, climatic or seasonal changes, and other factors. The relevance of this research is associated with a comprehensive solution to the problem of increasing the durability and reliability of trunk pipelines to reduce accidents at their facilities by ensuring the efficiency of electrochemical protection (EChP) systems. The problems of existing EChP systems are analyzed, where the elimination of anode zones ("lack of protection") due to cathodic polarization is carried out without operational consideration of environmental conditions, as a rule, with a margin in terms of protective potential, which often leads to "overprotection", resulting in increased power consumption, gas formation on the metal surface, and detachment and wear insulation of pipelines. The aim of this research is to create a method for optimal regulation of the operation modes of the main pipelines and an adaptive electrochemical protection system that provides control and parameter management of cathodic protection stations, considering changes in external conditions on individual linear sections of main pipelines. Tasks: to develop an adjustment method for finding the effect of the CPS on the value of potentials at control points along the pipeline route; to develop a multicriteria optimization model for regulating the operation modes of the CPS; and to provide an example of testing the method of optimal regulation on the objects of the linear part of the existing main gas pipeline. The following results were obtained. A method is proposed for determining the effect of CPS operating modes on the value of potentials at control points in the mode of interrupting the protection current of other stations. An optimization model was formed according to the criterion of uniformity of the distribution of the protective potential "pipe-ground" along the pipeline route and according to the criterion of the minimum total protective current of all CPSs on a given section of the main pipeline. Conclusions. The scientific novelty of the results obtained is associated with the development of an original optimization method that allows scientifically determining the operation modes of the CPS to ensure the protection of the main pipeline both in time and length with reduced operating costs and adaptability to changes in climatic, seasonal, and geological conditions at the pipeline installation site. The effectiveness of the proposed approach is illustrated by the regulation of the parameters of the CPS based on the monitoring data of the section of the main gas pipeline of the oil and gas complex of the Republic of Kazakhstan.

On-line and adaptive protection system to resolve load blinding protection scheme limits in networks with highly integrated DERs

On-line and adaptive protection system to resolve load blinding protection scheme limits in networks with highly integrated DERs

Smart Protection System for Microgrids with Grid-Connected and Islanded Capabilities Based on an Adaptive Algorithm

This work proposes a smart protection system for microgrids, which relies on an adaptive metaheuristic for the automatic calculation of optimal settings for directional overcurrent relays (DOCRs). The adaptive fuzzy directional bat algorithm (AFDBA) associated with a fuzzy inference system (FIS) is used for this purpose. A prominent advantage of this solution is that there is no need for an initial tuning of the parameters associated with the algorithm, unlike many traditional approaches reported in the literature. Such a metaheuristic is used in the conception of an adaptive protection system (APS) in the context of a microgrid while taking into account the connection status of distributed generation (DG) units under distinct scenarios. A performance comparison with a protection system with fixed optimal settings (PSFOS) is also presented. The results demonstrate that the proposed APS outperforms the PSFOS while providing faster response, higher reliability and less susceptibility to miscoordination. In other words, it presents a shorter trip time when compared with the PSFOS, with a reduction of 6.83% and 26.58% when considering the DG penetration and the islanded microgrid, respectively.

A Multidimensional Assessment of a Novel Adaptive Versus Traditional Passive Ankle Sprain Protection Systems

Background: Ankle braces aim to reduce lateral ankle sprains. Next to protection, factors influencing user compliance, such as sports performance, motion restriction, and users’ perceptions, are relevant for user compliance and thus injury prevention. Novel adaptive protection systems claim to change their mechanical behavior based on the intensity of motion (eg, the inversion velocity), unlike traditional passive concepts of ankle bracing. Purpose: To compare the performance of a novel adaptive brace with 2 passive ankle braces while considering protection, sports performance, freedom of motion, and subjective perception. Study Design: Controlled laboratory study. Methods: The authors analyzed 1 adaptive and 2 passive (one lace-up and one rigid brace) ankle braces, worn in a low-cut, indoor sports shoe, which was also the no-brace reference condition. We performed material testing using an artificial ankle joint system at high and low inversion velocities. Further, 20 male, young, healthy team sports athletes were analyzed using 3-dimensional motion analysis in sports-related movements to address protection, sports performance, and active range of motion dimensions. Participants rated subjective comfort, stability, and restriction experienced when using the products. Results: Subjective stability rating was not different between the adaptive and passive systems. The rigid brace was superior in restricting peak inversion during the biomechanical testing compared with the passive braces. However, in the material test, the adaptive brace increased its stiffness by approximately 400% during the fast compared with the slow inversion velocities, demonstrating its adaptive behavior and similar stiffness values to passive braces. We identified minor differences in sports performance tasks. The adaptive brace improved active ankle range of motion and subjective comfort and restriction ratings. Conclusion: The adaptive brace offered similar protective effects in high-velocity inversion situations to those of the passive braces while improving range of motion, comfort, and restriction rating during noninjurious motions. Clinical Relevance: Protection systems are only effective when used. Compared with traditional passive ankle brace technologies, the novel adaptive brace might increase user compliance by improving comfort and freedom of movement while offering similar protection in injurious situations.

Tap Staggering Analysis and Effects on the Adaptive Protection System in Networks With Renewable Energy Sources

Tap Staggering Analysis and Effects on the Adaptive Protection System in Networks With Renewable Energy Sources

Optimal cybersecurity management of an IP video surveillance system using neural network technologies

The aim of the study is to solve the actual problem of constructing an optimal strategy for managing a system for protecting against the spread of computer epidemics of IP video surveillance networks used in the work of distributed situational centers. The paper presents a new mathematical modeling apparatus for building an adaptive network protection system from cyber-attacks using a hybrid approach that uses both classical control and neurocontrol based on an artificial neural network.

A Data Normalization Technique for Detecting Cyber Attacks on UAVs

The data analysis subsystem of an Unmanned Aerial Vehicle (UAV) includes two main modules: a data acquisition module for data processing and a normalization module. One of the main features of an adaptive UAV protection system is the analysis of its cyber-physical parameters. An attack on a general-purpose computer system mainly affects the integrity, confidentiality and availability of important information. By contrast, an attack on a Cyber-Physical System (CPS), such as a UAV, affects the functionality of the system and may disrupt its operation, ultimately preventing it from fulfilling its tasks correctly. Cyber-physical parameters are the internal parameters of a system node, including the states of its computing resources, data storage, actuators and sensor system. Here, we develop a data normalization technique that additionally allows us to identify the signs of a cyber-attack. In addition, we define sets of parameters that can highlight an attack and define a new database format to support intrusion detection for UAVs. To achieve these goals, we performed an experimental study of the impact of attacks on UAV parameters and developed a software module for collecting data from UAVs, as well as a technique for normalizing and presenting data for detecting attacks on UAVs. Data analysis and the evaluation of the quality of a parameter (whether the parameter changes normally, or abrupt anomalous changes are observed) are facilitated by converting different types of data to the same format. The resulting formalized CPS model allows us to identify the nature of an attack and its potential impact on UAV subsystems. In the future, such a model could be the basis of a CPS digital twin in terms of security. The presented normalization technique supports processing raw data, as well as classifying data sets for their use in machine learning (ML) analyses in the future. The data normalization technique can also help to immediately determine the presence and signs of an attack, which allows classifying raw data automatically by dividing it into different categories. Such a technique could form the basis of an intrusion detection system for CPSs. Thus, the obtained results can be used to classify attacks, including attack detection systems based on machine learning methods, and the data normalization technique can be used as an independent method for detecting attacks.

Zonal Machine Learning-Based Protection for Distribution Systems

Adaptive protection is defined as a real-time system that can modify the protective actions according to the changes in the system condition. An adaptive protection system (APS) is conventionally coordinated through a central management system located at the distribution system substation. An APS depends significantly on the communication infrastructure to monitor the latest status of the electric power grid and send appropriate settings to all of the protection relays existing in the grid. This makes an APS highly vulnerable to communication system failures (e.g., broken communication links due to natural disasters as well as wide-range cyber-attacks). To this end, this paper presents the addition of local adaptive modular protection (LAMP) units to the protection system to guarantee its reliable operation under extreme events when the operation of the APS is compromised. LAMP units operate in parallel with the conventional APS. As a backup, if APS fails to operate because of an issue in the communication system, LAMP units can accommodate a reliable fault detection and location on behalf of the protection relay. The performance of the proposed APS is verified using IEEE 123 node test system.

АДАПТИВНАЯ СИСТЕМА ЗАЩИТЫ СЕНСОРНЫХ СЕТЕЙ ОТ АКТИВНЫХ АТАК

38Адаптивная система защиты сенсорных сетей от активных атак Вопросы кибербезопасности. 2022. No 6(52) Architecture of AdAptiVe protection system for sensor netWorK Basan A.S.6 , Basan E.S.7 , Peskova O.Yu.8 , Sushkin N.A.9 , Shulika M.G.10 Purpose: Development of the adaptive protection system architecture for sensor networks and cyber-physical systems for anomaly detection based on the collection and analysis of cyber-physical parameters. Method: The method is based on the use of probability theory, mathematical statistics, and information theory. The entropy measure and normalization of the raw data make it possible to unify the data and evaluate it in terms of anomaly detection. Results: The existing solutions for the protection of cyber-physical systems from external active attacks were analyzed. The architecture of an adaptive system for a cyber-physical system protection is proposed. As part of the representation of the node data collection and analysis subsystem, a method for estimating cyber-physical parameters to detect intrusions is proposed. Three parameter changes for four behavioral scenarios were analyzed in detail in this study. Even by three parameters, you can determine the difference between attacks and normal behaviors. It is possible to evaluate not only the fact of parameter change, but also the degree of its change. At the same time, the node autonomously compared changes in its parameters with changes in the parameters of the neighboring node and could identify the impact of the attack on the neighboring node. The scientific novelty primarily consists in the fact that for the first time a method for determining the abnormal activity of a cyber-physical system based on the evaluation of system parameters using a measure of entropy and normalization of raw data has been developed, which makes it possible to achieve a high level of detection of known and unknown attacks. This method can be effectively used also for autonomous systems. The original architecture of the adaptive system for protecting the cyber-physical system is also proposed, its main components are worked out. When implementing an attack in a distributed system, this development will allow the node to detect anomalies not only autonomously, but also distributed, that is, to detect the impact on neighboring nodes.

Microgrid Protection through Adaptive Overcurrent Relay Coordination

The inclusion of distributed energy resources (DER) in Microgrids (MGs) comes at the expense of increased changes in current direction and magnitude. In the autonomous mode of MG operation, the penetration of synchronous distributed generators (DGs) induces lower short circuit current than when the MG operates in the grid-connected mode. Such behavior impacts the overcurrent relays and makes the protection coordination difficult. This paper introduces a novel adaptive protection system that includes two phases to handle the influence of fault current variations and enable the MG to sustain its operation. The first phase optimizes the power flow by minimizing the generators’ active power loss while considering tolerable disturbances. For intolerable cases, the second phase opts to contain the effect of disturbance within a specific area, whose boundary is determined through correlation between primary/backup relay pairs. A directional overcurrent relay (DOCR) coordination optimization is formulated as a nonlinear program for minimizing the operating time of the relays within the contained area. Validation is carried out through the simulation of the IEEE 9, IEEE 14, and IEEE 15 bus systems as an autonomous MG. The simulation results demonstrate the effectiveness of our proposed protection system and its superiority to a competing approach in the literature.

Integration Analysis of Electric Vehicle Charging Station Equipped with Solar Power Plant to Distribution Network and Protection System Design

The improvements and implementation of new generation equipment to the conventional grids are increasing along with the increase of the number of renewable energy power plants and smart grid components. The existing grid infrastructure is required to be modified and upgraded as a result of the increasing integration of the renewables and new generation consumers where the availability of the existing networks has to be analyzed for integration as well. In order to keep the grid stable and integrate the renewables to the grid optimally, necessary analyses have to be realized including the investigation of the optimal integration criteria. During the integration phase of the new generation consumers and producers, two ways power flows and variable power production of renewables have to be considered for system design. In this study, analysis for optimal sizing and integration studies are performed for electric vehicle parking lot and solar power plants located on the campus distribution network considering optimal sizing criteria and the aim of stabilization of voltage regulation during day time operation of solar power plant and random charging profile of electric vehicles. The proposed network is equipped with adaptive protection system to ensure stability and the reliability of the distribution network in the concept of smart grid.

Low-Dose Ionizing Radiation Therapy: A Novel Treatment for Post-Concussion Syndrome?

A subset of victims who experience concussion suffer from persistent symptoms spanning months to years post-injury, termed post-concussion syndrome (PCS). Problematically, there is lack of consensus for the treatment of PCS. Concussion injury involves a neurometabolic cascade leading to oxidative stress and neuroinflammation which parallels the oxidative stress loading occuring from age-related neurodegenerative conditions. Historical and recent evidence has emerged showing the efficacy of low-dose radiation therapy for many human diseases including neurodegenerative diseases such as Alzhiemer’s disease (AD). Due to the pathognomonic similarities of oxidative stress and neuroinflammation involved in PCS and neurodegenerative disease, treatments that prove successful for neurodegenerative disease may prove successful for PCS. Recently, low-dose ionizing radiation therapy (LDIR) has been documented to show a reversal of many symptoms in AD, including improved cognition. LDIR is thought to induce a switching from proinflammatory M1 phenotype to an anti-inflammatory M2 phenotype. In other words, a continual upregulation of the adaptive protection systems via LDIR induces health enhancement. It is hypothesized LDIR treatment for PCS would mimic that seen from early evidence of LDIR treatment of AD patients who suffer from similar oxidative stress loading. We propose the application of LDIR is a promising, untapped treatment for PCS.

An Adaptive Protection System for Sensor Networks Based on Analysis of Neighboring Nodes.

Creation and operation of sensor systems is a complex challenge not only for industrial and military purposes but also for consumer services (“smart city”, “smart home”) and other applications such as agriculture (“smart farm”, “smart greenhouse”). The use of such systems gives a positive economic effect and provides additional benefits from various points of view. At the same time, due to a large number of threats and challenges to cyber security, it is necessary to detect attacks on sensor systems in a timely manner. Here we present an anomaly detection method in which sensor nodes observe their neighbors and detect obvious deviations in their behavior. In this way, the community of neighboring nodes works collectively to protect one another. The nodes record only those parameters and attributes that are inherent in any node. Regardless of the node’s functionality, such parameters include the amount of traffic passing through the node, its Central Processing Unit (CPU) load, as well as the presence and number of packets dropped by the node. Our method’s main goal is to implement protection against the active influence of an internal attacker on the whole sensor network. We present the anomaly detection method, a dataset collection strategy, and experimental results that show how different types of attacks can be distinguished in the data produced by the nodes.

Adaptive Differential Protection System for Microgrid

Microgrids are the small version of power system which grants us the integration of distributed generation resources to insure the facilities to the remotely located electric loads as well as have so many advantages over traditional power system like reduced transmission loss, green energy solution and proper use of renewable energy resources. However the resilience offered by microgrid is inconvenient if it is not be able to protect properly in case of any disturbance occurs which is very common in microgrid due to load dynamics. Protective devices used in traditional power grid cannot actually protect microgrid due to variable loads and different fault levels at grid connected modes and islanded modes. The available research about this concern has not been very successful, therefore options like distance, directional over current and differential relay remains effective protection scheme from present standard. Even though these relays are very useful in power system but their effectiveness for microgrid is yet to be analyzed. This paper is presenting the MATLAB simulation based analysis for differential relay type adaptive protection system by taking a complex microgrid model and generating various fault and generation capacities and analyzing it. In this paper different scenarios has been discussed where differential relay seems to be better than distance and directional over current relay protection scheme.

PAOSS

This paper describes the development of an innovative, material- and energy-efficient facade concept:a pneumatically actuated Origami sun shading system - abbreviated “PAOSS” - which combines theaesthetic and material-immanent qualities of textile materials with the functional aspects of a controlledand targeted light transmission regulation by means of integrated active pneumatic components (Fig. 1).Due to the possibility of reducing a given surface to a minimal form, textile-based folding structures arehighly suitable for selective sun and glare protection systems, in order to optimise energy consumptionand increase user comfort. For astrophysical purposes, the American space agency (NASA) developedan Origami folding geometry called “Starshade,” which is characterised by a particularly high differencebetween its closed and open state. Inspired by NASA’s “Starshade,” an adaptive, pneumaticallyactuated sun and glare protection system was designed and developed to be embedded in the cavity ofpneumatically supported multi-layer ETFE cushion facades. By implementing active components, onecan obtain a targeted, partial, or full-surface regulation of light and radiation transmission as well as theback-reflection properties of the facade. Within the scope of the research project “Adaptive MembraneFacades” funded by the research initiative Zukunft Bau, the PAOSS will be prototypically built at a scale of1:1 and implemented on one storey of the demonstration high-rise building of the Collaborative ResearchCentre 1244 entitled “Adaptive Skins and Structures for the Built Environment of Tomorrow.” The goal isthe system validation and the monitoring of its reliability and efficiency, especially in terms of buildingphysics and daylight performance under real weather conditions.

Are Continued Efforts to Reduce Radiation Exposures from X-Rays Warranted?

There are pressures to avoid use of radiological imaging throughout all healthcare due to the notion that all radiation is carcinogenic. This perception stems from the long-standing use of the linear no-threshold (LNT) assumption of risk associated with radiation exposures. This societal perception has led to relentless efforts to avoid and reduce radiation exposures to patients at great costs. Many radiation reduction campaigns have been launched to dissuade doctors from using radiation imaging. Lower-dose imaging techniques and practices are being advocated. Alternate imaging procedures are encouraged. Are these efforts warranted? Based on recent evidence, LNT ideology is shown to be defunct for risk assessment at low-dose exposure ranges which includes X-rays and CT scans. In fact, the best evidence that was once used to support LNT ideology, including the Life Span Study data, now indicates thresholds for cancer induction are high; therefore, low-dose X-rays cannot cause harm. Current practices are safe as exposures currently encountered are orders of magnitude below threshold levels shown to be harmful. As long as imaging is medically warranted, it is shown that efforts to reduce exposures that are within background radiation levels and that are also shown to enhance health by upregulating natural adaptive protection systems are definitively wasted resources.