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IEEE PES/IAS powerAfrica Conference

作者： Ntombela, Mlungisi Musasa, Kabeya Leoaneka, Moketjema Clarence Durban Univ Technol Dept Elect Power Engn Fac Engn & Built Environm Durban South Africa

ISBN: (数字)9781665466394

ISBN: (纸本)9781665466394

In order to reduce power losses in a power system and to improve voltage profile, researchers have examined and studied optimizing Photovoltaic power distributed generation (DG) which is location and size in a power system, but the results have some drawbacks. Several approaches developed to make this important issue more efficient, including coming up with new algorithms and improving those already in existence. Many of the proposed algorithms are only concerned with the real power loss, however. Voltage stability control is a critical factor in modern power systems, which makes incorporating reactive power losses in optimizing DG allocation for voltage profile improvement necessary. The goal of this work is to solve this issue by combining Genetic Algorithm and Improved Particle Swarm Optimization to optimize DG size and location by considering both real and reactive power losses. power loss sensitivity factors and real and reactive power flow factors used in identifying which buses will receive DGs. A MATLAB- based program was developed and tested on a test system using distributed generators, considering the proposed method. As compared to Genetic Algorithm, Particle Swarm Optimization and Improved Particle Swarm Optimization methods, the Hybrid Genetic Algorithm Improved Particle Swarm Optimization method is better for reducing both real and reactive power losses.

关键词： power loss minimization power system reconfiguration Voltage profile improvement optimization algorithms

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Optimal Grid reconfiguration Algorithm for Improving system Resilience under Extreme Weather Events 4

Optimal Grid Reconfiguration Algorithm for Improving System ...

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4th IEEE International Conference on Green Energy and Applications (ICGEA)

作者： Widiputra, Victor Jung, Jaesung Ajou Univ Dept Energy Syst Res Suwon South Korea

ISBN: (数字)9781728160214

ISBN: (纸本)9781728160214

Due to global warming, the number of extreme weather events has increased in the last ten years. Consequently, the number of power system blackouts has also increased in this period. The reliability index is incapable of analyzing the power system behavior during these events because it does not account for extreme weather events for its calculation. Therefore, the resilience index is proposed for measuring the system functionality during extreme weather events. To increase the resilience value of the system, its functionality during such events must be increased. One way to achieve this is through the reconfiguration of the power system, to ensure that the parts of the power system which do not experience failure remain operational even during the extreme weather events. This paper proposes an algorithm to determine the optimal reconfiguration of the power system to increase the grid resilience. First, it applies the actual condition of the system during the extreme weather events. Then, the algorithm finds the islanded buses in the power system using bus injection to bus current (BIBC) matrix. Finally, the algorithm utilizes a genetic algorithm to find the optimal reconfiguration for the system. The results show that the reconfiguration strategy can be utilized to increase the system resilience under similar extreme weather events.

关键词： bus injection to bus current extreme weather grid resilience power system reconfiguration

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Algoritmo evolutivo para reconfiguração de redes e posicionamento eficiente de geradores distribuídos em sistemas de distribuição de energia elétrica

Algoritmo evolutivo para reconfiguração de redes e posicio...

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作者： Soares, Fellipe Souto Universidade de Lisboa

Much of the electricity is produced far from consumer centers, requiring complex transmission and distribution systems containing long feeders to supply the demand. Therefore, losses inherent to the electrical components are associated with this transportation process. Thus, modifying the network configuration and installing distributed generators near the load centers are alternatives to reduce losses in these distribution systems. In this work, an algorithm based on the Differential Evolution optimization method is proposed to reduce the active power losses in radial power system feeders by network reconfiguration combined to the placement of Distributed Generators (DG). Both power systems reconfiguration and the positioning of DG are mixed integer nonlinear problems with the size of their sets solutions susceptible to a combinatorial explosion depending on the dimensions of the problem variables. For this reason, the metaheuristic method was adopted. In addition, an efficient data structure called the Node-Depth Encoding (NDE) is used to represent the electrical network. The function whose objective is the minimization represent the total losses in the lines, value calculated by means of the power flow by backward/forward sweep method by sum of power. The proposed algorithm was constructed in a modular way, in other words, one module is responsible for the generating units installation, and another is responsible for the generating units installation. Thus, it is possible to carry out the study and analysis of the loss reduction percentage by performing the operations separately or together. Under these circumstances, five algorithms were produced, two with the execution of the isolated operations, two with sequential operations in different orders, and the proposed iterative algorithm. All of them implemented in Matlab. Simulations were performed with two different networks widely used in the literature, containing 33 and 69 bus respectively, and the results obt

关键词： Engenharia elétrica Energia elétrica - Distribuição Geração distribuída de energia elétrica Correntes elétricas - Perdas Minimization of power losses power system reconfiguration Differential evolution Exhaustive search Dissertação

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Defining and Enabling Resiliency of Electric Distribution systems With Multiple Microgrids

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IEEE TRANSACTIONS ON SMART GRID 2016年第6期7卷 2859-2868页

作者： Chanda, Sayonsom Srivastava, Anurag K. Idaho Natl Lab Idaho Falls ID 83415 USA Washington State Univ Sch Elect Engn & Comp Sci Pullman WA 99163 USA

This paper presents a method for quantifying and enabling the resiliency of a power distribution system using analytical hierarchical process and percolation theory. Using this metric, quantitative analysis can be done to analyze the impact of possible control decisions to pro-actively enable the resilient operation of distribution system with multiple microgrids and other resources. Developed resiliency metric can also be used in short term distribution system planning. The benefits of being able to quantify resiliency can help distribution system planning engineers and operators to justify control actions, compare different reconfiguration algorithms, and develop proactive control actions to avert power system outage due to impending catastrophic weather situations or other adverse events. Validation of the proposed method is done using modified CERTS microgrids and a modified industrial distribution system. Simulation results show topological and composite metric considering power system characteristics to quantify the resiliency of a distribution system with the proposed methodology, and improvements in resiliency using two-stage reconfiguration algorithm and multiple microgrids.

关键词： Microgrids power distribution system power system reconfiguration resilience

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A Multi-Agent system for Restoration of an Electric power Distribution Network with Local Generation

A Multi-Agent System for Restoration of an Electric Power Di...

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General Meeting of the IEEE-power-and-Energy-Society

作者： Khamphanchai, Warodom Pipattanasomporn, Manisa Rahman, Saifur Virginia Tech Adv Res Inst Arlington VA 22203 USA

ISBN: (纸本)9781467327299

This paper proposes a multi-agent system for restoration of an electric power distribution network that can perform an efficient and fast switching operation to isolate faults, restore power to the de-energized area, and secure critical loads. Local or distributed generation (DG) is present in the network but has a limited capability to serve the entire microgrid load. In this paper, the multi-agent system (MAS) is designed, developed and implemented in JAVA Agent Development Framework (JADE). Simulation results show that the proposed MAS is able to achieve a real-time restoration of the microgrid and secure critical loads upon the occurrence of an upstream fault.

关键词： power system reconfiguration multi-agent system JADE microgrid and distributed generation

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A Multi-Agent system for Restoration of an Electric power Distribution Network with Local Generation

A Multi-Agent System for Restoration of an Electric Power Di...

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IEEE power and Energy Society General Meeting

作者： Warodom Khamphanchai Manisa Pipattanasomporn Saifur Rahman Virginia Tech - Advanced Research Institute Arlington VA 22203 USA

ISBN: (纸本)9781467327275

关键词： power system reconfiguration multi-agent system JADE microgrid and distributed generation. power grids Multi-agent systems restoration Electricity Distribution systems MICRO-GRID critical load distributed power generation faults magic angle spinning

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Controlled Partitioning of a power Network Considering Real and Reactive power Balance

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IEEE TRANSACTIONS ON SMART GRID 2010年第3期1卷 261-269页

作者： Li, Juan Liu, Chen-Ching Schneider, Kevin P. Iowa State Univ Dept Elect & Comp Engn Ames IA 50010 USA Univ Coll Dublin Sch Elect Elect & Mech Engn Dublin Ireland Pacific NW Natl Lab Richland WA 99352 USA

In response to disturbances, a self-healing system reconfiguration that splits a power network into self-sufficient islands can stop the propagation of disturbances and avoid cascading events. This paper proposes an area partitioning algorithm that minimizes both real and reactive power imbalance between generation and load within islands. The proposed algorithm is a smart grid technology that applies a highly efficient multilevel multi-objective graph partitioning technique. Thus, it is applicable to very large power grids. The proposed algorithm has been simulated on a 200- and a 22,000-bus test systems. The results indicate that the proposed algorithm improves the voltage profile of an island after the system reconfiguration compared with the algorithm that only considers real power balance. In doing so, the algorithm maintains the computational efficiency.

关键词： Cascading events emergency control multilevel graph partitioning multi-objective graph partitioning power system reconfiguration wide-area protection and control

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Application of multi-agents to power distribution systems

Application of multi-agents to power distribution systems

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作者： Nareshkumar, Koushaly West Virginia University

学位级别：M.S.

The electric power system has become a very complicated network at present because of re-structuring and the penetration of distributed energy resources. In addition, due to increasing demand for power, issues such as transmission congestion have made the power system stressed. A single fault can lead to massive cascading effects, affecting the power supply and power quality. An overall solution for these issues can be obtained by a new artificial intelligent mechanism called the multi-agent system. A multi-agent system is a collection of agents, which senses the environmental changes and acts diligently on the environment in order to achieve its objectives. Due to the increasing speed and decreasing cost in communication and computation of complex matrices, multi-agent system promise to be a viable solution for today’s intrinsic network problems. A multi-agent system model for fault detection and reconfiguration is presented in this thesis. These models are developed based on graph theory and mathematical programming. A mathematical model is developed to specify the objective function and the constraints. The multi-agent models are simulated in Java Agent Development Framework and Matlab® and are applied to the power system model designed in the commercial software, Distributed Engineering Workstation© . The circuit that is used to model the power distribution system is the Circuit of the Future, developed by Southern California Edison. The multi-agent system model can precisely detect the fault location and according to the type of fault, it reconfigures the system to supply as much load as possible by satisfying the power balance and line capacity constraints. The model is also capable of handling the assignment of load priorities. All possible fault cases were tested and a few critical test scenarios are presented in this thesis. The results obtained were promising and were as expected.

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Reliability evaluation of complex radial distribution systems considering restoration sequence and network constraints

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IEEE TRANSACTIONS ON power DELIVERY 2004年第2期19卷 753-758页

作者： Li, WX Wang, P Li, ZM Liu, YC Harbin Inst Technol Harbin 150001 Peoples R China Nanyang Technol Univ Singapore 639798 Singapore

This paper presents a technique for the reliability assessment of complex radial distribution systems considering restoration sequence and network constraints (NCs). In this technique, a distribution network is represented using a tree data structure to dynamically respond to the change of network topology induced by system reconfiguration. A parent-visit technique is proposed to determine the affected area after a failure occurs. A breadth-first-search approach is used to divide the affected load points into six classes based on restoration times. An improved branch-oriented load flow method is embedded in the reliability evaluation technique to examine NCs after network reconfiguration. An approach to control the accuracy and the computing time of simulation is also presented. A test distribution system is used to illustrate the technique.

关键词： distribution system load flow analysis network constraints parent-search power system reconfiguration power system restoration reliability evaluation

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