2015Journal of Northeast Dianli UniversityRequires access

Research on Distributed Generation'Locating and Sizing in Distribution Network

LI Nin

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Abstract

To satisfy the demand of the rapid economic development in China,Vigorously developing Distributed generation( DG) technique based on existing central power stations and grids will become an inevitable trend for the power system development in the future. But with the number of distributed generations increasing the distribution network which distributed generation integrated to will face more and more uncertainties. The paper studies on the issues about distributed generation based on the achievements worldwide. In the planning of distributed generation,the study is executed on the setting of distributed generation. First of all introduced the concept of distributed generation technologies,and systematic analysis of the impact of distributed power access after distribution network in the planning and operation may bring;The establishment of a distribution network in order to minimize loss of the objective function of the network economy model,application of genetic algorithms for distributed power to optimize the location and capacity,for each location and capacity of distributed power generated during individual genetic program,and consider the impact of distributed power for power flow and line load capacity;Finally,the IEEE33 system shows the proposed method can get a more reasonable position and capacity of distributed power access program.

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What this paper is about

To satisfy the demand of the rapid economic development in China,Vigorously developing Distributed generation( DG) technique based on existing central power stations and grids will become an inevitable trend for the power system development in the future. But with the number of distributed generations increasing the distribution network which distributed generation integrated to will face more and more uncertainties. The paper studies on the issues about distributed generation based on the achievements worldwide. In the planning of distributed generation,the study is executed on the setting of distributed generation. First of all introduced the concept of distributed generation technologies,and systematic analysis of the impact of distributed power access after distribution network in the planning and operation may bring;The establishment of a distribution network in order to minimize loss of the objective function of the network economy model,application of genetic algorithms for distributed power to optimize the location and capacity,for each location and capacity of distributed power generated during individual genetic program,and consider the impact of distributed power for power flow and line load capacity;Finally,the IEEE33 system shows the proposed method can get a more reasonable position and capacity of distributed power access program.

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Available abstract

To satisfy the demand of the rapid economic development in China,Vigorously developing Distributed generation( DG) technique based on existing central power stations and grids will become an inevitable trend for the power system development in the future. But with the number of distributed generations increasing the distribution network which distributed generation integrated to will face more and more uncertainties. The paper studies on the issues about distributed generation based on the achievements worldwide. In the planning of distributed generation,the study is executed on the setting of distributed generation. First of all introduced the concept of distributed generation technologies,and systematic analysis of the impact of distributed power access after distribution network in the planning and operation may bring;The establishment of a distribution network in order to minimize loss of the objective function of the network economy model,application of genetic algorithms for distributed power to optimize the location and capacity,for each location and capacity of distributed power generated during individual genetic program,and consider the impact of distributed power for power flow and line load capacity;Finally,the IEEE33 system shows the proposed method can get a more reasonable position and capacity of distributed power access program.

Key concepts: Distributed generation, Distributed power, Distributed computing, Computer science, Sizing, Power (physics), Distributed algorithm, Genetic algorithm

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