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Study on Optimal Configuration of Distributed Power Generation System

Author: ChenCaiHong
Tutor: ZhuYongQiang
School: North China Electric Power University (Beijing)
Course: Power Electronics and Power Drives
Keywords: Distributed power generation distribution network active power loss optimize configuration Genetic Algorithm
CLC: TM73
Type: Master's thesis
Year: 2011
Downloads: 293
Quote: 0
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Abstract


As the high requirements of power supply quality and safe reliability, the existing centralized power grid cannot satisfy the requirements. With its small scale, small investment, clean, environmental and flexible advantages, Distributed Generation (DG) is a hot spot of society and will become the development direction of the electric power industry in the 21st century. Distributed Generation technology matures increasingly and that operating with the existing power grid together will become the main way to improve the economical efficiency and security of the power system.Paper has synoptically introduced varies of DGs, analyzed their independent and net-connected operational characteristics, summarized the existing joint running modes and their typical structural property and operation significances. Through the analysis of the function of distributed power supply system and the existing interface technologies, the interface baced on HVDC-Light is recommended. This paper also discussed the influences aroused when DGs connected to the power grid, Appropriate planning, design of distributed energy supply system, especially net-connected power supply system, can improve the efficiency of distributed energy, operational security and reliability. However, if the types, location and capacity of DGs are not proper, not only can’t bring into positive use, but also may have negative impacts on the distribution power grid, In order to coordinate various power generations, seek the optimal allocation and capacity of DGs, a multi-objective optimal function is defined, The objective function is summation of all targets based on weight coefficient. It reflects the impacts and requirements of DGs truly and fully and can combine more objectives without considering the different dimensions. According to the objective function model, we can use simple genetic algorithm to seek the optimal installed capacity and position. The method is verified through the IEEE30 node distribution system. Finally, the paper has made simulations of wind-light complementary system through the 11 node system and the simulation results show that we can get the best installed position and capacity of distributed power generations through the objective function.

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system scheduling, management, communication
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