Optimization Research of Distribution Network Considering Distributed Generation

doi:10.11930/j.issn.1004-9649.2017.03.147.07

Abstract

Abstract: As China’s environmental problems and energy savings become more prominent and more severe, the high pollution, high energy consumption problem of traditional thermal power is more and more obvious. Meanwhile, non-polluting green power generation process and flexible installation make distributed generation (DG) a good solution to those traditional problems. Proper DG access can also bring considerable economic value to the grid. A multi-objective optimization model including investors, state grid and user is established. With NSGA-2 algorithm, several experiments are conducted on IEEE 33 network. The experiments are focused on different configurations of DG location, capacity and types to confirm the accuracy of proposed algorithm. It provides optimized configuration scheme under different environments for decision makers.

Key words: DG, distribution network, NSGA-2, multi-objective optimization, IEEE33, optimized configuration

CLC Number:

TM715

ZHANG Shixiang, SHAO Huizhuang. Optimization Research of Distribution Network Considering Distributed Generation[J]. Electric Power, 2017, 50(3): 147-153.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.2017.03.147.07

https://www.electricpower.com.cn/EN/Y2017/V50/I3/147

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