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可调度和不可调度分布式电源机组选址优化

引用本文:管笠,何平,白锐,顾杨青.

可调度和不可调度分布式电源机组选址优化

[J].机械与电子,2021,39(3):16-19.
作者姓名:管笠  何平  白锐  顾杨青
作者单位:

国网江苏省电力有限公司苏州供电分公司,江苏 苏州 215000

摘    要:针对可调度和不可调度分布式电源机组进行选址定容优化。首先分析了可调度机组和不可调度机组的特点。然后建立了多目标的分布式电源机组选址定容优化模型,包括网损、经济性和稳定性等指标,并计及相关约束。利用生物地理学算法和模糊决策对模型进行求解。最后在IEEE69节点上仿真分析,说明了模型的有效性。

关 键 词:分布式电源  生物地理学算法  多目标优化  选址定容优化

Location and Size Optimization of Dispatchable and Non-dispatchable Distributed Generation Units
GUAN Li,HE Ping,BAI Rui,GU Yangqing.Location and Size Optimization of Dispatchable and Non-dispatchable Distributed Generation Units[J].Machinery & Electronics,2021,39(3):16-19.
Authors:GUAN Li  HE Ping  BAI Rui  GU Yangqing
Affiliation:Suzhou Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd., Suzhou 215000,China
Abstract:This paper performs location and size optimization for dispatchable and non-dispatchable distributed power units. Firstly, the characteristics of the dispatchable unit and the non-dispatchable unit are analyzed. Then, a multi-objective distributed power unit sizing and positioning optimization model is established, including network loss, economy and stability, and relevant constraints are taken into account. The model is solved using biogeographic algorithms and fuzzy decision making. Finally, simulation analysis is performed on the IEEE69 calculator to illustrate the effectiveness of the model.
Keywords:distributed generation  biogeographic algorithm  multi-objective optimization  location and size optimization
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