中国电力 ›› 2012, Vol. 45 ›› Issue (1): 55-58.DOI: 10.11930/j.issn.1004-9649.2012.1.55.3

• 新能源 • 上一篇    下一篇

并网状态下微电网中微电源出力优化算法

王振华, 朱桂萍   

  1. 清华大学 电力系统国家重点实验室,北京 100084
  • 收稿日期:2011-08-22 出版日期:2012-01-18 发布日期:2016-02-29
  • 作者简介:王振华(1986-),男,河南商丘人,硕士研究生,从事微电网的负荷优化分配研究。
  • 基金资助:
    国家自然科学基金资助项目(50807030)

Optimization of micro-source output of a grid-connected micro-grid

WANG Zhen-hua, ZHU Gui-ping   

  1. State Key Lab. of Power Systems, Tsinghua University, Beijing 100084, China
  • Received:2011-08-22 Online:2012-01-18 Published:2016-02-29

摘要: 研究并网状态下微电网中的微电源出力优化问题,在满足系统运行约束的条件下根据不同的优化目标优化微电网中各微电源的出力,使系统的运行成本最低、负荷用电成本最低或环境效益最高。建立含有微型燃气轮机、燃料电池、太阳能光伏电池、风力发电和飞轮储能的微电网系统在与上级配电网系统并网状态下各微电源出力优化的数学模型,介绍基于粒子群优化算法的求解方法,通过基准测试系统进行算例分析,验证所提出方法的有效性与可行性。

关键词: 微电网, 并网, 出力优化, 粒子群算法(PSO)

Abstract: Conforming to the system operation constraints, the optimization of micro-source outputs of a grid-connected micro-grid was conducted for different objectives, such as total power generation cost and consumption cost minimization, or the environmental benefit maximization. The mathematical model was established for a benchmark micro-grid system suggested by CIGRE which was consisted of a micro-turbine, fuel cells, two photovoltaic systems and a flywheel energy storage system. The numerical solution based on particle swarm optimization (PSO) was performed. Optimization results demonstrate the validity and feasibility of the proposed method.

Key words: micro-grid, grid connection, output optimization, particle swarm optimization (PSO)

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