电器与能效管理技术 ›› 2020, Vol. 0 ›› Issue (11): 95-102.doi: 10.16628/j.cnki.2095-8188.2020.11.016

• 能效管理 • 上一篇    下一篇

计及可靠性的风光储混合系统优化配置策略

栾德利, 张宇献   

  1. 沈阳工业大学 电气工程学院, 辽宁 沈阳 110870
  • 收稿日期:2020-10-11 出版日期:2020-11-30 发布日期:2020-12-14
  • 作者简介:栾德利(1994—),男,硕士研究生,研究方向为新能源发电与并网技术。|张宇献(1979—),男,副教授,博士,研究方向为智能控制、智能优化、新能源发电与并网技术。
  • 基金资助:
    国家自然科学基金项目(61102124);辽宁省自然科学基金项目(2015020064);辽宁省教育厅项目(LQGD2017035)

An Optimal Allocation Strategy Considering Reliability for Hybrid Wind-Photovoltaic-Battery Energy System

LUAN Deli, ZHANG Yuxian   

  1. School of Electrical Engineering,Shenyang University of Technology, Shenyang 110870, China
  • Received:2020-10-11 Online:2020-11-30 Published:2020-12-14

摘要:

针对高比例风光储混合系统中风、光原动力的随机性和间歇性影响系统输出功率大幅度波动问题,提出计及可靠性的风光储混合系统优化配置策略。根据系统分配、负荷分配和设备利用率定义无量纲可靠性综合指标,采用机会约束规划克服风电和光伏输出功率不确定性影响,利用改进NSGA-II算法实现风光储混合系统容量优化配置。利用PSCAD仿真软件搭建风光储混合系统模型,将所提出方法与采用NSGA-II算法进行优化配置方法进行对比。实验结果表明,所提方法能够很大程度地改善风、光的不确定性对系统输出功率影响。

关键词: 风光储混合系统, 容量优化配置, 可靠性, 机会约束规划, NSGA-II

Abstract:

Considering large fluctuation of the output power of the system due to the randomness and intermittency of the stroke and photo primary power of the high-scale wind storage hybrid system,an optimal allocation strategy for the wind storage hybrid system was proposed.According to the definition of dimensionless reliability synthesis index of system allocation,load distribution and equipment utilization,the opportunity constraint planning is used to overcome the influence of wind power and PV output power uncertainty,and the improved NSGA-II algorithm is used to realize the optimal configuration of wind-photo-storage hybrid system capacity.Using PSCAD software to build the wind-photo-storage hybrid system model,the proposed method is compared with the NSGA-II algorithm for optimal configuration.The experimental results show that the proposed method can greatly improve the influence of wind-photovoltaic uncertainty on the output power of the system.

Key words: hybrid photovoltaic wind battery power system, capacity optimal allocation, reliability, chance constrained programming, NSGA-II

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