• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2016, Vol. 37 ›› Issue (12): 113-.doi: 10.3969/j.issn.1000-7229.2016.12.015

• 输配电技术 • 上一篇    下一篇

 考虑需求响应的有源配电系统可靠性评估

 

 
胡美玉,胡志坚
  

  1.  武汉大学电气工程学院,武汉市 430072
  • 出版日期:2016-12-01
  • 作者简介:胡美玉(1990),女,硕士研究生,主要从事电力系统可靠性分析、含DG的配电网优化运行的研究工作; 胡志坚(1969),男,通信作者,博士,教授,博士生导师,研究方向为电力系统稳定分析与控制、新能源与分布式发电。
  • 基金资助:
     高等学校博士学科点专项科研基金项目(20110141110032)

 An Active Distribution System Reliability Evaluation Method Considering Demand Response

 HU Meiyu, HU Zhijian   

  1.  School of Electrical Engineering, Wuhan University, Wuhan 430072, China
  • Online:2016-12-01
  • Supported by:
     

摘要:  提出一种考虑需求响应(demand response,DR)的配电系统可靠性评估算法。首先采用改进隶属度函数进行峰谷时段划分,并建立综合分时电价和激励机制的用户响应模型。为提高可靠性评估效率,提出基于阈值和最小距离的聚类方法产生年负荷的多状态模型。计及风力发电机出力的相关性,利用秩相关系数、拉丁超立方抽样和Cholesky分解获取风机输出功率的相关性样本。在此基础上,通过修正孤岛稳定运行概率对传统可靠性指标的影响,可实现考虑负荷响应的有源配电网可靠性分析。应用所述的方法对算例进行可靠性评估,结果表明需求响应策略能改善电网可靠性和提高电能利用率。

关键词:  , 需求响应(DR), 风力发电机, 相关性, 配电网, 可靠性评估

Abstract:  This paper proposes a new reliability evaluation method for distribution system considering demand response. Firstly, we divided the peak-valley periods based on improved membership function and established a customer response model integrating time-of-use price and incentives. To improve the reliability assessment efficiency,  a clustering method based on threshold and minimum distance was proposed to generate annual load multi-state model. We applied the correlation coefficient matrix, Latin hypercube sampling and Cholesky decomposition to get the correlation sample of wind turbine generator output. Finally, the reliability analysis of active distribution network considering demand response can be realized by correcting the traditional reliability index based on island stable operation probability. Applying the proposed method to the reliability evaluation of example, the results show that the demand response strategy can improve the reliability and energy efficiency of grid.

Key words: demand response(DR), wind turbine generator, correlations, distribution network, reliability evaluation

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