引用本文: | 蔡德华,陈柏熹,程乐峰,等.实施需求侧管理对提高发电系统可靠性的影响探究[J].电力系统保护与控制,2015,43(10):51-56.[点击复制] |
CAI Dehua,CHEN Baixi,CHENG Lefeng,et al.Effective study about the implementation of demand side management on improving reliability of generation system[J].Power System Protection and Control,2015,43(10):51-56[点击复制] |
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摘要: |
实施需求侧管理可以提高能源利用率,减少最大负荷需求量,相当于间接增加了系统的发电容量,因此能够提高发电系统的可靠性。简要介绍了发电系统可靠性指标,建立发电系统可靠性分析模型,包括发电容量模型和负荷模型,并分析了非时序蒙特卡洛法在发电系统可靠性评估中的应用。采用模拟法定量,以IEEE可靠性测试系统RTS(Reliability Test System)为例定量分析需求侧管理对发电系统可靠性的影响,分析结果表明实施需求侧管理能够提高能源利用率和发电系统的可靠性,使系统更加安全、经济、可靠地对用户供电。 |
关键词: 需求侧管理 发电系统 模拟法 蒙特卡洛法 可靠性分析 |
DOI:10.7667/j.issn.1674-3415.2015.10.008 |
投稿时间:2014-07-18 |
基金项目:国家重点基础研究发展计划(973计划)(2013 CB228205);国家自然科学基金项目(51177051);中国南方电网科技项目资助 |
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Effective study about the implementation of demand side management on improving reliability of generation system |
CAI Dehua,CHEN Baixi,CHENG Lefeng,WANG Liguo,YU Tao |
(Jiangmen Power Supply Bureau, Jiangmen 529030, China;School of Electric Power, South China
University of Technology, Guangzhou 510640, China) |
Abstract: |
Demand side management can improve energy efficiency and reduce the maximum load demand, which is equivalent to an indirect increase in power generation capacity of the system, thus can improve the reliability of generation system. The reliability indexes of generation system is introduced briefly, the reliability analysis models including generation capacity model and load model are built for generation system, and the non-sequential Monte Carlo method applied in generation system reliability evaluation is analyzed. The IEEE Reliability Testing System (RTS) is set as an example to make a quantitative analysis of the influence of demand side management on generation system reliability evaluation. The analysis results show that implementation of demand side management can improve the energy utilization and reliability of generation system, thus the system can be more secure, economic and reliable to supply electric power for electricity users. |
Key words: demand side management generation system simulation method Monte Carlo method reliability analysis |