[1]曹 佳,曹建国,胡家喜,等. 考虑需求响应的多目标概率最优潮流问题研究[J].控制与信息技术(原大功率变流技术),2019,(02):1.[doi:10.13889/j.issn.2096-5427.2019.02.300]
 CAO Jia,CAO Jianguo,HU Jiaxi,et al. Research on Multi-objective Probabilistic Optimal Power Flow Considering Demand Response[J].High Power Converter Technology,2019,(02):1.[doi:10.13889/j.issn.2096-5427.2019.02.300]
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 考虑需求响应的多目标概率最优潮流问题研究()
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《控制与信息技术》(原《大功率变流技术》)[ISSN:2095-3631/CN:43-1486/U]

卷:
期数:
2019年02期
页码:
1
栏目:
出版日期:
2019-04-05

文章信息/Info

Title:
 Research on Multi-objective Probabilistic Optimal Power Flow Considering Demand Response
作者:
 曹 佳1曹建国2胡家喜1何亚屏1成正林1
 (1. 株洲中车时代电气股份有限公司,湖南 株洲 412001;2. 中车株洲电机有限公司,湖南 株洲 412001)
Author(s):
 CAO Jia1 CAO Jianguo2 HU Jiaxi1 HE Yaping1 CHENG Zhenglin1
 ( 1. Zhuzhou CRRC Times Electric Co., Ltd., Zhuzhou, Hunan 412001,China;
2. CRRC Zhuzhou Electric Co., Ltd., Zhuzhou, Hunan, 412001,China )
关键词:
 节点综合电价需求响应概率最优潮流乔列斯基因子分解Pair-Copula 方法拟蒙特卡罗模拟
Keywords:
 locational comprehensive price demand response probabilistic optimal power flow(POPF) Cholesky factorization method Pair-Copula method quasi-Monte Carlo simulation method
分类号:
TM77
DOI:
10.13889/j.issn.2096-5427.2019.02.300
文献标志码:
A
摘要:
 文章研究了用户基于节点综合电价信息参与需求响应的多目标概率最优潮流问题。首先,建立同时考虑系统运行费用和碳税费用的多目标概率最优潮流模型,并采用乔列斯基因子分解方法考虑负荷的相关性,采用Pair-Copula 方法考虑风电场风速的高维相关性,采用拟蒙特卡罗模拟方法进行求解;然后,提出以潮流方程对应的拉格朗日乘子作为节点综合电价,建立需求响应模型并计算得到响应后的负荷;最后,统计所有需求响应后的负荷、运行费用、潮流分布等变量的概率特征,分析不同需求响应指标对概率最优潮流结果的影响。结果表明:用户参与需求响应在降低节点综合电价、改变负荷大小的同时,能够降低线路发生输电阻塞的可能性,对电网安全、稳定及经济运行起到一定的促进作用。
Abstract:
 This paper dealt with the problem of multi-objective probabilistic optimal power flow (MPOPF) considering demand response based on locational comprehensive price. First of all, the system operation cost and carbon tax as target of the MPOPF model was established. The dependences of load were considered by Cholesky factorization method, and high dimensional dependences of wind speed were considered by Pair-Copula method, respectively. Quasi-Monte Carlo simulation method is applied to solve MPOPF. Then, the locational comprehensive price (LCP) could be obtained by interior point method since it was equivalent to the Lagrange multipliers of the corresponding power flow equations. Finally, the demand response model based on LCP could be established, and the statistical characteristics of the load, operating cost, as well as distribution of power flow after demand response were calculated. Simulation results show that demand response based on LCP has positive effects on reducing the LCP as well as changing the size of load. At the same time, it can also reduce the possibility of transmission congestion, and plays an important role in promoting the security, stability and economic operation of power grid.

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备注/Memo

备注/Memo:
 收稿日期:2018-12-20
作者简介:曹佳(1986—),男,博士,工程师,主要研究方向为变流器控制、新能源并网及智能电网等。
更新日期/Last Update: 2019-03-29