Research on Multi-objective Probabilistic Optimal Power Flow Considering Demand Response

This paper focuses on the problem of multi-objective probabilistic optimal power flow (MPOPF) considering demand response based on locational comprehensive price. First of all, a MPOPF model that jointly considering system operation cost and carbon tax was established. The dependences of load were c...

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Bibliographic Details
Main Authors: CAO Jia, CAO Jianguo, HU Jiaxi, HE Yaping, CHENG Zhenglin
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2019-01-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.02.300
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Summary:This paper focuses on the problem of multi-objective probabilistic optimal power flow (MPOPF) considering demand response based on locational comprehensive price. First of all, a MPOPF model that jointly considering system operation cost and carbon tax 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 was 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, a demand response model based on LCP could be established, and the statistical characteristics of load, operating cost, as well as the distribution of power flow after demand response were calculated. Simulation results show that the 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.
ISSN:2096-5427