Multi-objective based demand response strategy optimization considering differential demand on reliability of power system

被引:4
|
作者
Yang, Hejun [1 ]
Zhang, Xinyu [1 ]
Chu, Yuxiang [1 ]
Ma, Yinghao [1 ]
Zhang, Dabo [1 ]
Guerrero, Josep M. [2 ]
机构
[1] Hefei Univ Technol, Anhui Prov Key Lab Renewable Energy Utilizat & En, Hefei 230009, Peoples R China
[2] Aalborg Univ, Dept Energy Technol, DK-9220 Aalborg, Denmark
关键词
Demand response; Period partitioning; TOU optimization; Reliability demand; MO-SAPSO; ELECTRICITY DEMAND; SIDE MANAGEMENT; MARKET;
D O I
10.1016/j.ijepes.2023.109202
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The reliability of power system will vary with different demand response strategies, and it is significant to make a decision on demand response for satisfying differential reliability demand of power system. First, a peak-valley period partition model with an objective of maximizing silhouette coefficient was established based on the fuzzy clustering and step-wise iteration technology. Second, this paper proposed a multi-objective time of use electricity price optimization model considering the interests of both supply and demand sides, as well as reliability demand, and a multi-objective simulated annealing particle swarm optimization algorithm was developed to obtain solution. Third, the Pareto front curve of the dual-objective function was fitted by using a third-order Hermite interpolation algorithm, and the time of use prices corresponding to the reliability demand was obtained by using the back propagation neural network algorithm. Finally, the proposed model and algorithm were verified by the RBTS system, and the results indicate good rationality and effectiveness of the proposed method.
引用
收藏
页数:11
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