A Stackelberg Game Model for Dynamic Pricing and Energy Management of Multiple Virtual Power Plants Using Metamodel-based Optimization Method

被引：0
|
作者：
Dong L. [1 ]
Tu S. [1 ]
Li Y. [2 ]
Pu T. [2 ]
机构：
[1] School of Electric Engineering, North China Electric Power University, Changping District, Beijing
[2] China Electric Power Research Institute, Haidian District, Beijing
来源：
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 03期
关键词：
Kriging metamodel; Stackelberg game; Virtual power plant;
D O I：
10.13335/j.1000-3673.pst.2019.2244
中图分类号：
学科分类号：
摘要：
With different virtual power plants (VPPs) belong to different stakeholders in the future, a competitive game pattern is forming. In order to balance the interests of the distribution system operators (DSO) and VPPs, a one-leader multi-follower game model is constructed, studying the dynamic pricing behavior of DSO and the price response behavior of VPPs. Then a new algorithm for equilibrium solution based on Kriging metamodel is presented. The algorithm fits a Kriging metamodel of transaction price and power to replace the VPP energy management model. The particle swarm optimization algorithm (PSO) is used to generate new excellent sampling points to modify the metamodel in a targeted manner. By avoiding redundant searches, the algorithm identifies the transaction price and scheduling plan of each VPP quickly and accurately. With reduced number of follower-level optimization model evaluations, it also protects the privacy of the VPPs. © 2020, Power System Technology Press. All right reserved.
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页码：973 / 981
页数：8
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