Virtual Power Plant-Based Pricing Control for Wind/Thermal Cooperated Generation in China

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 46; no. 5; pp. 706 - 712
• Main Authors: Xu, Zhi-Yu, Qu, Hai-Ni, Shao, Wei-Hui, Xu, Wei-Sheng
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cybernetics; Economics; Electric power generation; Electric power plants; Electricity supply industry; Electricity supply industry deregulation; Indexes; Optimization; power generation economics; Power grids; power system modeling; predictive control; Pricing; Sensitivity analysis; virtual enterprises; wind energy; Wind power generation; power generation economics; Electricity supply industry deregulation; virtual enterprises; wind energy; predictive control; power system modeling
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMC.2015.2464777

This correspondence paper proposes a virtual power plant (VPP)-based pricing control to implement the market-oriented wind/thermal cooperated generation (WTCG) in China. The price is proposed by the grid corporation to VPPs as an incentive to coordinate the outputs of wind farms and coal-fired plants. Taking the real-time price as the decision variable, this market-oriented WTCG is formulated as a constrained optimization problem and is solved by the information fusion algorithm. A case study evaluates the technical, economic, and environmental results under three demand distribution programs. These programs are prioritized according to various viewpoints. Sensitivity analysis reveals the effects of the parameters' variations.