Abstract：With the orderly progress of energy market reform, an open and fully competitive integrated energy market is expected to be built in the future. As an important market entity, how to optimize the trading strategy in the integrated energy market is still to be carried out. Based on this, this paper constructs a market trading strategy and collaborative optimization method for park-level integrated energy supplier considering the wholesale and retail energy markets. First, this paper analyzes the operating mechanism of wholesale and retail market. Based on the discrete choice model, the effect of retail price on market share is quantified and the forward returns function is constructed. Second, considering the integrated demand response of users, a distributed collaborative optimization model based on the Stackelberg game is constructed. Then, the existence of Stackelberg equilibrium solution is proved and the distributed model is solved by Cuckoo algorithm embedded with quadratic programming. Finally, the simulation verifies the feasibility and superiority of the trading strategy and optimization model proposed in this paper, and provides guidance for integrated energy suppliers to make market trading decisions.
陈岑, 武传涛, 林湘宁, 马云聪, 李正天. 计及上下游市场的园区综合能源商购售能策略[J]. 电工技术学报, 2022, 37(1): 220-231.
Chen Cen, Wu Chuantao, Lin Xiangning, Ma Yuncong, Li Zhengtian. Purchase and Sale Strategies of Park Integrated Energy Suppliers in Wholesale and Retail Markets. Transactions of China Electrotechnical Society, 2022, 37(1): 220-231.
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2022, Vol. 37 
