Research on Optimal Dispatching of Cascade Reservoirs Based on Electricity Price Prediction under the Environment of Electric Power Market

With the overall promotion of the new round of power system reform in China, constructions of electricity markets in most provinces are becoming more mature, attracting more power generation groups to participate in the electricity market. In electricity market, current scheduling methods of cascade reservoirs for power generation groups is not adapted to the newly established competitive environment. To address the profit maximization problem for power generation groups in day-ahead market, this paper proposes a medium- and long-term optimal scheduling model for cascade reservoirs, taking complex hydraulic and electric couplings into consideration. The day-ahead market transaction price of cascade reservoirs is forecasted through electricity price prediction method based on support vector machine algorithm. The adaptive hybrid particle swarm optimization algorithm is used to solve the proposed model. The simulated results of the case study based on cascade reservoirs in Lancang River show that the method proposed in this paper is reliable and reasonable. It provides a theoretical basis for power generation groups to optimize the dispatching of cascade reservoirs in day-ahead electricity market.