考虑备用情况下的梯级水电站竞价策略研究

A Study on Bidding Strategy of Cascaded Hydropower Stations Considering Reserve Service

采用科学合理的竞价策略是赢得市场先机的重要先决条件。该文在考虑备用调用不确定性及梯级水电水力约束的基础上,以梯级水电站整体期望收入最大化为目标构建了梯级水电竞价策略模型,引入粒子群算法作为模型求解算法,并以四川省大渡河流域上的瀑布沟、深溪沟梯级水电站为算例,采用该文提出的模型算法进行验证,结果表明:承担备用任务的梯级水电在竞价过程中,受梯级水力约束的影响,梯级电站申报量最值与市场价格峰值出现时刻并不同步,但整体上市场价格高时较市场价格低时申报量更高;运用该文构建的模型能得到合理的优化调度竞价结果,能充分发挥上游电站的调节能力和下游电站的发电潜力,最大限度地挖掘梯级电站联合运行所产生的效益,在考虑备用调用不确定性下梯级期望总收入为2469万元。

A scientific and reasonable bidding strategy is an important prerequisite for winning market opportunities.Based on the uncertainty of reserve dispatch and hydraulic constraints of the cascade hydropower,this paper constructs a cascade hydropower bidding strategy model with the goal of maximizing the overall expected income of cascade hydropower stations.Particle swarm optimization algorithm is introduced as the model solving method,taking the Pubugou and Shenxigou cascade hydropower stations in Daduhe Basin of Sichuan Province as an example,the model algorithm proposed in this paper is used for verification.The results show that in the bidding process of cascade hydropower stations undertaking reserve dispatch,due to effects of cascade hydraulic constraints,the maximum declaration amount of cascade hydropower stations is not synchronized with the peak market price,but the declaration amount is higher when the market price is high on the whole.The model constructed in this paper can be used to obtain reasonable optimal scheduling bidding results,and can fully utilize the regulating capacity of upstream power stations and the power generation potential of downstream power stations,and maximize the benefits generated by the combined operation of cascade hydropower stations.With consideration of the uncertainty of reserve dispatch,the expected total income is 24.69 million RMB.