基于广义储能特性的电站三阶段中长期发电优化策略

Three Stage Medium and Long-term Power Generation Optimization Strategy of Power Station Based on Generalized Energy Storage Characteristics

随着新能源装机规模不断增大,电力系统季节性负荷波动情况日益加剧。如何充分调动电源侧机组、发挥发电机组的调节能力,促进新能源大范围消纳成为现阶段亟待解决的问题。本文以水电站群为例,通过分析水电机组的广义储能特性,明确水电站可通过调度其水库内跨月份的水利资源,实现对系统负荷变动的跟踪响应。在此基础上,提出了一种基于广义储能特性的水电站群三阶段发电优化模型,针对水电站进行月度电量分配的初阶优化、进阶优化以及月内逐日电量优化,兼顾考虑水电站经济效益与平抑负荷波动的效益。以澜沧江中下游梯级水电群为例进行中长期发电优化,验证了所提模型和方法的有效性。

With the increasing scale of new energy installations,the seasonal load fluctuations of the power system are increasing.How to fully mobilize the power-side units,give full play to the adjustment capability of the generator units,and promote the large-scale consumption of new energy has become an urgent problem to be solved at this stage.In this paper,by analyzing the generalized energy storage characteristics of hydropower units,hydropower stations can track and respond to system load changes by dispatching water resources in their reservoirs across months.On this basis,a three-stage power generation optimization model for hydropower station clusters based on generalized energy storage characteristics is proposed.For hydropower stations,the initial optimization,advanced optimization and daily power optimization of monthly power distribution are carried out,considering the economic benefits of hydropower stations and the benefit of smoothing load fluctuations.Taking the cascade hydropower group in the middle and lower reaches of the Lancang River as an example,the mid-and long-term power generation optimization is carried out,and the effectiveness of the proposed model and method is verified.