基于相关性分析的风光储互补需求响应策略

针对风光储互补发电系统,提出基于风光相关性分析与需求响应建模结合求解优化模型的方法。首先选取负荷追踪系数对互补系统进行风光相关性分析,然后基于用户收益最大建立需求响应基本模型,以减小负荷峰谷差、需求响应前后平均电价变化最小、负荷追踪系数最小为目标建立需求响应优化模型。最后利用算例对风光储互补系统接入电网更新的电价策略对负荷波动曲线、负荷追踪系数曲线的影响进行分析。结果表明,考虑相关性分析的需求响应策略可以实现对发电侧新能源的充分消纳。

Wind-solar-complementary Energy System Demand Response Model Based on Correlation Analysis

In view of the impact of wind power, photovoltaic and other new energy access to the grid, the energy storage, wind power and photovoltaic subsystems are combined into a wind and light storage combined power generation system. The combination of wind and light correlation analysis and demand response modeling is proposed to solve the optimization model. Methods. Firstly, the load-tracking coefficient is selected to analyze the wind-solar correlation of the complementary system, and then the basic model of demand response is established based on the maximum user benefit. Secondly, the peak-to-valley difference of the load is reduced, the average price change before and after the demand response is the smallest, and the minimum load-tracking coefficient is the target establishment requirement. Responsive optimization model. Finally, an example is used to analyze the influence of the electricity price strategy of the wind and solar storage complementary system on the load fluctuation curve and the load tracking coefficient curve. The results show that the demand response strategy considering the correlation analysis can achieve full consumption of new energy sources on the power generation side.