Joint Source-Load Optimal Scheduling Considering Demand Response and Flexible Supply-Demand Balance

Chen Junsheng, Liu Lijun, Xu Hanwei, Huang Weidong, Lin Yufang
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Abstract

From the source-load perspective, considering the safety operation constraints of grid dispatching, a dispatching model that takes into account flexible load demand response and power system flexibility is established. Based on the price-based demand response and highly flexible load model, the flexible load demand response model is built to respond to the level of wind-photovoltaic output, guide load-side users to change their power consumption behavior, regulate the demand for power system flexibility and improve the consumption rate of new energy. Based on the supply-demand balance mechanism of power system flexibility and the uncertainty of wind-photovoltaic output and load, we construct power system flexibility indexes in different time scales, combine with the comprehensive economic cost index of grid operation, consider source-load coordination, design joint optimal dispatching strategy, and generate typical scenarios based on improved deep embedding clustering algorithm to establish optimal dispatching model, so as to reduce the influence of uncertainty of wind-photovoltaic output and load demand on the optimization results. The uncertainty of wind-photovoltaic output and load demand can reduce the impact on the optimization results. Finally, the feasibility and rationality of the proposed model are verified by an example analysis of a regional power grid.
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考虑需求响应和灵活供需平衡的联合源负荷最优调度
从源负荷角度出发,考虑电网调度的安全运行约束,建立了考虑柔性负荷需求响应和电力系统灵活性的调度模型。基于基于价格的需求响应和高柔性负荷模型,构建柔性负荷需求响应模型,响应风电光伏出力水平,引导负荷侧用户改变用电行为,调节电力系统灵活性需求,提高新能源消费率。基于电力系统柔性的供需平衡机制和风电出力、负荷的不确定性,构建不同时间尺度下的电力系统柔性指标,结合电网运行综合经济成本指标,考虑源负荷协调,设计联合最优调度策略,并基于改进的深度嵌入聚类算法生成典型场景,建立最优调度模型。以减小风电出力和负荷需求的不确定性对优化结果的影响。风电出力和负荷需求的不确定性可以减小对优化结果的影响。最后,通过对某区域电网的算例分析,验证了所提模型的可行性和合理性。
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