基于需求侧调节潜力模型的多类型电源区间协同规划

Collaborative planning between multiple types of power supply zones based on demand-side regulation potential modeling

探讨了虚拟电厂在新型电力系统中增强调峰能力的作用,特别是针对负荷类资源如电动汽车、空调和工业负荷的聚合与优化,研究建立了这些资源的可调潜力模型,并分析了其在电源规划中的经济和技术约束。在此基础上,构建了一个包含虚拟电厂的电源规划模型,采用区间优化理论处理新能源预测和虚拟电厂响应的不确定性,通过区间序关系和可能度实现模型的确定性转化。最后通过某改造后电力系统为期5年的电源规划计算算例分析,验证了所提方法的有效性,结果表明该方法能显著提升系统调峰能力,有效处理预测误差,可为电力系统的经济性和可靠性提供解决方案。

This paper focuses on aggregating decentralized demand-side resources through virtual power plants(VPPs)to enhance the peak load management capability in the construction of new electric power systems.The research centers on the core issue of“load-based”virtual power plants participating in power source planning.It investigates the modeling methods for the adjustable potential of virtual power plants,including electric vehicles,air conditioning loads,and industrial loads.Moreover,the paper delineates the economic and operational technical constraints of virtual power plants in power source planning and constructs a power source planning model that accounts for VPPs.Considering the prediction errors of renewable energy and the characterization errors of the VPPs’response potential,the paper utilizes interval optimization theory to reformulate the model into an interval planning model and completes the deterministic transformation of the model through interval order relations and interval possibility.The rationality of the proposed power source planning method is verified through a case study.The results show that the proposed method can effectively aggregate VPP resources,significantly enhancing the system’s peak load management capability.The constructed interval planning model can effectively handle forecast errors,ensuring the reliability of planning.This method provides an economically feasible solution for the transformation of the source-load structure in new electric power systems.It is evident that the aggregation and optimized dispatch of VPPs can significantly enhance the flexibility and reliability of the power system.