考虑需求响应的源网荷协调分布鲁棒长期扩展规划

Distributionally Robust Coordinated Expansion Planning for Generation and Transmission Systems With Demand Response

受限于化石能源储量有限性以及环境污染性的特点,在电力系统扩展规划方面需要着重考虑可再生能源的影响。在此背景下,对电力系统进行扩展规划时,考虑发电机组、输电线路与负荷需求响应的协调规划,并探讨采用分布鲁棒方法研究负荷和风电出力的不确定性对系统规划策略的影响。首先,提出一种以最小化投建成本、运行成本以及失负荷弃风惩罚为目标的考虑负荷需求响应的源网荷协调分布鲁棒长期规划模型;然后,针对第二阶段最坏场景,引入数据驱动型模糊集描述不确定性,采用主成分分析法捕获历史数据信息降低模型的保守性,通过对偶原理和仿射决策规则将模型重构为混合整数线性规划模型以便求解;最后,通过算例验证所提扩展规划方法的有效性与通用性。

Limited by the characteristics of finite reserves and environmental pollution of fossil energy,it is necessary to focus on the impact of renewable energy in power system expansion planning.When planning the expansion of the power system,this paper considered the coordinated planning of generating units,transmission lines and demand response and discussed the impact of distributionally robust optimization to deal with load and wind uncertainties on system planning strategies.Firstly,a long-term distributionally robust optimization(DRO) planning model of generation transmission load coordination with demand response was proposed with the objective of minimizing investment and construction costs,operating costs,and penalty for loss of load and wind curtailment.Then,for the worst scenario in the second stage,a data driven ambiguity set was introduced to describe the uncertainty.The principal component analysis method was used to capture historical data information to reduce the conservativeness of the model,and reconstruct it into a mixed integer linear programming(MILP) model for solution through duality theory and affine decision rules.Finally,numerical case studied illustrate the effectiveness and scalability of the proposed expansion planning method.