电动汽车接入的综合能源系统鲁棒优化调度
Robust optimal scheduling of integrated energy system with the access of electric vehicles
杨志淳 1谷博 2操燕春 3王丹2
作者信息
- 1. 国网湖北省电力有限公司电力科学研究院,湖北 武汉 430074
- 2. 华中科技大学电气与电子工程学院,湖北 武汉 430074
- 3. 国网湖北省电力有限公司黄冈供电公司,湖北 黄冈 438000
- 折叠
摘要
提出一种计及电动汽车接入的多不确定性下园区综合能源系统多阶段鲁棒优化调度模型.首先考虑了源荷出力不确定性及系统运行场景概率分布不确定性因素,将模型构建为两阶段四层鲁棒优化模型,其中系统运行场景概率分布优化阶段采用分布鲁棒优化方法.然后,将优化模型构建为Stackelberg博弈问题,通过Karush-Kuhn-Tucker条件将博弈模型转化为单层优化问题进行求解.最后,采用一种迭代算法将构建的多阶段鲁棒优化模型迭代求解.算例结果表明:提出的多阶段鲁棒优化调度模型提升了系统运行的经济性与鲁棒性.
Abstract
A multi-stage robust optimization scheduling model for community integrated energy systems with the access of electric vehicles was proposed.Firstly,considering the uncertainties of generations and demands,and the scenario probability distribution of the system operation,the model was constructed as a three-stage four-level robust optimization model.The distributionally robust optimization method was adopted in the probability distribution optimization stage.Secondly,the optimal models were constructed as Stackelberg game problems,and the game models were transformed into a single-layer optimization problem by utilizing the Karush-Kuhn-Tucker conditions.At last,an iterative algorithm was adopted to iteratively solve the multi-stage RO optimization model.The numerical results prove that the proposed RO model improves the economy and robustness of system.
关键词
园区综合能源系统/电动汽车/多重不确定性/鲁棒优化/Stackelberg博弈Key words
community integrated energy system/electric vehicle/multiple uncertainties/robust optimization/Stackelberg game引用本文复制引用
出版年
2025
国家科技期刊平台
NSTL
万方数据