摘要
为解决虚拟电厂内部参与者的功率再分配问题,建立计及源-荷不确定性的虚拟电厂多目标日前鲁棒优化调度模型。所提模型中对于风电、电负荷及热负荷采用可调不确定集合来描述,并以运行成本与碳排放量作为多目标优化调度的目标函数。应用对偶理论将多目标鲁棒模型转化为多目标确定性模型。为了更好地获得帕累托前沿解集,采用增广ε-约束法将多目标优化重构为单目标优化问题。应用考虑样本相关性与差异性的客观赋权法与综合评价法获取帕累托解集中的理想解。研究结果验证了所提模型的正确性及多目标问题处理方法的有效性。
To solve the problem of power redistribution among the internal participants of a virtual power plant(VPP),a multi-objective day-ahead robust optimal scheduling model of VPP considering the source-load uncertainty is estab⁃lished.In this model,adjustable uncertainty sets are used to describe the wind power,electrical load and thermal load,and the operating cost and carbon emissions are used as objective functions for the multi-objective optimal scheduling.The multi-objective robust model is transformed into a multi-objective deterministic model by applying the duality theo⁃ry.To better obtain the Pareto frontier solution set,the augmentedεconstraint method is used to reconstruct the multi-objective optimization into a single-objective optimization problem.A comprehensive decision-making method of criteria importance through intercriteria correlation-technique for order preference by similarity to an ideal solution is used to obtain the ideal solution in the Pareto solution set.The research results demonstrate the correctness of the proposed mod⁃el and the effectiveness of the multi-objective approach.
作者
秦子恺
黄婧杰
周任军
周喆
刘科明
QIN Zikai;HUANG Jingjie;ZHOU Renjun;ZHOU Zhe;LIU Keming(Hunan Province Collaborative Innovation Center of Clean Energy and Smart Grid(Changsha University of Science and Technology),Changsha 410114,China;CRRC Zhuzhou Locomotive Co.,Ltd,Zhuzhou 412001,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2023年第6期13-21,共9页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(52077009)。
关键词
源-荷不确定性
鲁棒优化
多目标
增广ε-约束法
考虑样本相关性与差异性的客观赋权法与综合评价法
source-load uncertainty
robust optimization
multi-objective
augmentedεconstraint method
criteria im⁃portance through intercriteria correlation-technique for order preference by similarity to an ideal solution
