摘要
针对电网的分区运行与多类型灵活性资源地区间分布不均衡的特性,提出一种考虑灵活性互济的跨区电网灵活性资源优化调度策略。首先,建立考虑多类型灵活性资源的综合灵活性供给能力模型,同时计及灵活性互济水平建立联络线功率约束模型;其次,建立基于电网间灵活性资源互济机制的多区域电网优化调度模型,将灵活性平衡机理与多种灵活性资源协调运行问题结合起来,引入模糊机会约束描述净负荷不确定性对灵活性供需平衡和电力平衡的影响;最后,以3个互联的IEEE-39节点系统为例对所提出的调度模型进行了验证,结果表明,所提灵活性互济调度模型促进了电网的灵活性供需平衡,有效地降低了系统运行成本和碳排放量,对系统经济安全、低碳环保运行具有积极意义。
Aiming at the regional operation of power systems and the uneven regional distribution of multitype flexible resources,an optimal dispatching strategy for flexible resources considering flexible mutual aid among regional grids is proposed.First,a comprehensive flexible supply capacity model considering multitype flexible resources was established,and a power constraint model of the tie line was realized considering the level of flexible mutual aid.Second,an optimal dispatching model of a multiregional power grid based on a flexible mutual aid mechanism is accomplished,in which the flexibility balance mechanism is combined with the coordinated operation of multiple flexible resources,and fuzzy opportunity constraints are introduced to describe the impacts of net load uncertainties on the flexible supply-demand balance and power balance.Finally,three interconnected IEEE-39-node systems are used as examples to verify the proposed dispatching model.The results show that the proposed flexible mutual aid dispatching model can promote a flexible supplydemand balance of the power grid,effectively reduce the system operation cost and carbon emissions,and thus has positive significance for the economic,safe,and low-carbon operation of the power system.
作者
林顺富
张琪
沈运帷
周波
边晓燕
李东东
LIN Shunfu;ZHANG Qi;SHEN Yunwei;ZHOU Bo;BIAN Xiaoyan;LI Dongdong(College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;Shanghai Key Laboratory of Smart Grid Demand Response,Shanghai 200063,China)
出处
《电力建设》
CSCD
北大核心
2023年第8期71-81,共11页
Electric Power Construction
基金
国家自然科学基金项目(51977127)
上海市教育发展基金会和上海市教育委员会“曙光计划”(20SG52)。
关键词
电力系统灵活性
多区域电网
灵活性互济
优化调度
power system flexibility
multiregional power grid
flexible mutual aid
optimal dispatch
