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面向碳减排与弹性提升的交直流混合配电网协同优化调控方法OA

Collaborative optimization and control method for AC/DC hybrid distribution network aimed at carbon reduction and resilience

中文摘要英文摘要

在"双碳"目标的指引下,交直流混合配电网络已逐渐成为配电系统未来发展的重要方向.然而,碳减排与提升电力网络弹性这两大需求之间存在一定矛盾,难以高效协同.鉴于此,提出了一种基于近似纳什均衡的交直流混合配电网协同优化方法.首先探讨了不同条件下,碳减排与弹性对交直流配电网络运行的影响;随后,提出了考虑碳减排的协同调控模型,并提出了弹性评估的度量指标,在此基础上设计了优化运行的近似纳什均衡策略.最终,以达成均衡的碳减排、经济性、弹性作为优化目标,构建起交直流混合配电网的优化调控模型.通过改进的IEEE33节点算例和雄安新区某园区算例进行计算分析,验证了所提方法对降低碳排放、提升经济性与弹性的有效性和可行性.

Guided by the"dual carbon"goal,the AC/DC hybrid distribution network has gradually become an important direction for the future development of the distribution system.However,a certain contradiction exists between the two major demands of carbon reduction and improvement of power network resilience,and their efficient coordination is hampered.In view of this,a collaborative optimization method for AC/DC hybrid distribution networks based on approximate Nash equilibrium is proposed.Firstly,the impact of carbon reduc-tion and resilience on the operation of AC/DC distribution networks under different conditions is explored.Subsequently,a collaborative regulation model considering carbon emissions reduction is proposed,and a measurement index for resilience evaluation is proposed.Based on this,an approximate Nash equilibrium strategy for optimized operation is designed.Ultimately,with the optimization goals of achieving balanced carbon reduction,economy,and resilience,an optimization and control model for the AC/DC hybrid distribution net-work is constructed.The effectiveness and feasibility of the proposed method in reducing carbon emissions,improving economic efficiency and resilience are verified through improved IEEE33-node examples and a certain park example in Xiong'an New Area.

洪福斌;蔡小辰;刘贵;陈昊;马兆兴

国网电易数字科技(雄安)有限公司,河北 保定 071700国网电力科学研究院有限公司,南京 211106国网电力科学研究院有限公司(南瑞集团有限公司),南京 211106国网江苏省电力有限公司 南京供电分公司,南京 210019青岛理工大学 信息与控制工程学院,山东 青岛 266520

信息技术与安全科学

近似纳什均衡交直流混合配电网弹性经济性碳减排

approximate Nash equilibriumAC/DC distribution networkresilienceeconomycarbon emission

《电力需求侧管理》 2026 (1)

24-32,9

国家自然科学基金资助项目(62203248)电网运行风险防御技术与装备全国重点实验室资助项目(SGNR0000KJJS2302137)

10.3969/j.issn.1009-1831.2026.01.004

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