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作 者:吴晓峰 刘国中 葛在辉 WU Xiaofeng;LIU Guozhong;GE Zaihui(School of Electrical Engineering&Intelligentization,Dongguan University of Technology,Dongguan 523808,China)
机构地区:[1]东莞理工学院电信工程与智能化学院,广东东莞523808
出 处:《东莞理工学院学报》2025年第1期89-95,共7页Journal of Dongguan University of Technology
基 金:广东省基础与应用基础研究基金联合基金(2023A1515140009);东莞市社会发展科技项目(20231800936032)。
摘 要:设计基于安全的P2P(Peer-To-Peer)能量共享市场,可以促进微网自主地参与到本地的能量共享市场,推动可再生能源的利用。针对多微电网能量共享策略优化问题,首先建立了考虑碳排放配额的多微网能量共享模型,在此基础上提出了微电网最优共享策略,最后以最小化微网的能源成本为目标,采用基于自适应交替方向乘子法(Adaptive Alternating Direction Multiplier Method,AADMM)求解得到最优能量共享计划。仿真案例研究表明所提出的AADMM算法可以有效减少迭代次数和迭代时间,并且所提出的策略对微网具有能源经济性和碳减排效益。此外采用AADMM算法求解微电网之间电能共享问题,仅需微网之间的交易电量和交易电价参数,有效避免了其它隐私信息的泄露。Designing a secure P2P(Peer to Peer)energy sharing market can promote the autonomous participation of microgrids in the local energy sharing market and promote the utilization of renewable energy.In response to the optimization problem of energy sharing strategies for multiple microgrids,this paper first establishes a multi microgrid energy sharing model considering carbon emission quotas.Based on this,the optimal sharing strategy for microgrids is proposed.Finally,with the goal of minimizing the energy cost of microgrids,the adaptive alternating direction multiplier method(AADMM)is used to solve the optimal energy sharing plan.The simulation case study shows that the proposed AADMM algorithm can effectively reduce the number of iterations and iteration time,and the proposed strategy has energy efficiency and carbon reduction benefits for microgrids.In addition,the AADMM algorithm is used to solve the problem of electricity sharing between microgrids,which only requires the transaction electricity quantity and price parameters between microgrids,effectively avoiding the leakage of other privacy information.
分 类 号:TP39[自动化与计算机技术—计算机应用技术]
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