摘要
为提高远洋海岛能源供给经济性,减少其对中国内地电网的依赖,提出基于主从博弈的远洋海岛微网能量管理策略。该策略实施两阶段优化:第1阶段考虑到光伏出力的随机性和负荷的波动性,构建不确定性模型,以发电功率和用户功率的最大匹配为目标,优化储能充放电功率;第2阶段构建能量管理中心EMC(energy management center)与微网运营商MGO(microgrid operator)之间的主从博弈模型,该模型以EMC为领导者、MGO为跟随者,形成一主多从博弈均衡。通过分析负荷中心岛中微电网电量富余和不足的2种情况,优化EMC定价策略和MGO用户需求响应,并证明了该模型博弈均衡解的存在性和唯一性。最后通过仿真算例验证了所提策略的经济性和有效性。
To improve the energy supply economy of a pelagic island and reduce its dependence on mainland power grid,an energy management strategy for pelagic island microgrid is proposed based on a leader-follower game,under which a two-stage optimization is performed.At the first stage,considering the randomness of photovoltaic output and the fluctuation of load,an uncertainty model is constructed to optimize the charging and discharging power of energy storage with the objective of maximizing the matching of power generation and user power.At the second stage,a leaderfollower game model between an energy management center(EMC)and microgrid operators(MGOs)is constructed,which forms a single-leader multi-follower game equilibrium with the EMC as the leader and MGOs as followers.The EMC pricing strategy and MGO user demand response are optimized by analyzing the surplus and shortage of microgrid power in the load center island,and the existence and uniqueness of the game equilibrium solution of this model is proved.Finally,an example is simulated to verify the economy and effectiveness of the proposed strategy.
作者
高降宇
陈蓓
黄帅博
GAO Xiangyu;CHEN Bei;HUANG Shuaibo(College of Electronic and Electrical Engineering,Shanghai University of Engineering Science,Shanghai 201620,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2023年第2期1-9,共9页
Proceedings of the CSU-EPSA
基金
国家自然科学基金资助项目(62173222,61803255)
科技创新2030-“新一代人工智能”重大项目(2020AAA0109301)。
关键词
两阶段优化
主从博弈
博弈均衡解
远洋海岛
能量管理
two-stage optimization
leader-follower game
game equilibrium solution
pelagic island
energy management