摘要
针对同一配电网下的多微网系统(MMG)的能源管理策略问题,提出一种基于主从博弈的配电网与多微网两阶段能源管理策略:第一阶段计及可再生能源发电出力的不确定性,构建Wasserstein分布鲁棒模型,引入虚拟储能,考虑微网间点对点(P2P)电能交互,建立配电网与MMG系统的主从博弈管理策略,并采用Kriging元模型和改进的SCSO算法进行求解,实现配电网与MMG的能源协同管理;第二阶段在考虑MMG内部P2P电能交易的背景下,为最大化降低微电网运营成本,采用一种基于最大运行成本降低比例(MOCRR)分摊的共享能源价格出清与结算模型,通过ADMM算法对其进行分布式求解,有效保护多微网主体的信息安全和隐私。最后,采用算例验证所提方法的可行性和有效性。
Aiming at the problem of energy management strategy for multi-microgrids(MMG)systems under the same distribution network,a two-stage energy management strategy based on master-slave game is proposed for distribution networks and MMGs:In the first stage,taking into account the uncertainty of the renewable energy power generation,a Wasserstein distribution robust model is constructed,virtual energy storage is introduced,and the peer-to-peer(P2P)power interaction between microgrids is taken into account,and a Kriging game is used to establish a master-slave management strategy.Peer-to-peer(P2P)power interactions are considered,and a master-slave game management strategy for the distribution grid and MMG system is established,which is solved by the Kriging meta-model and the improved SCSO algorithm to achieve collaborative energy management between the distribution grid and MMG;In the second stage,in order to minimize the operation cost of the microgrid,a shared energy price clearing and settlement model based on the allocation of the maximum ope ating cost reduction ration(MOCRR)is adopted and it is distributed and solved through the ADMM algorithm,effectively protecting the inforination security and privacy of the main body of multiple microgrids.Finally,an example is used to verify the feasibility and effectiveness of the proposed method.
作者
刘佳佳
田铭兴
毛旭升
Liu Jiajia;Tian Mingxing;Mao Xusheng(College of Automation&Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China;Gansu Province Engineering Laboratory for Rail Transit Electrical Automation(Lanzhou Jiaotong University),Lanzhou 730070,China)
出处
《太阳能学报》
北大核心
2025年第6期347-359,共13页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(52167013)
甘肃省自然科学重点项目(24JRRA225)
甘肃省自然科学基金(23JRRA891)。
