摘要
单一区域综合能源系统(Regional integrated energy system,RIES)在面对大规模、高比例可再生能源接入和日益增长的负荷多样性时难以实现多能协同和灵活调度。针对上述问题,首先构建了计及电、热、天然气及氢气的多能耦合多区域综合能源系统。然后利用拉丁超立方体抽样及K-means算法来捕捉可再生能源和各类负荷的不确定性。随后,针对多子系统参与、多能耦合、多不确定性问题构建了多RIES非合作与基于纳什谈判的P2P(Peer-to-peer)合作模型。对后者利用交替方向乘子法求解出最优策略并通过Shapley值法保证联盟收益的公平分配。仿真结果验证了用所构建的P2P合作模型能够实现多RIES协同和灵活资源互补、提高可再生能源本地消纳率、减少系统碳排放、降低各RIES运行成本和系统对能源网的依赖。
The single regional integrated energy system(RIES)has difficulties in realizing multi-energy synergy and flexible scheduling in the face of large-scale,high-proportion renewable energy access and increasing load diversity.To address the above problems,a multi-energy coupled multi-regional integrated energy system considering electricity,heat,natural gas and hydrogen is first constructed.Then,Latin hypercube sampling and K-means algorithm are utilized to capture the uncertainty of renewable energy and various loads.Subsequently,the multi-RIES non-cooperative and Nash negotiation-based peer-to-peer(P2P)cooperative models are constructed for the problems of multi-subsystem participation,multi-energy coupling,and multi-uncertainty.For the latter,the alternating direction method of multipliers is utilized to solve the optimal strategy and ensure the fair distribution of the coalition benefits through the Shapley value method.The simulation results verify that the constructed P2P cooperation model can realize multi-RIES synergy and flexible resource complementarity,improve the local consumption rate of renewable energy,reduce the carbon emission of the system,and lower the operating cost of each RIES and the dependence of the system on the energy network.
作者
邹鑫
赖振华
赵云龙
ZOU Xin;LAI Zhenhua;ZHAO Yunlong(Department of Economics and Management,North China Electric Power University,Baoding 071003,China)
出处
《电力科学与工程》
2025年第8期58-69,共12页
Electric Power Science and Engineering
基金
国家自然科学基金资助项目(72171081)
河北省自然科学基金资助项目(G2022502001)
中央高校基本科研业务费专项资金资助项目(2023MS153)
国网四川省电力公司科技项目(SGSCJY00N YJS2400023)。
关键词
多区域综合能源系统
随机优化
P2P合作博弈
ADMM算法
收益分配
multi-regional integrated energy system
stochastic optimization
P2P cooperative games
ADMM algorithm
revenue distribution
