研究分布式能源网络(distributed energy network,DEN)是解决传统分布式能源系统(distributed energy system,DES)动态供应错位问题的迫切需求。电转气(power-to-gas , P2G)技术及多能源融通在促进DEN发挥最大价值的同时,使其协调控制变得更加复杂。基于此,文章研究考虑P2G及电热气融通的DEN调度问题。首先以DEN运行成本最小建立数学模型,并在目标函数中考虑弃风、弃光成本,其次采用一种改进粒子群算法进行求解。结果分析表明,模型可通过优化能源供给方式,以最小运行成本满足不同用户的动态能源诉求；引入P2G实现富余电能的大范围时空平移,带来一定环保效益；构建多能融通网络,能够协调不同用户供需之间的差异性；考虑P2G及多能融通的DEN调度更为灵活、精准,综合性能优异。文章研究为未来DEN建设提供一定参考。
英文摘要:
It is urgent to research distributed energy network (DEN) to solve the problem of dynamic supply misplacement based distributed energy system (DES).While power-to-gas (P2G) technology and multi-energy interchanges maximizing the benefits of DEN, the coordinated control of it becomes more complex. Based on this, this paper studied DEN optimal scheduling problem considering P2G and power, heat and gas interchanges. Firstly, the mathematical model was established, and the minimum cost of DEN operation was taken as the objective function which included the cost of abandoning wind and sun. Secondly, an improved particle swarm optimization algorithm was used to solve it. The results suggest that, the model can satisfy the dynamic energy demand of different users with minimum operating cost by optimizing the energy supply mode; the introduction of P2G can realize a wide range of spatiotemporal translation of surplus electric energy and bring certain environmental benefits; besides the interchanges may balance the difference in energy demand and supply between different users; DEN scheduling considering P2G and multi-energy integration is more flexible and accurate, with excellent comprehensive performance. This work provides some references for the future construction of DEN.