面向能源互联网的多能源局域网两层功率优化分配

针对面向能源互联网的多能源局域网运行调度中的实时功率分配问题,提出一种基于多智能体两层一致性理论的多能源局域网实时动态功率分配策略。将能源互联网划分为若干个能源局域网,同时以各能源局域网和能源局域网内各分布式电源的增量成本作为一致性状态变量设计一致性功率分配算法,使得各能源局域网根据自身情况承担能源互联网系统的功率不平衡量,进一步使得各分布式电源根据自身情况承担能源局域网的功率不平衡量,从而达到降低系统发电成本的目的。该算法通过相邻智能体之间的信息交互,减少了数据通信量,并且能够很好地应对能源互联网和能源局域网拓扑结构的变化。仿真结果验证了所提方法的有效性和可行性。

Two-layer power optimization allocation of multi-energy local networks oriented to energy internet

In order to solve the problem of real-time power allocation in the operation of multi-energy local networks oriented to energy internet, a real-time dynamic power allocation strategy of multi-energy local networks based on the two-layer consistency theory of multi-agent is proposed. The energy internet is divided into several energy local networks, and the consensus power allocation algorithm is designed by selecting the incremental costs of each energy local network and each distributed generation as the consensus state variables, so that the energy local networks can assume the power imbalance of the energy internet according to their own situation, and further the distributed gene-rations can assume the power imbalance of the energy local networks according to their own situation, which reduces the power generation costs of the system. The algorithm reduces the communication traffic through the information exchange among neighboring agents, and can adapt to the topology changes of the energy internet and energy local networks flexibly. Simulative results verify the effectiveness and feasibility of the proposed method.