Energy router based minimum loss cost routing strategy in energy internet

Abstract

The energy internet is a multi-energy sharing system with coordinated and optimized operation of source-network-load-storage. The energy router (ER) is basic equipment in future energy internet, so research on routing strategy of ER is of great significance for energy optimization. The traditional routing strategy based on minimum path (MLP) does not consider cost of different distributed energy resources (DERs), so DERs with low cost have same transaction priority as DERs with high cost. In addition, power exchange should not be limited to traditional centralized allocation and scheduling, but peer to peer (P2P) transactions between ERs. Therefore, a minimum cost path (MLCP) routing strategy that can realize P2P transactions is proposed, which can maximize benefits and improve priority of renewable energy by modifying marginal cost coefficient. At same time, a scheme of congestion management based on the principle of equal mini rate of loss is presented, which has less cost and can obtain best optimization effect under condition of critical congestion. Effectiveness of MLCP routing strategy is proved by simulation, and superiority of congestion management scheme is verified by comparing with traditional schemes.