Can multi-energy complementary microgrids share electricity?

In Ref. , a distributed energy sharing strategy is proposed for multi-energy complementary microgrids considering integrated demand responses. These study demonstrates that it is feasible to consider the coordination and electricity sharing between microgrids in an MMG network, while maintain the network stabilization.

What is Energy Planning at the microgrid level?

Abstract: This paper proposes energy planning at the microgrid level from the perspective of distributed energy systems. At the same time, combined with the background of the energy Internet, it studies the optimal configuration method of hybrid energy storage systems that promote large-scale new energy integration and consumption.

What is a multi-energy multi-microgrid (MMG) network?

Multi-energy multi-microgrid (MMG) networks are considered as a promising form of energy systems that can integrate various energy resources and improve energy utilization efficiency. Carbon emission limitation, regarded as a significant factor in energy management, has received increasing attention in recent years.

What is a multi-microgrids' energy real-time optimization management and dispatch strategy?

Based on the proposed multi-microgrids' energy collaborative optimization and complementation model, a multi-microgrids' energy real-time optimization management and dispatch strategy is proposed that fully considers the real-time complementarity of renewable energy between multi-microgrids and achieves the best coordinated dispatch of energy.

How can a multi-energy multi-microgrid (MMG) network preserve the privacy of microgrids?

A distributed algorithm is developed to preserve the privacy of microgrids. The rolling horizon method is employed to deal with the forecast errors. Multi-energy multi-microgrid (MMG) networks are considered as a promising form of energy systems that can integrate various energy resources and improve energy utilization efficiency.

How to optimize microgrid energy management?

The proposed strategy can ensure the robustness of the microgrid and reduce the conservatism of microgrid operation as compared with the traditional robust optimization method. Furthermore, the typical optimization model of microgrid energy management is improved by taking the demand response of the thermal load into account.