Economic dispatch (ED) plays an important role in economic operation of the microgrid (MG). However, the communication links among distributed generators (DGs) may practically be corrupted by additive noise, resulting in erroneous deviations from ED commands. To deal with such issues, this study proposes a distributed noise‐resilient ED strategy for islanded MG. Owing to consensus‐based implementation, the proposed ED strategy is implemented in a fully distributed manner, which enables peer‐to‐peer communication among DGs without the necessity of a central controller. In addition, the proposed ED strategy involves post‐iterate averaging technique to further enhance its convergence under additive communication noise. In this way, different from the existing ED strategies, the proposed ED strategy is fully distributed and resilient to the communication noise. Furthermore, the effectiveness of the proposed ED strategy is evaluated on an islanded MG, where the communication links are corrupted by different levels of additive noise. Finally, in order to fully take account of the uncertainty and stochastic nature of different operation scenarios, the Monte‐Carlo simulations are carried out, of which the simulation results demonstrate that the proposed ED strategy is superior to the existing ED strategies, in terms of the convergence property under additive communication noise.

In microgrid (MG) systems, traditional centralised energy trading models can lead to issues such as low energy efficiency due to unstable energy supply and lack of flexibility. Peer‐to‐peer (P2P) trading models have been widely used due to their advantages in promoting the sustainable development of renewable energy and reducing energy trading costs. However, P2P multi‐energy trading requires mutual agreements between two microgrids (MGs), and the uncertainties of renewable energy and load affects energy supply security. To address these issues, this article proposed a distributed robust operation strategy based on P2P multi‐energy trading for multi‐microgrid (MMG) systems. Firstly, a two‐stage robust optimisation (TRO) method was adopted to consider the uncertainties of P2P multi‐energy trading between MGs, which reduced the conservatism of robust optimisation (RO). Secondly, a TRO model for P2P multi‐energy trading among MGs was established based on the Nash bargaining theory, where each MG negotiates with others based on their energy contributions in the cooperation. Additionally, a distributed algorithm was used to protect the privacy of each MG. Finally, the simulation results based on three MGs showed that the proposed approach can achieve a fair distribution of cooperative interests and effectively promote cooperation among MGs.

Battery energy storage systems (BESSs) are important for the operation and optimisation of the islanded microgrid (MG).However, the BESSs will have different dynamics due to the differences in characteristics and operating conditions, leading to unbalanced state‐of‐charges (SoCs). On the other hand, because of the unequal line impedances, the conventional reactive power‐voltage ( Q–V ) droop control results in disproportional reactivepower‐sharing. To deal with suchissues, a power ‐frequency ( P–f ) droop‐based decentralised SoC balancing strategy is developed first to regulate the active power outputs of BESSs in terms of SoCs, thus ensuring SoC balancing among BESSs. Furthermore, the authors develop a Q–V droop‐based decentralised reactive power‐sharing strategy to dispatch the reactive power among BESSs in terms of their respective reactive power ratings. In this way, compared with the existing control strategies, the proposed control method is fully decentralised, which removes the necessity for both the central controller and communication links. Moreover, the proposed control method has a simpler control structure with the plug and play capability. Finally, the simulation results are presented in an islanded MG to demonstrate the effectiveness, plug and play capability of the proposed control method.