Flexible network planning of autonomy microgrid

In a microgrid, a rational network is necessary to improve the economy, reliability, adaptability, security, and coordination of the supply with the load demand. A flexible network optimal planning model of autonomy microgrid is proposed. Several uncertainties including the output power of distributed generation and load power are considered and each uncertainty factor is divided into several typical scenarios. The probability of each scenario is calculated by asymptotically optimal scenario analysis. The annual investment cost, the fault outage cost expectation, the annual cost regret value expectation and penalty function, the violating electrical constraints degree, and the source‐network‐load equilibrium degree are applied to represent the flexibility of the planning model. Allocation of energy storage system capacity is considered in the network planning model, which can reduce the negative effects on the microgrid in extreme scenarios. An energy management strategy is constructed to coordinate the distribution of source and load. The tree structure encoding is employed to ensure the connectivity of the network. Dynamic Pareto set‐based particle swarm optimisation is adopted for the solution of the network planning model. Finally, the calculation results of planning schemes are demonstrated by radar chart, and the optimal one is selected by its comprehensive evaluation value.