Operations of a clustered microgrid

Microgrids (MGs) are referred to as isolated and self-sufficient electricity supply systems that well suit remote areas. These systems are generally composed of nondispatchable and dispatchable energy resources to reduce the electricity production cost. Emergencies such as overloading, faults and shortfalls can result in difficulty for the smooth operation of MGs. The main aim of this study is to discuss the operation of MGs by presenting a power transaction management scheme. It focuses on the scenario when MGs are provisionally coupled to resolve the emergency situation and termed clustered MGs. For this purpose, power transaction is taken as an instance of purchasing or selling of electricity amongst healthy and problem MGs. The key objective of a suitable power transaction technique should then be regulating the power amongst the provisionally coupled MGs by adjusting the suitable power generation from all available dispatchable sources. An optimization problem is formulated for achieving this purpose, and its main purpose is to minimize the costs and technical impacts while focusing on the above-considered parameters. Genetic algorithm which is a heuristic optimization technique is used to solve the formulated optimization problem, and the performance of the suitable power transaction strategy is evaluated by several numerical analyses