A contingency based energy management strategy for multi-microgrids considering battery energy storage systems and electric vehicles

The emergence of microgrids along with extending the use of new energy resources, energy storage systems and electric vehicles at distribution level has changed traditional distribution systems into multi-microgrids (MMGs) which are usually more stable and reliable. For an MMG system, the probability of a fault occurrence at each time period makes the system operation process more complex. From this point of view, this paper aims at proposing a coordinated energy management strategy for optimal operation of MMG systems using a variable weighted multi-objective function. Based on this method, in the case of occurrence of a contingency problem, multiple operators are able to change the weight of functions depending on contingencies and are responsible for the proper use of energy storage systems and other distributed energy resources. Moreover, an efficient optimization algorithm called targeted search shuffled complex evolution is proposed to quickly optimize decision parameters during faulted and normal operation modes. Finally, a unified framework is presented to implement the proposed energy management strategy along with the reliability study of the intended test system, and the ability of the proposed approach is investigated in a modified reliability-based case study by considering different scenarios.