Abstract
Multi-microgrids have gained interest in academics and industry in recent years. Multi-microgrid (MG) allows the integration of different distributed energy resources (DERs), including intermittent renewables and controllable local generators, and provides a more flexible, reliable, and efficient power grid. This research formulates and proposes a solution for finding optimal location and operation of mobile energy storage (MES) in multi-MG power distribution systems (PDS) with different resources during extreme events to maximize system resiliency. For this purpose, a multi-stage event-based system resiliency index is defined and the impact of the Internet of things (IoT) application in MES operation in multi-MG systems is investigated. Moreover, the demand and price uncertainty impact on multi-MG operational performance indices is presented. This research uses a popular PG & E 69-bus multi-MG power distribution network for simulation and case studies. A new hybrid PSO-TS optimization algorithm is constructed for the simulations to better understand the contributions of MES units and different DERs and IoT on the operational aspects of a multi-MG system. The results obtained from the simulations illustrate that optimal operation of MES and other energy resources, along with the corresponding energy sharing strategies, significantly improves the distribution system operational performance.
Highlights
Electrical energy is an inevitable part of our daily lives, primarily supplied by centralized power plants
Monitoring the power system network in real time, situational awareness with intelligence and control provided by Internet of Things (IoT) could shift the conventional power distribution systems into intelligent ones, resulting in an efficient, safe, reliable, robust, and feasible power system network [1]
Optimal locations and capacities of mobile storages have been identified within the multi-MGs before the event start
Summary
Electrical energy is an inevitable part of our daily lives, primarily supplied by centralized power plants. The demand growth, technological innovations, and policy-rated constraints drive transformation in electrical power and energy systems by combining decentralized system units with centralized bulk systems. Monitoring the power system network in real time, situational awareness with intelligence and control provided by IoT could shift the conventional power distribution systems into intelligent ones, resulting in an efficient, safe, reliable, robust, and feasible power system network [1]. Mobile energy storage is gaining attention in academia and industries as a decentralized energy provider, to reduce the power transmission line losses, system operational costs and environmental emissions. The application of MESs with IoT in power distribution systems can significantly improve the system resiliency during power system disaster events. This paper optimizes mobile energy storage real-time applications using energy management strategies in multi-MG power distribution systems. IoT supports MESs to maintain the generation consumption balance in real time in this research
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