Optimal planning and management of photovoltaic sources and battery storage systems in the electricity distribution networks

摘要

In this paper, the Non-dominated Sorting Genetic Algorithm NSGA-Ⅱ, accompanied by the Newton Raphson method for power flow calculation, has been applied to an IEEE 33 bus test network to plan locations of photovoltaic power plants and Battery Energy Storage Systems. In addition to the minimization of costs, total losses and the maintain of voltage within acceptable limits (minimize voltage drops), the determination of these optimal locations will make it possible to converge towards a decentralized network with optimized, local energy and close to the consumer.