A dynamic model for multi-objective feeder reconfiguration in distribution network considering demand response program

The distribution feeder reconfiguration represents a major process of operation in the distribution system utilized to enhance grid performance. Given disparities in the electricity price as well as smart networks' load pattern, the distribution system's operational problems are much more time-dependent and more complex than before. For this purpose, the dynamic distribution feeder reconfiguration with diverse objectives such as energy not supplied, energy loss and operational cost is formulated in this research. Time of use service of demand response program is suggested to change customers' consumption patterns. Given the innate intricacy of this issue, an improved particle swarm optimization (IPSO) algorithm is presented to address the problem of dynamic distribution feeder reconfiguration in the presence of energy storage systems, distributed generation units, and solar photovoltaic arrays. In this paper, the presented algorithm is tested in the IEEE 95-node test system, and discuss its advantages by drawing analogy with other evolutionary algorithms.