Optimal Integration of Distributed Solar PV and Storage Fleet Controller based BESS in Distribution Network with Flat and Balanced Demand

Solar PV and Battery Energy Storage System (BESS) have been emerged as a popular Distributed Energy Resources (DER) for peak shaving and phase balancing in unbalanced distribution system network. This is required to have a systematic approach which includes sizing and locating them economically in terms of optimal energy utilization and financial investment. In this paper, it is noteworthy that the energy utilization and the financial investment have been parameterized by self-consumption and levelized cost of electricity respectively along with other commonly used objectives. A multi-objective optimization technique, Non-Dominated Sorting Genetic Algorithm-II (NSGA-II), modeled in MATLAB, has been used to find solution trade-offs. Whereas, an unbalance low voltage distribution test feeder, modeled in OpenDSS, has been taken for performing the load flow. Finally, the simulation work that has been performed here with the inbuilt storage controller of OpenDSS, helped the required energy to be dispatched amongst the energy storages and an observation has been made on its performance.