A day-ahead Optimal Scheduling Operation of Battery Energy Storage with Constraints in Hybrid Power System

In present situation, the renewable energy sources (RES) are turned into significant part of power system. Such power system is generally acknowledged as the hybrid power system (HPS), which is accountable for meeting its connected load. Battery energy storage (BES) is essentially needed along with RES to deal their intermittency and to commit them as dispatchable sources at some extent. An effective optimal scheduling operation of BES in such systems is a tedious assignment, due to unpredictable nature of RES, load, and electricity tariff. In this paper, a HPS integrated with utility grid (UG) containing wind farm (WF), solar photovoltaic (SPV), BES, and connected load is taken for problem simulation. The main aim of this paper is a day-ahead optimal scheduling of BES with its operational limitations in a HPS. To improve the BES performance, BES scheduling operation is mainly constrained by quick switching cost, energy conversions loss cost along with its state of health condition and charging/ discharging rate (fast or slow) restrictions. Optimization is executed through artificial bee colony algorithm (ABC) and the results are compared or validated using the classical technique, i.e., interior point method (IPM) of MATLAB fmincon function. (C) 2020 The Authors. Published by Elsevier B.V.