An Iterative Technique for Enhancing Profitability and Dispatchability of Wind-Battery Energy Storage System

In response to the intermittent power generated by the Wind Energy System (WES) and the Battery Energy Storage Systems (BESS) acting as a supplementary source in parallel with WES, the work proposes to determine the optimal size of BESS in kWh. The study uses wind speed data from the WES in Gujarat, India, to determine the forecasting errors. A realistic energy cycle generation targeting forecasting errors is developed using the Normal Distribution Curve. The optimum size in kWh of BESS for supplying the deficit forecasting power is determined, and it is found that the size is not enough to recover the investment cost even in a lifetime by selling the discharged power from the BESS at the Day Ahead Market (DAM) prices of Indian Energy Exchange at each time block. The study then investigates the profitable option through BESS by feeding power to the grid more than the forecasting error at favorable DAM prices and determine the kWh size of the BESS. An iterative technique is proposed for the maximum profitable discharged power. In the investigation process, an upgrade technique is also proposed to upgrade the initial size of the BESS in case of State of Charge (SoC) limit violations. The results are compared with the Genetic Algorithms (GAs) to justify the effectiveness of the proposed technique.