Assessment of Energy Arbitrage Using Energy Storage Systems: A Wind Park’s Perspective

With the growing application of green energy, importance effectively handling volatile nature these energy sources is also in order to ensure economic and operational viability. Accordingly, main contribution this work evaluate revenue potential for wind parks with integrated storage systems day-ahead electricity markets using genetic algorithm. It achieved by concept flexible charging–discharging Energy Storage System (ESS), taking advantage widespread prices that are predicted a feedforward-neural-network-based forecasting In addition, reactive power restrictions posed grid code be followed park considered as one constraints. Moreover, profit obtained Battery (BESS) compared Thermal (TESS). The proposed method gave more profitable results when utilizing BESS arbitrage than TESS. availability ESS at has reduced curtailment.