A two-stage optimal scheduling strategy of hybrid energy system integrated day-ahead electricity market

Renewable energy sources mostly suffer from their fluctuating and intermittent nature, which causes them to be restructured in the form of hybrid energy systems. In this paper, a two-stage optimal scheduling strategy for hybrid energy systems containing wind, solar, and energy storage systems along with conventional sources is presented. In the first stage, the imbalance cost in wind energy integrated systems is minimised with complementary renewables, i.e., solar, and further with different types of energy storage systems. In the second stage, the energy arbitrage facility of the electricity market is incorporated into the hybrid energy system for profit with imbalance mitigation using hybrid energy storage. The modified IEEE 30 bus system with a 35 MW wind farm and a 1 MW solar PV system is considered here. Results were obtained using the moth swarm algorithm (MSA) and verified using the artificial bee colony (ABC) algorithm.