Adaptive Energy Management Strategies for Hybrid Energy Systems Using Multi Object Grey Wolf Optimization

In the current scenario, sunshine and wind are renewable energy sources, which are available across the planet, and they are sustainable alternatives because of self-reproduction. Even though, all isolated resources are established manually and simultaneously in a globular way. If networks perform inconsistently and resources produce less power than required. To overcome this issue, the Multi Object Grey Wolf Optimization (MOGWO) is proposed to manage renewable resources for grid systems. The proposed MOGWO optimizes the parameters and manage the renewable energy sources including Photo-Voltaic (PV), wind and battery with a duty cycle. The peak demands of resources are effectively managed by using proposed MOGWO and over voltage is encountered by the duty cycle. The energy is utilized in a consistent way by switching DC-converters. In the first zero interval, the proposed MOGWO established powers of PV 80.12W, wind 67.45W and battery 29.45W and in final interval, the proposed MOGWO provided powers of PV 86.45W, wind 71.39W and battery 29.99W.