Proposing Intelligent Energy Management Model for Implementing Price Rate in Microgrids Using Demand Response Program

The present research paper proposes a microgrid generation scheduling model and illustrates a design infrastructure for implementing price management in microgrids with demand response program using intelligent soft computing technique. Higher-order metaheuristic approach like Exponent-decreasing-inertia-weight-particle-swarm-optimization (EDW-PSO) which aids to find precision solution is applied thereby minimizing desired goal. Demand-response-(DR)-schemes are accomplished in manner of inducement remittance on household, mercantile and manufacturing customers. The work considers microgrid system model and consists of different power components like Micro-turbine-(MT), Wind-turbine-(WT), Photo-voltaic-(PV), Fuel-cell-(FC), Battery-power source and responsive loads are used. Numerical and graphical outcome attained present ascendancy in suggested demand side management modeling approach using EDW-PSO for effective generation scheduling in microgrids. Results show that prices decreased utilizing EDW-PSO compared to Particle Swarm Optimization (PSO). © 2021, The Institution of Engineers (India).