Demand-side management in microgrid using novel hybrid metaheuristic algorithm

The paper presents the development of demand-side management to minimize the cost of operation and dispatch of optimal power. The microgrid is coupled with the natural gas network to overcome the intermittent nature of renewable energy. To avoid congestion in the gas network, its coordination with electric network has been incorporated using hybridization of two optimization approaches, grasshopper and flower pollination algorithm. The demand response strategy based on time-of-use tariff is implemented to decrease the peak of the demand curve which helps the grid to shave peak of the load curve by reducing the power shared among the utility and microgrid. The proposed strategy is implemented using a seven-node natural gas system tied with the 33 bus IEEE test system.