A novelty approach to solve an economic dispatch problem for a renewable integrated micro-grid using optimization techniques

Introduction. The renewable integrated microgrid has considered several distributed energy sources namely photovoltaic power plant, thermal generators, wind plant and combined heat source. Economic dispatch problem is a complex operation due to large dimension of systems. objective function becomes non linear the inclusion many constraints. Hourly demand commercial area taken into consideration for performing economic five combinations are find best optimal solution meet demand. novelty proposed work consists Sparrow Search Algorithm used solve load get better convergence accuracy in generation with minimum cost. Purpose. performed microgrid, order determine output all present at possible Methods. compared other algorithms like Particle Swarm Optimization, Genetic been proved be more efficient than Conventional Lagrange method. Results. without solar supply system Combined Heat Power source, systems, including sources, generators. Practical value. optimization algorithm very supportive minimal fuel area.