Artificial intelligence based optimization algorithm for thermal power generation scheduling incorporating demand response strategy

摘要

A dynamic combined economic emission dispatch (CEED) problem incorporating demand response strategy is performed. The demand response optimisation problem is solved using a nonconvex mixed binary integer programming technique. Fixed and flexible loads connected to the power system network are considered in the analysis. Optimisation of the dynamic CEED problem is done using particle swarm optimisation (PSO) technique. The algorithm developed is able to take into account the thermal power generation unit ramp rates and power generation constraints. Conventional Lambda iterative method is used to validate the proposed PSO algorithm. The results show that the proposed PSO algorithm performs better than the conventional Lambda iterative method.