Dynamic Economic Dispatch Of Microgrid Using Improved Imperialist Competitive Algorithm

In grid mode, aiming at the influence of the uncertainty of photovoltaic power generation, wind power generation and load in microgrid, on the premise of each constraint of the system, we set up a mathematical model of microgrid dynamic economic dispatch based on chance constrained programming. Aiming at microgrid total operation costs minimum, we consider the controllable units fuel costs, the costs of emitting carbon dioxide of the controllable units, unit maintenance costs, active power buying costs and spinning reserve buying costs from distribution network, etc. We use probability constraints to depict the reliability of the microgrid operation, and consider output constraints and climbing constraints of the controllable units. Considering imperialist competitive algorithm is easy fall-en to localminimum and converge slowly, by introducing the chaos theory, an improved imperialist competitive algorithm is proposed to solve the mathematical model we propose. Finally, with an microgrid system as an example, we analysis the influence to microgrid economy and the dispatch results in different reliability probability level, and we compare the convergence properties of the algorithm we propose with the conventional algorithms to verify the effectiveness of the algorithm we propose.