Study on economic operation for micro-grid based on scenario and PSO

In this paper, the economic operation problem of micro-grid is studied in an uncertain framework. The Probability Density Functions (PDF) and Roulette Wheel Mechanism (RWM) are used to build the scenarios, which can describe the randomness and uncertainty of wind power, photovoltaic power and load demand forecast error. The number of scenarios is reduced if necessary. Many kinds of constraint condition of the micro-grid system are considered, which are processed through penalty function method. On these basis, a micro-grid scheduling scheme is proposed based on the construction of scenarios. And the particle swarm optimization (PSO) algorithm is employed to solve the optimal problem. Finally, in the simulation, the proposed framework is verified to be more effective compared with the deterministic framework for micro-grid.