Design of energy dispatch strategy of active distribution network using chance-constrained programming

Abstract

Active distribution network plays an important role in increasing the utilization level of the renewable energy and realizing the flexible intelligent distribution network management. In this paper, aiming to improve the economy and reliability of the active distribution network, the energy dispatch strategy is designed by the method of the chance-constrained programming. Considering the uncertainty of the photovoltaic power generation and wind power generation, the random simulation technique and the penalty function method are selected to build the energy scheduling mathematical model. The operation constraints are set for wind turbines, photovoltaic power generation unit, the active power energy storage devices and the exchange power between the superior power system and the active distribution network. The energy dispatch strategy is given by the improved particle swarm algorithm. An actual system in a certain area is chosen to verify the effectiveness of the proposed method in this paper.