Reliability Computing With Power Load Interactive In Active Distribution Network

As the outcome of smart grid in advanced stage, active distribution network (ADN) could integrate demand side resources, advanced measurement system and automatic control system by means of advanced technologies such as power electronics technology and information communication technology, which could provide effective method to promote large-scale grid connection of distributed renewable energy. Consequently, the scientific evaluation method of ADN has great significance to the decision making of ADN. Under the condition that large amount of renewable distributed generation (RDG) and electric vehicle (EV) are connected to ADN, the reliability evaluation of ADN would simutaneously envolve many different factors such as fault probability, output of RDG and controllable load management. The original reliability evaluation method for the traditional power grid should have profound change and various new participants have put forward new requirements to the reliability evaluation of ADN.In this paper, the structure of photovoltaic power generation system is analyzed, based on which the distributed photovoltaic power generation reliability model with weather index is introduced. This paper analysed the behavior characteristics of fixed travel and random trip for electric vehicles and put forward the calculation method of charge/discharge of EV. The reliability evaluation index system is proposed and the mathematical model of the power system energy storage equipment is built. Then based on the study of photovoltaic model and characteristics of EV, this paper proposed the source-load interaction strategy of ADN and the reliability evaluation method on the basis of sequential Monte Carlo algorithm. Finally, the validity and effectiveness of the proposed method is verified through the real grid reconstruction in a certain area of China.