| With the shortage of fossil energy and the increasingly prominent problems of ecological environment,renewable clean energy,such as wind power and solar energy,has develop rapidly.Renewable clean energy generations can ease the pressure on fossil fuels and reduce emissions of greenhouse gases and pollutants.Distributed renewable energy in distribution network can balance the power of the distribution network locally,to avoid the long-distance transmission of electricity;wind power,solar energy and other renewable energy sources influenced by environmental factors,will have a significant impact on the operation of the distribution network.The Active Distribution Network can realize the economical and reliable operation of distribution network through the regulation of some distributed power supply and demand side resources.Therefore,it is of great practical significance to study the related problems of Active Distribution Network with distributed renewable clean energy.This paper studies related problems of day-ahead active power scheduling and comprehensive optimization of Active Distribution Network based on the demand side price response.The basic characteristics and structure of Active Distribution Network are elaborated,the power model of wind power generation,photovoltaic power generation and battery energy storage system are analyzed,as also as demand side price response model,then the peak clipping capacity of demand side price response model is studied.According to the characteristics of distributed power supply and demand side response,a day-ahead active power scheduling model of Active Distribution Network is developed to coordinate optimization of battery energy storage system and electricity sale price,aiming at achieving the minimal overall operation cost of Active Distribution Network,which includes the power purchase cost,load shedding cost,power curtailment cost of wind and solar system,battery storage operation cost and demand side price response cost.Considering the influence of reactive power compensation on Active Distribution Network,a comprehensive optimization model of Active Distribution Network is developed to minimize the overall operation cost of Active Distribution Network by coordinating optimization of battery energy storage system,electricity sale price and output of reactive power compensation equipment,the overall operation cost includes the power purchase cost,load shedding cost,power curtailment cost of wind and solar system,battery storage operation cost,demand side price response cost and switching cost of shunt capacitor bank and operating cost of static VAR compensator.In this paper,Particle Swarm Optimization is used to solve the models,and the models have been strictly tested by a 21-node distribution network system.The results show that the models proposed can better explain the problems of Active Distribution Network's day-ahead active power dispatch and integrated optimization considering the demand side response and have certain theoretical guidance significance. |
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