Power System Optimal Operation With Large-Scale Renewable Generation Integrated Considering Demand Side Response

With the continuous development of economic society,the global energy crisis,environmental pollution and climate deterioration are increasingly becoming a serious problem,which are affecting the sustainable development of the world,so the clean,low carbon,green and environmentally friendly sustainable renewable energy has received increasing attention and has become to alternative fossil fuels in many countries' energy transformation.At the same time,renewable energy power has shown a very broad market prospects and great potential for development.However,due to the uncertainty characteristics,such as randomness,volatility and intermittent,large-scale renewable energy power has brought serious challenges to power system scheduling and operation.Peak load regulation capability insufficient of power system has become a bottleneck to the consumption of renewable energy power,and the thermal power has unable to meet the intelligent and flexible scheduling needs with large-scale renewable energy power integrated.Therefore,the study of new scheduling model and theory has a certain theoretical and practical significance.The demand response(DR)of the smart grid has been introduced into the optimization operation of power system with large-scale renewable power integrated in this paper,and by integrated planning the supply side and demand side resources we can make it possible that improving the load regulation capability,reducing the curtailment of renewable power and improving the economy of power system operation.Firstly,a background research has been done on the domestic and foreign current development of the wind power,photovoltaic power and the demand response,then research on the optimization operation of large-scale renewable power system based on the demand response.Then illustrates the significance of introducing demand response into the renewable power system and pointed the direction and content of this article.Secondly,some basic research on demand response has been made.Based on the different types of demand response characteristics and their mutual relations,a price demand response model based on price elasticity,and an incentive demand response model based on capacity and power compensation has been established separately.Thirdly,considering the uncertainty output of wind power and based on chance constraint programming,a power system stochastic economic scheduling model with large-scale wind power integrated has been established in this paper.And the price demand response model has been integrated into the day-ahead unit commitment,the incentive demand response model has been introduced into the real-time economic dispatching.To illustrate the effect and mechanism of the different types of demand response models have on the power system economic operation,a 10-unit test system has been used.Finally,considering the complementation between wind power and photovoltaic power and using Copula function to establish the united probability distribution of wind power and photovoltaic power,an optimal operation model of power system with large-scale wind power and photovoltaic power united,based on chance constraint programming,has been established.And the complementation between wind power and photovoltaic power has been validated by using a 10-unit system,and further illustrate the effect of demand response have on the power system economic operation with large–scale renewable energy integrated.