Analysis On Peak Load Regulation Performance Of Power System Considering Demand Response And Wind Power

With the large-scale development of wind power and the widespread use of large-scale cooling and heating equipment in China,especially the large-scale use of air conditioning in summer and the centralized heating of winter load,the load peak-to-valley difference gradually increases,and the peak load pressure of the power grid continues to increase.The development of smart grids and the continuous advancement of electricity market reforms have enabled power systems to use demand response measures to guide users in their use of electricity in order to achieve the goal of peak load reduction and valley filling.Therefore,studying demand response to participate in the peak load adjustment of the power system and wind power system Peak-shaving adequacy probabilistic index issues in the planning stage has important theoretical value and practical significance for guiding the rational planning of wind power and ensure system reliability.Firstly,critical peak pricing and interruptible load optimization model are established in this paper.The critical peak pricing optimization model minimizes the monthly maximum load as an objective function,and user response model is based on consumer psychology.The total interruption time constraints of each interruption user,the minimum time constraint of two interruptions,and the number of interruptions are taken into account in the interruptible load optimization scheduling model,which reduces total interruption cost as much as possible on the premise of satisfying the interruption capacity in each peak period.Secondly,in order to consider the peaking resources on the power generation side and the demand side comprehensively,a peak shaving optimization model is established by considering high compensation interruptible loads participating in spinning reserve in this paper,which is based on unit commitment model.Some peak shaving units can be turned off during peak period for reducing system operating costs.A 10-machine example system is used to analyze the effects of the peak shaving optimization model from four perspectives: the load curve,the number of units started and stopped,the system operating costs,and the user's different compensation rates.A 36-machine example system is used to analyze the effect of the peak price mechanism on the peaking optimization model.Finally,in order to consider the impact of random outage of generator-side units on system peak shaving adequacy probabilistic index and to reflect the temporal sequence of wind power,a probabilistic production simulation method based on time-series load curves is used to process probabilistic production simulations with wind power.The effect of demand response on system peak shaving adequacy probabilistic index and probabilistic production simulations is considered through the implementation of critical peak pricing to modify the load curve and the use of high compensation interruptible loads as a spare unit.Based on the daily load curve,a method based on analytical method is proposed to calculate the peak shaving capacity insufficient probability and peak shaving capacity insufficient expectation indexs.The validity of the proposed method is verified by the actual load of Nanjing and EPRI-36 power generation system.The influence of wind power grid connection capacity,prediction accuracy and demand response measures on peak shaving adequacy,reliability and power generation cost of the system is analyzed.