| With the development of smart distribution networks and the constant attention to user power supply services,the higher requirements are placed on the reliability of distribution networks.Demand-side management(DSM)among them can optimize the allocation of resources,establish the connection between users and the grid,and guide users to rational use of electricity,these improve reliability of system.Demand response(DR),as an important technical measure in the customer DSM,it can use electricity price or incentive measures to balance load and demand without any additional units,and achieve load shedding and valley filling to improve system reliability.This paper mainly analyzes and researches the system reliability changes caused by DR in the application of intelligent distribution network,and puts forward that it is suitable for evaluating the comprehensive evaluation system and reliability calculation process of distribution network system under DR conditions.Considering the effect of distributed energy access and distribution network automation on DR,the purpose of this paper is to analyze the impact of implementing DR on the operation of smart distribution networks and establish the relationship between DR and system reliability indicators.Specific research content and achievements include the following aspects:(1)A method for evaluating distribution network reliability under demand load and dynamic load was proposed.The load curve clustering and Monte Carlo simulation method are used to calculate the distribution network reliability index by using the improved K-means clustering algorithm,and considering the role of load reduction and tie line load transfer in the calculation process.(2)A time-of-use(TOU)DR load model including load control was established.This model combines the two DR modes of electricity price and incentive measures,and therefore it is closer to the environment in which a variety of DR measures are actually applied.A DR optimization model was constructed to properly formulate the electricity price and incentive compensation value in the DR load model so that it can better reflect the DR peak shaving and valley filling effect.Using the distribution network reliability assessment algorithm under dynamic load to calculate the distribution network reliability index with different DR modes,the results show that the TOU electricity price model including load control is more reliable than the single DR measures.The reliability of the system used DR measures is much higher than that without response measures.(3)A system risk assessment system suitable for DR was proposed,the grid risk under DR was defined,and the DR risk model and calculation process were deduced.Then,the DR load model and the improved K-means clustering algorithm were used to calculate the distribution network risk under different DR patterns,and compared with the system risk with no DR measures.The simulation results show that the DR can balance the system risk and reduce the risk value at the peak of power consumption.The system risk under the two DR modes is lower than that under a single measure,and the system risk under different DR measures was quantitatively analyzed. |
PDF Full Text Request