考虑降压节能和光伏误差三维特性的主动配电网多时间尺度优化调度OA北大核心CSTPCD

The decentralized and random characteristics of high-proportion distributed photovoltaics aggravate the uncertainty of power flow distribution,which makes the safe and economic operation of the distribution system face severe challenges.In this paper,a multi-time scale optimization scheduling method for active distribution network considering the three-dimensional characteristics of conservation voltage reduction and distributed photovoltaic prediction error is proposed.Firstly,the sensitivity relationship between load power and feeder voltage is analyzed,and a comprehensive load modeling method based on step-down energy-saving regulation method is proposed.Then,from the perspective of time-space-power,a three-dimensional analysis model of distributed photovoltaic prediction error is established to provide more accurate error analysis results for scheduling.Finally,based on the conservation voltage reduction method and the three-dimensional analysis model of prediction error,a multi-timescale optimal scheduling model of active distribution network that can effectively coordinate the slow adjustment resources and the rapid response resources is constructed.Finally,taking the improved IEEE 33-node system as an example for analysis,the case study shows that the proposed error modeling method has a good following effect on photovoltaic power,and the optimized scheduling strategy based on this model can reduce the influence of error randomness on scheduling decision-making and improve the safety and economy of distribution system operation.