Method for constructing demand response scheduling evaluation system of simulated peak-shaving unit

Abstract

The invention discloses a method for constructing a demand response scheduling evaluation system of a simulated peak-shaving unit. The method comprises: determining demand response scheduling evaluation time; taking the simulated peak-shaving unit as a target, and constructing the three-layer demand response scheduling evaluation system of the simulated peak-shaving unit from time dimension, capacity dimension and object dimension, wherein a first layer is a totality index, a second layer is a generality index, and a third layer is a specificity index; taking an ideal peak-shaving curve as an evaluation target, and constructing the demand response scheduling evaluation system of the simulated peak-shaving unit; and performing analysis on an index system with an evaluation method of an attribute interval recognition theory, and performing scheduling evaluation calculation. The demand response scheduling evaluation system of the simulated peak-shaving unit, constructed with the method, has comprehensiveness, independence, easy measurement property, flexibility and practicality, is helpful for more visually understanding a demand response scheduling result and a user response state in power grid scheduling, and provides a scientific and accurate basis for implementing demand response and settlement.

Description

technical field [0001] The invention relates to a method for constructing a demand response scheduling evaluation system for a simulated peak-shaving unit, and belongs to the technical field of electric power systems. Background technique [0002] Under the double influence of the contradiction between power supply and demand, the cost of traditional peaking units, and the limitation of environment and resources, load dispatching is becoming a new element of power grid dispatching. Compared with conventional power generation resources, demand response resources have certain advantages in participating in power grid operation control. For example, when conditions permit, demand response resources can quickly respond to scheduling and control instructions, and the capacity of demand response resources after aggregation is adjustable and flexible; at the same time , due to the scattered distribution of demand response resources, it can be optimized and aggregated from the netwo...

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Problems solved by technology

[0003] Demand response resources have the characteristics of strong uncertainty, scattered resources, small virtual power generation capacity, and weak readjustment ability. After aggregation, within the scheduling time, there may be users who suddenly withdraw from demand response, or do not participate in demand response, or The degree of participation does not meet the pre-requirements, etc., which may cause fluctuations in dispatching capacity, affect the confidence level of simulated peak-shaving units, and bring certain pressure to peak-shaving dispatching

Therefore, in ideal scheduling, demand response resources cannot be overestimated or underestimated. Overestimation will lead to more traditional standby units participating in dispatching, thereby increasing dispatching costs; underestimation will fail to make full use of demand response resources. It is difficult to realize the original intention of demand response resources

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