Demand response implementation effect evaluation method capable of considering load secondary peak effect

Abstract

The invention discloses a demand response implementation effect evaluation method considering the secondary peak effect of load, which includes introducing a rebound average load and constructing a multi-level evaluation index system for the implementation effect of demand response; according to the constructed multi-level evaluation index system, through attribute intervals The identification method evaluates the implementation effect of user-side demand response; according to the evaluation results, the user-side demand allocation plan can promote the ideal response of users to a greater extent, improve load utilization, and enhance the safety margin of power grid operation during peak hours , with good prospects.

Description

technical field [0001] The invention relates to the technical field of electric power demand response, in particular to a method for evaluating the implementation effect of demand response considering the secondary peak effect of load. Background technique [0002] The core issue of power system operation is power balance, and power dispatching based on demand response is an important means to solve power balance in my country at present. At present, my country's demand response work is mainly based on administrative means, supplemented by economic means, and with necessary publicity and guidance means. The main measures include peak shifting, peak avoidance, power cuts, and switching (used in special cases) and other means. However, if the user actively optimizes the power consumption mode to meet the power limit requirements according to the power consumption demand, it may cause excessive load fluctuations, or reduce the peak value excessively, and affect the electricity ...

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Problems solved by technology

[0003] At present, in response to the shortcomings of the current implementation of demand response, relevant research has been carried out. Some scholars have used foreign quota systems and quota trading systems to propose a power trading plan suitable for my country's orderly electricity consumption; there are also time and space dimensions. , with the comprehensive goal of peak-shaving and valley-filling, reducing network loss and eliminating congestion, but its peak-shifting method is ideal and difficult to apply in practice; some studies are based on the typical load pattern of users to minimize the impact on the normal life of users. The main goal is to take into account the value of electricity consumption of users, and establish a multi-time-scale coordinated centralized decision-making model. However, because the typical form of users is biased towards theoretical research, engineering application is difficult. How to solve the above problems, is the current problem to be solved

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