A Reliability Evaluation Method for User Response under Incentive Demand Response

Abstract

The invention discloses a user response reliability evaluation method under the incentive type demand response, which is carried out as follows: 1. Obtain the historical power consumption data of residential users and the given power consumption load curve of the power grid; 2. Establish the user's response behavior Model, using the least squares method to calculate the user's response behavior model parameters; 3 formulate the reliability index of a single user response, and use the principal component analysis method to standardize the reliability index of a single user response; 4 combine the user's overall response behavior model and response reliability performance index, predict the user load curve of the next response, and calculate the reliability of user response. The present invention establishes a user response behavior model under the incentive policy by studying the influence of different incentives on user response, and solves the response behavior model parameters according to historical data, thereby evaluating the user response results, and then provides a demand response policy for the power grid. Provide basis and reference.

Description

technical field [0001] The invention relates to the field of response reliability evaluation, in particular to user response load forecasting and response reliability evaluation methods. Background technique [0002] With the development of the economy, the electricity consumption of users continues to grow, and the increase in electricity demand promotes the reform of the power system; electricity demand response enables users to actively change their original electricity consumption habits through electricity price signals or incentive policies, so as to improve The load curve serves the purpose of shaving peaks and filling valleys. At present, Jiangsu Power Grid has carried out demand response work in the demonstration area, sending response signals to users through load integrators, and obtaining users' electricity consumption data by installing smart meters. [0003] For the user's response behavior, some scholars at home and abroad have studied it. The main methods ar...

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Problems solved by technology

The price elasticity matrix and based on the principle of consumer psychology are to study the user's response behavior model under the time-of-use electricity price, and change the user's electricity consumption mode by changing the electricity price, but the time-of-use electricity price is not suitable for domestic demand response policies, based on statistical principles Need to get enough historical response load data

In addition, after implementing the demand response policy, it is necessary to evaluate the response results. At present, there are few researches on response reliability and related response reliability indicators at home and abroad. Therefore, it is necessary to study user response behavior and response reliability.

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