现代电力2016，Vol.33Issue(6)：81-86,6.
基于随机分布与LSSVM算法的居民峰谷电价响应模型研究
Research on Responsive Behavior Model of Time-of-use Price for Residents Based on Random Distribution and LSSVM Algorithm
赵会茹 1王玉玮 1谭忠富 1舒艳 1张超1
作者信息
- 1. 华北电力大学经济与管理学院，北京 102206
- 折叠
摘要
Abstract
To obtain relative historical data and to meet the demand of discovering residential customers’ behavior rule when first designing time-of-use (TOU)price,a model of simulating the demand response behavior rule of residents under TOU price is proposed.Under a certain behavioral assumption of random distribution, the frequencies and probabilities of choosing TOU prices under a variety of given situations for residents in target area are counted through questionnaire designing and random sampling firstly.Sec-ondly, the input and output attributes of the model and training set are designed and determined in line with the questionnaire categories and statistical results.In the end, the response behavior prediction model is built by using least square support vector machine (LSSVM)regression algo-rithm based on information of the training set.This model can predict the average response results and standard devia-tions under any TOU price within a certain range to describe residential customers’behavior rule under TOU price when there is no historical data,which provides data support for researches in future.Accuracy,rationality and feasibility of the model are verified through case simulation.关键词
峰谷分时电价/居民用户/需求响应/随机分布/LSSVMKey words
time-of-use price/residential customers/demand response/random distribution/LSSVM分类
信息技术与安全科学引用本文复制引用
赵会茹,王玉玮,谭忠富,舒艳,张超..基于随机分布与LSSVM算法的居民峰谷电价响应模型研究[J].现代电力,2016,33(6):81-86,6.
