Optimal guidance strategy for flexible load based on hybrid direct load control and time of use

Siyang Liu; Yuan Gao; Hejun Yang; Xinghua Xie; Yinghao Ma

doi:10.1016/j.gloei.2023.06.004

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Optimal guidance strategy for flexible load based on hybrid direct load control and time of use

Smart Grid | 更新时间：2026-10-08

- Optimal guidance strategy for flexible load based on hybrid direct load control and time of use
- Global Energy Interconnection Vol. 6, Issue 3, Pages: 297-307(2023)
- 作者机构：
  
  1. State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute,Beijing,PR China,100192
  2. Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology,Hefei,PR China,230009
- 作者简介：
- 基金信息：
- DOI：10.1016/j.gloei.2023.06.004
  CLC：
- Online First：27 June 2023，
  
  Published：27 June 2023
- 稿件说明：
移动端阅览
Siyang Liu, Yuan Gao, Hejun Yang, et al. Optimal guidance strategy for flexible load based on hybrid direct load control and time of use[J]. Global Energy Interconnection, 2023, 6(3): 297-307.
DOI：

Siyang Liu, Yuan Gao, Hejun Yang, et al. Optimal guidance strategy for flexible load based on hybrid direct load control and time of use[J]. Global Energy Interconnection, 2023, 6(3): 297-307. DOI： 10.1016/j.gloei.2023.06.004.

摘要

Abstract

The time-of-use (TOU) strategy can effectively improve the energy consumption mode of customers

reduce the peak-valley difference of load curve

and optimize the allocation of energy resources. This study presents an Optimal guidance mechanism of the flexible load based on strategies of direct load control and time-of-use. First

this study proposes a period partitioning model

which is based on a moving boundary technique with constraint factors

and the Dunn Validity Index (DVI) is used as the objective to solve the period partitioning. Second

a control strategy for the curtailable flexible load is investigated

and a TOU strategy is utilized for further modifying load curve. Third

a price demand response strategy for adjusting transferable load is proposed in this paper. Finally

through the case study analysis of typical daily flexible load curve

the efficiency and correctness of the proposed method and model are validated and proved.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal day-ahead scheduling strategy of microgrid considering regional pollution and potential load curtailment

Analysis of the impact of grid-forming doubly-fed induction generator parameter on transient stability and small-signal stability

Research on benefit coordination mechanism in renewable energy multi-energy complementary systems

Two-stage wind-solar-storage capacity allocation method research for active distribution network based on whale migrating algorithm

Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources

Related Author

Xinghua Xie

Bo Wang

Dabo Zhang

Yuming Shen

Related Institution

Hangzhou Science and Technology development branch, Zhejiang Dayou Industrial Co., Ltd.

Institute of Economy and Technology, State Grid Anhui Electric Power Co., Ltd.

AI问答

⁰