Abstract

The growth of energy consumption has led to the depletion of fossil energy and the increasing greenhouse effect. In this case, low carbonization has become an important trend in the world’s energy development, in which clean energy occupies an important position. The uncertainties brought by the large-scale integration of wind power, photovoltaic and other renewable energy sources into the grid pose a serious challenge to system dispatch. The participation of demand response (DR) resources can flexibly cooperate with renewable energy, optimizing system dispatch and promoting renewable energy consumption. Thus, we propose a flexible DR scheduling strategy based on multiple response modes in this paper. We first present a DR resource operation model based on multivariate response modes. Then, the uncertainties are considered and dealt with by scenario generation and reduction technology. Finally, a day-head dispatch strategy considering flexible DR operation and wind power uncertainties is established. The simulation results show that the proposed strategy promotes wind power consumption and reduces system operation costs.

Highlights

  • With the advancement of industrialization, energy supply and environmental protection issues have attracted more attention worldwide

  • The intermittent and uncertainty issues caused by the large-scale integration of clean energy resources have posed greater challenges to the safe and stable economic operation of China’s power systems, and the possibility that demand response (DR) resources participate in the dispatch process has attracted increasing attention due to the limited regulation capacity of the system

  • A DR resource operation decision model based on multiple response characterization of DR resources is formulated

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Summary

Introduction

With the advancement of industrialization, energy supply and environmental protection issues have attracted more attention worldwide. The intermittent and uncertainty issues caused by the large-scale integration of clean energy resources have posed greater challenges to the safe and stable economic operation of China’s power systems, and the possibility that DR resources participate in the dispatch process has attracted increasing attention due to the limited regulation capacity of the system. Jun [19] proposes a model for DR resources to replace some peaking units, which can reduce the peaking capacity demand with wind power connected and improve system operation efficiency. Kong [21] proposes a two-stage, low-carbon economic scheduling model considering the characteristics of wind, photovoltaic, thermal power units and demand response at different time scales, reducing the total system scheduling cost and ensuring contributors’ obligations to system operation.

Multiple Response Characterization and Modeling of DR Resources
Multi-Response Characteristics of DR Resources
DR Resource Scheduling Decision Model
Scenario Generation and Reduction Models Considering Wind Uncertainty
DR Resource Allocation Model Based on Multiple Response Modes
(1) Objective function
Example Analysis
Findings
Conclusions
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