Integrated Electricity Tariff-based Demand Response at Multi-time Scales Based on Multi-granularity Flexible Load Features

LI Yunzhi; LIU Jizhen; LI Jie; HU Yang

doi:10.19725/j.cnki.1007-2322.2024.0184

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Integrated Electricity Tariff-based Demand Response at Multi-time Scales Based on Multi-granularity Flexible Load Features

更新时间：2026-10-19

- Integrated Electricity Tariff-based Demand Response at Multi-time Scales Based on Multi-granularity Flexible Load Features
- Vol. 43, Issue 5, Pages: 906-918(2026)
- 作者机构：
  
  华北电力大学控制与计算机工程学院, 北京市昌平区,102206
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2024.0184
  CLC： 5
- Published：2026
- 稿件说明：
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LI Yunzhi, LIU Jizhen, LI Jie, et al. Integrated Electricity Tariff-based Demand Response at Multi-time Scales Based on Multi-granularity Flexible Load Features[J]. 2026, 43(5): 906-918.
DOI：

LI Yunzhi, LIU Jizhen, LI Jie, et al. Integrated Electricity Tariff-based Demand Response at Multi-time Scales Based on Multi-granularity Flexible Load Features[J]. 2026, 43(5): 906-918. DOI： 10.19725/j.cnki.1007-2322.2024.0184.

摘要

随着新型电力系统中可再生能源比例的不断提升，单一电价机制已难以满足系统的灵活性需求。为了充分挖掘电力柔性负荷资源，提出一种多时间尺度混合电价机制。该机制融合容需电价、分时电价、尖峰电价等定价策略，通过电价信号在多时间尺度上引导和鼓励用户调整用电行为。首先，通过时域分析提取用户负荷在不同时间尺度上的变化规律、分布情况及响应特性，评估响应潜力。随后引入多粒度建模思想，根据柔性负荷的容量规模和响应精度划分粒度层级并建立多粒度响应模型。最后，构建季节、日前、日内尺度混合电价优化框架，分别建立两部制电价、阶梯分时电价、尖峰电价和直接控制优化模型，开展电力需求响应。仿真结果表明，该机制能够促进用户负荷在多个时间尺度上转移，在改善负荷曲线、降低用电成本、缓解电网压力等方面表现出显著优势，也为电力市场精细化电价设计提供依据。

Abstract

The increasing proportion of renewable energy in new power systems makes a singular electricity tariff mechanism no longer sufficient to meet the flexibility demands of these systems. A multi-time scale integrated electricity tariff mechanism is proposed to fully exploit the potential of flexible load resources. It combines various pricing strategies

including two-part tariff

time-of-use tariff

and critical peak tariff

aiming to guide and encourage consumers to adjust their electricity consumption behavior across multiple time scales through targeted tariff signals. Firstly

the time-domain analysis is utilized to extract the variation regulation

distribution

response characteristics on the demand side at various time scales

thereby assessing the response potential.Subsequently

the concept of multi-granularity modeling is introduced

which involves dividing the granularity level according to the capacity and response accuracy of flexible loads and establishing a multi-granularity response model. Finally

the optimization models of two-part tariff

stepwise time-of-use tariff

critical peak tariff and direct load control are established respectively

aiming to facilitate demand response within an integrated electricity tariff optimization framework at seasonal

day-ahead

and intraday scales. The simulation results indicate that the proposed mechanism effectively promotes the transfer of load resources across different time scales

thereby offering significant advantages in enhancing power load curve

reducing electricity bills

and alleviating grid pressure. The results also provide a theoretical foundation for the refined pricing design of the electricity market.

关键词

Keywords

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