基于机会约束的主动配电网热泵日前调度模型及可解性转换

LI Zihao

您当前的位置：

首页 >

文章列表页 >

基于机会约束的主动配电网热泵日前调度模型及可解性转换

更新时间：2025-08-13

- 基于机会约束的主动配电网热泵日前调度模型及可解性转换
- Automation of Electric Power Systems Vol. 42, Issue 11, Pages: 24-31(2018)
- 作者机构：
  
  清华大学电机工程与应用电子技术系,北京市,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2018
- 稿件说明：
移动端阅览
LI Zihao. [J]. Automation of electric power systems, 2018, 42(11): 24-31.
DOI：

LI Zihao. [J]. Automation of electric power systems, 2018, 42(11): 24-31. DOI：

摘要

采暖热泵的大规模接入导致当地配电网需要大面积扩容改造，而采暖负荷日峰谷差大，因此设备利用率低。为了降低配电网扩容成本，提高设备利用率，需要研究有序用电策略。作为有序用电策略的重要组成环节，热泵日前调度决策面临很强的源荷预测不确定性。文中提出了一种基于机会约束的热泵日前调度模型，可以有效处理源荷不确定性。进一步将该机会约束模型转化为确定性混合整数二阶锥规划模型，可被有效求解。算例系统测试表明，该优化调度策略可在保证室内温度舒适度的前提下降低配电网和相关台区的峰谷差。

Abstract

The large-scale heat pump access leads to the need for large-scale expansion and transformation of local distribution network. Since the peak-valley difference of daily heating load is big

the utilization rate of the equipment is low. In order to reduce the cost of distribution network expansion and improve the utilization rate of equipment

the strategy for orderly power consumption needs to be studied. As an important part of the strategy for orderly power consumption

the decision-making of day-ahead heat pump scheduling is facing a strong uncertainty of source-load forecasting. This paper proposes a chance constrained model for the day-ahead heat pump scheduling

which can effectively handle those source-load uncertainties. Furthermore

the chance constrained model is transformed into a deterministic mixed-integer second-order cone programming model

so it can be efficiently solved. The example system test shows that the optimal scheduling strategy can reduce the peak-valley difference of distribution network and related courts under the premise of ensuring indoor temperature comfort.

关键词

Keywords

references

Views

2668

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

基于Minkowski Sum的热泵负荷调度灵活性聚合方法

Multi-agent Game Collaborative Optimization Strategy for Active Distribution Networks Based on Federated Reinforcement Learning

Chance-constrained Economic Dispatch Method Considering Fine-grained Response Actions of Automatic Generation Control

Coordinated Optimal Scheduling of Transmission and Distribution Networks Based on Multiple Agents and Improved Target Cascading Method

Related Author

YANG Wenwei

PENG Xiangang

QUAN Huan

CHU Zhuozhuo

WANG Xinghua

ZHAO Zhuoli

LEI Xingyu

YANG Linze

Related Institution

College of Automation, Guangdong University of Technology

School of Electric Power Engineering, South China University of Technology

State Key Laboratory of Power Transmission Equipment & System Security and New Technology(Chongqing University)

State Grid Chongqing Electric Power Research Institute

College of Electrical Engineering and Automation, Shandong University of Science and Technology

⁰