Research on the assessment of temperature control loads potential and bidding strategy based on human exergy analysis

孟诗语; 史文博; 邹风华; 曹 骏; 陈爱康; 王 淞

doi:10.3969/j.issn.1009-1831.2024.04.009

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Research on the assessment of temperature control loads potential and bidding strategy based on human exergy analysis

更新时间：2026-03-05

- Research on the assessment of temperature control loads potential and bidding strategy based on human exergy analysis
- Vol. 26, Issue 4, (2024)
- 作者机构：
  
  1. 国网（苏州）城市能源研究院有限责任公司,江苏,苏州,215163
  2. 国网江苏省电力有限公司苏州供电分公司,江苏,苏州,215200
  3. 东南大学,南京,210096
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2024.04.009
  CLC：
- Published：2024
- 稿件说明：
移动端阅览
孟诗语, 史文博, 邹风华, et al. Research on the assessment of temperature control loads potential and bidding strategy based on human exergy analysis[J]. 2024, 26(4).
DOI：

孟诗语, 史文博, 邹风华, et al. Research on the assessment of temperature control loads potential and bidding strategy based on human exergy analysis[J]. 2024, 26(4). DOI： 10.3969/j.issn.1009-1831.2024.04.009.

摘要

温控负荷一般需要进行潜力分析与聚合调控

但现有对温控负荷直接管控的调度模式影响用户的使用隐私。提出一种基于?分析的温控负荷潜力评估与竞价策略研究。首先

通过?分析得到人体的热舒适温度区间以精确评估居民温控负荷的调峰能力区间

进而确定居民温控负荷的响应能力；然后

考虑以虚拟电厂作为调控多个温控负荷的主体；基于温控负荷用户的效用函数得到价格-功率竞价曲线

提交用户侧温控负荷响应调节能力信息。最后

VPP接收多个用户的竞价曲线后

以虚拟电厂收益最大化为优化目标

以收购电价为决策变量

获取温控负荷的优化调度策略。仿真结果验证了基于?分析的温控负荷潜力评估与竞价策略研究的有效性。

Abstract

The potential analysis and aggregate control of temperature control loads are generally required

but the existing schedulingmode of direct control of temperature control load affects the user’s privacy. exergy analysis based on exergy power plant peak load poten?tial assessment and regulation strategy is proposed. Firstly

exergy analysis shows that exergy comfort temperature range of human bodycan be accurately evaluated to determine the peak load capacity range of residential TCLs

and then determine the response capability ofresidential TCLs. Then

virtual power plant is considered as the main body for regulating multiple TCLs. Based on the utility function ofthe TCLs user

the price-power bidding curve is obtained

and the response adjustment capability information is submitted. Finally

afterreceiving the bidding curves of multiple users

VPP takes the revenue maximization as the optimization goal and the purchase price as thedecision variable to obtain the optimal scheduling strategy of VPP. Exergy simulation results verify the effectiveness of exergy peak-loadpotential assessment and regulation strategy for a virtual power plant based on exergy analysis.

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