Day-ahead optimal operation strategy for integrated energy service provider considering uncertainties

刘皓明; 陈 锴; 杨志豪

doi:10.3969/j.issn.1009-1831.2024.01.012

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Day-ahead optimal operation strategy for integrated energy service provider considering uncertainties

更新时间：2026-03-05

- Day-ahead optimal operation strategy for integrated energy service provider considering uncertainties
- Vol. 26, Issue 1, (2024)
- 作者机构：
  
  河海大学能源与电气学院,南京,211100
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2024.01.012
  CLC：
- Published：2024
- 稿件说明：
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刘皓明, 陈锴, 杨志豪. Day-ahead optimal operation strategy for integrated energy service provider considering uncertainties[J]. 2024, 26(1).
DOI：

刘皓明, 陈锴, 杨志豪. Day-ahead optimal operation strategy for integrated energy service provider considering uncertainties[J]. 2024, 26(1). DOI： 10.3969/j.issn.1009-1831.2024.01.012.

摘要

综合能源供应商作为多能源供应主体，可以参与市场化交易。为探索综合能源供应商在电力市场环境下新的盈利点，构建了考虑需求响应的多主体互动机制，并充分考虑光伏出力、多元用能需求、市场电价以及需求响应资源潜力的不确定性，采用区间优化方法构建了表征综合能源供应商日前运行优化问题的混合整数线性规划模型，得到综合能源供应商的购能、设备运行以及需求响应资源调用等策略。算例验证结果表明，需求响应机制可以有效降低购电成本，增加综合能源供应商的运行收益。

Abstract

Integrated energy service provider

as a multi-energy supply entity

can participate in market transactions. To explore new profit sources for integrated energy service provider in the electricity market environment

a multi-agent interactive mechanism considering demand response has been constructed. This mechanism takes into account the uncertainties of photovoltaic output

diverse energy demand power

market electricity price

and demand response resource potential. By employing interval optimization methods

a mixed-integer linear programming model is developed to represent the day-ahead operational optimization problem for integrated energy service provider

yielding strategies for energy procurement

equipment operation

and demand response resource utilization. Case studies are verified that demand response mechanism can effectively reduce purchased cost and increase the operational revenue of integrated energy service provider.

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