基于仿射可调鲁棒优化的园区综合能源系统经济调度

施云辉; 郭创新; 丁筱

doi:10.12096/j.2096-4528.pgt.19139

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基于仿射可调鲁棒优化的园区综合能源系统经济调度

泛在电力物联网与综合能源系统关键技术 | 更新时间：2025-07-04

- 基于仿射可调鲁棒优化的园区综合能源系统经济调度
- Integrated Energy System Economic Dispatch Based on Affine Adjustable Robust Optimization
- 发电技术 2020年41卷第2期页码：118-125
- 作者机构：
  
  浙江大学电气工程学院, 浙江省杭州市 310027
- 作者简介：
  
  [ "施云辉(1994), 男, 博士研究生, 研究方向为综合能源系统优化运行, 11610016@zju.edu.cn" ]
  [ "郭创新(1969), 男, 博士, 教授, 博士生导师, 主要研究方向为智能调度及风险调度、智能信息处理技术及其在电力系统应用的研究, guochuangxin@zju.edu.cn" ]
  [ "丁筱(1997), 女, 硕士研究生, 研究方向为综合能源系统优化与运行, 401051634@qq.com" ]
- 基金信息：
  
  国家自然科学基金项目(51877190)
- DOI：10.12096/j.2096-4528.pgt.19139
  中图分类号： TM732
- 收稿：2019-09-21，
  
  纸质出版：2020-04-30
- 稿件说明：
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施云辉, 郭创新, 丁筱. 基于仿射可调鲁棒优化的园区综合能源系统经济调度[J]. 发电技术, 2020,41(2):118-125.

Yunhui SHI, Chuangxin GUO, Xiao DING. Integrated Energy System Economic Dispatch Based on Affine Adjustable Robust Optimization[J]. Power Generation Technology, 2020, 41(2): 118-125.
施云辉, 郭创新, 丁筱. 基于仿射可调鲁棒优化的园区综合能源系统经济调度[J]. 发电技术, 2020,41(2):118-125. DOI： 10.12096/j.2096-4528.pgt.19139.

Yunhui SHI, Chuangxin GUO, Xiao DING. Integrated Energy System Economic Dispatch Based on Affine Adjustable Robust Optimization[J]. Power Generation Technology, 2020, 41(2): 118-125. DOI： 10.12096/j.2096-4528.pgt.19139.

摘要

新能源和负荷的不确定性给综合能源系统（integrated energy system，IES）运行带来挑战。首先，基于线性形式的能源集线器模型，对园区IES进行了建模。其次，构建了基于仿射可调鲁棒优化的园区IES两阶段经济调度模型，通过该模型可求得机组的启停及基准出力，以满足不考虑可再生能源出力的能量平衡要求，并求得机组的参与因子，使得调度方案对可再生能源出力不确定集下的任意场景均可行。最后，将该模型转化为混合整数线性规划模型（mixed integer linear programming，MILP）进行求解。算例分析结果表明：通过可调鲁棒优化的经济调度方法所求得的调度方案较经典鲁棒优化有更好的经济性与鲁棒性。

Abstract

Uncertainties in renewable energy and loads bring challenges to the operation of integrated energy system (IES). Firstly

the general model of the industrial park's IES was established based on the linear energy hub. Then a two-stage economic dispatch model of the industrial park's IES based on the affine adjustable robust optimization was constructed. In this model

the on-off state and base power output of units were calculated to satisfy the energy balance regardless of the renewable energy output

and participation factors were obtained to ensure a feasible solution for all scenarios under the uncertainty set of the renewable energy output. Finally

the model was transformed into a mixed integer linear programming (MILP) model. The case study shows that the proposed dispatch method provides a more economical and practical scheme than the classical robust optimization.

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references

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