Design for configuration and operation optimization of hybrid solar and CCHP system based on bilevel optimization model

TAN Junyuan; WANG Xu; XU Ye; LI Wei; ZHENG Feifan

doi:10.19666/j.rlfd.202110198

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Design for configuration and operation optimization of hybrid solar and CCHP system based on bilevel optimization model

更新时间：2025-09-28

- Design for configuration and operation optimization of hybrid solar and CCHP system based on bilevel optimization model
- Thermal Power Generation Vol. 51, Issue 5, Pages: 1-8(2022)
- 作者机构：
  
  1. 华北电力大学环境科学与工程学院
  2. 华北电力大学核科学与工程学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.202110198
  CLC： TM61
- Published：2022
- 稿件说明：
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TAN Junyuan, WANG Xu, XU Ye, et al. Design for configuration and operation optimization of hybrid solar and CCHP system based on bilevel optimization model[J]. Thermal power generation, 2022, 51(5): 1-8.
DOI：

TAN Junyuan, WANG Xu, XU Ye, et al. Design for configuration and operation optimization of hybrid solar and CCHP system based on bilevel optimization model[J]. Thermal power generation, 2022, 51(5): 1-8. DOI： 10.19666/j.rlfd.202110198.

摘要

天然气冷热电联供系统作为环境友好型和资源节约型的能源形式广泛应用于建筑供能。为解决综合能源系统容量配置和运行方案割裂致使供能效果不佳的问题，在使用PVsyst软件估算光伏发电系统出力的基础上，构建耦合太阳能的冷热电联供系统双层优化模型，利用KKT条件将其转换为一般的单层模型进行求解，并以上海某酒店为例验证模型对建筑供能系统节能降耗的推动作用。结果表明：相较于“先配置优化后运行优化”模型和“先运行优化后配置优化”模型，双层模型在实现综合成本最低的前提下，提升了供能的灵活性和可靠性，显著增强了用户的用能体验。

Abstract

As an environment-friendly and resource-saving energy form

natural gas combined cooling

heating and power(CCHP) supply system is widely used in building energy supply. In order to solve the low reliability in energy supply of integrated energy system caused by the separation of equipment-capacity determination and operation optimization

in this study

based on predicted output of the photovoltaic system by aid of PVsyst software

a bi-level optimization model of hybrid solar and CCHP system is formulated. The KKT conditions are used to convert the proposed model to a general single-level optimization and generated optimal energy-supply pattern. Moreover

a hotel in Shanghai is taken as a case to verify the driving effect of the model on energy saving and consumption reduction of building energy supply system. The results show that

compared with two types of single-layer optimization models

namely the “configuration optimization before operation optimization” and the “operation optimization before configuration optimization”

the bi-level model improves the flexibility and reliability in energy supply and enhances energy-utilization experience of user on the premise of realizing the minimization of total system cost.

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