| 引用本文: | 董颖超,王 杰,蒋甲丁,等.基于MIGDT的工业园区综合能源系统鲁棒运行优化[J].电力系统保护与控制,2025,53(16):50-59.[点击复制] |
| DONG Yingchao,WANG Jie,JIANG Jiading,et al.Robust operation optimization of integrated energy system in industrial park based on MIGDT[J].Power System Protection and Control,2025,53(16):50-59[点击复制] |
|
| 摘要: |
| 需求响应和可再生能源接入给综合能源系统(integrated energy systems, IES)运行带来了诸多不确定性和灵活性，增加了系统运行优化的复杂度。为提高含可再生能源的IES运行经济性和可靠性，研究了集成装配制造系统的工业园区IES鲁棒运行问题。首先，深入分析了工业园区中集成装配制造系统的需求响应特性，构建了以系统运行成本最小化为目标的工业园区IES优化模型。其次，针对风光出力的不确定性，提出了一种基于多目标信息间隙决策理论(multi-objective information gap decision theory, MIGDT)的鲁棒双层运行模型，并设计了一种结合随机二分法与GUROBI求解器的双层求解算法。最后，通过算例对所提模型和不确定处理算法的有效性进行验证，并与确定性优化和随机优化方法进行对比，验证了所提模型和方法的有效性。 |
| 关键词: 综合能源系统 运行优化 需求响应 鲁棒优化 不确定性 |
| DOI：10.19783/j.cnki.pspc.241499 |
| 投稿时间：2024-11-09修订日期：2025-03-23 |
| 基金项目:国家自然科学基金项目资助(72361033，52266018)；新疆天山英才青年科技拔尖人才项目资助(2022TSYCCX0053) |
|
| Robust operation optimization of integrated energy system in industrial park based on MIGDT |
| DONG Yingchao1,2,WANG Jie1,JIANG Jiading1,YE Jiahao3 |
| (1. School of Energy Engineering, Xinjiang University of Engineering, Urumqi 830023, China; 2. Key Laboratory of Green
Hydrogen Production, Storage and Utilization Technology in Xinjiang (Xinjiang University of Engineering), Urumqi 830023,
China; 3. School of Physics and Electronic Engineering, Fuyang Normal University, Fuyang 236000, China) |
| Abstract: |
| The integration of demand response and renewable energy into the operation of integrated energy systems (IES) introduces significant uncertainties and flexibility, increasing the complexity of system operation optimization. To improve the economic efficiency and reliability of IES with renewable energy, this paper investigates the robust operation of IES in industrial parks featuring integrated assembly manufacturing systems. First, the demand response characteristics of such manufacturing systems are thoroughly analyzed, and an optimization model for the industrial park IES is constructed with the objective of minimizing system operating costs. Second, to address the uncertainty of wind and photovoltaic power outputs, a robust bi-level operation model based on multi-objective information gap decision theory (MIGDT) is proposed. A bi-level solution algorithm is designed by combining the stochastic bisection method with the GUROBI solver. Finally, the effectiveness of the proposed model and uncertainty-handling algorithm is verified through case studies. A comparative analysis with deterministic optimization and stochastic optimization methods validate the effectiveness of the proposed model and approach. |
| Key words: integrated energy system operation optimization demand response robust optimization uncertainty |
