| 基于多时间尺度综合需求响应策略的综合能源系统优化运行 |
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| 引用本文： | 刘至纯,李华强,王俊翔,陆杨,游祥,何永祥. 基于多时间尺度综合需求响应策略的综合能源系统优化运行[J]. 电力建设, 2000, 43(9): 54-65. DOI: 10.12204/j.issn.1000-7229.2022.09.006 |
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| 作者姓名： | 刘至纯 李华强 王俊翔 陆杨 游祥 何永祥 |
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| 作者单位： | 1.智能电网四川省重点实验室(四川大学), 成都市610065;2.国网山东省电力公司东营供电公司, 山东省东营市257091;3.国网四川省电力公司遂宁供电公司, 四川省遂宁市629000 |
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| 基金项目： | 四川省科技计划资助项目(2021YFSY0019) |
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| 摘 要： | 为充分挖掘各类型综合需求响应(integrated demand response,IDR)参与协调综合能源系统(integrated energy system,IES)优化运行能力,首先分析IDR多时间尺度特性,建立各类型IDR模型并制定了IDR多时间尺度响应策略;然后基于此策略建立以经济性最优为目标的IES多时间尺度优化运行模型:该模型分为日前-日内上层-日内下层三个阶段,在日前阶段制定经济性最优的日前调度计划,在日内阶段划分长、短两个时间尺度分别对冷/热、电/气相关设备出力进行分层管理;最后算例分析表明,所提模型能够有效降低运行成本,充分发挥不同响应能力的设备参与日内调度的潜力。
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| 关 键 词： | 综合能源系统 综合需求响应 多时间尺度 优化运行 |
| 收稿时间： | 2021-10-29 |
Optimal Operation of Integrated Energy System Based on Multi-time Scale Integrated Demand Response Strategy |
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| LIU Zhichun,LI Huaqiang,WANG Junxiang,LU Yang,YOU Xiang,HE Yongxiang. Optimal Operation of Integrated Energy System Based on Multi-time Scale Integrated Demand Response Strategy[J]. Electric Power Construction, 2000, 43(9): 54-65. DOI: 10.12204/j.issn.1000-7229.2022.09.006 |
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| Authors: | LIU Zhichun LI Huaqiang WANG Junxiang LU Yang YOU Xiang HE Yongxiang |
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| Affiliation: | 1. Key Laboratory of Intelligent Electric Power Grid of Sichuan Province (Sichuan University), Chengdu 610065, China;2. Dongying Power Supply Company, State Grid Shandong Electric Power Company, Dongying 257091, Shandong Province, China;3. Suining Power Supply Company, State Grid Sichuan Electric Power Company, Suining 629000, Sichuan Province, China |
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| Abstract: | In order to fully explore the ability of various types of integrated demand response (IDR) to participate in the coordination of integrated energy system (IES) optimal operation, this paper firstly analyzes the multi-time scale characteristics of IDR, establishes various types of IDR models and formulates multi-time scale response strategy of IDR. Then, on the basis of the strategy, a multi-time scale optimization operation model of IES aimed at economic optimization is established. The model is divided into three stages: day-ahead, intra-day upper and intra-day lower stages. In the day-ahead stage, an economically optimal day-ahead scheduling plan is formulated. In the intra-day stage, the output of cooling/heat, electricity/gas related equipment is managed in different layers by dividing the long and short time scales. Finally, the analysis of a calculation example shows that the proposed model can effectively reduce the operating cost and give full play to the potential of equipment with different response capacities to participate in intra-day operation. |
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| Keywords: | integrated energy system integrated demand response multi-time scale optimal operation |
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