| 引用本文: | 崔鹏程,史俊祎,文福拴,孙磊,董朝阳,郑宇,张睿.计及综合需求侧响应的能量枢纽优化配置[J].电力自动化设备,2017,37(6): |
| CUI Pengcheng,SHI Junyi,WEN Fushuan,SUN Lei,DONG Zhaoyang,ZHENG Yu,ZHANG Rui.Optimal energy hub configuration considering integrated demand response[J].Electric Power Automation Equipment,2017,37(6): |
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| 摘要: |
| 能量枢纽是多能源系统的重要组成部分，可容纳多种形式能源的输入和多元化的负荷类型。优化配置能量枢纽的设备类型和容量是保证能量枢纽安全经济运行的基础。同时，需求侧响应机制和技术的不断发展对该优化配置问题提出了新的要求。在此背景下，首先概述了能量枢纽中各类设备的模型，并对冷热电负荷特性进行分析和分类建模。然后，基于典型日负荷轮廓，以初始安装成本、运行维护成本和能耗成本构成的年运行费用最低为优化目标，考虑综合需求侧响应及能量枢纽运行约束，建立了能量枢纽优化配置的0-1混合整数线性规划模型。算例结果表明，所构建的优化配置模型可显著降低能量枢纽的年运行费用。 |
| 关键词: 多能源系统 能量枢纽 优化配置 综合需求侧响应 冷热电负荷 |
| DOI：10.16081/j.issn.1006-6047.2017.06.014 |
| 分类号:TM72 |
| 基金项目:国家重点基础研究发展计划(973计划)资助项目(2013CB228202)；国家自然科学基金资助项目(51477151)；中国南方电网公司科技项目(WYKJ00000027) |
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| Optimal energy hub configuration considering integrated demand response |
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CUI Pengcheng1, SHI Junyi1, WEN Fushuan1,2, SUN Lei1, DONG Zhaoyang3, ZHENG Yu3, ZHANG Rui3
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1.School of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;2.Department of Electrical & Electronic Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan BE1410, Brunei;3.Electric Power Research Institute of China Southern Power Grid, Guangzhou 510080, China
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| Abstract: |
| Energy hub which accommodates various forms of energy source and different types of load is the important part of multi-energy system and the optimal configuration of the type and capacity of its devices is the basis for ensuring its safe and economic operation. Furthermore, the continuous development of demand response mechanism and technology imposes new requirements for this optimal configuration. Different device models of energy hub are introduced, the properties of cooling, heating and power loads are analyzed, and their models are built respectively. Based on the load curves of typical days, an 0-1 mixed-integer linear programming model is established, which considers the integrated demand response and the operating constraints of energy hub, and takes the minimum annual operational expense as its optimization objective, including installation cost, operation-maintenance cost and energy consumption cost. Case study demonstrates that, based on the proposed model, the annual operational expense of energy hub is significantly reduced. |
| Key words: multi-energy system energy hub optimal configuration integrated demand response cooling, heating and power loads |
