| 考虑电能共享的综合能源楼宇群日前协同优化调度 |
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| 引用本文： | 胡鹏,艾欣,杨昭,吴界辰,郭良松,李庆彪,张润恩.考虑电能共享的综合能源楼宇群日前协同优化调度[J].电力自动化设备,2019,39(8):239-245. |
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| 作者姓名： | 胡鹏 艾欣 杨昭 吴界辰 郭良松 李庆彪 张润恩 |
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| 作者单位： | 华北电力大学电气与电子工程学院,北京102206;国网乌鲁木齐县供电公司,新疆乌鲁木齐830012;华北电力大学电气与电子工程学院,北京,102206;国网乌鲁木齐县供电公司,新疆乌鲁木齐,830012 |
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| 基金项目： | 国家重点研发计划项目(2016YFB0900500)；北京市自然科学基金资助项目(3182037) |
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| 摘 要： | 首先提出了一种含高比例分布式能源的智能园区运行框架,针对综合能源楼宇内冷热电联供系统、电动汽车、温控负荷等资源建立了计及用户用能需求的量化模型。进一步,基于电能双向流动特性,建立园区内多综合能源楼宇群电能共享模型,并通过智能园区代理商制定园区的日前优化调度策略。通过算例仿真,验证了所提方法可通过协调内部综合能源需求侧资源,进行楼宇间电能共享,实现电能供需就近平衡,达到最小化园区调度成本的优化目标。最后,讨论了有无变压器容量限制下的园区与电网的功率交互情况,所提调度策略可通过增加变压器容量约束来避免变压器越限对电网安全运行的不利影响。
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| 关 键 词： | 分布式能源 综合能源楼宇群 电能共享 智能园区 日前优化调度 综合能源系统 |
Day-ahead optimal scheduling for cluster building with integrated energy system considering power sharing |
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| HU Peng,AI Xin,YANG Zhao,WU Jiechen,GUO Liangsong,LI Qingbiao and ZHANG Run''en.Day-ahead optimal scheduling for cluster building with integrated energy system considering power sharing[J].Electric Power Automation Equipment,2019,39(8):239-245. |
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| Authors: | HU Peng AI Xin YANG Zhao WU Jiechen GUO Liangsong LI Qingbiao and ZHANG Run'en |
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| Affiliation: | College of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China; State Grid Urumqi County Power Supply Company, Urumqi 830012, China,College of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China,College of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China,College of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China,State Grid Urumqi County Power Supply Company, Urumqi 830012, China,State Grid Urumqi County Power Supply Company, Urumqi 830012, China and State Grid Urumqi County Power Supply Company, Urumqi 830012, China |
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| Abstract: | HU Peng;AI Xin;YANG Zhao;WU Jiechen;GUO Liangsong;LI Qingbiao;ZHANG Run’en(College of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;State Grid Urumqi County Power Supply Company,Urumqi 830012,China) |
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| Keywords: | distributed energy resource cluster building with integrated energy system power sharing intelligent community day-ahead optimal scheduling integrated energy system |
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