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基于中央空调虚拟储能模型的调峰策略研究
引用本文:郭旭歆,高赐威,王朝亮,李 磊,刘 炜.基于中央空调虚拟储能模型的调峰策略研究[J].电力需求侧管理,2022,24(4):42-46.
作者姓名:郭旭歆  高赐威  王朝亮  李 磊  刘 炜
作者单位:东南大学 电气工程学院,南京 210096;国网浙江省电力有限公司,杭州 311100
基金项目:国家电网有限公司科技项目(5400-202019491A-0-0-00)。
摘    要:中央空调负荷已成为高峰负荷的主要组成部分,利用中央空调缓解电网高峰负荷已经成为一种有效手段。首先分析中央空调系统,结合中央空调的启停控制和柔性控制建立了调控方式,并结合室内热过程模型分析了中央空调的调控潜力。获取虚拟充放电功率、虚拟储能电量、虚拟储能荷电状态参数,并通过虚拟储能充放电效率参数描述不同控制方式下的差异,将中央空调模型转化为虚拟储能模型。基于虚拟储能模型,以削减的负荷量尽量靠近计划削减负荷为目标,提出了虚拟储能群组削峰策略,并通过算例验证了该削峰策略的效果。

关 键 词:中央空调  群组削峰策略  柔性控制  虚拟储能模型
收稿时间:2022/4/18 0:00:00
修稿时间:2022/5/20 0:00:00

Peak adjustment strategy based on central air conditioning virtual energy storage model
GUO Xuxin,GAO Ciwei,WANG Chaoliang,LI Lei,LIU Wei.Peak adjustment strategy based on central air conditioning virtual energy storage model[J].Power Demand Side Management,2022,24(4):42-46.
Authors:GUO Xuxin  GAO Ciwei  WANG Chaoliang  LI Lei  LIU Wei
Affiliation:School of Electrical Engineering, Southeast University, Nanjing 210096, China;State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311100, China
Abstract:Central air conditioning load has become the main component of peak load, alleviating peak load by central air conditioning has become an effective mean. Firstly, the central air conditioning system is analyzed, the control mode combining with the start-stop control and flexible control of the central air conditioning is established, and the potential of the central air conditioning is analyzed combined with the indoor thermal process model. The parameters of virtual charge- discharge power, virtual energy storage capacity and virtual energy storage state are obtained. The differences between different control modes are described by virtual energy storage charge-discharge efficiency, and the central air conditioning model is transferred to virtual energy storage model.Based on the virtual energy storage model, a peak adjustment strategy for virtual energy storage group is proposed to reduce the peak load as far as possible to the planned load reduction. The simulation results verify the effectiveness of the peak adjustment strategy.
Keywords:
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