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基于需求侧响应的“光储直柔”能源系统仿真研究

Simulation of PEDF Energy System Based on Demand-side Response
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摘要 “光储直柔”技术是实现我国能源转型的重要途径,当前该技术仍面临电网负荷峰谷差所带来的用电风险,需求侧响应可以有效平抑峰谷差,但与此同时也给“光储直柔”能源系统带来了不稳定性因素。为了探究不同需求侧响应的柔性用电策略对于“光储直柔”能源系统的稳定性影响,通过Matlab/Simulink仿真平台建立了“光储直柔”能源系统动态仿真模型,以某办公建筑的用能需求为实例,对该能源系统模型在不同阶跃负荷的扰动下母线电压的偏差变化进行了研究。结果表明,基于Simulink的仿真系统可以很好地适用于“光储直柔”能源系统性能预测,在余电上网以及电网供电两种状态下,负荷阶跃变化量的极限值分别为13.5 kW和13.7 kW。 PEDF technology,covering Photovoltaic,Energy storage,Direct current and Flexibility,is an important way to achieve China’s energy transformation.Currently,PEDF technology still encounters the risk of electricity consumption caused by differences between peak load and valley load in the power grid.Peak and valley differences can be effectively alleviated by demand-side response,but at the same time,instability factors will be brought to the PEDF energy system.In order to explore the influence of flexible power consumption strategies with different demand-side responses on the stability of PEDF energy systems,a dynamic simulation model of PEDF energy system was established through the Matlab/Simulink simulation platform.Taking the energy demand of an office building as an example,the bus voltage deviation changes of this microgrid model under the disturbance of different step loads were studied.The results show that the simulation system based on Simulink can be well adapted to the performance prediction of the PEDF energy system.In the two states of surplus electricity to the internet and grid power supply,the load step change limit values are 13.5 kW and 13.7 kW respectively.
作者 蒋泽智 梁利霞 王建奎 JIANG Zezhi;LIANG Lixia;WANG Jiankui(Zhejiang Engineering Research Center of Green and Low Carbon Technologies in Buildings,Zhejiang Academy of Building Research and Design Co.,Ltd.,Hangzhou 310012,China)
出处 《建筑节能(中英文)》 CAS 2024年第11期91-97,140,共8页 Building Energy Efficiency
基金 浙江省科学技术厅“尖兵”“领雁”研发攻关计划项目“低碳建筑关键技术与装备研发”(2023C03153)。
关键词 需求响应 阶跃负荷 光储直柔 SIMULINK 系统仿真 demand response step load PEDF(Photovoltaic,Energy storage,Direct current and Flexibility) Simulink system simulation
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