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面向区域能源服务商的智能楼宇需求侧响应优化策略
面向区域能源服务商的智能楼宇需求侧响应优化策略
Demand Response Optimization Strategy of Intelligent Buildings for Regional Energy Service Providers
Demand Response Optimization Strategy of Intelligent Buildings for Regional Energy Service Providers
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摘要： - 需求侧响应(demand response,DR)是提高可再生能源利用效率,实现未来电力系统双侧协调互动的重要途径,同时也是未来区域能源服务商为用户提供能源增值服务的重要手段.该文在对智能楼宇热力学特性建模的基础上,构建了面向区域能源服务商的智能楼宇(用户)DR优化模型.以冷藏仓库/写字楼用户为例,通过算例分析,将DR调用后的用户用能模式与初始用能模式进行比较,对上述模型的有效性进行验证.结果表明,该文提出的优化策略能够有效降低区域能源服务商的经营成本,提升分布式光伏的利用效率.
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Abstract： - Demand response (DR) is one of the important ways to improve the efficiency of renewable energy utilization,and to realize the bilateral interaction of future power system. At the same time,it is also an important means for future regional energy service providers to provide energy value-added services to users. This paper proposes the DR optimization model of intelligent buildings(users) for the regional energy service providers, based on the modeling of the thermodynamics characteristics of intelligent buildings. In the case study, the DR invoked mode and the original energy utilization mode are compared to verify the validity of the proposed model by taking cold storage warehouse/office for example. The results show that the proposed optimization strategy can effectively reduce the operating cost of regional energy service providers and improve the utilization efficiency of distributed photovoltaic (PV).
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谢珍建
[1]
胡卫利
[2]
谈健
[1]
肖晶
[3]
武赓
[4]
刘洋
[4]
曾鸣
[4]
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| Author： | XIE Zhenjian[1] HU Weili[2] TAN Jian[1] XIAO Jing[3] WU Geng[4] LIU Yang[4] ZENG Ming[4] |
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电力建设 ISTIC PKU |
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Electric Power Construction |
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2018, 39(3) |
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TM73 |
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需求侧响应(DR)
可再生能源
热力学特性模型
分布式发电
遗传算法
综合能源系统
区域能源服务商
智能楼宇
新一代电力系统
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demand response renewable energy thermodynamic characteristics model distributed generation GA algorithm regional energy service providers intelligent buildings future power system |
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