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计及电-热综合需求侧响应的热电联产机组优化配置研究 被引量:5

Multi-objective Sequential CHP Placement Based on Flexible Demand in Heat and Electricity Integrated Energy System
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摘要 为提高总体用能效率,构建综合能源系统是能源领域的重要发展趋势之一。在能源互联网中,综合需求响应利用电、热等不同形式能源间的耦合互补关系,在需求侧进行能源转换设备的协同优化,激发综合能源网络的灵活性,有利于提升能源利用效率,降低供能和用能成本。为此,提出一种计及电-热综合需求侧响应的热电联产(combined heat and power,CHP)机组优化配置方案,以电压幅值、综合网损及经济成本作为综合优化目标,运用次序配置策略,采用电-热直接潮流法、加权求和法和改进遗传算法求解上述问题。最后,通过对澳大利亚真实中压配电网进行仿真,验证了模型的合理性与有效性。 In order to improve the overall energy efficiency,one of the important trends in the field of energy is the construction of integrated energy systems.In the energy internet,the comprehensive demand response makes use of the coupling and complementary relationship between different forms of energy,such as electricity and heat,and carries out the coordinated optimization of energy conversion equipment on the demand side to stimulate the flexibility of the comprehensive energy network,which is conducive to improving energy utilization efficiency and reducing energy supply and consumption cost.In this paper,considering the comprehensive demand side response of electricity and heat,an optimal configuration scheme of combined heat and power(CHP)unit is proposed.The scheme takes voltage amplitude,integrated network loss and economic cost as the comprehensive optimization objective.In order to effectively solve the above problems,this paper applies the sequence configuration strategy,adopts the direct power-thermal power flow method,weighted summation method and improved genetic algorithm to solve the above problems.Finally,the simulation of real medium voltage distribution network in Australia has been carried out,which verifies the rationality and effectiveness of the model.
作者 周晓鸣 丁一 邵常政 徐晓帅 ZHOU Xiaoming;DING Yi;SHAO Changzheng;XU Xiaoshuai(College of Electrical Engineering,Zhejiang University,Hangzhou 310027,Zhejiang Province,China;State Grid Ningbo Power Supply Company,Ningbo 315000,Zhejiang Province,China)
出处 《全球能源互联网》 2019年第3期248-254,共7页 Journal of Global Energy Interconnection
基金 国家重点研发计划(2016YFB0901103)~~
关键词 CHP机组 需求侧响应 能源配置 遗传算法 CHP unit demand response integrated energy dispatch genetic algorithm
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