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作 者:王永利[1] 郭璐 周泯含 孙亚领 刘琳[1] 黄菲菲 WANG Yongli;GUO Lu;ZHOU Minhan;SUN Yaling;LIU Lin;HUANG Feifei(College of Economics and Management,North China Electric Power University,Beijing 102206,China)
机构地区:[1]华北电力大学经济与管理学院,北京102206
出 处:《电力需求侧管理》2020年第5期38-44,57,共8页Power Demand Side Management
基 金:河北省重点研发项目(192161090);国家电网公司科技项目(SGHEJY00JJJS1900017)。
摘 要:现有的综合能源系统规划研究缺乏对投资定额约束的考虑,且以总运行成本最低、碳排放量最低或能效最高等为单一目标的规划策略无法满足在投资定额下最佳的设备规划需求。基于此,建立了基于投资定额的综合能源系统规划模型,来解决定额投资下的设备最佳的容量配置问题。首先,建立了包含冷热电负荷的综合能源系统典型场景;其次,以年化等值综合成本、碳排放量以及综合能效为目标函数,并考虑能量平衡、设备出力、定额投资、能量交互、场景环境等多种约束条件建立规划模型;最后,通过NWSFA算法获取帕累托前沿解集,并利用VIKOP算法解得全局最佳配置方案。在定额投资下既满足负荷需求又能达到运行效果最优,实现经济性、环境性、社会性的3重效益。最后通过算例分析,验证文中所述模型与方法的有效性。Existing integrated energy system(IES)planning research lacks consideration of investment quota constraints.A single-target planning strategy with the lowest total operating cost,lowest carbon emissions,or highest energy efficiency cannot meet the best equipment planning needs under the investment quota.Based on this,a planning model of IES based on investment quota to solve the problem of optimal capacity allocation of equipment under fixed investment is established.Firstly,a typical scenario of IES including cooling,heating and power load is established.Secondly,the annualized equivalent comprehensive cost,carbon emissions,and comprehensive energy efficiency are the objectives,and various constraints are considered such as energy balance,equipment output,fixed investment,energy interaction,and scene environment to establish a planning model.Finally,the Pareto frontier solution set is obtained by NWSFA,and the global optimal configuration scheme is solved through VIKOP,which can meet the load demand and achieve the optimal operation effect under a fixed investment,to achieve triple benefits about economic,environmental and social.In the end,a numerical example is analyzed to verify the effectiveness of the models and methods described in the article.
关 键 词:定额投资 综合能源系统 规划优化 规划效益 VIKOR算法
分 类 号:TM73[电气工程—电力系统及自动化] TK01[动力工程及工程热物理]
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