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作 者:钟嘉庆[1] 靳国臣 张晓辉[1] 赵腾飞 高会芳[1]
机构地区:[1]电力电子节能与传动控制河北省重点实验室燕山大学,河北秦皇岛066004
出 处:《电工电能新技术》2017年第12期22-29,共8页Advanced Technology of Electrical Engineering and Energy
基 金:国家自然科学基金项目(61374098);教育部高等学校博士学科点专项科研基金项目(20131333110017)
摘 要:在低碳经济背景下,新能源机组及碳交易机制的引入成为电力系统实现低碳减排重要的方法。同时,由于需求侧资源在降低系统碳排放量和增加系统可靠性方面有较大潜力,为此,将需求侧的能效电厂加入到规划方案中,建立了包含系统经济性及可靠性的低碳电源规划模型,目标函数中计及了机组建设成本、能效电厂建设成本、机组运行成本、碳交易成本,并将可靠性约束条件加入到模型中。采用离散细菌群体趋药性算法对所建模型进行求解,对两种电源规划模型进行了对比,并在不同碳排放限额、不同电量不足期望值限额两种情况下进行了灵敏度分析,仿真结果验证了模型和算法的有效性。Under the background of low carbon economy,the introduction of renewable energy unit and carbon emissions trading scheme has become an important method to realize carbon emission reduction in electric power system. At the same time,due to the demand side resources has great potential in reducing carbon emissions and increasing the reliability of the system,the efficiency power plant of demand side is added to the generation planning scheme. A generation expansion planning( GEP) model in low-carbon environment in which the economy and reliability are considered is established. Units investment costs,efficiency power plant construction costs,operating costs and carbon trading costs are considered in the objective function. In addition,this paper also introduces the power supply reliability constraint in the model. An algorithm based on the discrete bacterial colony chemotaxis algorithm was used to solve the problem,and two generation expansion planning models are compared. Under the two conditions,namely the different amount of carbon dioxide emissions and the different limit of expected energy being not supplied,the sensitivity analyses are carried out. The simulation results verify the validity of the model and algorithm.
关 键 词:电源规划 能效电厂 新能源机组 可靠性 离散细菌群体趋药性算法
分 类 号:TM715[电气工程—电力系统及自动化]
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