含能效电厂的输电网不确定性规划方法
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摘要
在全球能源互联网背景下,负荷不断增加、能源消耗增多、环境污染严重给输电网规划带来诸多挑战。为此,在输电网规划中引入能效电厂,建立含能效电厂的多阶段输电网不确定性二层规划模型,其上层模型以总投资成本最小为目标函数,下层模型以N、N-1运行条件下的切负荷量最小为目标函数,就可保证上层模型所得最优规划方案的可靠性。结合改进小生境遗传算法和原始—对偶内点法两种算法的优点对所提模型进行求解,进而得到规划的最优结果。以IEEE-RTS 24节点系统为例,验证了所提方法的有效性和实用性。
Under the background of the global energy internet,increasing load,increasing energy consumption and serious environmental pollution bring many challenges to the transmission network planning.Therefor,the efficiency power plant was introduced into the transmission network planning,and a multi-stage uncertainty bi-level planning model for transmission networks with efficient power plants was established.The upper level model took the minimum total investment cost as the objective function,and the lower model took the minimum load shedding as the objective function under N and N-1 operating conditions.Thus,the reliability of the optimal planning scheme obtained by the upper model could be guaranteed.Combining the advantages of the improved niche genetic algorithm(INGA)and the primal-dual interior point method(PDIPM),the model was solved to obtain the optimal result of the planning.Taking IEEE-RTS 24 bus system as an example,the effectiveness and practicality of the proposed method were verified.
Under the background of the global energy internet,increasing load,increasing energy consumption and serious environmental pollution bring many challenges to the transmission network planning.Therefor,the efficiency power plant was introduced into the transmission network planning,and a multi-stage uncertainty bi-level planning model for transmission networks with efficient power plants was established.The upper level model took the minimum total investment cost as the objective function,and the lower model took the minimum load shedding as the objective function under N and N-1 operating conditions.Thus,the reliability of the optimal planning scheme obtained by the upper model could be guaranteed.Combining the advantages of the improved niche genetic algorithm(INGA)and the primal-dual interior point method(PDIPM),the model was solved to obtain the optimal result of the planning.Taking IEEE-RTS 24 bus system as an example,the effectiveness and practicality of the proposed method were verified.
引文
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[2]熊卿府,高峰,王麒.能效电厂容量及出力曲线模型的研究[J].信息系统工程,2017(3):102-103.
[3]赵芃.考虑能效电厂的发电综合资源规划模型及应用[D].北京:北京交通大学,2015.
[4]范珊珊.德国虚拟电厂试验[J].能源,2016(7):52-55.
[5]杨黎晖,许昭,J.ΦSTERGAARD,et al.电动汽车在含大规模风电的丹麦电力系统中的应用[J].电力系统自动化,2011,35(14):43-47.
[6]季强,李强,宋宏坤,等.江苏省能效资源潜力及能效电厂研究[J].电力需求侧管理,2005(4):19-22.
[7]方燕琼,艾芊,范松丽.虚拟电厂研究综述[J].供用电,2016(4):8-13.
[8]黄慧,顾波.改进遗传算法在电网规划中的应用[J].电力系统保护与控制,2012,40(22):64-67,112.
[9]范宏.基于二层规划方法的输电网扩展规划研究[D].上海:上海交通大学,2008.
[10]范宏,程浩忠,金华征,等.考虑经济性可靠性的输电网二层规划模型及混合算法[J].中国电机工程学报,2008,28(16):1-7.
[11]Probability Methods Subcommittee.IEEE Reliability Test System-1996[J].IEEE Transactions on Power Apparatus and Systems,1999,14(3):1 010-1 020.
[12]付蓉,魏萍,万秋兰,等.市场环境下基于系统阻塞指标约束的多阶段输电网规划[J].继电器,2006,34(10):55-59,80.
[13]王一.电力市场环境下的多目标输电网优化规划方法研究[D].上海:上海交通大学,2008.