基于改进层次分析法、CRITIC法与逼近理想解排序法的输电网规划方案综合评价
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摘要
针对进行输电网规划时难以量化各指标主观权重与客观权重的问题,提出了一种将改进层次分析法、基于指标相关性的指标权重确定(CRITIC)法和逼近理想解排序法(TOPSIS)相结合的输电网规划方案评价方法。该方法首先分别利用改进层次分析法与CRITIC法计算各指标的主观、客观权重,并将两权重结合得到综合权重;然后利用TOPSIS计算各规划方案与理想解的相对贴近度,以相对贴近度的大小为衡量标准,实现对规划方案的排序。这种综合考量主、客观权重的方法有效地利用了指标数据的客观信息,并充分考虑了实际电网规划中主观评判和决策的重要作用。以输电网规划常用的经典IEEE Garver-6节点系统为算例验证了所提评价方法的有效性。
Aiming at the problem that it is difficult to quantify the subjective and objective weights of each index in transmission network planning,an evaluation method of transmission network planning scheme which combines improved analytic hierarchy process,CRITIC(CRiteria Importance Through Intercriteria Correlation) method and TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) is proposed. Firstly,the subjective and objective weights of each index are calculated by the improved analytic hierarchy process and CRITIC method respectively and the comprehensive weights are obtained by combining the two weights. Then,the relative closeness coefficient between each planning scheme and the ideal solution is calculated by using TOPSIS,which is taken as the measurement standard to realize the sorting of planning schemes. This method that comprehensively considers the subjective and objective weights effectively utilizes the objective information of index data and takes full account of the important role of subjective evaluation and decision in the actual network planning. The effectiveness of the proposed evaluation method is verified by the typical IEEE Garver-6-bus system,which is commonly used in the transmission network planning.
Aiming at the problem that it is difficult to quantify the subjective and objective weights of each index in transmission network planning,an evaluation method of transmission network planning scheme which combines improved analytic hierarchy process,CRITIC(CRiteria Importance Through Intercriteria Correlation) method and TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) is proposed. Firstly,the subjective and objective weights of each index are calculated by the improved analytic hierarchy process and CRITIC method respectively and the comprehensive weights are obtained by combining the two weights. Then,the relative closeness coefficient between each planning scheme and the ideal solution is calculated by using TOPSIS,which is taken as the measurement standard to realize the sorting of planning schemes. This method that comprehensively considers the subjective and objective weights effectively utilizes the objective information of index data and takes full account of the important role of subjective evaluation and decision in the actual network planning. The effectiveness of the proposed evaluation method is verified by the typical IEEE Garver-6-bus system,which is commonly used in the transmission network planning.
引文
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[15]张文朝,顾雪平.应用变异系数法和逼近理想解排序法的风电场综合评价[J].电网技术,2014,38(10):2741-2746.ZHANG Wenchao,GU Xueping. Comprehensive evaluation of wind farms using variation coefficient method and technique for order preference by similarity to ideal solution[J]. Power System Technology,2014,38(10):2741-2746.
[16]孙即祥.现代模式识别[M].北京:高等教育出版社,2008:526-538.
[17]ROMERO R,MONTICELLI A,GARCIA A,et al. Test systems and mathematical models for transmission network expansion planning[J]. IEE Proceedings-Generation,Transmission and Distribution,2002,149(1):27-36.
[2]杜琳,孙亮,陈厚合.计及电转气规划的综合能源系统运行多指标评价[J].电力自动化设备,2017,37(6):110-116.DU Lin,SUN Liang,CHEN Houhe. Multi-index evaluation of integrated energy system with P2G planning[J]. Electric Power Automation Equipment,2017,37(6):110-116.
[3]刘自发,韦涛,李梦渔,等.基于改进层次分析法的交、直流微电网综合评估[J].电力自动化设备,2016,36(3):60-66,78.LIU Zifa,WEI Tao,LI Mengyu,et al. Comprehensive evaluation based on improved analytic hierarchy process for AC/DC microgrid[J].Electric Power Automation Equipment,2016,36(3):60-66,78.
[4]聂宏展,聂耸,乔怡,等.基于主成分分析法的输电网规划方案综合决策[J].电网技术,2010,34(6):134-138.NIE Hongzhan,NIE Song,QIAO Yi,et al. Comprehensive decisionmaking of alternative transmission network planning based on principal component analysis[J]. Power System Technology,2010,34(6):134-138.
[5]罗毅,李昱龙.基于熵权法和灰色关联分析法的输电网规划方案综合决策[J].电网技术,2013,37(1):77-81.LUO Yi, LI Yulong. Comprehensive decision-making of transmission network planning based on entropy weight and grey relational analysis[J]. Power System Technology,2013,37(1):77-81.
[6]周建平,林韩,温步瀛.基于层次分析法与灰关联理论的输电网规划方案综合决策[J].电网与清洁能源,2011,27(9):66-70.ZHOU Jianping,LIN Han,WEN Buying. Comprehensive decisionmaking of transmission network planning based on AHP-GRA[J].Power System and Clean Energy,2011,27(9):66-70.
[7]国连玉,李可军,梁永亮,等.基于灰色模糊综合评判的高压断路器状态评估[J].电力自动化设备,2014,34(11):161-167.GUO Lianyu,LI Kejun,LIANG Yongliang,et al. HV circuit breaker state assessment based on gray-fuzzy comprehensive evaluation[J].Electric Power Automation Equipment,2014,34(11):161-167.
[8]赵书强,李勇,王春丽.基于集对层次分析法的输电网规划动态综合评判[J].华北电力大学学报(自然科学版),2009,36(5):17-21.ZHAO Shuqiang,LI Yong,WANG Chunli. A dynamic comprehensive judgement method for transmission network planning based on SPA and AHP[J]. Journal of North China Electric Power University(Natural Science Edition),2009,36(5):17-21.
[9]罗志坤,刘潇潇,陈星莺,等.变电站能效评估指标体系及建模方法[J].电力自动化设备,2017,37(3):132-138.LUO Zhikun,LIU Xiaoxiao,CHEN Xingying,et al. Energy efficiency evaluation index system and modeling method for substation[J].Electric Power Automation Equipment,2017,37(3):132-138.
[10]张立军,张潇.基于改进CRITIC法的加权聚类方法[J].统计与决策,2015,22(18):65-68.ZHANG Lijun,ZHANG Xiao. Weighted clustering method based on improved CRITIC method[J]. Statistics&Decision,2015,22(18):65-68.
[11]傅为忠,刘芳芳.基于改进CRITIC-GRAP模型的“互联网+工业”融合发展评价研究[J].工业技术经济,2016,35(10):21-29.FU Weizhong,LIU Fangfang. Research on the evaluation of“internet plus industry”convergence based on improved CRITIC-GRAP model[J]. Journal of Industrial Technological&Economics,2016,35(10):21-29.
[12]李磊,徐宗学,于伟东,等.基于模糊优选和CRITIC法的流域初始水权分配:以漳卫南子流域为例[J].水利水电技术,2012,43(7):32-35.LI Lei,XU Zongxue,YU Weidong,et al. Fuzzy optimization and CRITIC method based initial water right allocation of river basin:a case of Zhangweinan Canal Sub-basin[J]. Water Resources and Hydropower Engineering,2012,43(7):32-35.
[13]李娜娜,何正友.主客观权重相结合的电能质量综合评估[J].电网技术,2009,33(6):55-61.LI Nana,HE Zhengyou. Power quality comprehensive evaluation combining subjective weight with objective weight[J]. Power System Technology,2009,33(6):55-61.
[14]付学谦,陈皓勇.基于理想解法的电能质量综合评估[J].电力自动化设备,2014,34(4):26-30.FU Xueqian,CHEN Haoyong. Comprehensive power quality evaluation based on TOPSIS approach[J]. Electric Power Automation Equipment,2014,34(4):26-30.
[15]张文朝,顾雪平.应用变异系数法和逼近理想解排序法的风电场综合评价[J].电网技术,2014,38(10):2741-2746.ZHANG Wenchao,GU Xueping. Comprehensive evaluation of wind farms using variation coefficient method and technique for order preference by similarity to ideal solution[J]. Power System Technology,2014,38(10):2741-2746.
[16]孙即祥.现代模式识别[M].北京:高等教育出版社,2008:526-538.
[17]ROMERO R,MONTICELLI A,GARCIA A,et al. Test systems and mathematical models for transmission network expansion planning[J]. IEE Proceedings-Generation,Transmission and Distribution,2002,149(1):27-36.
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