基于SWARA-CRITIC-MARCOS的负荷侧资源响应潜力评估方法A load-side resource response potential assessment method based on the SWARA-CRITIC-MARCOS methods
曾岚兰,闪鑫,王毅,王晨
ZENG Lanlan,SHAN Xin,WANG Yi,WANG Chen
摘要(Abstract):
充分挖掘负荷侧资源的响应潜力是提升负荷资源调控能力的有效手段之一。为有效感知负荷的响应潜力,提出了一种基于SWARA(逐步加权评估比率分析)-CRITIC(基于相关性的权重求取)-MARCOS(基于折中方案的备选方案排序)的负荷侧资源响应潜力评估方法。首先,基于负荷、经济、社会和系统层面构建负荷响应潜力的多维影响因素指标,并采用模糊数理论对指标权重和负荷的响应潜力进行评估;其次,将SWARA和CRITIC相结合计算各指标的综合权重;然后,采用MARCOS综合指标权重计算各负荷的响应潜力效用函数值,得到各类负荷的响应潜力排序结果;最后,以上海市部分可调度用户负荷为基础的算例验证了所提方法的有效性。
Effectively tapping into the response potential of load-side resources is one of the effective means to enhance the control capabilities of load resources. To efficiently perceive the response potential of loads, a method for assessing the response potential of load-side resources is proposed based on SWARA(step-wise weight assessment ratio analysis), CRITIC(criteria importance through intercriteria correlation), and MARCOS(measurement of alternatives and ranking according to compromise solution). Firstly, a multidimensional set of impact factor indicators for load response potential is constructed based on factors from the load, economic, social, and system perspectives.Fuzzy number theory is then employed to assess the weights of these indicators and the response potential of the load.Subsequently, the comprehensive weights of various indicators are calculated by combining SWARA and CRITIC.Utilizing MARCOS, the utility function values of load response potential for each type of load are determined based on the integrated indicator weights, resulting in a ranking of load response potential. Lastly, the effectiveness of the proposed method is validated through a case study using part of the dispatchable user loads in Shanghai.
关键词(KeyWords):
负荷响应潜力评估;权重计算;多属性决策;逐步加权评估比率分析;基于相关性的权重求取;基于折中方案的备选方案排序
load response potential assessment;weight calculation;multiple attribute decision-making;SWARA;CRITIC;MARCOS
基金项目(Foundation): 国家电网公司总部科技项目(5108-202217044A-1-1-ZN)
作者(Author):
曾岚兰,闪鑫,王毅,王晨
ZENG Lanlan,SHAN Xin,WANG Yi,WANG Chen
DOI: 10.19585/j.zjdl.202404005
参考文献(References):
- [1]赵腾,邬炜,高艺.碳中和目标下实现碳循环的电力系统供需规划[J].电网技术,2022,46(12):4895-4907.ZHAO Teng,WU Wei,GAO Yi.Power system demand and supply planning for achieving carbon neutrality considering carbon cycle within power and gas systems[J].Power System Technology,2022,46(12):4895-4907.
- [2]姜红丽,刘羽茜,冯一铭,等.碳达峰、碳中和背景下“十四五”时期发电技术趋势分析[J].发电技术,2022,43(1):54-64.JIANG Hongli,LIU Yuxi,FENG Yiming,et al.Analysis of power generation technology trend in 14th five-year plan under the background of carbon peak and carbon neutrality[J]. Power Generation Technology,2022,43(1):54-64.
- [3]葛罗,冯煊,胡凯,等.新型电力系统下空调负荷聚合建模及可调控潜力评估[J].浙江电力,2023,42(4):45-53.GE Luo,FENG Xuan,HU Kai,et al. Air conditioning load aggregation modeling and the schedulable potential evaluation in the context of new-type power system[J].Zhejiang Electric Power,2023,42(4):45-53.
- [4]杨锡勇,张仰飞,林纲,等.考虑需求响应的源-荷-储多时间尺度协同优化调度策略[J].发电技术,2023,44(2):253-260.YANG Xiyong,ZHANG Yangfei,LIN Gang,et al.Multitime scale collaborative optimal scheduling strategy for source-load-storage considering demand response[J].Power Generation Technology,2023,44(2):253-260.
- [5]黄亚峰,朱玉杰,穆钢,等.基于温度预报的户用电采暖负荷可调节能力评估[J].电网技术,2018,42(8):2487-2493.HUANG Yafeng,ZHU Yujie,MU Gang,et al.Evaluation of adjustable capacity of household electrical heating load based on temperature forecast[J].Power System Technology,2018,42(8):2487-2493.
- [6] CHUKWU U C,MAHAJAN S M. V2G electric power capacity estimation and ancillary service market evaluation[C]//2011 IEEE Power and Energy Society General Meeting.July 24-28,2011,Detroit,MI,USA.IEEE,2011:1-8.
- [7]史亮,葛晓琳,顾闻,等.考虑需求响应的电动汽车充电负荷研究[J].电测与仪表,2022,59(7):42-47.Shi Liang,GeXiaolin,Gu Wen,et al.Research on charging loads of electric vehicles considering demand response[J].Electrical Measurement&Instrumentation,2022,59(7):42-47.
- [8]梁纪峰,范辉,李顺,等.计及响应度的电力用户互动潜力画像分析[J].科学技术与工程,2022,22(15):6130-6138.LIANG Jifeng,FAN Hui,LI Shun,et al. Analysis of power user interaction potential portrait considering user response[J].Science Technology and Engineering,2022,22(15):6130-6138.
- [9]孙胜博,张凯,冯剑,等.基于负荷特性分析的电力用户用电行为特征研究[J].内蒙古电力技术,2020,38(1):40-44.SUN Shengbo,ZHANG Kai,FENG Jian,et al.Research on characteristics of customer electricity behavior based on load characteristics[J]. Inner Mongolia Electric Power,2020,38(1):40-44.
- [10]刘文彬,刘永刚,文祥宇,等.基于需求响应的居民侧柔性负荷多目标优化研究[J].山东电力技术,2022,49(8):42-49.LIU Wenbin,LIU Yonggang,WEN Xiangyu,et al. Research on multi-objective optimization of residential flexible loads based on demand response[J].Shandong Electric Power,2022,49(8):42-49.
- [11]李鑫,杨方,肖湘晨,等.智能电网中用电感知的数据分析需求响应方案研究[J].电测与仪表,2022,59(2):30-37.Li Xin,Yang Fang,Xiao Xiangchen,et al. Research on data analysis demand response scheme of power consumptionperception in smart Grid[J]. Electrical Measurement&Instrumentation,2022,59(2):30-37.
- [12]李如忠,童芳,周爱佳,等.基于梯形模糊数的地表灰尘重金属污染健康风险评价模型[J].环境科学学报,2011,31(8):1790-1798.LI Ruzhong,TONG Fang,ZHOU Aijia,et al.Fuzzy assessment model for the health risk of heavy metals in urban dusts based on trapezoidal fuzzy numbers[J].Acta Scientiae Circumstantiae,2011,31(8):1790-1798.
- [13]郭金玉,张忠彬,孙庆云.层次分析法的研究与应用[J].中国安全科学学报,2008,18(5):148-153.GUO Jinyu,ZHANG Zhongbin,SUN Qingyun.Study and applications of analytic hierarchy process[J].China Safety Science Journal(CSSJ),2008,18(5):148-153.
- [14]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.
- [15]魏权龄.数据包络分析(DEA)[J].科学通报,2000,45(17):1793-1808.WEI Quanling.Data envelopment analysis(DEA)[J].Chinese Science Bulletin,2000,45(17):1793-1808.
- [16] CUI Y F,LIU W,RANI P,et al. Internet of Things(IoT)adoption barriers for the circular economy using Pythagorean fuzzy SWARA-CoCoSo decision-making approach in the manufacturing sector[J].Technological Forecasting and Social Change,2021,171:120951.
- [17]温亚林,石霞,龙恩武,等.SWARA方法在药品临床综合评价中的应用现状[J].中国药房,2022,33(19):2428-2432.WEN Yalin,SHI Xia,LONG Enwu,et al.Application status of SWARA method in clinical comprehensive evaluation of drugs[J]. China Pharmacy,2022,33(19):2428-2432.
- [18]罗宁,贺墨琳,高华,等.基于改进的AHP-CRITIC组合赋权与可拓评估模型的配电网综合评价方法[J].电力系统保护与控制,2021,49(16):86-96.LUO Ning,HE Molin,GAO Hua,et al. Comprehensive evaluation method for a distribution network based on improved AHP-CRITIC combination weighting and an extension evaluation model[J]. Power System Protection and Control,2021,49(16):86-96.
- [19] STEVI??,PAMU?AR D,PU?KA A,et al.Sustainable supplier selection in healthcare industries using a new MCDM method:measurement of alternatives and ranking according to COmpromise solution(MARCOS)[J].Computers&Industrial Engineering,2020,140:106231.
- [20]刘杰,戴雨剑,范龙文,等.考虑海量可再生能源接入的区域配电网综合态势评估方法[J].南方电网技术,2022,16(6):65-74.LIU Jie,DAI Yujian,FAN Longwen,et al. Comprehensive situation assessment method of regional distribution network considering massive renewable energy access[J].Southern Power System Technology,2022,16(6):65-74.
- [21]王敏,邹婕,王惠琳,等.基于改进的AHP-CRITICMARCOS配电网设备风险评估方法[J].电力系统保护与控制,2023,51(3):164-172.WANG Min,ZOU Jie,WANG Huilin,et al. Improved AHP-CRITIC-MARCOS-based risk assessment method for distribution network equipment[J].Power System Protection and Control,2023,51(3):164-172.
- [22] DEVECI M,?ZCAN E,JOHN R,et al. Offshore wind farm site selection using interval rough numbers based Best-Worst Method and MARCOS[J].Applied Soft Computing,2021,109:107532.
- [23]王展亮,罗楠茜,谢汉梁,等.基于三角模糊数的沥青路面使用性能评价方法[J].福建建筑,2022(11):90-92.WANG Zhanliang,LUO Nanqian,XIE Hanliang,et al.Evaluation method of asphalt pavement performance based on triangular fuzzy number[J]. Fujian Architecture&Construction,2022(11):90-92.
- [24] CHEN Z H,MING X G.A rough-fuzzy approach integrating best-worst method and data envelopment analysis to multi-criteria selection of smart product service module[J].Applied Soft Computing,2020,94:106479.
- [25] STEVI??,PAMU?AR D,PU?KA A,et al.Sustainable supplier selection in healthcare industries using a new MCDM method:measurement of alternatives and ranking according to COmpromise solution(MARCOS)[J].Computers&Industrial Engineering,2020,140:106231.
- [26]宗秋雷,王彬,王凯,等.基于梯形模糊数和C-OWA算子的地铁盾构施工风险评估方法[J].长江科学院院报,2020,37(12):98-104.ZONG Qiulei,WANG Bin,WANG Kai,et al.A risk assessment method for metro shield construction based on trapezoidal fuzzy number and C-OWA operator[J].Journal of Yangtze River Scientific Research Institute,2020,37(12):98-104.
- [27]肖承学,郭健.基于区间犹豫模糊TODIM的改进风险评估方法[J].计算机科学,2020,47(6):225-229.XIAO Chengxue,GUO Jian. Improved FMEA method based on interval-valued hesitant fuzzy TODIM[J].Computer Science,2020,47(6):225-229.
- [28] GUPTA H. Assessing organizations performance on the basis of GHRM practices using BWM and Fuzzy TOPSIS[J]. Journal of Environmental Management,2018,226:201-216.
- [29] WU Q,ZHOU L G,CHEN Y,et al. An integrated approach to green supplier selection based on the interval type-2 fuzzy best-worst and extended VIKOR methods[J].Information Sciences,2019,502:394-417.
- [30]马文静,李薇,阳佳彬,等.AHP-VIKOR在风电项目后评价中的应用[J].广东电力,2023,36(5):1-9.MA Wenjing,LI Wei,YANG Jiabin,et al.Application of AHP-VIKOR in post-evaluation of wind power projects[J].Guangdong Electric Power,2023,36(5):1-9.
- [31] WU Y N,ZHANG T,XU C B,et al.Optimal location selection for offshore wind-PV-seawater pumped storage power plant using a hybrid MCDM approach:a two-stage framework[J]. Energy Conversion and Management,2019,199:112066.
- 负荷响应潜力评估
- 权重计算
- 多属性决策
- 逐步加权评估比率分析
- 基于相关性的权重求取
- 基于折中方案的备选方案排序
load response potential assessment - weight calculation
- multiple attribute decision-making
- SWARA
- CRITIC
- MARCOS