基于区间二型模糊TOPSIS的风储联合发电系统协同决策研究
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摘要
基于风电―储能协同角度,从复杂系统维、运营节点维、主体能效维和外部环境维对风储联合发电系统的协同影响因素进行梳理和分析,形成风储联合发电系统协同评价指标体系。鉴于指标属性和协同决策的复杂性和不确定性,在TOPSIS基础上引入区间二型模糊数对指标权重和指标值的语义值进行处理,构建基于区间二型模糊TOPSIS的风储联合发电系统协同决策模型。结合案例分析,证明所建模型方法的有效性和可行性。
Based on collaboration of wind and energy storage,this paper analyzes the collaborative factors influencing wind and energy storage combined power generation system from aspects of complex system,operation node,subject efficiency and external environment dimensions,and constructs the evaluation index system.In view of complexities and uncertainties of index attributes and collaborative decision,it introduces the interval type-2 fuzzy numbers to deal with the linguistic values of index weights and index values on the basis of TOPSIS,and constructs the collaborative decision model based on interval type-2 fuzzy TOPSIS.Combining with case analysis,it proves the validity and feasibility of the proposed model method.
Based on collaboration of wind and energy storage,this paper analyzes the collaborative factors influencing wind and energy storage combined power generation system from aspects of complex system,operation node,subject efficiency and external environment dimensions,and constructs the evaluation index system.In view of complexities and uncertainties of index attributes and collaborative decision,it introduces the interval type-2 fuzzy numbers to deal with the linguistic values of index weights and index values on the basis of TOPSIS,and constructs the collaborative decision model based on interval type-2 fuzzy TOPSIS.Combining with case analysis,it proves the validity and feasibility of the proposed model method.
引文
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[19]乌云娜,孙肖坤,芦智明,等.基于区间二型模糊AHP-VIKOR的风电建设项目投资风险决策模型研究[J].科技管理研究,2019,39(4):236-245.
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[2]孙辉,刘鑫,贲驰,等.含风储一体化电站的电力系统多目标风险调度模型[J].电力系统自动化,2018,42(5):94-101.
[3]易林,张玉荣,李杨,等.低碳经济下含风储联合电力系统优化调度[J].水电能源科学,2018,36(4):213-216.
[4]张刘冬,袁宇波,孙大雁,等.基于两阶段鲁棒区间优化的风储联合运行调度模型[J].电力自动化设备,2018,38(12):59-66.
[5]代兵琪,王哲,李春生.基于改进粒子群算法的风储联合系统多目标协同调度[J].电气技术,2015(12):22-25.
[6]李滨粟,祎敏,莫新梅,等.跟踪风电计划偏差的风储系统联合控制策略[J/OL].电网技术[2019-05-15].https://doi.org/10.13335/j.1000-3673.pst.2018.1848.
[7]章竹耀,郭晓丽,张新松,等.基于滑动平均和模型预测控制的风储平抑策略[J].控制工程,2019,26(1):114-119.
[8]赵巧娥,郭敏,贾新春,等.基于预测控制储能系统平抑风电场并网波动功率[J].电测与仪表,2019,56(5):94-100.
[9]蒋平,袁铁江,车勇,等.分散式风储一体化系统容量规划研究[J].电力电容器与无功补偿,2018,39(1):138-146.
[10]张金艳.一种基于可靠出力的储能容量的配置方法[J].节能,2018,37(1):9-12.
[11]童煜栋.风储联合运行对电力系统风险影响的研究[D].北京:华北电力大学,2018.
[12]ZHANG Y,HAN X,XU B,et al.Risk-based admissibility analysis of wind power integration into power system with energy storage system[J].Ieee Access,2018(6):57400-57413.
[13]应飞祥,姜燕波,何民,等.含风储系统的电力系统可靠性评估进展与展望[J].智慧电力,2019,47(2):1-8.
[14]谢桦,滕晓斐,张艳杰,等.风/光/储微网规划经济性影响因素分析[J].电力系统自动化,2019,43(6):70-82.
[15]彭勃,张峰,梁军.考虑风速分区的风——储系统短期频率响应协同控制策略[J].电力系统自动化,2018,42(8):57-65.
[16]赵奥,武春友.中国经济绿色转型态势系统评价——基于熵-OWA算子与灰关联改进TOPSIS[J].技术经济,2018,37(7):99-106.
[17]谢明华,孔庆宝.非常规天然气产业投资的综合评价与路径选择[J].技术经济,2019,38(1):89-96.
[18]林晓华,安相华,贾文华.产品方案优选的区间二型模糊VIKOR法[J].机械设计与制造,2017(3):11-15.
[19]乌云娜,孙肖坤,芦智明,等.基于区间二型模糊AHP-VIKOR的风电建设项目投资风险决策模型研究[J].科技管理研究,2019,39(4):236-245.
[20]WU T,LIU X,LIU F.An interval type-2fuzzy topsis model for large scale group decision making problems with social network information[J].Information Sciences,2018(432):392-410.
[21]MERVE C T.Interval type-2fuzzy topsis method for calibration supplier selection problem:a case study in an automotive company[J].Arabian Journal of Geosciences,2018,11(13):341-347.
[22]LEE L,CHEN S.A new method for fuzzy multiple attributes group decision-making based on the arithmetic operations of interval type-2fuzzy sets[C].International Conference on Machine Learning and Cybernetics,2008(6):3084-3089.
[23]CHEN S,LEE L.Fuzzy multiple attributes group decision-making based on the interval type-2TOPSIS method[J].Expert Systems with Applications,2010,37(4):2790-2798.