Comprehensive Evaluation of Regional Grid Load Response Potential Incorporating Impacts of Socio-Physical Attribute
Demand response(DR)is a critical mechanism for mobilizing demand-side resources and ensuring the stable operation of electric systems.To guide regional demand response programs and enhance the on-grid consumption of renew-able generations,this paper proposes a probabilistic interval hesitant fuzzy sets-based method to estimate regional grid's load demand response potential.A regional grid demand response potential estimation index system is established by con-sidering dimensions such as physics,economic technology,and society.Probabilistic interval hesitant fuzzy sets are utilized to characterize decision-making information that includes the psychological factors of decision-makers.The indexes are weighted using a modified entropy weighting method within a probabilistic interval hesitant fuzzy environment.A novel distance measure is constructed by combining the hesitancy of probabilistic interval hesitant fuzzy elements,which is then integrated with the TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution)method to analyze deci-sion-making and derive evaluation results.Finally the perceived ranking of the demand response potential of 4 selected re-gional power grids in Shanghai verifies the correctness and rationality of the proposed method.
demand response potentialprobabilistic interval hesitant fuzzy setdegree of hesitancymulti-attribute deci-sion-making