A load-side resource response potential assessment method based on the SWARA-CRITIC-MARCOS methods

Abstract

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.

Keywords

• load response potential assessment
• weight calculation
• multiple attribute decision-making
• swara
• critic
• marcos