Renewable energy accommodation potential evaluation of distribution network: A hybrid decision-making framework under interval type-2 fuzzy environment

With the wide application of renewable energy in the global scope, the power system as a carrier of renewable energy consumption is confronted with severe challenges. Scientific evaluation of distribution network renewable energy accommodation potential is essential for effective planning of renewable energy access. This paper aims to develop a hybrid decision-making framework to address renewable energy accommodation potential evaluation problems. Firstly, a full-scale attribute system is innovatively established, including distribution network, source, load, social, and risk aspects. Secondly, interval type-2 fuzzy sets are adopted to depict indefinite knowledge, which improves the reliability of decision information. Thirdly, the interval type-2 fuzzy best-worst method is introduced to determine attributes' weights. The generated weights exist with the fuzzy form instead of crisp values, thereby retaining the originality of weight information. Finally, an extended MARCOS (Measurement of Alternatives and Ranking according to COmpromise Solution) method is presented to rank-order alternatives. A case study is conducted based on the proposed framework. The results of sensitivity analysis and comparative analysis show that the model in this paper has good stability and applicability. (C) 2020 Elsevier Ltd. All rights reserved.