Strategic decision-making support for distribution system planning with flexibility alternatives

被引:1
|
作者
Troncia, Matteo [1 ]
Ruggeri, Simona [2 ]
Soma, Gian Giuseppe [2 ]
Pilo, Fabrizio [2 ]
Avila, Jose Pablo Chaves [1 ]
Muntoni, Daniele [3 ]
Gianinoni, Iva Maria [4 ]
机构
[1] Comillas Pontifical Univ, Inst Res Technol IIT, Madrid, Spain
[2] Univ Cagliari, Dept Elect & Elect Engn, Cagliari, Italy
[3] Infora Soc Cooperat, Cagliari, Italy
[4] Ric Sistema Energet RSE SpA, Milan, Italy
来源
关键词
Cost-benefit analysis; Multicriteria analysis; Decision theory; Power system; Planning; Flexibility; COST-BENEFIT-ANALYSIS; MULTICRITERIA ANALYSIS; PROBABILISTIC CHOICE; ATTRIBUTE WEIGHTS; RISK ANALYSIS; PRIORITIES;
D O I
10.1016/j.segan.2023.101138
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
The ongoing power system transformation requires rethinking the planning and operation practices of the different segments to accommodate the necessary changes and take advantage of the forthcoming opportunities. This paper concerns novel approaches for appraising initiatives involving the use of flexibility from grid-connected users. This paper proposes a Decision Theory based Multi-Criteria CostBenefit Analysis (DT-MCA-CBA) methodology for smart grid initiatives that capture the complexity of the distribution system planning activities in which flexibility competes with grid expansion. Based on international guidelines, the proposed DT-MCA-CBA methodology systematically assesses tangible and intangible impacts, considering multiple conflicting criteria. The DT-MCA-CBA methodology relies on a novel approach that combines MCA and Decision Theory to identify the most valuable option in a complex decision-making problem by modelling the stakeholder perspective with the MiniMax regret decision rule. The proposed DT-MCA-CBA methodology is applied to a comparative case study concerning four different approaches for distribution system planning. A web-based software which implements the proposed decision-making framework and the DT-MCA-CBA methodology is developed to provide a novel decision-making support tool for strategical smart distribution system planning.(c) 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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页数:19
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