A power grid investment portfolio strategy based on Shapley value and global harmony search algorithm

Autor: KANG Peng, SUN Anli, TANG Libo, LIU Ziyi, ZHANG Jinliang
Jazyk: čínština
Rok vydání: 2024
Předmět:
Zdroj: Zhejiang dianli, Vol 43, Iss 2, Pp 49-57 (2024)
Druh dokumentu: article
ISSN: 1007-1881
DOI: 10.19585/j.zjdl.202402006
Popis: With the accelerated advancement of the construction of new-type power systems and the increasing intensity of grid investment, power grid enterprises have to explore more rational and efficient investment strategies to achieve optimal comprehensive benefits. To this end, taking into account the economic, social, environmental, and safety dimensions and optimizing the comprehensive benefits of grid project investments, a study on investment portfolio strategies is conducted. Firstly, the Shapley value method is applied to allocate the proportions of various benefit functions, revealing the characteristics of different benefit indicators. Secondly, given the key constraints such as investment capacity and load demand, an optimal model for grid project investment portfolios is developed, and the global harmony search algorithm (GHSA) is employed for solution finding. Finally, a case study is constructed to investigate the investment portfolio strategy. The results demonstrate that the proposed approach can assist decision-makers in formulating optimal investment strategies in the new situation.
Databáze: Directory of Open Access Journals