Game-theoretic genetic-priced optimization of multiple microgrids under uncertainties

作者：

Highlights：

• An optimization scheme applicable for a microgrid cluster (MGC) is proposed.

• The proposed scheme is nested which includes an outer loop and an inner loop.

• An evolutionary pricing model is established in the outer game-theoretic framework.

• The inner loop integrates a two-stage robust optimization approach.

摘要

•An optimization scheme applicable for a microgrid cluster (MGC) is proposed.•The proposed scheme is nested which includes an outer loop and an inner loop.•An evolutionary pricing model is established in the outer game-theoretic framework.•The inner loop integrates a two-stage robust optimization approach.

论文关键词：Game theory,Robust optimization,Column-and-constraint generation algorithm,Integrated power system,Genetic-priced mechanism

论文评审过程：Received 25 June 2021, Revised 17 December 2021, Accepted 21 February 2022, Available online 8 April 2022, Version of Record 26 April 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127043