Gildenhuys, TiaanZhang, LijunYe, XianmingXia, Xiaohua2020-08-072020-08-072019-02Gildenhuys, T., Zhang, L., Ye, X. et al. 2019, 'Optimization of the operational cost and environmental impact of a multi-microgrid system', Energy Procedia,vol. 158, pp. 3827-3832.1876-6102 (online)10.1016/j.egypro.2019.01.865http://hdl.handle.net/2263/7561510th International Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong, ChinaA multi-objective optimization model is developed for a multi-microgrid system, which not only minimizes its operational cost but also the emissions. The performance of the proposed model is evaluated by comparing its results to the results provided by a single-objective optimization model that only minimizes the operational cost. Both of these models are applied on a case study and solved through the use of hybrid functions between Matlab’s genetic algorithm, fmincon and fgoalattain. The proposed model identified an energy management plan for the multi-microgrid system in the case study that increases the operational cost by 19.4% but it decreases the emissions by 73.9%.en© The Authors. This is an open access article under CC BY-NC-ND license.MicrogridMulti-microgrid systemNetworked microgridsOperational costEmissionsOptimizationArticle