Abstract:
A 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%.
Description:
10th International Conference on Applied Energy (ICAE2018), 22-25 August 2018, Hong Kong,
China
