Abstract
This paper investigates a multi-objective optimization model for the microgrid operation problem under grid-connected mode and isolated mode. The proposed operation problem is modelled as mixed integer linear programming and multiple objective functions such as minimization of daily operation cost and minimization of daily emission output are considered from the financial and ecological perspectives. The proposed bi-objective problem is transformed into a single-objective problem using a fuzzy satisfaction-maximizing approach in this model. The problem is then solved using the mixed-integer linear programming method. The proposed microgrid consists of diesel generators, wind turbines, battery storage system and solar PV panels to meet the local load demand. In addition, after satisfying the overall local load demand, the microgrid participates in the energy trading process with the main grid. In this model, the proposed cost objective function also includes the expenses of energy traded from the main grid, which will enhance the local renewable energy utilization as well as maximize the microgrid’s extra renewable energy selling revenue. The effectiveness of the proposed bi-objective model is analyzed with two different case studies and various scenarios are considered for the microgrid optimal operation under grid connected as well as islanded modes. From the overall simulation result analysis, it shows that the bi-objective proposed model is able to create a better optimal economic and environmental microgrid operation.
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Gowrisetty, M.K., Yalagala, M., LakkiReddy, V.R., Kamireddy, R., Bhamidi, L. (2024). A Multi-objective Optimization Model for Economic-Environmental Operation of Microgrid. In: Talpa Sai, P.H.V.S., Potnuru, S., Avcar, M., Ranjan Kar, V. (eds) Intelligent Manufacturing and Energy Sustainability. ICIMES 2023. Smart Innovation, Systems and Technologies, vol 372. Springer, Singapore. https://doi.org/10.1007/978-981-99-6774-2_1
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