Abstract
The continuous reduction in fossil fuel resources, the Distributed Generation Technologies have recently fascinated more attention. Microgrid technologies are also employed to join such sources into the main network by pointedly enhancing energy utilization through local production and load control. As a result, quality and reliability have improved. Most of such network studies focus on operating and investment expenses but ignore the environmental impact. An optimization model is developed based on these two criteria to estimate the feasibility and environmental involvement of microgrid. Renewable energy sources have a high penetration rate in this model. The genetic algorithm is utilized to perform hourly optimizations on microgrid in order to achieve environmental benefits as well as financial gains.
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Daniel, L., Chaturvedi, K.T., Kolhe, M. (2023). Genetic Algorithm for Economic Load Dispatch with Microgrid to Save Environment by Reduction of CO2 Emission. In: Khosla, A., Kolhe, M. (eds) Renewable Energy Optimization, Planning and Control. Studies in Infrastructure and Control. Springer, Singapore. https://doi.org/10.1007/978-981-19-8963-6_3
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DOI: https://doi.org/10.1007/978-981-19-8963-6_3
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