Smart Optimization for Environmental and Economic Dispatch with Renewable Energy Integration

International Journal of Electrical and Electronics Engineering

© 2025 by SSRG - IJEEE Journal

Volume 12 Issue 1

Year of Publication : 2025

Authors : K. Manikandan, P. Venkatesh, B. Naga Pratyusha, K. Sarada, Arvind R. Singh

10.14445/23488379/IJEEE-V12I1P102

How to Cite?

K. Manikandan, P. Venkatesh, B. Naga Pratyusha, K. Sarada, Arvind R. Singh, "Smart Optimization for Environmental and Economic Dispatch with Renewable Energy Integration," SSRG International Journal of Electrical and Electronics Engineering, vol. 12,  no. 1, pp. 9-16, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I1P102

Abstract:

In recent years, the focus on optimal scheduling methods for Microgrids (MGs) has intensified due to their ability to efficiently manage Distributed Generation (DG) over varying time intervals. The intermittent nature of renewable energy sources like wind and solar creates significant challenges for economic dispatch within MGs, as their unpredictability complicates coordination among energy sources. This paper presents a novel, comprehensive framework for multi-objective optimal dispatch in MGs, considering both ecological and economic factors. The framework integrates various generating units, including Photovoltaic (PV) systems, Wind Turbines (WT), Microturbines (MT), Fuel Cells (FC), and Battery Storage (BT) systems. To address the complexities of balancing multiple objectives and the stochastic nature of renewable energy, the research aims to develop a feasible multi-objective optimal dispatch strategy that improves MG operations by making them faster, more stable, and more efficient in convergence. Advanced optimization techniques, particularly intelligent algorithms, are utilized within a robust simulation environment to tackle the challenges. The study develops and partially tests a mathematical model for multi-objective optimal dispatch, facilitating dynamic parameter calculations to ensure efficient system operations despite renewable energy complexities. This research demonstrates the potential for a highly efficient, sustainable MG dispatch system using intelligent optimization, providing insights for future experimental implementations and refinements.

Keywords:

Distributed generations, Fuel cells, Microgrid, Photovoltaic cells.

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