OPTIMIZATION TECHNIQUES FOR POWER DISTRIBUTION SYSTEMS IN SMART GRIDS

Manjeet

doi:10.29121/shodhkosh.v5.i6.2024.6139

Authors

Dr. Manjeet Associate Professor, Electrical and Electronics Engineering Dept., KVMT Khera Siwani. (Approved AICTE & Mdu Rohtak), Vpo Khera Siwani Dist Bhiwani Haryana Pin 127046

DOI:

https://doi.org/10.29121/shodhkosh.v5.i6.2024.6139

Keywords:

Smart Grid & Power Distribution System, Optimization Tech, Load Balance, Fault Detection, Energy Efficiency, Renewable Energy, Demand Response, Machine Learnig, Power Flow Management, Vittalise Control, Huristic Algorthm

Abstract [English]

The environment friendly technologies built into smart grid has transformed the power distribution system and helped improve reliability, efficiency and sustainability of power supply. Optimization methods are important to enhance the performance of these systems by overcoming some of its challenges like load balancing, fault detection, energy efficiency and reducing the operational costs. In this paper, a range of optimization techniques used in smart grids will be discussed: model-based optimization, heuristic solution, machine learning, and real-time data analytics. We present the use of them in the management of power flows, voltage control, and management, demand response, and integration of renewable energy sources. Moreover, the paper outlines the trade-off present in making optimized decisions, and how communication networks can facilitate such treatments, and how this can be further developed. The proposed techniques are to contribute to the overall optimal work of the system with the resilience and sustainability of power distribution grids in the new era of smart grid technologies.

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