Cost-Efficient and Scalable PMU Placement Strategies for Enhanced Power Grid Monitoring and Management

Authors:
K. Naveenkumar, P. M. Bharath, C. Poongothai

Addresses:
Department of Instrumentation and Control Engineering, Sri Manakula Vinayagar Engineering College, Madagadipet, Puducherry, India. Department of Biomedical Engineering, Sri Manakula Vinayagar Engineering College, Madagadipet, Puducherry, India. Department of Electrical and Electronics Engineering, Muthaiah Polytechnic College, Annamalainagar, Chidambaram, Tamil Nadu, India. 

Abstract:

Phasor Measurement Units, also known as PMUs, were crucial in improving real-time monitoring and control of power systems, which in turn contributed to the grid's resilience and reliability. Nevertheless, determining the appropriate placement of PMUs (OPP) remained a challenge due to the need to balance the system's observability with deployment costs. During this research, a sustainable methodology for PMU placement was developed by including several different variables, including observability, cost-efficiency, and practicality. Using optimisation algorithms, strategic PMU locations were identified, and the use of previous fault data helped ensure the reliability of problem detection. The technique enabled a PMU deployment that is both flexible and scalable by considering a variety of grid designs, sizes, and financial constraints. Using case studies of actual power grids, their effectiveness was demonstrated compared to alternative solutions. The strategy optimised resource utilisation and operational expenses by reducing the number of PMUs to a minimum without compromising observability. This also enabled long-term adaptability by accounting for future grid growth.

Keywords: Cost-Efficient; Ant Lion Optimisation (ALO); Distribution Systems; Phasor Measuring Unit (PMU); Modelling and State Estimation; Transmission Systems; Fault Detection; Operational Costs; Power Grid Monitoring and Management.

Received: 26/05/2024, Revised: 15/07/2024, Accepted: 20/09/2024, Published: 05/06/2025

DOI: 10.64091/ATIML.2025.000138

AVE Trends in Intelligent Management Letters, 2025 Vol. 1 No. 2 , Pages: 83-96

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