Assessment of Adaptive Coordinated Control of Overcurrent Relay Using Novel Multi-Trial Vector-Based Differential Evolution Algorithm

Abstract

In this work, we use a unique multi-trial vector-based differentiation algorithm to examine the dynamically coordinated management of over current relays (OCRs) in substations. OCRs are significant for substation protection, and their coordinated control is essential for different sections experiencing varying current levels. Numerous optimization and AI techniques have been explored by researchers to enhance OCR coordinated control performance. This study introduces adaptive control for automatic coordination time adjustment based on forecasting, particularly focusing on integrating wind energy systems with and without reactors in substations. Accurate forecasting is vital for effective adaptive OCR control; hence, a novel multi-trial vector-based evolutionary (MTDE) algorithm is proposed for wind energy forecasting. MATLAB is used for the analysis, comparing the performance of artificial neural network (ANN)-based wind energy forecasting. The proposed method employs ANN for wind energy forecasting in a 110/22KV substation, enhancing OCR coordinated control based on wind energy integration. The ANN is trained using Mean Square Error (MSE), and its weights are tuned using MTDE for improved forecasting accuracy. Simulation results show that the MTDE-tuned ANN significantly enhances wind energy forecasting accuracy compared to conventional ANN, enabling superior adaptive coordinated OCR control, and thereby improving substation protection under fault conditions.

Keywords:

• overcurrent relay
• multi-trial vector-based differential evolution algorithm
• ANN
• adaptive coordinated control
• PSM

ACKNOWLEDGEMENT

There is no acknowledgement involved in this work.

DISCLOSURE STATEMENT

Conflict of Interest is not applicable in this work.

AUTHORSHIP CONTRIBUTIONS

All authors are contributed equally to this work.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

No participation of humans takes place in this implementation process.

HUMAN AND ANIMAL RIGHTS

No violation of Human and Animal Rights is involved.

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

Additional information

Funding

No funding is involved in this work.

Notes on contributors

Manikandan Selvaraj

Manikandan Selvaraj received his B.E. from the P.S.N.A College of Engineering and Technology, Dindigul, India, in 2002, his M.E. from the Karpagam Academy of Higher Education, Karpagam University, Coimbatore, India, in 2014.He is currently the Assistant Executive Engineer in TANTRANSCO LTD, Erode, India. His current research interests in Power system protection and relay co-ordination with real time implementations.

Manigandan Thathan

Manigandan Thathan received his B.E. from the Government College of Technology, Coimbatore, India, in 1996, his M.E. from the PSG College of Technology, Coimbatore, India, in 1998, and his Ph.D. from Anna University, Chennai, India, in 2005. He is currently the Principal of the P. A. College of Engineering and Technology, Pollachi, India. He has published over 150 referenced technical papers including journal articles. His current research interests include the modeling of electrical systems, stability analysis of electrical systems, and advanced digital control with real time implementations.