Virtual Power Plant for Optimizing Power Flow in Large Scale Distributed Networks

Abstract

The control issues in the network caused by the increasing proportion of dispersed production & sources of clean energy need coordinated handling of these assets. Virtual power plants (VPPs) may be thought of as systems that comprise resources like electric vehicles, energy storage, controlled loads, and other distributed generators. Operation, resource unpredictability, energy management, involvement in electrical markets, etc. are just a few of the many obstacles VPPs must overcome. The challenge of the study is to optimize the performance of VPPs in managing dispersed clean energy sources, and the proposed model employs a distributed control approach and particle swarm optimization (PSO)-based learning reinforcement technique to address this challenge by maximizing VPP output and operational efficiency in various energy market scenarios. In this research, we explore the topic of ongoing electrical power in massively distributed systems based on VPPs. To maximize the VPP output & reach an ideal operational point, the authors of this work used a distributed control approach. The purpose of this article is to examine VPP performance under a variety of markets for energy configurations. Further, a PSO-based learning reinforcement technique is used to examine the benefits and drawbacks of VPPs’ power management.

Keywords:

• large scale power distribution networks
• virtual power plants
• power flow optimization and energy management

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

Notes on contributors

V. V. Rajasegharan

V. V. Rajasegharan received B.E. degree in EEE from Jerusalem College of Engineering, affiliated to Madras University, Chennai, Tamil Nadu in 1999. M.E. Degree in Power Electronics & Drives from PSG College of Technology, Coimbatore affiliated to Bharathiyar University, Coimbatore, Tamil Nadu in 2003. He received Ph.D. Degree from Anna University, Chennai in the Area of Power Electronics and Controller design in 2020. He is currently working as an Associate Professor in Department of Electrical & Electronics Engineering in Anand Institute of Higher Technology, Chennai, Tamil Nadu. His research interests include Electrical drives and Control, Harmonic analysis and Power Quality Improvement.

P. Veena

P. Veena graduated in Bachelor of Electrical and Electronics Engineering from Government College of Engineering, Salem. She did her post graduate studies in M.E (Power Electronics and Drives) in the same college and secured Gold Medal from Anna University, Chennai for the batch. She completed her doctorate in Intelligent control of SRM drives at Anna University, Chennai. Currently, she is working as Professor in Department of EEE at KSR Institute for Engineering and Technology, Tiruchengode. She has published 43 papers in International Journals, International and National conferences related to her research work. She is a life member of the Indian Society for Technical Education. Her technical interests include image processing, Special Electrical Machines, Intelligent Control, Vector control and Direct Torque Control for AC drives.

S. Ramesh

S. Ramesh received his Ph.D degree in Electrical Engineering from Anna University, Chennai. He is now working as a Professor & Head, Department of Electrical & Electronics Engineering, K.S.R. College of Engineering, Tiruchengode and Research supervisor at Anna University, Chennai. He has published more than 45 Technical papers at various National/ International Journals and Conference. His research interest includes Power systems, Electrical Machines, Power Electronics and Soft Computing Techniques.

G. Karthikeyan

G. Karthikeyan has currently working as an Associate Professor in Sona College of Technology, Salem. He has undergone his B.E (EEE) in University of Madras (2003), Chennai, and done his Post graduate M.E (Power System Engineering- 2006) and also Ph.D (2013) in Anna University, Chennai. He has been life member of ISTE & IEI and member of IEEE society. He has 20 Years of academic experience in the field of Electrical & Electronics Engineering and Power systems. He has published 20 international journals and presented 18 papers in both national and international conferences.