Renewable Energy-Based Multi-source System Under Deregulated Environment Using COKHA Algorithm

Abstract

In the upcoming decades, renewable energy will find significant usage in power industries. Renewable energy while supplementing conventional energy may experience a huge problem during making of control strategy. Automatic generation control executes an imperative contribution in power system operation to improve its frequency deviation within a specified range. Initially, a single-area thermal system is considered to design a non-fragile proportional-integral-derivative (NFZ-PID) controller. To analyze the stability of the system, Routh– Kharitonov theorem is taken into account during the optimization operation to ensure system stability and system response. This experiment has been carried out by a popular optimization technique such as chaotic opposition krill herd algorithm. However, the main objective of this article is to design a NFZ-PID controller as new control strategy for the said thermal-solar-wind system under deregulated scenario. The proposed NFZ-PID controller assures that frequency deviation and tie-line power under step load disturbances is settled down to zero in minimum definite time. Moreover, robustness test is performed to validate controller's robustness at large changes in system parameters, under RLP type of load.

Keywords:

• Automatic generation control (AGC)
• Chaotic opposition krill herd optimization
• NFZ-PID
• Renewable sources (solar and wind)
• Tesla power wall battery (TPWA)
• Three-area deregulated system

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Soumen Biswas

Soumen Biswas was born in Kalyani, West Bengal, India, in 1986. He obtained MTech degree in electrical engineering from Indian Institute of Technology Kharagpur in 2013. He is working as assistant professor in Electrical Engineering Department at Dr BC Roy Engg College, West Bengal, India. His research interest includes FACTS, automatic generation control, deregulated power system stability, evolutionary computing techniques, etc.

Provas Kumar Roy

Provas Kumar Roy obtained PhD degree in electrical engineering from National Institute of Technology Durgapur in 2011. He received his master's degree in electrical machines in 2001 from Jadavpur University. He finished his engineering studies in electrical engineering from Regional Engineering College (presently known as National Institute of Technology) Durgapur. Presently, he is working as a professor in Electrical Engineering Department at Kalyani Government Engineering College, West Bengal, India. He is the recipient of the Outstanding Reviewer Award for IJEPES (Elsevier, 2018), EAAI (Elsevier, 2017), Renewable Energy Focus (Elsevier, 2018), and ASEJ (Elsevier, 2017). He has published more than 175 research papers in national/international journals and conferences and more than 75 journals published in reputed SCI and Scopus indexed journals, and more than 10 book chapters and two books of international standard. Six research scholars have obtained their PhD degree under his guidance and eight students are perusing their PhD under his guidance. His research interest includes economic load dispatch, optimal power flow, FACTS, automatic generation control, radial distribution network, PSS, image processing, machine learning, evolutionary techniques, etc. Email: [email protected]

Kalyan Chatterjee

Kalyan Chatterjee was born in Durgapur, West Bengal, India, in 1974. He obtained PhD degree in electrical engineering from BIT Mesra in the year of 2005. He is working as associate professor in Electrical Engineering Department at Indian Institute of Technology, Dhanbad, Jharkhand, India. He has published more than 35 research papers in national/international conference records/journals. He has more than 34 articles published in reputed SCI journals. Five research scholars have obtained their PhD degree under his guidance and 16 students are pursuing PhD. Email: [email protected]