Multi-Objective Dynamic Economic and Emission Generation Scheduling of Coordinated Power System Considering Renewable Energy Sources and Pumped Storage Hydro Plants via Fuzzy Surrogate-Assisted Coronavirus Herd Immunity Optimization

Abstract

Globally, the power generation from renewable energy sources (RES) has received considerable attention to reduce pollutant emissions and the total operating costs of power generation. In this context, this study aims to extend the multi-objective dynamic economic and emission dispatch (MODEED) problem by incorporating RES and pumped storage hydro plants. The complex constrained MODEED problem is solved by a fuzzy surrogate-assisted coronavirus herd immunity optimization (FSACHIO) algorithm in which a self-adaptive speed factor and Lévy flight mechanism are utilized to ensure populace diversity, prevent premature convergence and achieve an ideal stability among the exploration and exploitation of the algorithm. Surrogate worth tradeoff methodology is used to discover a solution that provides the optimal balance between the objectives such as operating expenses and emission pollutants. The performance of FSACHIO algorithm is validated on a small-scale and a large-scale test systems, involving 10-unit, and 40-unit test systems, and compared with that of the coronavirus herd immunity optimization, red fox optimizer, Remora optimization algorithm, and other erstwhile approaches. Besides, a fuzzy constraint handling method based on a dominance relationship is integrated to fulfill the restrictions of the MODEED problem. The simulation results reveal that: (i) the operating costs and emissions are reduced by 173785.54 $/day and 2992.1848 lb/day in the small-scale test system and by 6383.9903 $/day and 216631.4877 lb/day in the large-scale test system, respectively for the MODEED problem with the presence of RES and pumped storage hydro plants; (ii) the suggested approach may offer a well-distributed Pareto-optimal frontier and superior tradeoffs among the operating expenses and pollution objectives in comparison to the other approaches.

Keywords:

• complementary power dispatch
• coronavirus herd immunity optimization
• dynamic economic emission dispatch
• fuzzy surrogate tradeoff approach
• pumped storage hydro plants
• wind power generation

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

V. P. Sakthivel

V. P. Sakthivel received the B.E. degree in Electrical and Electronics Engineering (EEE) from Madras University, in 2001, the M.E. degree in Power Systems from Anna University, in 2004, and the Ph.D. degree from Annamalai University, in 2012. He is currently an Assistant Professor with the Department of EEE, Government College of Engineering, Dharmapuri, India. He has 21 years of experience in teaching and research with specialization in electrical machine design, heuristic algorithms for power system optimization, and image fields. He has published over 100 learned international journals.

S. Nirmal Kumar

S. Nirmal Kumar received the B.E. degree in EEE from Anna University in 2010 and the M.E. degree in Power Systems Engineering from Thiagarajar College of Engineering, India, in 2014. Currently, he is working as an Assistant Professor in EEE at Government College of Engineering Dharmapuri, India, and pursuing his Ph.D under part-time mode in Anna University. His area of interest includes dynamic economic dispatch, neural networks and image processing. He is also a member of professional body ISTE.

P. D. Sathya

P. D. Sathya received the B.E. degree in Electronics and Communication Engineering from Periyar University, in 2003, the M.E. degree in Applied Electronics from Anna University, in 2005, and the Ph.D. degree from Annamalai University, India, in 2012. She is currently an Assistant Professor with the Department of Electronics and Communication Engineering, Annamalai University. She has 20 years of experience in teaching. Her research interests include signal processing, image and video processing, and antenna design. She has published more than 80 research articles in reputed international journals.