Regular Article

Modelling and operation of electrical grids considering techno-economic multi-objective functions

¹ Manipur International University, Imphal, Manipur, India
² Department of Electrical Engineering Techniques, Al-Amarah University College, Maysan, Iraq
³ Department of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, Kingdom of Saudi Arabia
⁴ Department of Electrical and Electronics Engineering, School of Engineering and Technology, JAIN (Deemed to be University), Bangalore, Karnataka, India
⁵ Department of Electronics and Communication Engineering, Chandigarh College of Engineering, Chandigarh Group of Colleges-Jhanjeri, Mohali 140307, Punjab, India
⁶ NIMS School of Electrical and Electronics Engineering, NIMS University Rajasthan, Jaipur, Rajasthan, India
⁷ Department of ECE, Raghu Engineering College, Visakhapatnam, Andhra Pradesh 531162, India
⁸ Department of Management, Al-Nisour University College, Nisour Seq. Karkh, Baghdad, Iraq
⁹ Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq
¹⁰ Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq
¹¹ Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq
¹² Department of Renewable Energy, United Arab Emirates University, Abu Dhabi, United Arab Emirates

^* Corresponding author: amjad.ac.ali@gmail.com

Received: 1 June 2024
Accepted: 21 August 2024

Abstract

Analysing the functionality of electrical systems allows for an evaluation of the characteristics of different power sources over varying periods and enables the coordination of multiple units. This is crucial for assessing the effects of uncertainty on the system considering load and energy generation for the effectiveness of power system monitoring and smart scheduling and cost-effectiveness of electrical grid operation. This research introduces an approach for simulating the operation of an electrical grid considering different time scales based on economic and technical indices. First, a series of standard source load scenarios is established. Subsequently, multiple scenarios are produced to show the stochastic nature of renewable energy and demand and utilise the probability features of uncertain data. The system described in this paper shifts the power balance issue from a yearly scale to weekly and daily electricity balances based on different time scales. The performance of the stochastic simulation solution is significantly enhanced by effectively coordinating in different time periods. The total coal consumption, economic index, abandoned renewable energy, and the rate of abandoned renewable energy are all closely monitored to maintain a high level of accuracy in reflecting the system’s performance.