A novel TID + IDN controller tuned with coatis optimization algorithm under deregulated hybrid power system
Status PubMed-not-MEDLINE Language English Country England, Great Britain Media electronic
Document type Journal Article
Grant support
CZ.10.03.01/00/22_003/0000048
European Union - REFRESH Project via the Operational Programme Just Transition
TN02000025
National Centre for Energy II and ExPEDite Project
101139527
ExPEDite through European Union's Horizon Mission Programme
PubMed
39924614
PubMed Central
PMC11808091
DOI
10.1038/s41598-025-89237-0
PII: 10.1038/s41598-025-89237-0
Knihovny.cz E-resources
- Keywords
- Coatis optimization algorithm (COA), Improved squirrel search algorithm (ISSA), Independent system operator (ISO), Integral derivative with a first-order filter effect (IDN), Integral time multiplied by absolute error (ITAE), Load frequency control (LFC), PID, Particle swarm optimization (PSO), Squirrel search algorithm (SSA), Tilted integral derivative controller (TID),
- Publication type
- Journal Article MeSH
Implementing a suitable load frequency controller to maintain the power balance equation for a multi-area system with many power generating units poses a challenge to a power system engineer. Incorporation of renewable energy sources along with non-renewable units is another challenge while maintaining the stability of the system. Hence a robust intelligent controller is an essential requirement to achieve the objective of automatic load frequency control. This article introduces a novel and efficient controller designed for a three-control area within a deregulated multi-source energy system. The three areas include diverse power generation sources: Area 1 integrates thermal units, hydro units, and solar thermal power plants. In Area 2, there is a combination of distributed solar technology (DST) with thermal and hydro units. Area 3 incorporates a geothermal power plant alongside thermal and hydro unit. The proposed controller is a parallel combination of the tilted integral derivative controller (TID) and the integral derivative with a first-order filter effect (IDN). The controller's parameters are optimized using an advanced Coatis Optimization Algorithm (COA). High effective efficiency and absence of control parameters are the key advantages of Coatis Optimization Algorithm. The article highlights the superior performance of the newly developed TID + IDN controller in comparison to standalone TID and IDN controllers. This assessment is based on the observation of dynamic responses across different controller configurations. Additionally, the study examines the system's behaviour when incorporating energy storage units such as Redox Flow Batteries (RFB). Furthermore, the research investigates the system under various power transactions in a deregulated environment, considering generation rate constraints and governor dead bands. The proposed approach's robustness is demonstrated by subjecting it to extensive variations in system parameters and random load fluctuations. In summary, this paper presents an innovative TID + IDN controller optimized using a novel Coatis Optimization Algorithm within a three-area hybrid system operating in a deregulated context. Considering the poolco transaction and implementing the COA optimized TID + IDN controller with an error margin of 0.02%, the value of the objective function, ITAE for the transient responses is 0.1233. This value is less than the value obtained in other controllers optimized with different optimization techniques. In case of poolco transaction, the settling time of deviation of frequency in area-1, deviation of frequency in area-2, and deviation of frequency in area-3 are 8.129, 3.72, and 2.254 respectively. As compared to other controllers, the transient parameters are better in case of this proposed controller.
College of Engineering University of Business and Technology Jeddah 21448 Saudi Arabia
Department of Electrical Engineering Graphic Era Dehradun 248002 India
ENET Centre CEET VSB Technical University of Ostrava Ostrava 708 00 Czech Republic
Hourani Center for Applied Scientific Research Al Ahliyya Amman University Amman Jordan
School of Electrical Engineering Kalinga Institute of Industrial Technology Bhubaneswar 751024 India
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