FV-termal güç sistemlerinde balina optimizasyon algoritması tabanlı otomatik üretim kontrolörü

Yıl 2023, Cilt: 38 Sayı: 2, 915 - 926, 07.10.2022

Özay Can , Hasan Eroğlu , Ali Öztürk

https://doi.org/10.17341/gazimmfd.984019

Cited By: 1

Öz

Güç sistemlerinde üretilen güç ile tüketilen güç arasında denge sağlanması amacıyla otomatik üretim kontrolü (OÜK) adı verilen bir kontrol sürecinin gerçekleştirilmesi gerekmektedir. Rüzgâr türbinleri (RT) ve fotovoltaik (FV) paneller gibi yenilenebilir enerji kaynaklarının (YEK) kullanımının artması bu süreci daha zor hale getirmektedir. Bu nedenle, OÜK sürecinin daha hassas bir şekilde gerçekleştirilmesi gerekmektedir. Bu çalışmada, fotovoltaik (FV) sistem ve termal generatörden meydana gelen hibrit bir güç sisteminde OÜK işlemi için balina algoritması (BA) kullanılarak PID kontrolörün parametrelerinin belirlenmesi amaçlanmıştır. Alan-1 ve alan-2’de meydana gelen yük değişimleri durumunda amaçlanan BA ayarlı PID kontrolörün performansının yeterliliği incelenmiştir. Ayrıca, ateşböceği algoritması (ABA), genetik algoritma (GA) ve aşırı nüfus optimizasyonu (ANO) gibi optimizasyon tekniklerinin performanslarıyla bir karşılaştırma yapılmıştır. Elde edilen sonuçlar, çalışmada önerilen BA ayarlı PID kontrolörün, sistem frekansının aşma değeri ve oturma süresi bakımından diğer yöntemlere göre daha iyi sonuçlar verdiğini göstermiştir.

Anahtar Kelimeler

Otomatik üretim kontrolü (OÜK), balina algoritması (BA), PID kontrolör, FV sistem, frekans sapması

The automatic generation controller based on whale optimization algorithm in PV-thermal power systems

Öz

To ensure a balance between the power generated and the consumed power in power systems, a control process namely automatic generation control (AGC) must be carried out. This process becomes more challenging due to increasing use of renewable energy sources (RES) such as wind turbines (WT) and photovoltaic (PV) panels. Therefore, AGC needs to be performed more sensitively. In this study, it has been aimed to determine the parameters of the PID controller by using the whale optimization algorithm (WOA) for the AGC in a hybrid power system consisting of photovoltaic (PV) system and thermal generator. The performance of WOA tuned PID controller is tested under load change in area-1 and area-2. Additionally, comparisons have been made with the performances of other optimization techniques such as firefly algorithm (FA), genetic algorithm (GA) and population extremal algorithm (PEO). The results obtained indicated that the WOA tuned PID controller proposed in the study gave better results than the other methods in terms of overshoot values and settling time of system frequency.

Anahtar Kelimeler

Automatic generation control (AGC), whale optimization algorithm (WOA), PID controller, PV system, frequency deviation

Kaynakça

• Saadat H., Power System Analysis, McGraw-Hill, New-York, A.B.D., 1999.
• Kundur P., Power System Stability and Control, McGraw-Hill, New-York, A.B.D., 1994.
• Civelek Z., Gorel G., Luy M., Barısci N., Cam E., Effects on Load-Frequency Control of a Solar Power System with a Two-Area Interconnected Thermal Power Plant and its Control with a New BFA Algorithm, Elektronika ir Elektrotechnika, 24 (6), 3-10, 2018.
• Abd-Elazim S.M., Ali E.S., Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm, Neural Computing and Applications, 30 (2), 607-616, 2018.
• Babu N.R., Saikia L.C., Bhagat S.K., Ramoji S.K., Dekaraja B., Behra M.K., LFC of a Solar Thermal Integrated Thermal System Considering CSO Optimized TI-DN Controller, Modeling, Simulation and Optimization, Cilt: 206, Editör: Das B., Patgiri R., Bandyopadhyay S., Balas V.E., Springer, Singapore, 2021.
• Pilla R., Botcha N., Gorripotu T.S., Azar A.T., Fuzzy PID Controller for Automatic Generation Control of Interconnected Power System Tuned by Glow-Worm Swarm Optimization, International Conference on Application of Robotics in Industry using Advanced Mechanisms, Springer, Cham, 140-149, 2019.
• Agwa A.M., Equilibrium optimization algorithm for automatic generation control of interconnected power systems, Przegląd Elektrotechniczny, 96, 2020.
• Mohanty D., Panda S., Frequency control of hybrid power system by sine function adapted improved whale optimisation technique, International Journal of Ambient Energy, 1-18, 2020.
• Davtalab S., Tousi B., Nazarpour D., Optimized Intelligent Coordinator for Load Frequency Control in a Two-Area System with PV Plant and Thermal Generator, IETE Journal of Research, 1-11, 2020.
• Ghosh A., Ray A.K., Nurujjaman M., Jamshidi M., Voltage and frequency control in conventional and PV integrated power systems by a particle swarm optimized Ziegler–Nichols based PID controller, SN Applied Sciences, 3 (3), 1-13, 2021.
• Padhy S., Panda S., Application of a simplified Grey Wolf optimization technique for adaptive fuzzy PID controller design for frequency regulation of a distributed power generation system, Protection and Control of Modern Power Systems, 6 (1), 1-16, 2021.
• Abubakr H., Hussein M.M., Mohamed T.H., Frequency Stabilization of Two Area Power System Interconnected by AC/DC Links using Jaya Algorithm, International Journal of Advanced Science and Technology, 29 (1), 548-559, 2020.
• Sharma G., Krishnan N., Arya Y., Panwar A., Impact of ultracapacitor and redox flow battery with JAYA optimization for frequency stabilization in linked photovoltaic‐thermal system, International Transactions on Electrical Energy Systems, 31 (5), e12883, 2021.
• Kheshti M., Ding L., Askarian‐Abyaneh H., Singh A.R., Zare S., Terzija V., Improving frequency regulation of wind‐integrated multi‐area systems using LFA‐fuzzy PID control, International Transactions on Electrical Energy Systems, 31 (3), e12802, 2021.
• Arya Y., Automatic generation control of two-area electrical power systems via optimal fuzzy classical controller, Journal of the Franklin Institute, 355 (5), 2662-2688, 2018.
• Zeng G.Q., Xie X.Q., Chen M.R., An Adaptive Model Predictive Load Frequency Control Method for Multi-Area Interconnected Power Systems with Photovoltaic Generations, Energies, 10 (11), 1840, 2017.
• Ramachandran R., Satheesh Kumar J., Madasamy B., Veerasamy V., A hybrid MFO‐GHNN tuned self‐adaptive FOPID controller for ALFC of renewable energy integrated hybrid power system, IET Renewable Power Generation, 15 (7), 1582-1595, 2021.
• Mohamed E.A., Ahmed E.M., Elmelegi A., Aly M., Elbaksawi O., Mohamed A.A.A., An optimized hybrid fractional order controller for frequency regulation in multi-area power systems, IEEE Access, 8, 213899-213915, 2020.
• Babu N.R., Saikia L.C., Bhagat S.K., Ramoji S.K., Raja D., Behera M.K., Impact of Wind System and Redox Flow Batteries on LFC Studies under Deregulated Scenario, 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies, 1-6, IEEE, 2021.
• Latif A., Hussain S.M.S., Das D.C., Ustun T.S., Optimization of Two-Stage IPD-(1+I) Controllers for Frequency Regulation of Sustainable Energy Based Hybrid Microgrid Network, Electronics, 10, 919, 2021.
• Pradhan P.C., Sahu R.K., Panda S., Analysis of hybrid fuzzy logic control based PID through the filter for frequency regulation of electrical power system with real-time simulation, Journal of Control, Automation and Electrical Systems, 32 (2), 439-457, 2021.
• Arya Y., AGC of PV-thermal and hydro-thermal power systems using CES and a new multi-stage FPIDF-(1+PI) controller, Renewable energy, 134 (C), 796-806, 2019.
• Mohanty P., Sahu R.K., Panda S., A novel hybrid many optimizing liasisons gravitational search algorithm approach for AGC of power systems, Automatika, 61 (1), 158-178, 2020.
• Sahoo P.K., Mohapatra S., Gupta D.K., Panda S., Multi Verse Optimized Fractional Order PDPI Controller for Load Frequency Control, IETE Journal of Research, 2020.
• Li Y., Han T., Han B., Zhao H., Wei Z., Whale Optimization Algorithm with Chaos Strategy and Weight Factor, Journal of Physics: Conference Series, 1213, 2019.
• Nasiri J., Khiyabani FM., A whale optimization algorithm (WOA) approachfor clustering, Cogent Mathematics & Statistics, cs, 5:1, :1482565, 2018.
• Mirjalili S., Lewis A., The Whale Optimization Algorithm, Advances in Engineering Software, 95, 51-67, 2016.