Next Generation Heffron-Phillips Model for Damping Power System Oscillations based on a Novel Meta-Heuristic Snake Optimization Algorithm
Keywords:
Algorithm, Model, Damping, Objective function, Oscillations, StabilityAbstract
Low-Frequency Oscillations (LFO) created due to various disturbances affect the integrity, security, efficiency, and safety of the power system. The traditional Heffron-Phillips (HP) Model of a power system has 6-K-Constants and the state vector is composed of only four state variables. In the present work, a higher-order Synchronous Machine Model 1.1 is used to develop the next-generation HP Model called an Advanced Heffron-Phillips Model (AHPM). There are now 5 state variables and 10 K-Constants including the dynamics of d and q-axis internal voltages. A novel meta-heuristic snake optimization algorithm (SOA) with the key features of exploration and exploitation is used for optimizing the parameters of PSS, TCSC, and Coordinated PSS and TCSC, and the results are compared. The coordinated model based on AHPM produced excellent stability results. The system oscillations died out fastest, with a settling time of less than 2 seconds, and a damping ratio as high as 99.30% is achieved with the coordinated model. Together with the graphical responses, the dominant eigenvalues are mentioned to highlight this notable shift in performance. The system’s power transfer capacity is also improved along with stability. The integration of renewables into the grid creates new stability issues and challenges. This AHPM based on SOA is capable of meeting these challenges. The power grid with AHPM is more efficient, robust, secure, and safe against unpredictable operating conditions with renewables.
References
S. Panda, S. C. Swain, A.K. Baliarsingh ,and C.Ardil.” Optimal Supplementary Damping Controller Design for TCSC Employing RCGA. World Academy of Science,” Engineering and Technology, International Journal of Electrical and Computer Engineering,2011;11:1600-9.
Sidhartha Panda, “Differential Evolution algorithm for TCSC-based Controller Design”, Simulation Modelling Practice and Theory, 2009,17:1618-34.
M.A. Abido, “Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing, Electrical Power and Energy Systems,2000;22; 543-54.
M.Kashki, Y.L. Abdel-Magid, and M.A. Abido, “Pole-Placement Approach for Robust Optimum Design of PSS and TCSC-Based Stabilizers Using Reinforcement Learning Automata,” Springer,2010,383-94.
R. Gandotra, and K. Pal. FACTS Technology: A Comprehensive Review on FACTS Optimal Placement and Application in Power System,” Iranian Journal of Electrical and Electronic Engineering,2022; 18(3): 1-14.
Ahmed Hesham, Abd El‑Kareem, Mohamed Abd Elhameed, and Mahmoud M. Elkholy, “Effective damping of local low frequency oscillations in power systems integrated with bulk PV generation,” Protection and Control of Modern Power Systems,2021; 10:1-16.
Adrian Nocon and Stefan Paszek, “A Comprehensive Review of Power System Stabilizer. Energies,” 2023;16:1-32.
Saeed Behzadpoor , Iraj Faraji Davoudkhani Almoataz Youssef Abdelaziz , Zong Woo Geem and Junhee Hong, “Power System Stability Enhancement Using Robust FACTS-Based Stabilizer Designed by a Hybrid Optimization Algorithm,” Energies, 2022;15:1-30.
Prabodh Khampariya , Sidhartha Panda , Hisham Alharbi , Almoataz Y. Abdelaziz and Sherif S. M. Ghoneim, “Coordinated Design of Type-2 Fuzzy Lead–Lag-Structured SSSCs and PSSs for Power System Stability Improvement,” Sustainability, 2022:14:1-21.
Preeti Ranjan Sahu , Rajesh Kumar Lenka , Rajendra Kumar Khadanga , Prakash Kumar Hota , Sidhartha Panda and Taha Selim Ustun, “Power System Stability Improvement of FACTS Controller and PSS Design: A Time-Delay Approach,” Sustainability, 2022; 14:1-23.
S. Kalyani M. Prakash and G. Angeline Ezhilarasi,” Transient Stability Studies in SMIB System with Detailed Machine Models,” International Conference on Recent Advancements in Electrical, Electronics and Control Engineering,2011:459-64.
Preeti Ranjan Sahu, Prakash Kumar Hota, Sidhartha Panda, Rajesh Kumar Lenka, Sanjeevikumar Padmanaban, and Frede Blaabjerg, “Coordinated design of FACTS controller with PSS for stability enhancement using a novel hybrid Whale Optimization algorithm- Nelder Mead approach,” Electric Power Components and Systems, Taylor and Francis Online, 2021;49(16-17):1-28.
Widi Aribowo, “A Novel Improved Sea-Horse Optimizer for Tuning Parameter Power System Stabilizer,” Journal of Robotics and Control, 2023;4(1):12-22.
Widi Aribowo, “Golden Jackal Optimization for Parameters Estimation of Photovoltaic Models,” Science and Technology Asia,2023;28:198-209.
G.Das, R. Panda, L. Samantaray, and S. Agrawal, “A Novel Non-Entropic Objective Function for Multilevel Optimal Threshold Selection Using Adaptive Equilibrium Optimizer,” Iranian Journal of Electrical and Electronic Engineering, 2022;18(2):1-10.
Mohammadreza Jokarzadeh, Mohammad Abedini, and Amir Seifi, "Improving power system damping using a combination of optimal control theory and differential evolution algorithm", ISA Transactions, 2018; 90:169-77.
M. Dodangeh, and N. Ghaffarzadeh, “An Intelligent Machine Learning-Based Protection of AC Microgrids Using Dynamic Mode Decomposition,” Iranian Journal of Electrical and Electronic Engineering,2022;4 :1-9.
Kothai Andal C, and Jayapal R, “Improved GA based power and cost management system in a grid-associated PV-wind system,” International Journal of Power Electronics and Drive Systems,2021;12(4): 2531-44.
Widi Aribowo, Bambang Suprianto, Unit Three Kartini, and Aditya Prapanca,“Dingo optimization algorithm for designing power system stabilizer,” Indonesian Journal of Electrical Engineering and Computer Science,2023; 29(1): 1-7.
Widi Aribowo, Supari Muslim, Bambang Suprianto, and Subuh Isnur Haryudo, Joko, “Tunicate Swarm Algorithm-Neural Network for Adaptive Power System Stabilizer Parameter,” Science and Technology, Asia,2021;26(3):50-61.
Javad Morsali, Kazem Zare, and Mehrdad Tarafdar Hagh, "Applying fractional order PID to design TCSC-based damping controller in coordination with automatic generation control of interconnected multi-source power system,” Engineering Science and Technology, an International Journal,2017;20(1):1-17.
Javad Morsali Kazem Zare and Mehrdad Tarafdar Hagh, “MGSO optimised TID‐based GCSC damping controller in coordination with AGC for diverse‐GENCOs multi‐DISCOs power system with considering GDB and GRC non‐linearity effects," IET Generation, Transmission & Distribution, 2017;11(1):193-208.
Aprajita Salgotra and Somnath Pan, "A frequency domain model‐based design of PSS and TCSC controller for damping the small signal oscillations in the power system," International Transactions on Electrical Energy Systems, 2019;29(3):1-10.
Maxwell Martins de Menezes, Percival Bueno de Araujo & Danilo Basseto do Valle, "Design of PSS and TCSC Damping Controller Using Particle Swarm Optimization", Journal of Control, Automation and Electrical Systems, 2016; 27:554-61.
Kazem Zare, Mehrdad Tarafdar Hagh, and Javad Morsali, “Effective oscillation damping of an interconnected multi-source power system with automatic generation control and TCSC," International Journal of Electrical Power & Energy Systems, 2015;65: 220-30.
Mohsen Bakhshi, Mohammad Hosein Holakooie, and Abbas Rabiee, “Fuzzy based damping controller for TCSC using local measurements to enhance transient stability of power systems," International Journal of Electrical Power & Energy Systems, 2017; 85:12-21.
Yonghui Nie, Yidan Zhang, Yan Zhao, Binbin Fang, and Lili Zhang, “Wide-area optimal damping control for power systems based on the ITAE criterion,” International Journal of Electrical Power & Energy Systems, 2019,106(4):192-200.
Arnat Watanasungsuit, Noppakun Sangkhiew,Choat Inthawongse, and Peerapop Jomtong, “A Modified AHP for Large-scale MCDM:a Case of Power Station Construction Project Selection,” Science and Technology, Asia, 2023,28: 220-30.
Thanwadee Chinda, Rubporn Boonnak, Sakawan Chantabutr, and Suthasinee Rasrungsan,” Environmental Perspectives of Electric Vehicles in Thailand: Advantages and Challenges,” Science and Technology, Asia,2023;28:88-99.
KR Padiyar, “Power system dynamics stability and control,” B.S. Publications, second edition. 2008.
P.R. Gandhi, and S.K. Joshi, “GA and ANFIS based Power System Stabilizer,” IEEE,2013:1-7.
P. R. Gandhi, and S. K. Joshi, “Soft Computing Techniques for Designing of Adaptive Power System Stabilizer,” IEEE;2019:1-4.
P.R. Gandhi, and S. K. Joshi, “Design of Power System Stabilizer using Genetics Algorithm based Neural Network,” International Journal on Electrical Engineering, 2014;14(2):1-13.
Anand Patel, and P. R. Gandhi, “Damping Low Frequency Oscillations using PSO Based Supplementary Controller and TCSC,” International Conference on Power Energy, Environment and Intelligent Control, IEEE,2018;38-43.
P.R. Gandhi, and S. K. Joshi, “Smart Control Techniques for design of TCSC and PSS for stability enhancement of dynamical Power System,” Applied Soft Computing, Elsevier,2014; C:664-68.
Anand Patel, and P.R. Gandhi, “Damping Oscillations in Detail Model of Synchronous Generator using PSO based PSS,” IEEE, 2017:1-6.
Fatma A. Hashim and Abdelazim G. Hussien , “Snake Optimizer: A novel meta-heuristic optimization algorithm,” Elsevier, Knowledge-Based Systems,2022;242:1-34.
Hayder Okab Alwan, “A novel approach for coordinated design of TCSC controller and PSS for improving dynamic stability in power systems,” Periodicals of Engineering and Natural Sciences ,2023;11(2):102-16.
Sidhartha Panda, and N. P. Padhy, Coordinated Design of TCSC Controller and PSS Employing Particle Swarm Optimization Technique, International Journal of Electrical and Computer Engineering,2007; 1(4):698-706.
Davut İZCİ, “A novel modified arithmetic optimization algorithm for power system stabilizer design,” Sigma Journal of Engineering and Natural Sciences,2022; 40(3): 529-41.
Davut Izci, “A novel improved atom search optimization algorithm for designing power system stabilizer,” Evolutionary Intelligence,2022;15:2089-103.
Serdar Ekinci, Davut İzci, and Baran Hekimoğlu, “Implementing the Henry Gas Solubility Optimization Algorithm for Optimal Power System Stabilizer Design,” Electrica,2021;21(2): 1-9.
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