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Real-Time Solution of PSS Parameter Tuning by GA-ANFIS in Stabilizing the Electrical Power System. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING 2023. [DOI: 10.1007/s13369-023-07666-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/04/2023]
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Design of fractional comprehensive learning PSO strategy for optimal power flow problems. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Pandya S, Jangir P, N. Trivedi I. Multi-objective Moth Flame Optimizer: A Fundamental Visions for Wind Power Integrated Optimal Power Flow with FACTS Devices. SMART SCIENCE 2021. [DOI: 10.1080/23080477.2021.1964693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Sundaram Pandya
- Department of Electrical Engineering, S. V. National Institute of Technology, Surat, India
| | - Pradeep Jangir
- Department of Electrical Engineering, RRVPNL, Sikar, India
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Muhammad Y, Akhtar R, Khan R, Ullah F, Raja MAZ, Machado JAT. Design of fractional evolutionary processing for reactive power planning with FACTS devices. Sci Rep 2021; 11:593. [PMID: 33436809 PMCID: PMC7804412 DOI: 10.1038/s41598-020-79838-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2019] [Accepted: 05/21/2020] [Indexed: 01/29/2023] Open
Abstract
Reactive power dispatch is a vital problem in the operation, planning and control of power system for obtaining a fixed economic load expedition. An optimal dispatch reduces the grid congestion through the minimization of the active power loss. This strategy involves adjusting the transformer tap settings, generator voltages and reactive power sources, such as flexible alternating current transmission systems (FACTS). The optimal dispatch improves the system security, voltage profile, power transfer capability and overall network efficiency. In the present work, a fractional evolutionary approach achieves the desired objectives of reactive power planning by incorporating FACTS devices. Two compensation arrangements are possible: the shunt type compensation, through Static Var compensator (SVC) and the series compensation through the Thyristor controlled series compensator (TCSC). The fractional order Darwinian Particle Swarm Optimization (FO-DPSO) is implemented on the standard IEEE 30, IEEE 57 and IEEE 118 bus test systems. The power flow analysis is used for determining the location of TCSC, while the voltage collapse proximity indication (VCPI) method identifies the location of the SVC. The superiority of the FO-DPSO is demonstrated by comparing the results with those obtained by other techniques in terms of measure of central tendency, variation indices and time complexity.
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Affiliation(s)
- Yasir Muhammad
- grid.418920.60000 0004 0607 0704Department of Electrical and Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, 47040 Pakistan ,Department of Computer Science and Software Engineering, Pak-Austria Fachhochschule: Institute of Applied Science and Technology, Haripur, 22620 Pakistan
| | - Rizwan Akhtar
- Department of Computer Science and Software Engineering, Pak-Austria Fachhochschule: Institute of Applied Science and Technology, Haripur, 22620 Pakistan
| | - Rahimdad Khan
- grid.418920.60000 0004 0607 0704Department of Electrical and Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt, 47040 Pakistan
| | - Farman Ullah
- grid.418920.60000 0004 0607 0704Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock, 43600 Pakistan
| | - Muhammad Asif Zahoor Raja
- grid.418920.60000 0004 0607 0704Department of Electrical and Computer Engineering, COMSATS University Islamabad, Attock Campus, Attock, 43600 Pakistan ,grid.412127.30000 0004 0532 0820Future Technology Research Center, National Yunlin University of Science and Technology, 123 University Road, Section 3, Douliou, Yunlin, 64002 Taiwan, ROC
| | - J. A. Tenreiro Machado
- grid.410926.80000 0001 2191 8636Department of Electrical Engineering, Polytechnic Institute of Porto, 4200-465 Porto, Portugal
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Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network. Neural Comput Appl 2020. [DOI: 10.1007/s00521-020-05453-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Improved chaotic binary grey wolf optimization algorithm for workflow scheduling in green cloud computing. EVOLUTIONARY INTELLIGENCE 2020. [DOI: 10.1007/s12065-020-00479-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Differential evolution based global best algorithm: an efficient optimizer for solving constrained and unconstrained optimization problems. SN APPLIED SCIENCES 2020. [DOI: 10.1007/s42452-020-2426-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022] Open
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Duman S, Li J, Wu L, Guvenc U. Optimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approach. Neural Comput Appl 2019. [DOI: 10.1007/s00521-019-04338-y] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Mehdinejad M, Shayanfar H. Commentary of “Chaotic Krill Herd algorithm for optimal reactive power dispatch considering FACTS devices” by Aparajita Mukherjee et al. “Applied Soft Computing” 44 (2016) 163–190. Appl Soft Comput 2017. [DOI: 10.1016/j.asoc.2017.08.040] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Heidari AA, Ali Abbaspour R, Rezaee Jordehi A. Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems. Appl Soft Comput 2017. [DOI: 10.1016/j.asoc.2017.04.048] [Citation(s) in RCA: 75] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Optimal reactive power dispatch by improved GSA-based algorithm with the novel strategies to handle constraints. Appl Soft Comput 2017. [DOI: 10.1016/j.asoc.2016.11.008] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Das B, Mukherjee V, Das D. DG placement in radial distribution network by symbiotic organisms search algorithm for real power loss minimization. Appl Soft Comput 2016. [DOI: 10.1016/j.asoc.2016.09.015] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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