Real Power Loss Reduction by Billfish and Red Mullet Optimization Algorithms
Keywords:
Optimal reactive power, transmission loss, Billfish, Red Mullet.Abstract
In this paper Billfish Optimization Algorithm (BOA) and Red Mullet Opti-
mization (RMO) Algorithm has been designed for voltage stability enhance-
ment and power loss reduction. Electrical Power is one among vital need in
the society and also it plays lead role in formation of smart cities. Continuous
power supply is essential and mainly quality of the power should be main-
tained in good mode. In this work real power loss reduction is key objective.
Natural hunting actions of Billfish over pilchards are utilized to model the
algorithm. Candidate solutions in the projected algorithm are Billfish and
population in the exploration space is arbitrarily engendered. Movement of
Billfish is high, it will attack the pilchards vigorously and it can’t escape
from the attack done by the group of Billfish. Then in this paper Red Mullet
Optimization (RMO) Algorithm is proposed to solve optimal reactive power
problem. Projected RMO algorithm modeled based on the behavior and
characteristics of red mullet. As a group they hunt for the prey and in each
group there will be chaser and blocker. When the prey approaches any one
of the blocker red mullet then automatically it will turn as new chaser. So
roles will interchangeable and very much flexible. At any time chaser will
become blocker and any of the blocker will become a chaser with respect to
prey position and conditions. Then in that particular area when all the preys
are hunted completed then red mullet group will change the area. So there will be flexibility and changing the role quickly with respect to prey position.
Alike to that with reference to the fitness function the particle will be chosen
as chaser. By means of considering L (voltage stability) - index BOA, and
RMO algorithms verified in IEEE 30- bus system. Then without L-index
BOA and RMO algorithms is appraised in 30 bus test systems. Both BOA and
RMO algorithms condensed the power loss proficiently with improvement in
voltage stability and minimization of voltage deviation
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References
K. Y. Lee. (1984). “Fuel-cost minimisation for both real and reactive-
power dispatches,” Proceedings Generation, Transmission and Distribu-
tion Conference, vol/issue: 131(3), pp. 85–93.
N. I. Deeb. (1998). “An efficient technique for reactive power dispatch
using a revised linear programming approach,” Electric Power System
Research, vol/issue: 15(2), pp. 121–134.
M. R. Bjelogrlic, M. S. Calovic, B. S. Babic. (1990). ”Application of
Newton’s optimal power flow in voltage/reactive power control”, IEEE
Trans Power System, vol. 5, no. 4, pp. 1447–1454.
S. Granville. (1994). “Optimal reactive dispatch through interior
point methods,” IEEE Transactions on Power System, vol/issue: 9(1),
pp. 136–146. http://dx.doi.org/10.1109/59.317548
N. Grudinin. (1998). “Reactive power optimization using successive
quadratic programming method,” IEEE Transactions on Power System,
vol/issue: 13(4), pp. 1219–1225. http://dx.doi.org/10.1109/59.736232.
Kamel, Salah, Abdel-Fatah, Said, Ebeed, Mohamed, Yu, Juan, Xie,
Kaigui, Zhao, Chenyu. (2019). Solving Optimal Reactive Power Dis-
patch Problem Considering Load Uncertainty. 10.1109/ISGT-Asia.20
8881322.
Biplab Bhattacharyya and Nihar Karmakar (2019) Optimal Reactive
Power Management Problem: A Solution Using Evolutionary Algo-
rithms, IETE Technical Review, DOI: 10.1080/02564602.2019.1675541
S. Kamel, S. Abdel-Fatah, M. Ebeed, J. Yu, K. Xie and C. Zhao,
“Solving Optimal Reactive Power Dispatch Problem Considering Load
Uncertainty,” 2019 IEEE Innovative Smart Grid Technologies – Asia
(ISGT Asia), Chengdu, China, 2019, pp. 1335–1340, doi: 10.1109/ISGT-
Asia.2019.8881322.
L. Kanagasabai
TM Aljohani, AF Ebrahim, O Mohammed Single (2019) “Multiob-
jective Optimal Reactive Power Dispatch Based on Hybrid Artificial
Physics–Particle Swarm Optimization”, Energies, 12(12), 2333; https:
//doi.org/10.3390/en12122333
Ram Kishan Mahate, and Himmat Singh. (2019). Multi-Objective Opti-
mal Reactive Power Dispatch Using Differential Evolution. Interna-
tional Journal of Engineering Technologies and Management Research,
(2), 27–38. http://doi.org/10.5281/zenodo.2585477.
Nguyen, Thang Trung, Vo, Dieu Ngoc, “Improved social spider opti-
mization algorithm for optimal reactive power dispatch problem with
different objectives” Neural Computing and Applications, VL – 32, IS –
, https://doi.org/10.1007/s00521-019-04073-4
Yang, S., Wang, W., Liu, C. et al. Optimal reactive power dispatch of
wind power plant cluster considering static voltage stability for low-
carbon power system. J. Mod. Power Syst. Clean Energy 3, 114–122
(2015). https://doi.org/10.1007/s40565-014-0091-x
S. Emiroglu, Y. Uyaroglu, G. Ozdemir, “Distributed Reactive Power
Control based Conservation Voltage Reduction in Active Distribution
Systems,” Advances in Electrical and Computer Engineering, vol. 17,
no. 4, pp.99–106, 2017, doi:10.4316/AECE.2017.04012
Mojtaba Ghasemi, Mahdi Taghizadeh, Sahand Ghavidel, Jamshid
Aghaei, Abbas Abbasian, “Solving optimal reactive power dispatch
problem using a novel teaching–learning-based optimization algo-
rithm”, Engineering Applications of Artificial Intelligence, Volume 39,
Pages 100–108, 2015.
Wei, Yan-Ling, Nguyen, Thang Trung, Vo, Dieu Ngoc, Van Tran, Hai,
Van Dai, Le, “Optimal Dispatch of Reactive Power Using Modified
Stochastic Fractal Search Algorithm”, Complexity, Hindaw, 1076–2787,
A. Padilha-Feltrin, D. A. Quijano Rodezno, and J. R. S. Manto-
vani, “Volt-VAR Multiobjective Optimization to Peak-Load Relief and
Energy Efficiency in Distribution Networks,” IEEE Transactions on
Power Delivery, vol. 30, no. 2, pp. 618–626, Apr. 2015.
I. Khan, Z. Li, Y. Xu, and W. Gu, “Distributed control algorithm for
optimal reactive power control in power grids,” International Journal of
Electrical Power & Energy Systems, vol. 83, pp. 505–513, Dec. 2016.
A. Castillo, P. Lipka, J.-P. Watson, S. S. Oren, and R. P. O’Neill, “A
successive linear programming approach to solving the IV-ACOPF,”
Real Power Loss Reduction by Billfish and Red Mullet Optimization 173
IEEE Transactions on Power Systems, vol. 31, no. 4, pp. 2752–2763,
Jul. 2016.
Olabode, OE, Okakwu, IK, Alayande, AS, Ajewole, TO. A two-stage
approach to shunt capacitor-based optimal reactive power compensa-
tion using loss sensitivity factor and cuckoo search algorithm. Energy
Storage. 2020; 2:e122. https://doi.org/10.1002/est2.122
Biplab Bhattacharyya, Saurav Raj, “Differential Evolution Technique
for the Optimization of Reactive Power Reserves”Journal of Circuits,
Systems and Computers 2017 26:10.
Dutta, S., Roy, P. K., and Nandi, D. (2016). Optimal location of STAT-
COM using chemical reaction optimization for reactive power dispatch
problem. Ain Shams Engineering Journal, 7(1), 233–247. https://doi.or
g/10.1016/j.asej.2015.04.013
Cong Z., Haoyong C., Honwing N., Zipeng L., Manlan G., Dong H.,
Solution of reactive power optimization including interval uncertainty
using genetic algorithm, IET Generation Transmission Distribution,
vol. 11, no. 15, pp. 3657–3664 (2017).
Valipour K., Ghasemi A., Using a new modified harmony search algo-
rithm to solve multi-objective reactive power dispatch in deterministic
and stochastic models, Journal of AI and Data Mining (JAIDM), vol. 5,
no. 1, pp. 89–100 (2017).
Baziareh, Aliasghar et al. ‘Stochastic Reactive Power Planning in Distri-
bution Systems Considering Wind Turbines Electric Power Variations’.
Jan. 2015 : 1081–1087.
Provas Kumar Roy and Susanta Dutta. “Economic Load Dispatch:
Optimal Power Flow and Optimal Reactive Power Dispatch Concept.”
Optimal Power Flow Using Evolutionary Algorithms, IGI Global, 2019,
pp. 46–64. http://doi:10.4018/978--1-5225--6971-8.ch002
Nagendra, P., Halder Nee Dey, S. and Paul, S. (2014), “Voltage stability
assessment of a power system incorporating FACTS controllers using
unique network equivalent”, Ain Shams Eng. J., 5(1), 103–111.
Nagendra, P., Halder Nee Dey, S. and Paul, S. (2015), “Location of static
VAR compensator in a multi-bus power system using unique network
equivalent”, Adv. Energy Res., 3(4), 235–249.
H. Zhang, X. Lei, C. Wang, D. Yue and X. Xie, “Adaptive grid based
multi-objective Cauchy differential evolution for stochastic dynamic
economic emission dispatch with wind power uncertainty,” PLOS ONE,
pp. 1–25, 29 September 2017.
L. Kanagasabai
Li, Jian, Wang, Ni, Zhou, Dao, Hu, Weihao, Huang, Qi, Chen, Zhe,
Blaabjerg, Frede. / Optimal reactive power dispatch of permanent
magnet synchronous generator-based wind farm considering levelised
production cost minimisation. In: Renewable Energy. 2020; Vol. 145.
pp. 1–12.
Rupa JM, Ganesh S (2014) Power flow analysis for radial distribution
system using backward/forward sweep method. Inter J Electr, Comput,
Electron Commun Eng 8: 1540–1544.
Abdel-Akher M (2013) Voltage stability analysis of unbalanced distribu-
tion systems using backward/forward sweep load-flow analysis method
with secant predictor. IET gener, transm distrib 7: 309–317.
Barakat, A. F., El-Sehiemy, R. A.-A., and Elsaid, M. (2020). Close
Accord on Particle Swarm Optimization Variants for Solving Non-
Linear Optimal Reactive Power Dispatch Problem. International Journal
of Engineering Research in Africa, 46, 88–105. https://doi.org/10.4028/
www.scientific.net/jera.46.88
Shaheen AM, El Sehiemy RA, Farrag SM (2016) Solving multi-
objective optimal power flow problem via forced initialised differential
evolution algorithm. IET Gener Transm Distrib 10(7):1634—1647.
Wang G, Deb S, Gandomi AH, Zhang Z, Alavi AH (2016) Chaotic
cuckoo search. Soft Comput 20:3349—3362.
Wei, H., Lin, C. and Wang, Y. (2018), The optimal reactive power flow
model in mixed polar form based on transformer dummy nodes. IEEJ
Trans Elec Electron Eng, 13: 411–416.
Liu, B., Liu, F., Zhai, B. and Lan, H. (2019), Investigating continuous
power flow solutions of IEEE 14-bus system. IEEJ Trans Elec Electron
Eng, 14: 157–159.
A.M. Ranjbar. “Particle Swarm Optimization Method for Optimal
Reactive Power Procurement Considering Voltage Stability”. Scientia
Iranica, 14, 6, 2007.
Ida Bailey, Julia P. Myatt, Alan M. Wilson. “Group hunting within
the Carnivora: physiological, cognitive and environmental influences on
strategy and cooperation”Behavioral Ecology and Sociobiology, Volume
, Number 1, Page 1, 2013.
Vail AL, Manica A, Bshary R. (2013), “Referential gestures
in fish collaborative hunting”. Natural Communication. 4, 7.
doi:10.1038/ncomms27816.
Real Power Loss Reduction by Billfish and Red Mullet Optimization 175
Vail AL, Manica A, Bshary R. (2014) “Fish choose appropriately when
and with whom to collaborate”. Current. Biology. 24, R791–R793.
doi:10.1016/j.cub.2014.07.033.
Niccolai, Alessandro, Duong, Thanh Long, Duong, Minh, Phan, Van-
Duc, Nguyen, Thang Trung, “Optimal Reactive Power Flow for Large-
Scale Power Systems Using an Effective Metaheuristic Algorithm”,
Journal of Electrical and Computer Engineering, Vol. 20, 1–11, May
, https://doi.org/10.1155/2020/6382507.
H. V. Tran, T. V. Pham, L. H. Pham, N. T. Le, and T. T. Nguyen, “Finding
optimal reactive power dispatch solutions by using a novel improved
stochastic fractal search optimization algorithm,” Telecommunication
Computing Electronics and Control, vol. 17, no. 5, pp. 2517–2526, 2019.
Muhammad Shahzar Saddique, Abdul Rauf Bhatti, Shaikh Saaqib
Haroon, Muhammad Kashif Sattar, Salman Amin, Intisar Ali Sajjad,
Syed Sadam ul Haq, Ahmed Bilal Awan, Nadia Rasheed “Solution to
optimal reactive power dispatch in transmission system using meta-
heuristic techniques—Status and technological review”, Electric Power
Systems Research, Volume 178, 2020, https://doi.org/10.1016/j.epsr.2
106031.
Mugemanyi, Sylvere, Qu, Zhaoyang, Rugema, Francois, Dong, Yun-
chang, Bananeza, Christophe and Wang, Lei, “ Optimal Reactive
Power Dispatch Using Chaotic Bat Algorithm”. IEEE Access. pp. 1–1.
1109/ACCESS.2020.2982988. 2020.
Saddique, M.S., Bhatti, A.R., Haroon, S.S, Sattar, M.K., Amin, S.,
Sajjad, I.A., ul Haq, S.S., Awan, A.B., Rasheed, N “ Solution to optimal
reactive power dispatch in transmission system using meta-heuristic
techniques—Status and technological review.” Electr. Power Syst. Res.
, 178, 106031.
Barzegar, A, Molzahn, D.K, Su, R, “A method for quickly bounding
the optimal objective value of an OPF problem using a semidefinite
relaxation and a local solution”, Electr. Power Syst. Res. 2019, 177,
Ravisekar, R. and Srinivasan, K., Optimal Reactive Power Dispatch
With Series and Shunt Facts Evices Using Sine Cosine Algorithm
(2020). International Journal of Advanced Research in Engineering and
Technology (IJARET), 11 (1), pp. 90–109, 2020.
Khaled Ben Oualid Medania, “Whale Optimization Algorithm Based
Optimal Reactive Power Dispatch: A case study of the Algerian Power
L. Kanagasabai
System” Samir Sayaha Abdelghani Bekrarb, volume 163, pp. 696–705,
Hotaka Yoshida, Yoshikazu Fukuyama, “Parallel Multipopulation Dif-
ferential Evolutionary Particle Swarm Optimization for Voltage and
Reactive Power Control, Electrical Engineering in Japan, volume 204,
issue 3, pp. 31–40, 2018.
Naidji, M, Boudour, M. Stochastic multi-objective optimal reactive
power dispatch considering load and renewable energy sources uncer-
tainties: a case study of the Adrar isolated power system. Int Trans Electr
Energ Syst. 2020;e12374. https://doi.org/10.1002/2050-7038.12374
Y. Zhou, J. Zhang, X. Yang, Y. Ling, “Optimal reactive power dis-
patch using water wave optimization algorithm, Operational Research”,
(2018) 1–17.
Davoodi, E., Babaei, E., Mohammadi-Ivatloo, B., and Rasouli, M.
(2020). A novel fast semidefinite programming-based approach for
optimal reactive power dispatch. IEEE Transactions on Industrial Infor-
matics, 16(1), 288–298. [8720011]. https://doi.org/10.1109/TII.2019.2
Z. Sahli, A. Hamouda, A. Bekrar, and D. Trentesaux, “Hybrid PSO-tabu
search for the optimal reactive power dispatch problem,” in Proceedings
of the IECON 2014—40th Annual Conference of the IEEE Industrial
Electronics Society, Dallas, TX, USA, November 2014.
S. Mouassa, T. Bouktir, and A. Salhi, “Ant lion optimizer for solving
optimal reactive power dispatch problem in power systems,” Engineer-
ing Science and Technology, an International Journal, vol. 20, no. 3,
pp. 885–895, 2017.
B. Mandal and P. K. Roy, “Optimal reactive power dispatch using
quasi-oppositional teaching learning based optimization,” International
Journal of Electrical Power & Energy Systems, vol. 53, pp. 123–134,
H. Khazali and M. Kalantar, “Optimal reactive power dispatch based on
harmony search algorithm,” International Journal of Electrical Power &
Energy Systems, vol. 33, no. 3, pp. 684–692, 2011.
H. V. Tran, T. V. Pham, L. H. Pham, N. T. Le, and T. T. Nguyen, “Finding
optimal reactive power dispatch solutions by using a novel improved
stochastic fractal search optimization algorithm,” Telecommunication
Computing Electronics and Control, vol. 17, no. 5, pp. 2517–2526, 2019.
Real Power Loss Reduction by Billfish and Red Mullet Optimization 177
J. Polprasert, W. Ongsakul, and V. N. Dieu, “Optimal reactive power
dispatch using improved pseudo-gradient search particle swarm opti-
mization,” Electric Power Components and Systems, vol. 44, no. 5,
pp. 518–532, 2016.
Thanh Long Duong, Minh Quan Duong, Van-Duc Phan, Thang Trung
Nguyen, “Optimal Reactive Power Flow for Large-Scale Power Systems
Using an Effective Metaheuristic Algorithm” Hindawi Journal of Elec-
trical and Computer Engineering Volume 2020, Article ID 6382507, 11
pages https://doi.org/10.1155/2020/6382507.
MATPOWER 4.1 IEEE 30-bus and 118-bus test system, http://www.ps
erc.cornell.edu/matpower.
Illinois Center for a Smarter Electric Grid (ICSEG). Available online: ht
tps://icseg.iti.illinois.edu/ieee-30-bussystem/ (accessed on 25 February
.
Dai, C., W. Chen, Y. Zhu and X. Zhang, 2009. Seeker optimization
algorithm for optimal reactive power dispatch. IEEE T. Power Syst.,
(3): 1218–1231.
Subbaraj, P. and P.N. Rajnarayan, 2009. Optimal reactive power dispatch
using self-adaptive real coded Genetic algorithm. Electr. Power Syst.
Res., 79(2): 374–38.
Pandya, S. and R. Roy, 2015. Particle swarm optimization based opti-
mal reactive power dispatch. Proceeding of the IEEE International
Conference on Electrical, Computer and Communication Technologies
(ICECCT), pp: 1–5.
Ali Nasser Hussain, Ali Abdulabbas Abdullah and Omar Muhammed
Neda, (2018),“Modified Particle Swarm Optimization for Solution of
Reactive Power Dispatch”, Research Journal of Applied Sciences, Engi-
neering and Technology 15(8): 316–327, 2018 DOI:10.19026/rjaset.15.
S. Surender Reddy, “Optimal Reactive Power Scheduling Using Cuckoo
Search Algorithm”, International Journal of Electrical and Computer
Engineering, Vol. 7, No. 5, pp. 2349–2356. 2017.
S.S. Reddy,“ Faster evolutionary algorithm based optimal power flow
using incremental variables”, Electrical Power and Energy Systems,
vol. 54, pp. 198–210, 2014.
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