Improved Binary Particle Swarm Optimization Based TNEP Considering Network Losses, Voltage Level, and Uncertainty in Demand
Subject Areas : journal of Artificial Intelligence in Electrical Engineering
Keywords: STNEP, network losses, voltage level, uncertainty in demand, IBPSO,
Abstract :
Transmission network expansion planning (TNEP) is an important component of power system planning. Itdetermines the characteristics and performance of the future electric power network and influences the powersystem operation directly. Different methods have been proposed for the solution of the static transmissionnetwork expansion planning (STNEP) problem till now. But in all of them, STNEP problem considering thenetwork losses, voltage level and uncertainty in demand has not been solved by improved binary particle swarmoptimization (IBPSO) algorithm. Binary particle swarm optimization (BPSO) is a new population-basedintelligence algorithm and exhibits good performance on the solution of the large-scale and nonlinearoptimization problems. However, it has been observed that standard BPSO algorithm has prematureconvergence when solving a complex optimization problem like STNEP. To resolve this problem, in this study,an IBPSO approach is proposed for the solution of the STNEP problem considering network losses, voltagelevel, and uncertainty in demand. The proposed algorithm has been tested on a real transmission network of theAzerbaijan regional electric company and compared with BPSO. The simulation results show that consideringthe losses even for transmission expansion planning of a network with low load growth is caused thatoperational costs decreases considerably and the network satisfies the requirement of delivering electric powermore reliable to load centers. In addition, regarding the convergence curves of the two methods, it can be seenthat precision of the proposed algorithm for the solution of the STNEP problem is more than BPSO.
[1] AR Abdelaziz, “Genetic algorithm-based
power transmission expansion planning,” 7th
IEEE Int Conf Electron Circuits and Syst,
Lebanon, vol. 78, pp. 642-645, 2000.
[2] VA Levi and MS Calovic, “Linearprogramming-
based decomposition method for
optimal planning of transmission network
investments,” IEE Proc Gener Transm Distrib,
vol. 140, pp. 516-522, 1993.
[3] J Choi, TR Mount, “Thomas Transmission
system expansion plans in view point of
deterministic, probabilistic and security
reliability criteria,” The 39th Hawaii Int Conf
Syst Sci, vol. 10, pp.1-10, 2006.
[4] IDJ Silva, MJ Rider, R Romero, CA Murari
“Transmission network expansion planning
considering uncertainness in demand,” IEEE
Power Eng Soc Gen Meet, vol. 2, pp. 1424-
1429, 2005.
[5] S Binato, MVF Periera, S Granville, “A new
Benders decomposition approach to solve
power transmission network design Problems,”
IEEE Trans Power Syst, vol. 16, pp. 235-240,
2001.
[6] LL Garver, “Transmission network estimation
using linear programming,” IEEE Trans Power
Appar Syst, vol. PAS-89, pp.1688-1696, 1970.
[7] IDJ Silva, MJ Rider, R Romero, CA Murari,
“Transmission network expansion planning
considering uncertainness in demand,” IEEE
Power Eng Soc Gen Meet, vol. 2, pp. 1424-
1429, 2005.
[8] P Maghouli, SH Hosseini, MO Buygi, M
Shahidehpour, “A scenario-based multiobjective
model for multi-stage transmission
expansion planning,” IEEE Trans Power Syst,
vol. 26, pp. 470-478, 2011.
[9] AML Silva, LS Rezende, LAF Manso, LC
Resende, “Reliability worth applied to
transmission expansion planning based on ant
colony system,” Int J Electr Power and Energy
Syst, vol. 32, pp. 1077-10841, 2010 .
[10] NH Sohtaoglu, “The effect of economic
parameters on power transmission planning,”
9th Mediterr Electrotech Conf, vol. 2, pp. 941-
945, 1998.
[11] B Graeber, “Generation and transmission
expansion planning in southern Africa,” 1999
IEEE Africon, vol. 14, pp. 983-988, 1999.
[12] MS Kandil, SM El-Debeiky, NE Hasanien,
“Rule-based system for determining unit
locations of a developed generation expansion
plan for transmission planning,” IEE Proc
Gener Transm Distrib, vol. 147, pp. 62-68,
2000.
[13] RS Chanda, PK Bhattacharjee, “A reliability
approach to transmission expansion planning
using minimal cut theory,” Electr Power Syst
Res, vol. 33, pp. 111-117, 1995.
[14] RS Chanda, PK Bhattacharjee, “A reliability
approach to transmission expansion planning
using fuzzy fault-tree model,” Electr Power
Syst Res, vol. 45, pp. 101-108, 1998.
[15] S Granville, MVF Pereira, GB Dantzig, B Avi-
Itzhak, M Avriel, A Monticelli, LMVG Pinto,
“Mathematical decomposition techniques for
power system expansion planning-analysis of
the linearized power flow model using the
Benders decomposition technique,” EPRI,
Technical Report, RP, pp. 2473-6, 1988.
[16] R Romero, A Monticelli, “A hierarchical
decomposition approach for transmission
network expansion planning,” IEEE Trans
Power Syst, vol. 9, pp. 373-380, 1994.
[17] S Binato, GC de Oliveira, Araujo JL, “A
greedy randomized adaptive search procedure
for transmission expansion planning,” IEEE
Trans Power Syst, vol. 16, pp. 247-253, 2001.
[18] STY Lee, KL Hocks, H Hnyilicza,
“Transmission expansion by branch and bound
integer programming with optimal cost
capacity curves,” IEEE Trans Power Appar
Syst, vol. PAS-93, pp. 1390-1400, 1974.
[19] MVF Periera, LMVG Pinto, “Application of
sensitivity analysis of load supplying capability
to interactive transmission expansion
planning,” IEEE Trans Power Appar Syst, vol.
PAS-104, pp. 381 -389, 1985.
[20] R Romero, RA Gallego, A Monticelli,
“Transmission system expansion planning by
simulated annealing,” IEEE Trans Power Syst,
vol. 11, pp. 364-369, 1996.
[21] RA Gallego, AB Alves, A Monticelli, R
Romero, “Parallel simulated annealing applied
to long term transmission network expansion
planning,” IEEE Trans Power Syst, vol. 12, pp.
181-188, 1997.
[22] T Al-Saba, I El-Amin, “The application of
artificial intelligent tools to the transmission
expansion problem,” Electr Power Syst Res,
vol. 62, pp. 117-126, 2002.
[23] J Contreras, FF Wu, “A kernel-oriented
algorithm for transmission expansion
planning,” IEEE Trans Power Syst, vol. 15, pp.
1434-1440, 2000.
[24] ASD Braga, JT Saraiva, “A multiyear dynamic
approach for transmission expansion planning
and long-term marginal costs computation,”
IEEE Trans Power Syst, vol. 20, pp. 1631-
1639, 2005.
[25] EL Silva, HA Gil, JM Areiza, “Transmission
network expansion planning under an
improved genetic algorithm,” IEEE Trans
Power Syst, vol. 15, pp. 1168-1174, 2000.
[26] EL Silva, JMA Oritz, GC Oleveria, S Binato,
“Transmission network expansion planning
under a Tabu search approach,” IEEE Trans
Power Syst, vol. 16, pp. 62-68, 2001.
[27] S Jalilzadeh, A Kazemi, H Shayeghi, M
Mahdavi, “Technical and economic evaluation
of voltage level in transmission network
expansion planning using GA,” Energy
Convers Manag, vol. 49, pp. 1119-1125, 2008.
[28] H Shayeghi, S Jalilzadeh, M Mahdavi, H
Haddadian, “Studying influence of two
effective parameters on network losses in
transmission expansion planning using
DCGA,” Energy Convers Manag, vol. 49, pp.
3017-3024, 2008.
[29] H Shayeghi, M Mahdavi, “Studying the effect
of losses coefficient on transmission expansion
planning using decimal codification based
GA,” Int J Tech Phys Probl Eng, vol. 1, pp. 58-
64, 2009.
[30] H Shayeghi, M Mahdavi, “Genetic algorithm
based studying of bundle lines effect on
network losses in transmission network
expansion planning,” J Electr Eng, vol. 60, pp.
237-245, 2009.
[31] JH Zhao, J Foster, ZY Dong, KP Wong,
“Flexible transmission network planning
considering distributed generation impacts,”
IEEE Trans Power Syst, vol. 26, pp. 1434-
1443, 2011.
[32] M Mahdavi, H Shayeghi, A Kazemi, “DCGA
based evaluating role of bundle lines in TNEP
considering expansion of substations from
voltage level point of view,” Energy Convers
Manag, vol. 50, pp. 2067-2073, 2009.
[33] H Shayeghi, M Mahdavi, A Kazemi, HA
Shayanfar, “Studying effect of bundle lines on
TNEP considering network losses using
decimal codification genetic algorithm,”
Energy Convers Manag, vol. 51, pp. 2685-
2691, 2010.
[34] H Shayeghi, M Mahdavi, HA Shayanfar, A
Bagheri, “Application of binary particle swarm
optimization for transmission expansion
planning considering lines loading,” In
proceedings of the 2009 Int Conf Artif Intell,
USA, pp. 653-659, 2009.
[35] H Shayeghi, A Jalili, HA Shayanfar, “Multistage
fuzzy load frequency control using PSO,”
Energy Convers Manag, vol. 49, pp. 2570-
2580, 2008.
[36] M Clerc, J Kennedy, “The particle swarmexplosion,
stability, and convergence in a
multidimensional complex space,” IEEE Trans
Evol Comput, vol. 6, pp. 58-73, 2002.
[37] N Jin, YR Samii, “Advances in particle swarm
optimization for antenna designs: real-number,
binary, single-objective and multiobjective
implementations,” IEEE Trans Antennas
Propag, vol. 55, pp. 556-567, 2007.
[38] AAA Esmin, GL Torres, ACZ de Souza, “A
hybrid particle swarm optimization applied to
loss power minimization,” IEEE Trans Power
Syst, vol. 20, pp. 859-866, 2005.