Adaptive Dragonfly Optimization Based Placement of Capacitor Banks for Voltage Stability Enhancement in Distribution Networks
DOI:
https://doi.org/10.13052/spee1048-5236.4012Keywords:
Voltage stability, distribution networks, dragonfly optimization, capacitor placement.Abstract
The present day ever escalating power demand moves the operating point of
the distribution networks in the vicinity of the voltage stability boundaries.
Any small reactive power unbalance between the generation and demand
may trigger voltage instability, which makes the voltage magnitude to fall
slowly until a rapid change occurs. This paper presents an adaptive dragonfly
optimization based method for placement of shunt capacitor banks with
a view of improving the voltage stability besides enhancing the voltage
profile and lowering the network losses. Simulation results on 33 and 69-
node distribution networks exhibit the greater performances of the suggested
algorithm.
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References
R. B. Prada, L. J. Souza, ‘Voltage stability and thermal limit: constraints
on the maximum loading of electrical energy distribution feeders’, IEE
Proc. Gen. Trans and Dist., Vol. 145, No. 5, pp. 573–77, 1998.
M. Chakravorty, D. Das, ‘Voltage stability analysis of radial distribu-
tion networks’, International Journal of Electrical Power and Energy
Systems, Vol. 23, No. 2, pp. 129–135, 2001.
M. H. Haque, ‘A linear voltage stability margin for radial distribution
systems’, Proceedings of IEEE PES General Meeting, Canada, pp. 1–6,
Adaptive Dragonfly Optimization Based Placement of Capacitor Banks 35
J. C. Hernandez, ‘A Medina and F Jurado. Optimal allocation and sizing
for profitability and voltage enhancement of PV systems on feeders’,
Renewable Energy Journal, Vol. 32, No. 10, pp. 1768–1789, 2007.
K. Prakash, M. Sydulu, ‘Particle swarm optimization based capaci-
tor placement on radial distribution systems’, Proceedings of Power
Engineering Society General Meeting, pp. 1–5, 2007.
R. S. Rao, SVL. Narasimham, M. Ramalingaraju, ‘Optimal capacitor
placement in a radial distribution system using plant growth simula-
tion algorithm’, International Journal of Electrical Power and Energy
Systems, Vol. 33, No. 5, pp. 1133–1139, 2011.
A. R. Abul’Wafa, ‘Optimal capacitor placement for enhancing voltage
stability in distribution systems using analytical algorithm and Fuzzy-
Real Coded GA’, International Journal of Electrical Power and Energy
Systems, Vol. 55, pp. 246–252, 2014.
J. Vuletic, M. Todorovski, ‘Optimal capacitor placement in radial dis-
tribution systems using clustering based optimization’, International
Journal of Electrical Power and Energy Systems, Vol. 62, pp. 229–236,
S. Sultana, P.K. Roy, ‘Optimal capacitor placement in radial distribu-
tion systems using teaching learning-based optimization’, International
Journal of Electrical Power and Energy Systems, Vol. 54, pp. 387–398,
K.R. Devabalaji, K. Ravi, D. Kothari, ‘Optimal location and sizing of
capacitor placement in radial distribution system using bacterial forag-
ing optimization algorithm’, International Journal of Electrical Power
and Energy Systems, Vol. 71, pp. 383–390, 2015.
SK. Injeti, VK. Thunuguntla, M. Shareef, ‘Optimal allocation of capac-
itor banks in radial distribution systems for minimization of real power
loss and maximization of network savings using bio-inspired optimiza-
tion algorithms’, International Journal of Electrical Power and Energy
Systems. Vol. 69, pp. 441–455, 2015.
Y. M. Shuaib, M. S. Kalavathi, C C A. Rajan, ‘Optimal capacitor place-
ment in radial distribution system using gravitational search algorithm’,
International Journal of Electrical Power and Energy Systems, Vol. 64,
pp. 384–397, 2015.
A. Askarzadeh, ‘Capacitor placement in distribution systems for power
loss reduction and voltage improvement: a new methodology’, IET Gen-
eration, Transmission and Distribution, Vol. 10, No. 14, pp. 3631–3638,
B. Suresh Babu
K. S. Sambaiah, T. Jayabarathi, ‘Optimal Allocation of Renewable Dis-
tributed Generation and Capacitor Banks in Distribution Systems using
Salp Swarm Algorithm’, International Journal of Renewable Energy
Research, Vol. 9, No. 1, pp. 96–107, 2019.
Seyedali Mirjalili, ‘Dragonfly algorithm: A new meta-heuristic opti-
mization technique for solving single-objective, discrete and multi-
objective problems’, Neural Comput and Applic. 2015.
M. Hamdy, A.T. Nguyen, JLM. Hensen, ‘A performance comparison of
multi-objective optimization algorithms for solving nearly-zero-energy-
building design problems. Energy and Buildings, 2016.
T. Dharmendra, P. Nikhil, R. Asha, S. Vijander, ‘Fractional Order PID
(FOPID) Controller based Temperature Control of Bioreactor’, Pro-
ceedings of International Conference on Electrical, Electronics, and
Optimization Techniques (ICEEOT), 2016.
B. Venkatesh, R. Ranjan, ‘Optimal radial distribution system reconfig-
uration using fuzzy adaptation of evolutionary programming’, Journal
of Electrical Power and Energy Systems, Vol. 25, No. 10, pp. 775–780,
S. Sivanagaraju, N. Visali, V. Sankar, T. Ramana, ‘Enhancing voltage
stability of radial distribution systems by network reconfiguration’,
Electric power components and systems, Vol. 33, No. 5, pp. 539–50,
P. Aravindhababu, S. Ganapathy, K. R. Nayar, ‘A novel technique for
the analysis of radial distribution systems’, International Journal of
Electrical Power and Energy Systems, Vol. 23, No. 3, pp. 167–171,
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