NSGA Based Optimal Volt / Var Control in Distribution System with Dispersed Generation
In this paper, a method based on Non-Dominated
Sorting Genetic Algorithm (NSGA) has been presented for the Volt /
Var control in power distribution systems with dispersed generation
(DG). Genetic algorithm approach is used due to its broad
applicability, ease of use and high accuracy. The proposed method is
better suited for volt/var control problems. A multi-objective
optimization problem has been formulated for the volt/var control of
the distribution system. The non-dominated sorting genetic algorithm
based method proposed in this paper, alleviates the problem of tuning
the weighting factors required in solving the multi-objective volt/var
control optimization problems. Based on the simulation studies
carried out on the distribution system, the proposed scheme has been
found to be simple, accurate and easy to apply to solve the multiobjective
volt/var control optimization problem of the distribution
system with dispersed generation.
[1] C.L. Masters, "Voltage rise: the big issue when connecting embedded
generation to long 11kV overhead lines", IEE Power Engineering J., vol.
16, no.1, pp. 5-12, February 2002.
[2] "IEEE standard for interconnecting distributed resources with electric
power systems" IEEE standard 1547TM -2003.
[3] K.Tran and M.Vaziri, "Effects of dispersed generation (DG) on
distribution systems", Proc. of IEEE Power Engineering Society General
Meeting, vol. 3, pp.2173-2178, 2005.
[4] A.E. Kiprakis and A.R Wallace, "Maximizing energy capture from
distributed generators in weak networks", IEE Proceedings on
Generation Transmission and Distribution, vol. 151, no. 5, pp. 611-618,
September 2004.
[5] T-E Kim and J-E Kim, "Voltage regulation coordination of distributed
generation system in distribution system",Proc. of IEEE Power
Engineering Society Summer Meeting, vol. 1, pp.480-484, 2001.
[6] T. Gonen, "Electric power distribution system engineering", Second
Edition, CRC Press, 2007.
[7] T-E Kim and J-E Kim, "Considerations for the feasible operating range
of distributed generation interconnected to power distribution system",
Proc. of IEEE Power Engineering Society Summer Meeting, vol. 1,
pp.42-48, 2002.
[8] J-Ho Choi and J-Chul Kim, "Advanced voltage regulation method at the
power distribution systems interconnected with dispersed storage and
generation systems", IEEE Trans. Power Delivery, vol.15, no. 2, pp.691-
696, April 2000.
[9] N.C. Scott, D.J. Atkinson and J. E. Morrell, "Use of load control to
regulate voltage on distribution networks with embedded generation",
IEEE Trans. Power Systems, vol. 17, no.2, pp. 510-515, May 2002.
[10] T. Niknam, A.M. Ranjbar and A.R. Shirani, "Impact of distributed
generation on Volt/ Var control in distribution Networks" in Proc. IEEE
Bologna Power Tech Conference, Italy,,vol. 3, June 23-26, 2003.
[11] F. Batrinu, E. Carpaneto, G. Chicco, M. De Donno, R. Napoli , P.
Postolache, C. Toader and R. Porumb, "New nested evolutionary
programming approach for voltage control optimization with distributed
generation", in Proc. IEEE Mediterranean Electrotechnical Conference,
MELECON, vol. 3, pp. 1007-1010, 2004.
[12] K. Deb," Multi-objective optimization using evolutionary algoritms",
Newyork, John Wiley, 2001.
[1] C.L. Masters, "Voltage rise: the big issue when connecting embedded
generation to long 11kV overhead lines", IEE Power Engineering J., vol.
16, no.1, pp. 5-12, February 2002.
[2] "IEEE standard for interconnecting distributed resources with electric
power systems" IEEE standard 1547TM -2003.
[3] K.Tran and M.Vaziri, "Effects of dispersed generation (DG) on
distribution systems", Proc. of IEEE Power Engineering Society General
Meeting, vol. 3, pp.2173-2178, 2005.
[4] A.E. Kiprakis and A.R Wallace, "Maximizing energy capture from
distributed generators in weak networks", IEE Proceedings on
Generation Transmission and Distribution, vol. 151, no. 5, pp. 611-618,
September 2004.
[5] T-E Kim and J-E Kim, "Voltage regulation coordination of distributed
generation system in distribution system",Proc. of IEEE Power
Engineering Society Summer Meeting, vol. 1, pp.480-484, 2001.
[6] T. Gonen, "Electric power distribution system engineering", Second
Edition, CRC Press, 2007.
[7] T-E Kim and J-E Kim, "Considerations for the feasible operating range
of distributed generation interconnected to power distribution system",
Proc. of IEEE Power Engineering Society Summer Meeting, vol. 1,
pp.42-48, 2002.
[8] J-Ho Choi and J-Chul Kim, "Advanced voltage regulation method at the
power distribution systems interconnected with dispersed storage and
generation systems", IEEE Trans. Power Delivery, vol.15, no. 2, pp.691-
696, April 2000.
[9] N.C. Scott, D.J. Atkinson and J. E. Morrell, "Use of load control to
regulate voltage on distribution networks with embedded generation",
IEEE Trans. Power Systems, vol. 17, no.2, pp. 510-515, May 2002.
[10] T. Niknam, A.M. Ranjbar and A.R. Shirani, "Impact of distributed
generation on Volt/ Var control in distribution Networks" in Proc. IEEE
Bologna Power Tech Conference, Italy,,vol. 3, June 23-26, 2003.
[11] F. Batrinu, E. Carpaneto, G. Chicco, M. De Donno, R. Napoli , P.
Postolache, C. Toader and R. Porumb, "New nested evolutionary
programming approach for voltage control optimization with distributed
generation", in Proc. IEEE Mediterranean Electrotechnical Conference,
MELECON, vol. 3, pp. 1007-1010, 2004.
[12] K. Deb," Multi-objective optimization using evolutionary algoritms",
Newyork, John Wiley, 2001.
@article{"International Journal of Electrical, Electronic and Communication Sciences:52297", author = "P. N. Hrisheekesha and Jaydev Sharma", title = "NSGA Based Optimal Volt / Var Control in Distribution System with Dispersed Generation", abstract = "In this paper, a method based on Non-Dominated
Sorting Genetic Algorithm (NSGA) has been presented for the Volt /
Var control in power distribution systems with dispersed generation
(DG). Genetic algorithm approach is used due to its broad
applicability, ease of use and high accuracy. The proposed method is
better suited for volt/var control problems. A multi-objective
optimization problem has been formulated for the volt/var control of
the distribution system. The non-dominated sorting genetic algorithm
based method proposed in this paper, alleviates the problem of tuning
the weighting factors required in solving the multi-objective volt/var
control optimization problems. Based on the simulation studies
carried out on the distribution system, the proposed scheme has been
found to be simple, accurate and easy to apply to solve the multiobjective
volt/var control optimization problem of the distribution
system with dispersed generation.", keywords = "Dispersed Generation, Distribution System, Non-Dominated Sorting Genetic Algorithm, Voltage / Reactive powercontrol.", volume = "2", number = "8", pages = "1597-6", }