Voltage Stability Enhancement of Distribution System Using Network Reconfiguration in the Presence of DG

被引：0

作者：

Murthy, G.V.K. ^{[1
]}

Sivanagaraju, S. ^{[2
]}

Satyanarayana, S. ^{[3
]}

Rao, B. Hanumantha ^{[4
]}

机构：

[1] Department of Electrical and Electronics Engineering, SSN Engineering College, Ongole, Andhra Pradesh

[2] Department of Electrical and Electronics Engineering, J.N.T.U.K. College of Engineering (Autonomous) Kakinada, Andhra Pradesh

[3] VRS and YRN College of Engineering and Technology, Chirala, Andhra Pradesh

[4] Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University, Kakinada

来源：

Distributed Generation and Alternative Energy Journal | 2015年 / 30卷 / 04期

关键词：

Artificial bee colony algorithm; Distributed generation; Feeder reconfiguration; Radial distribution network; Voltage stability index;

D O I：

10.1080/21563306.2015.11667612

中图分类号：

学科分类号：

摘要：

Voltage stability improvement is an important issue in power system planning and operation. This article presents the effect of reconfiguration in the presence of distributed generation (DG) in radial distribution system to improve the voltage stability with different load models by using Artificial Bee Colony (ABC) algorithm. The analysis is accomplished using a voltage stability index which can be evaluated at each node of the distribution system. The network reconfiguration involves a mechanism for selection of the best set of branches to be opened, one from each loop, such that the reconfigured radial distribution system possesses desired performance characteristics. The location of DG has the main effect of voltage stability on the system. Simulation study is conducted on 69-bus radial test system to verify the efficacy of the proposed method.

引用

页码：37 / 54

页数：17

共 29 条

[1]

Civanlar S., Grainger J.J., Yin H., Lee S.S.H., Distribution feeder reconfiguration for loss reduction, IEEE Transaction on Power Delivery, 3, 3, pp. 1217-1223, (1988)

[2]

Baran M.E., Wu F.F., Network reconfiguration in distribution systems for loss reduction and load balancing, IEEE Transaction on Power Delivery, 4, 2, pp. 1401-1407, (1989)

[3]

Fan J.Y., Zhang L., McDonald J.D., Distribution network recon-figuration: Single loop optimization, IEEE Transaction on Power Systems, 11, 3, pp. 1643-1647, (1996)

[4]

Nara K., Shiose A., Kitagawa M., Ishihara T., Implementation of genetic algorithm for distribution system loss minimum reconfiguration, IEEE Transaction on Power Systems, 7, 3, pp. 1044-1051, (1992)

[5]

Jeon Y.J., Kim J.C., Kim J.O., Shin J.R., Lee K.Y., An efficient simulated annealing algorithm for network reconfiguration in large-scale distribution systems, IEEE Transaction on Power Delivery, 17, 4, pp. 1070-1078, (2002)

[6]

Zhang D., Fu Z., Zhang L., An improved ts algorithm for loss-minimum reconfiguration in large-scale distribution systems, Electric Power Systems Research, 77, 5-6, pp. 685-694, (2007)

[7]

Su C.T., Chang C.F., Chiou J.P., Distribution network reconfiguration for loss reduction by ant colony search algorithm, Electric Power Systems Research, 75, 2-3, pp. 190-199, (2005)

[8]

Carpaneto E., Chicco G., Distribution system minimum loss reconfiguration in the hyper-cube ant colony optimisation framework, Electric Power Systems Research, 78, 12, pp. 2037-2045, (2008)

[9]

Sivanagaraju S., Viswanatha Rao J., Sangameswara Raju P., Discrete particle swarm optimisation to network reconfiguration for loss reduction and load balancing, Electric Power Components and Systems, 36, 5, pp. 513-524, (2008)

[10]

Zhu J., Xiong X., Zhang J., Shen G., Xu Q., Xue Y., A rule based comprehensive approach for reconfiguration of electrical distribution network, Electric Power Sys-Tems Research, 79, 2, pp. 311-315, (2009)

← 1 2 3 →