Optimal reactive power dispatch using backtracking search algorithm

被引：39

作者：

Shaheen A.M. ^{[1
]}

El-Sehiemy R.A. ^{[2
]}

Farrag S.M. ^{[3
]}

机构：

[1] South Delta Electricity Distribution Company (SDEDCo), Ministry of Electricity, Tanta

[2] Electrical Engineering Department, Faculty of Engineering, Kafrelsheikh University, Kafrelsheikh

[3] Electrical Engineering Department, Faculty of Engineering, Menoufiya University, Shebin El-Kom

来源：

Australian Journal of Electrical and Electronics Engineering | 2016年 / 13卷 / 03期

关键词：

backtracking search algorithm; losses; optimisation; Reactive power dispatch; voltage profile;

D O I：

10.1080/1448837X.2017.1325134

中图分类号：

学科分类号：

摘要：

Optimal reactive power dispatch (ORPD) problem has a mounting effectuation on secure and economical operation of electrical power systems. It is well-known as a non-linear, multimodal and mixed-variable problem which has been solved using various computation intelligence-based techniques in the last decades. In this paper, as a new approach, backtracking search algorithm (BSA) is applied to solve the ORPD problem to minimise the power losses and/or improve the voltage profile under control and dependent variable constraints. The BSA is a new evolutionary algorithm for solving real-valued numerical optimisation problems. It has a simple structure and single control parameter. It memorises a population from a randomly chosen previous generation for use in generating the search-direction matrix. This grants BSA the advantage of experiences gained from previous generations to generate the offsprings. The proposed BSA is applied to the IEEE standard 30-bus system, and a real power system at West Delta Network as a part of the Unified Egyptian Network. Simulation results show the capability of the proposed BSA for solving the ORPD problem. © 2017 Engineers Australia.

引用

页码：200 / 210

页数：10

共 27 条

[1]

Abdelmoumene M., Mohamed B., Boubakeur A., Optimal Reactive Power Dispatch Using Differential Evolution Algorithm with Voltage Profile Control, International Journal of Intelligent Systems and Applications, 5, 10, pp. 28-34, (2013)

[2]

Abou El Ela A.A., Abido M.A., Spea S.R., Differential Evolution Algorithm for Optimal Reactive Power Dispatch, Electric Power Systems Research, 81, 2, pp. 458-464, (2011)

[3]

Abou El Ela A.A., El Sehiemy R., Shaheen A.M., Multi-objective Fuzzy-based Procedure for Enhancing Reactive Power Management, IET Generation, Transmission & Distribution, 7, 12, pp. 1453-1460, (2013)

[4]

Abou El-Ela A.A., Kinawy A.M., El-Sehiemy R.A., Mouwafi M.T., Optimal Reactive Power Dispatch Using Ant Colony Optimization Algorithm, Electrical Engineering, 93, 2, pp. 103-116, (2011)

[5]

Baran B., Biswas P., Mukhopadhyay A., GA Based FGP Approach for Optimal Reactive Power Dispatch, First International Conference on Computational Intelligence: Modeling Techniques and Applications (CIMTA) Procedia Technology, 10, pp. 464-473, (2013)

[6]

Cai G., Ren Z., Yu T., Optimal Reactive Power Dispatch Based on Modified Particle Swarm Optimization Considering Voltage Stability, IEEE Power Engineering Society General Meeting, pp. 1-5, (2007)

[7]

Civicioglu P., Backtracking Search Optimization Algorithm for Numerical Optimization Problems, Applied Mathematics and Computation., 219, 15, pp. 8121-8144, (2013)

[8]

Conejo A.J., Galiana F.D., Kockar I., Z-bus Loss Allocation, IEEE Transactions on Power Systems, 16, 1, pp. 105-110, (2001)

[9]

Dai C., Chen W., Zhu Y., Zhang X., Reactive Power Dispatch Considering Voltage Stability with Seeker Optimization Algorithm, Electric Power Systems Research, 79, 10, pp. 1462-1471, (2009)

[10]

Dai C., Chen W., Zhu Y., Zhang X., Seeker Optimization Algorithm for Optimal Reactive Power Dispatch, IEEE Transactions on Power Systems, 24, 3, pp. 1218-1231, (2009)

← 1 2 3 →