Congestion management based optimization technique using bee colony

M. A. Rahim, I. Musirin, Izham Zainal Abidin, M. M. Othman, D. Joshi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Congestion management problem is a popular issue in power system which can be due to line, voltage and thermal constraints. This phenomenon can possibly lead to voltage instability occurrence, loss increment and voltage drop in power system. Therefore, a proper management of congestion should be carried appropriately in order to maintain system operability considering all the available constraints. This paper presents congestion management problem using bee colony optimization approach. The aim of the study is to optimize the cost of generation in power system network within the given available constraints. The study involved the development of bee colony algorithm in addressing congestion management, considering cost optimization as the objective function. Line constraint is also taken into consideration in this study which depends on the electrical power provider to allow the power delivered to the customers. Tests conducted on the IEEE 30-Bus Reliability Test System for performance assessment revealed that the proposed bee algorithm technique is better than evolutionary programming technique in addressing this problem.

Original languageEnglish
Title of host publicationPEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts
Pages184-188
Number of pages5
DOIs
Publication statusPublished - 22 Oct 2010
Event4th International Power Engineering and Optimization Conference, PEOCO 2010 - Shah Alam, Malaysia
Duration: 23 Jun 201024 Jun 2010

Other

Other4th International Power Engineering and Optimization Conference, PEOCO 2010
CountryMalaysia
CityShah Alam
Period23/06/1024/06/10

Fingerprint

Congestion
Optimization Techniques
Power System
Voltage
Cost Optimization
Evolutionary Programming
Performance Assessment
Line
Electric potential
Test System
Evolutionary algorithms
Increment
Costs
Customers
Objective function
Optimise
Optimization

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Control and Optimization

Cite this

Rahim, M. A., Musirin, I., Zainal Abidin, I., Othman, M. M., & Joshi, D. (2010). Congestion management based optimization technique using bee colony. In PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts (pp. 184-188). [5559247] https://doi.org/10.1109/PEOCO.2010.5559247
Rahim, M. A. ; Musirin, I. ; Zainal Abidin, Izham ; Othman, M. M. ; Joshi, D. / Congestion management based optimization technique using bee colony. PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts. 2010. pp. 184-188
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Rahim, MA, Musirin, I, Zainal Abidin, I, Othman, MM & Joshi, D 2010, Congestion management based optimization technique using bee colony. in PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts., 5559247, pp. 184-188, 4th International Power Engineering and Optimization Conference, PEOCO 2010, Shah Alam, Malaysia, 23/06/10. https://doi.org/10.1109/PEOCO.2010.5559247

Congestion management based optimization technique using bee colony. / Rahim, M. A.; Musirin, I.; Zainal Abidin, Izham; Othman, M. M.; Joshi, D.

PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts. 2010. p. 184-188 5559247.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Rahim MA, Musirin I, Zainal Abidin I, Othman MM, Joshi D. Congestion management based optimization technique using bee colony. In PEOCO 2010 - 4th International Power Engineering and Optimization Conference, Program and Abstracts. 2010. p. 184-188. 5559247 https://doi.org/10.1109/PEOCO.2010.5559247