MULTI-OBJECTIVE OPTIMAL REACTIVE POWER FLOW USING MIXED INTEGER NON-LINEAR PROGRAMMING

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

GHAHREMANI S.; LASHKARARA A.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ELECTRICAL POWER SYSTEMS Year:2012 | Volume:1 | Issue:2 Page(s): 9-18

Download Full-Text

Persian Verion

View:

1,325

Download:

Cites:

Information Journal Paper

Title

MULTI-OBJECTIVE OPTIMAL REACTIVE POWER FLOW USING MIXED INTEGER NON-LINEAR PROGRAMMING

Author(s)

GHAHREMANI S. | LASHKARARA A. | Issue Writer Certificate

Keywords

NON-LINEAR PROGRAMMINGQ2

OA/ER/AP ALGORITHMQ2

REACTIVE POWER FLOWQ2

Abstract

The measure of Reactive power optimization of main power network mainly considers on-load tap changer, the optimal capacity of the capacitor, the voltage of generator under the steady load. In This paper, a multi-objective optimization methodology to the Optimal REACTIVE POWER FLOW (ORPF) problem is proposed in which the e-constrained approach is implemented for the Multi-objective Mathematical Programming (MMP) formulation. The objectives functions of the proposed model include optimize the total fuel cost, the active power losses, and the system load ability. Since the control variables include discrete variables (var sources and transformer tap ratios), the ORPF is inherently a mixed-integer nonlinear programming (MINLP) problem. The optimum tap settings of transformers are directly determined in terms of the admittance matrix of the network since the admittance matrix is constructed in the optimization framework as additional equality constraints. To show the effectiveness of proposed method the results are compared with single-objective, two-objectives and three-objectives. Finally, the method has been implemented in GAMS and solved using DICOPT solver to obtain optimal solutions. In this research, for selection of the best compromising answer among the Pareto optimal solutions has been designed a fuzzy decision-maker tool. The algorithm is tested on standard IEEE 14- bus test system. Simulation results show that the proposed algorithm is able to control REACTIVE POWER FLOW effectively and optimize the selected objective functions.

Cites

No record.

References

No record.

Cite

APA: Copy

GHAHREMANI, S., & LASHKARARA, A.. (2012). MULTI-OBJECTIVE OPTIMAL REACTIVE POWER FLOW USING MIXED INTEGER NON-LINEAR PROGRAMMING. JOURNAL OF ELECTRICAL POWER SYSTEMS, 1(2), 9-18. SID. https://sid.ir/paper/243938/en

Vancouver: Copy

GHAHREMANI S., LASHKARARA A.. MULTI-OBJECTIVE OPTIMAL REACTIVE POWER FLOW USING MIXED INTEGER NON-LINEAR PROGRAMMING. JOURNAL OF ELECTRICAL POWER SYSTEMS[Internet]. 2012;1(2):9-18. Available from: https://sid.ir/paper/243938/en

IEEE: Copy

S. GHAHREMANI, and A. LASHKARARA, “MULTI-OBJECTIVE OPTIMAL REACTIVE POWER FLOW USING MIXED INTEGER NON-LINEAR PROGRAMMING,” JOURNAL OF ELECTRICAL POWER SYSTEMS, vol. 1, no. 2, pp. 9–18, 2012, [Online]. Available: https://sid.ir/paper/243938/en

Related Journal Papers