GAMS-based Active Power Optimization with Reactive Power Compensation

Authors

Weiqing Sun, 1.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;;
Ye Lei, 1.School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;;
Yiyun Tu, 2.College of Electrical Engineering, Shanghai University of Electrical Power, Shanghai 200090, China;

Abstract

Abstract: Based on the safe operation of the electric system, aiming at the problems of large power loss and high generation cost, it is unreasonable to schedule electricity through only one index, so a combined model of economic dispatch with reactive power optimization and a linearized model of unit commitment are proposed. The ideal point method changes multi-objective optimization problem which is combined with the generation cost and power loss into a single objective optimization problem and solved by GAMS. The case analysis for IEEE-39 bus system and a regional transmission network, by adjusting the generator active and reactive power and the reactive power compensation, demonstrate the effectiveness of reducing the power loss and the generation cost.

Recommended Citation

Sun, Weiqing; Lei, Ye; and Tu, Yiyun (2019) "GAMS-based Active Power Optimization with Reactive Power Compensation," Journal of System Simulation: Vol. 30: Iss. 8, Article 32.
DOI: 10.16182/j.issn1004731x.joss.201808032
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss8/32

First Page

3082

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201808032

Last Page

3091

CLC

TM743

Recommended Citation

Sun Weiqing, Ye Lei, Tu Yiyun. GAMS-based Active Power Optimization with Reactive Power Compensation[J]. Journal of System Simulation, 2018, 30(8): 3082-3091.

DOI

10.16182/j.issn1004731x.joss.201808032