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گواهی نمایه سازی مقاله Reactive Power Market Simulation: A Particle Swarm Optimization Approach

عنوان مقاله: Reactive Power Market Simulation: A Particle Swarm Optimization Approach
شناسه (COI) مقاله: PSC20_176
منتشر شده در بیستمین کنفرانس بین المللی برق در سال ۱۳۸۴
مشخصات نویسندگان مقاله:

Mozafari - Dept. of Electrical Engineering, Sharif University of Technology, Tehran, Iran و Niroo Research Institute, Tehran, Iran
Amraee - Dept. of Electrical Engineering, Sharif University of Technology, Tehran, Iran و Niroo Research Institute, Tehran, Iran
Ranjbar - Dept. of Electrical Engineering, Sharif University of Technology, Tehran, Iran و Niroo Research Institute, Tehran, Iran
Sadati - Dept. of Electrical Engineering, Sharif University of Technology, Tehran, Iran

خلاصه مقاله:
This paper deals with the application of Particle Swarm Optimization algorithm (PSO) for reactive power scheduling in deregulated power system. Reactive power procurement is modeled as a security constraint optimal power flow incorporating voltage stability problem. The model attempts to minimize cost of reactive power procurement and energy losses as a main objective while technical criteria and voltage stability margin, in special, are treated as soft constraints. From mathematical points of view, reactive power market can be expressed as a nonlinear optimization problem. Thus PSO, as a powerful heuristic algorithm, is implemented to find equilibrium point of the reactive power market. Reactive power market is simulated over the IEEE30 bus system and obtained results are compared with another evolutionary programming such as genetic algorithm (GA) in terms of quantity and precision. Results show that the PSO has a good potential to converge to better feasible solution in less iteration and it can be successfully used for reactive power optimization in restructured environments.

کلمات کلیدی:
Deregulation, Reactive market, Voltage Stability, Particle Swarm Optimization

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-PSC20-PSC20_176.html