Uğur Arifoğlu

Integrated AC/DC systems Load Flow using Genetic Algorithm

Although the Load Flow (LF) analysis of pure AC power systems is separately solved by both the numerical analysis methods and the heuristic methods, the load flow of integrated AC/DC power systems only has been implementing by numerical methods so far. There are many methods to implement load flow analysis of integrated AC/DC power systems in literature. Examples of these methods can be given as Newton-Raphson, Fast Decoupled and Broyden. In this paper, the sequential load flow analysis of AC/DC system is implemented by using Genetic Algorithm. The proposed method is tested on IEEE 9-bus test system. In this study, a heuristic method is used for load flow analysis of the integrated AC/DC power systems for the first time.

Design and control of wind/super-capacitor/battery/diesel engine power plant

This piece of work provides a hybrid power plant integrating a wind coupled with Permanent Magnet Synchronous Generator (PMSG), a super-capacitor (SC), a battery and a diesel engine (DE) set which operates without a grid connection. Each subsystem (e.g., wind, SC, battery, DE) has controlled through non-isolated PID/PI embedded controller power converters while the overall operation and power flow priorities are achieved through Programming Logic Controller (PLC). According to the algorithm, the wind has the priority to meet the demand. The SC and battery modules are utilized as an energy storage devices during surplus power and/or backup during demand. A diesel engine is also added to increase the reliability of the system for 24 hours. The performance of proposed design is tested at different wind speed and load conditions for a small community at Karachi, Pakistan. MATLAB results conclude the effectiveness of proposed system in terms of power quality and load tracking.