Title :
Reactive power capability of a sub-transmission grid using real-time embedded particle swarm optimization
Author :
Cabadag, Rengin Idil ; Schmidt, Uwe ; Schegner, Peter
Author_Institution :
Tech. Univ. Dresden, Dresden, Germany
Abstract :
Wind energy is one of the most competitive and efficient energy sources and, as a result, usage of it is continuously increasing worldwide. Although wind energy is relatively cheaper among the other renewables, it is also variable and uncertain. Therefore, the high penetration of wind energy causes several technical problems related to security, stability, power quality and operation of power systems. Transmission and Distribution System Operators (TSOs and DSOs) are issued to develop required grid codes for wind farms (WFs) considering a number of parameters to overcome those difficulties. This paper represents a Real-Time Embedded Particle Swarm Optimization (RTEPSO) to define optimal settings of WFs to meet reactive power requirements of a typical German 110 kV-sub-transmission grid at any time. In other words, the proposed approach searches the exact operation points of WFs to calculate required amount of absorbed/generated reactive power at Connection Point (CP) under consideration of Consumer Counting Arrow System.
Keywords :
particle swarm optimisation; power grids; reactive power; wind power plants; RTEPSO; connection point; consumer counting arrow system; reactive power capability; real-time embedded particle swarm optimization; subtransmission grid; transmission and distribution system operators; voltage 110 kV; wind energy; wind farms; Linear programming; Optimization; Particle swarm optimization; Power system stability; Reactive power; Real-time systems; Wind farms; Consumer counting arrow system; reactive power capability; reactive power management; real-time embedded particle swarm optimization;
Conference_Titel :
Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
Conference_Location :
Istanbul
DOI :
10.1109/ISGTEurope.2014.7028733