Title :
Optimal allocation of FACTS devices to enhance total transfer capability using evolutionary programming
Author :
Ongsakul, Weerakorn ; Jirapong, Peerapol
Author_Institution :
Sch. of Environ., Resources, & Dev., Asian Inst. of Technol., Pathumthani, Thailand
Abstract :
Evolutionary programming (EP) is proposed to determine the optimal allocation of FACTS devices for maximizing the total transfer capability (TTC) of power transactions between source and sink areas in deregulated power systems. EP simultaneously searches for FACTS locations, FACTS parameters, real power generation (except slack bus) in source area, real power loads in sink area, and generation bus voltages. Multi-objective optimal power flow (OPF) with FACTS devices, including TTC and penalty functions, is used to evaluate the feasible TTC value within real and reactive power generation limits, voltage limits, line flow limits, and FACTS devices operation limits. Four types of FACTS devices are included: thyristor-controlled series capacitor (TCSC), thyristor-controlled phase shifter (TCPS), unified power flow controller (UPFC), and static Var compensator (SVC). Test results on an IEEE 30-bus system indicate that optimally placed OPF with FACTS devices by EP could enhance the TTC value far more than OPF without FACTS devices.
Keywords :
evolutionary computation; flexible AC transmission systems; load flow control; power transmission control; power transmission planning; deregulated power systems; evolutionary programming; generation bus voltages; multiobjective optimal power flow; optimal FACTS device allocation; power transactions; real power generation; real power loads; static Var compensator; thyristor-controlled phase shifter; thyristor-controlled series capacitor; total transfer capability; unified power flow controller; Genetic programming; Load flow; Phase shifters; Power capacitors; Power generation; Power systems; Reactive power; Static VAr compensators; Thyristors; Voltage;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465551