Abstract
Firefly algorithm is the new intelligent algorithm used for all complex engineering optimization problems. Power system has many complex optimization problems one of which is the optimal power flow (OPF). Basically, it is minimizing optimization problem and subjected to many complex objective functions and constraints. Hence, firefly algorithm is used to solve OPF in this paper. The aim of the firefly is to optimize the control variables, namely generated real power, voltage magnitude and tap setting of transformers. Flexible AC Transmission system (FACTS) devices may used in the power system to improve the quality of the power supply and to reduce the cost of the generation. FACTS devices are classified into series, shunt, shunt-series and series-series connected devices. Unified power flow controller (UPFC) is shunt-series type device that posses all capabilities to control real, reactive powers, voltage and reactance of the connected line in the power system. Hence, UPFC is included in the considered IEEE 30 bus for the OPF solution.
Highlights
In power engineering bus voltage, real, reactive power flow needs to calculate for proper operation and planning
For Unified power flow controller (UPFC), three control variables are included in the control variables for the position, shunt and series injection
The implemented Flexible AC Transmission system (FACTS) devices UPFC results are compared to STATCOM, and it is clear that the UPFC outperforms well
Summary
In power engineering bus voltage, real, reactive power flow needs to calculate for proper operation and planning. P and Q decomposition method was used to find optimal reactive power dispatch It has the same of an objective of OPF that is to minimization of the generating cost [6]. This BFA is used for economic load dispatch for generating cost minimization [17] This algorithm is enhanced and used to solve OPF with FACTS devices [18]. Multi-objective Optimization for Optimal Power Flow (OPF) along with UPFC is considered, and Firefly Algorithm is used to optimize the multi-objective OPF problem. It is one of the innovative optimization algorithms that will be used for optimizing the objective function.
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