DocumentCode :
134323
Title :
Reactive power planning using PSO with modified dynamic inertia parameter
Author :
Nayan, Alok
Author_Institution :
Dept. of Electr. Eng., Indian Sch. of Mines, Dhanbad, India
fYear :
2014
fDate :
13-15 March 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper presents Modified Particle Swarm Optimisation (PSO) technique with dynamic inertia parameter to find optimal values of Shunt Capacitor (ShC) admittances, off-nominal tap ratios of Online Tap Changers (OLTC), and reactive power generations of alternators for reactive power planning. A new modified inertia parameter is proposed which is dynamic and compels particles to explore the space more randomly and vigorously once a local minimum is reached. Using the obtained optimal values, voltages of buses are improved and transmission losses are reduced, resulting in annual operational cost reduction. The active power loss of transmission lines and optimum values of bus voltage are calculated by Newton Raphson method. In this paper standard IEEE 14 bus system and standard IEEE 30 bus systems are used to demonstrate the result by varying number of particles and generations.
Keywords :
IEEE standards; Newton-Raphson method; capacitors; electric admittance; electric power generation; particle swarm optimisation; power system planning; reactive power; Newton Raphson method; OLTC; PSO; annual operational cost reduction; bus voltage; modified dynamic inertia parameter; off-nominal tap ratios; online tap changers; particle swarm optimisation; reactive power generations; reactive power planning; shunt capacitor admittances; standard IEEE 14 bus system; standard IEEE 30 bus systems; transmission losses; Annealing; Capacitors; Propagation losses; Three-dimensional displays; PSO; Reactive Power Planning; active power loss; cost minimization; modified inertia parameter; shunt capacitors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Systems Conference: Towards Sustainable Energy, 2014
Conference_Location :
Bangalore
Print_ISBN :
978-1-4799-3420-1
Type :
conf
DOI :
10.1109/PESTSE.2014.6805258
Filename :
6805258
Link To Document :
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