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Particle swarm optimisation for reactive power compensation on Oman 6 bus electrical grid
Author(s) -
Adnan Saif Al Mamari,
Siti Fauziah Toha,
Salmiah Ahmad,
Ali Salim Al Mamari
Publication year - 2021
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijpeds.v12.i3.pp1912-1918
Subject(s) - ac power , particle swarm optimization , computer science , electric power system , grid , voltage , mathematical optimization , control theory (sociology) , maximum power transfer theorem , transformer , electric power transmission , electricity , slack bus , capacitor , power (physics) , power flow study , electrical engineering , engineering , algorithm , mathematics , control (management) , physics , geometry , quantum mechanics , artificial intelligence
The consistent problem with operators and planners for power systems has been related to minimizing transmission losses. An important role is played by reactive power by keeping voltage stability and reliability in the system in order to support the transfer of real power. The optimal reactive power dispatch is associated with the problem of non-linear optimization along with many constraints. In this paper, a study is highlighted for an algorithm that optimizes reactive power with the help of particle swarm algorithm and compare the result with Newton-Raphson method. Reduction of system active power loss is the goal of the function in the projected algorithm. Here, the control variables identified are transformer tap positions, generator bus voltages, and shunt capacitor banks with switch. This projected algorithm is performed on Oman 6 bus electrical grid as oman electricity transmission company has an instability voltage issue in chosen 6 bus.

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