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Voltage control in distribution feeders with high penetration of wind energy

The recent drift towards balancing generation and consumption, along with increasing demands of high power quality and reliability, require the deployment of energy storage and application of demand response in the smart grid. The potential for using energy storage and demand response promise to hav...

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Published: 2017-07
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LEADER 00000njm a2000000a 4500
001 oai:repository.ui.edu.ng:123456789/9578
042 |a dc 
720 |a Petinrin, J. O.  |e author 
720 |a Shaaban, M.  |e author 
720 |a Petinrin, M. O.  |e author 
260 |c 2017-07 
520 |a The recent drift towards balancing generation and consumption, along with increasing demands of high power quality and reliability, require the deployment of energy storage and application of demand response in the smart grid. The potential for using energy storage and demand response promise to have a major impact on schemes for voltage control in a smart grid. This paper presents a comprehensive optimisation architecture that do not only take into consideration the coordination of VAr control devices, but also manages storage facilities and demand response in an hourly operation fashion. An integrated framework on hybrid Particle Swarm Optimisation/Gravitational Search Algorithm (PSOGSA) is used for VAr control devices, energy storage and demand response optimisation scheduling. The effectiveness of the proposed method is validated through a quasi-time sequence analysis over a 24-hourly simulation period. Test results show that the smart coordinated operation among the control devices causes reduction in system losses and enhances system capability to maintain voltages within the prescribed bounds. 
024 8 |a 2319-8753 
024 8 |a 2347-6710 
024 8 |a ui_art_petinrin_voltage_2017 
024 8 |a International Journal of Innovative Research in Science, Engineering and Technology 6(7), pp. 1824-1827 
024 8 |a http://ir.library.ui.edu.ng/handle/123456789/9578 
653 |a Demand response 
653 |a Elastic load 
653 |a Energy loss 
653 |a Energy storage 
653 |a Load tap changer 
653 |a PSOGSA 
653 |a Renewable generation 
653 |a Real-time pricing 
653 |a Smart grid 
653 |a Voltage deviation 
245 0 0 |a Voltage control in distribution feeders with high penetration of wind energy