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Optimal Allocation Of Distributed Reactive Power Resources Under Network Constraints For System Loss Minimization, L Meegahapola, S Abbott, D Morrow, T Littler, D Flynn
Optimal Allocation Of Distributed Reactive Power Resources Under Network Constraints For System Loss Minimization, L Meegahapola, S Abbott, D Morrow, T Littler, D Flynn
Dr Lasantha G Meegahapola
Abstract-Reactive power control is an important control issue for distribution system operators due to increased penetration of distributed generation. The work presented in this paper utilizes the inherent reactive power capability of the doubly-fed induction generator (DFIG) based wind farms to optimize the system losses while considering the network constraints in the system. The IEEE-30 bus system was modified by installing DFIG based wind farms in the medium voltage (MV) region creating three wind clusters in the network. The steady-state analysis was conducted to illustrate the loss minimization capability of the DFIG based wind farms under different reactive power configurations. …
Coordinated Utilisation Of Wind Farm Reactive Power Capability For System Loss Optimisation, Lasantha Meegahapola, S Durairaj, D Flynn, B Fox
Coordinated Utilisation Of Wind Farm Reactive Power Capability For System Loss Optimisation, Lasantha Meegahapola, S Durairaj, D Flynn, B Fox
Dr Lasantha G Meegahapola
Most wind farms currently being installed are based upon doubly fed induction generator (DFIG) or direct-drive synchronous generator (DDSG) technology. Given that one of the impacts of introducing distributed generation is an alteration of steady-state power flows and voltages, both technologies are capable of providing local voltage support. Wind farms may, therefore, be included in optimal power flow (OPF) calculations to minimise fuel cost and/or network losses. The IEEE 30-bus system is considered as a case study, comparing fixed-speed induction generator (FSIG) requirements with DFIG capability. Results are presented for a range of DFIG capability modes, at varying system load …