University of Tabriz Tabriz Journal of Electrical Engineering 2008-7799 47 3 2017 11 22 An Efficient Control Method for Inverters Connected Between Battery Storage Systems and Network An Efficient Control Method for Inverters Connected Between Battery Storage Systems and Network 1277 1290 6220 FA R. Hemmati Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah, Iran N. Azizi Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah, Iran M. Ahmadi Jirdehi Department of Electrical Engineering, Kermanshah University of Technology, Kermanshah, Iran Journal Article 2016 11 15 This paper addresses an advanced control strategy on battery storage systems for decoupled active and reactive power control as well as stability improvement through damping oscillations. In the proposed approach, two decoupled control loops are designed for active and reactive power control at the same time. Besides, two supplementary stabilizers are added to the control loops for injecting stabilization signal and stability enhancement. The proposed controllers (i.e., active and reactive power controllers) and supplementary stabilizers are optimally tuned by a meta-heuristic optimization technique. Several small-signal disturbances and large-signal faults are applied on the network to demonstrate the dynamic performance of the storage system and network under such disturbances. Nonlinear simulation results demonstrate that the proposed control strategy can successfully control active and reactive power on the desired levels as well as damp out the oscillations following faults and disturbances. This paper addresses an advanced control strategy on battery storage systems for decoupled active and reactive power control as well as stability improvement through damping oscillations. In the proposed approach, two decoupled control loops are designed for active and reactive power control at the same time. Besides, two supplementary stabilizers are added to the control loops for injecting stabilization signal and stability enhancement. The proposed controllers (i.e., active and reactive power controllers) and supplementary stabilizers are optimally tuned by a meta-heuristic optimization technique. Several small-signal disturbances and large-signal faults are applied on the network to demonstrate the dynamic performance of the storage system and network under such disturbances. Nonlinear simulation results demonstrate that the proposed control strategy can successfully control active and reactive power on the desired levels as well as damp out the oscillations following faults and disturbances. https://tjee.tabrizu.ac.ir/article_6220_b062b11978dade3b153287ea1e771cc5.pdf