Coordinated Fuzzy PEVs Charging Controller Design for Stabilizing Tie-Line Power Oscillation Based on Synchrophasor Data

Nowadays, power system evolves into several smart grid areas interconnected by tie lines. Regular changes of operating conditions cause tie-line power oscillation problem between areas inevitably. Moreover, utilization of intermittent renewable energy sources in smart grid areas has intensified such the problem. On the other hand, controllable loads such as plugin electric vehicles (PEVs) are expected to become ubiquitous and with properly charging control they could help alleviate such the problem. This paper proposes an approach to coordinated PEVs charging controller design for stabilizing tie-line power oscillation. Takagi-sugeno (TS) fuzzy controller model is employed. Multiple TS fuzzy controllers are optimally tuning by Differential Evolution Algorithm (DEA). In addition, it is assumed that synchrophasor data are available for controller design and assessment. The simulation results reveal that the proposed coordinated tuning of fuzzy PEVs charging controllers based on synchrophasor data could be applicable in practice, and the designed controllers yield impressively effective performance.