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There is vast potential value being stored in the massive amounts of data being produced each day in an electricity market. However, most of the value is not being realized due to the challenges in efficiently and intelligently processing and analyzing the large volumes data. These are the challenges of Big Data. Modern power systems are producing Big Data and better understanding it can lead to many...
In this paper, an approach based on the concept of Model Predictive Control (MPC) is used to control transmission voltages and prevent long-term voltage instability. The MPC model is based on a linearized steady-state system model derived from power flow equations. Simulation results are presented for the case of Nordic32 test system.
In this paper, a receding-horizon multi-step optimization is proposed to correct nonviable transmission voltages and prevent long-term voltage instability. The proposed control scheme is based on real-time control, inspired by model predictive control, and steady state power-flow-based equations. In order to anticipate load behavior and avoid using dynamic equations in the control scheme, explicit...
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