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Sensitivity and Bias Based Receding Horizon Multi Step Optimization (RHMSO) Controller for Real Time Voltage Control

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Abstract

A simplified multi-step optimization approach for the correction of violating transmission voltages is developed and analyzed in this thesis. The contribution of this thesis are two fold.

A receding horizon multi-step optimization (RHMSO) controller which utilizes a linearized system model is developed. This linear system model is derived from the non-linear steady state power flow equations based on sensitivity analysis. A comparison is made with single step optimization based on Model Predictive Control (MPC) to test the performance of the proposed multi step approach. Results show significant reduction in load shedding with a smoother system response.

In addition, the concept of bias based error correction is introduced in the linear system model mentioned above. A comparison is made between the bias and non-bias based controllers. The results show that the bias based RHMSO with linear system model provides decrease in settling time and significant reduction in load curtailment, thus achieving better system performance.

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Citation

KULOTHUNGAN, MADHUMATHI. (2014). Sensitivity and Bias Based Receding Horizon Multi Step Optimization (RHMSO) Controller for Real Time Voltage Control (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27751