Enhancing the Performance of Smart Grid Using Model Predictive Control.

Document Type : Research Studies

Authors

1 Department of Electrical Engineering, Mansoura University, Egypt

2 Prof, Electrical Engineering Department, Faculty of Engineering Mansoura University, Egypt, She is the head of Electrical Engineering Department

3 Department of Computer engineering &Control Systems,, Mansoura University, Egypt

Abstract

Renewable energy sources such as wind energy conversion systems and photovoltaic systems are connected to the smart grid to promote the grid power. However, the output of those sources changes due to the sunlight and wind speed variations. Owing to the existence of dynamic environment, nonlinear loads, renewable energy resources, and unbalanced faults, smart grids suffer from power quality problems such as high harmonic contents, voltage sag, and voltage swell. STATCOM is a static compensator which considered as one solution to these problems as one of the flexible alternating current transmission system (FACTS) devices that are able to provide several advantages to the power grid such as controlling the power flow, enhancing system stability, and suppressing any oscillation in the grid. On the other hand, STATCOM is expensive device and needs a good controller. A proportional–integral–derivative (PID) controller works well but model predictive control (MPC) handles more than one input/output, works on real-time basis and is able to predict variables. So, the main contribution of this paper is proposing a control strategy based on MPC to regulate the instantaneous power of STATCOM to improve the power quality in the smart grid under unbalanced conditions. The proposed strategy is tested on IEEE 5-bus system connected with two distributed energy systems (photovoltaic system and wind turbine system), and nonlinear loads supported by a STATCOM/MPC and the digital simulation results using the proposed STATCOM controlled by MPC are compared with the PID controller results

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