Power System Steady State Stability Control - Lesotho Electricity Company Status Review
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Abstract
Power systems are usually influenced by many factors under steady-state operating conditions. These impacts require control and optimization strategies that can alleviate or mitigate them. Some recent power systems control strategies are (artificial intelligence) AI-based and still require system modeling before their development. These control systems are considered superior to classical control systems techniques since the control can be executed in real-time or online. This is because high-speed computers are readily available to handle those tasks. One such method is the model reference adaptive control (MRAC). This control system can control large dynamic power systems under steady-state conditions and its development can entail practical imperfection for optimum control. The presented literature covers causes of instability under steady state operations and briefly covers system modeling, which is a prerequisite for developing and implementing control systems. Furthermore, recent power system steady-state control methods and algorithms are discussed to identify potential and appropriate control systems for Lesotho Electricity Company (LECs’) power system steady-state control. Network planners and engineers at LEC can implement these advanced AI-based power system stabilizers (PSS) to optimize the performance of the power system under steady-state operating conditions.
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