scholarly journals Load Frequency Control for Power System Using Moving Horizon Estimation and Robust Model Predictive Control

2018 ◽  
Vol 54 (7) ◽  
pp. 606-616
Author(s):  
Takuto HIRANAKA ◽  
Tetsuya SEKINE ◽  
Toru NAMERIKAWA
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
Predictive Control ◽  
Frequency Control ◽  
Load Frequency Control ◽  
Moving Horizon Estimation ◽  
Robust Model Predictive Control ◽  
Load Frequency ◽  
Robust Model

scholarly journals Analysis on various optimization techniques used for Load Frequency Control in power system

2018 ◽  
Vol 15 (3) ◽  
pp. 249-273 ◽  
Author(s):  
Neelamsetti Kumar ◽  
Vairavasundaram Indragandhi
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
Predictive Control ◽  
Frequency Control ◽  
Optimization Techniques ◽  
Load Frequency Control ◽  
Dead Band ◽  
Energy Devices ◽  
Control Techniques ◽  
Load Frequency

In a unified power system the Load Frequency Control (LFC) is taken for review looking at all aspects with various optimization techniques for optimizing the parameters of PI, PID and Fuzzy controllers. The power system with multi area consists of conventional, renewable and combination of both with some energy devices like SMES, battery sources is analyzed specifically in this manuscript. The controllers are designed for a deregulated environment of a power system for LFC. The Model Predictive Control (MPC) and some other control techniques are used to control LFC under various disturbances like GRC and dead band control. For the readers ease of understanding the time response comparison graph of the controller for single and multiple areas of power system is depicted.

scholarly journals Model Predictive Control for Load Frequency Control with Wind Turbines

2015 ◽  
Vol 2015 ◽  
pp. 1-17 ◽  
Author(s):  
Yi Zhang ◽  
Xiangjie Liu ◽  
Yujia Yan
Keyword(s):  
Model Predictive Control ◽  
Power System ◽  
Predictive Control ◽  
Wind Turbines ◽  
Optimization Problems ◽  
Load Frequency Control ◽  
Distributed Model ◽  
Load Frequency ◽  
The Impact ◽  
A Performance

Reliable load frequency (LFC) control is crucial to the operation and design of modern electric power systems. Considering the LFC problem of a four-area interconnected power system with wind turbines, this paper presents a distributed model predictive control (DMPC) based on coordination scheme. The proposed algorithm solves a series of local optimization problems to minimize a performance objective for each control area. The scheme incorporates the two critical nonlinear constraints, for example, the generation rate constraint (GRC) and the valve limit, into convex optimization problems. Furthermore, the algorithm reduces the impact on the randomness and intermittence of wind turbine effectively. A performance comparison between the proposed controller with and that without the participation of the wind turbines is carried out. Good performance is obtained in the presence of power system nonlinearities due to the governors and turbines constraints and load change disturbances.

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