An Adaptive Model Predictive Load Frequency Control Method for Multi-Area Interconnected Power Systems with Photovoltaic Generations
68
TL;DR: An adaptive model predictive load frequency control method for a multi-area interconnected power system with photovoltaic generation by considering some nonlinear features such as a dead band for governor and generation rate constraint for steam turbine is presented in this paper.
read more
Abstract: As the penetration level of renewable distributed generations such as wind turbine generator and photovoltaic stations increases, the load frequency control issue of a multi-area interconnected power system becomes more challenging. This paper presents an adaptive model predictive load frequency control method for a multi-area interconnected power system with photovoltaic generation by considering some nonlinear features such as a dead band for governor and generation rate constraint for steam turbine. The dynamic characteristic of this system is formulated as a discrete-time state space model firstly. Then, the predictive dynamic model is obtained by introducing an expanded state vector, and rolling optimization of control signal is implemented based on a cost function by minimizing the weighted sum of square predicted errors and square future control values. The simulation results on a typical two-area power system consisting of photovoltaic and thermal generator have demonstrated the superiority of the proposed model predictive control method to these state-of-the-art control techniques such as firefly algorithm, genetic algorithm, and population extremal optimization-based proportional-integral control methods in cases of normal conditions, load disturbance and parameters uncertainty.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
AGC of PV-thermal and hydro-thermal power systems using CES and a new multi-stage FPIDF-(1+PI) controller
TL;DR: The impact of CES units in automatic generation control (AGC) of interconnected power system is analysed and contrasted critically, and the proposed approach asserts better and vigorous results to supply reliable and high-quality electric power to the end user.
142
Energy-Storage-Based Intelligent Frequency Control of Microgrid With Stochastic Model Uncertainties
TL;DR: Numerical simulation results validate the energy-storage-based intelligent frequency control strategy for the microgird with stochastic model uncertainties, and comparative studies based on PID, LQR and fuzzy logic control illustrate the superiority of the proposed control strategy.
107
Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview
TL;DR: A comprehensive overview of various AGC models in diverse configurations of the power system and an in-depth analysis of various control methods used to mitigate the AGC issues is provided.
82
Design of cascaded controller based on coyote optimizer for load frequency control in multi-area power systems with renewable sources
TL;DR: In this paper , an optimal controller design of proportional-derivative with filter cascaded-proportionalintegral (PDn-PI) using an innovative coyote optimization algorithm (COA) is presented.
75
Load Frequency Control of a Two-Area Power System with a Stand-Alone Micro-grid based on Adaptive Model Predictive Control
TL;DR: The proposed adaptive model predictive control technique for load frequency control of a two-area interconnected power system with a stand-alone microgrid demonstrated good dynamic response, robustness, optimum performance, and superiority of the proposed AMPC technique to the MPC control technique.
72
References
•Book
Model Predictive Control
David Q. Mayne
- 01 Dec 2004
TL;DR: This paper recalls a few past achievements in Model Predictive Control, gives an overview of some current developments and suggests a few avenues for future research.
2.3K
Model Predictive Control—A Simple and Powerful Method to Control Power Converters
TL;DR: The feasibility and great potential of FCS-MPC due to present-day signal-processing capabilities, particularly for power systems with a reduced number of switching states and more complex operating principles, such as matrix converters are found.
1.8K
Model Predictive Control for Power Converters and Drives: Advances and Trends
TL;DR: The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm.
State of the Art of Finite Control Set Model Predictive Control in Power Electronics
Jose Rodriguez,Marian P. Kazmierkowski,Jose Espinoza,Pericle Zanchetta,Haitham Abu-Rub,Hector Young,Christian A. Rojas +6 more
TL;DR: The paper shows how the use of FCS-MPC provides a simple and efficient computational realization for different control objectives in Power Electronics.
1.5K
Model Predictive Control: A Review of Its Applications in Power Electronics
Sergio Vazquez,Jose I. Leon,Leopoldo G. Franquelo,Jose Rodriguez,Hector Young,Abraham Marquez,Pericle Zanchetta +6 more
TL;DR: Model-based predictive control (MPC) for power converters and drives is a control technique that has gained attention in the research community as mentioned in this paper, and it can easily handle multivariable case and system constraints and nonlinearities in a very intuitive way.