Improved Sliding Mode Design for Load Frequency Control of Power System Integrated an Adaptive Learning Strategy
Open Access
- 14 April 2017
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Industrial Electronics
- Vol. 64 (8), 6742-6751
- https://doi.org/10.1109/tie.2017.2694396
Abstract
Randomness from the power load demand and renewable generations causes frequency oscillations among interconnected power systems. Due to the requirement of synchronism of the whole grid, load frequency control (LFC) has become one of the essential challenges for power system stability and security. In this paper, by modeling the disturbances and parameter uncertainties into the LFC model, we propose an adaptive supplementary control scheme for the power system frequency regulation. An improved sliding mode control (SMC) is employed as the basic controller, where a new sliding mode variable is specifically proposed for the LFC problem. The adaptive dynamic programming strategy is used to provide the supplementary control signal, which is beneficial to the frequency regulation by adapting to the real-time disturbances and uncertainties. The stability analysis is also provided to guarantee the reliability of the proposed control strategy. For comparison, a particle swarm optimization-based SMC scheme is developed as the optimal parameter controller for the frequency regulation problem. Simulation studies are performed on single-area and multiarea benchmark systems, and comparative results illustrate the favorable performance of the proposed adaptive approach for the frequency regulation under load disturbances and parameter uncertainties.Keywords
Funding Information
- National Natural Science Foundation of China (51529701, 61520106009)
- National Science Foundation (ECCS 1053717, CMMI 1526835)
- Tianjin Natural Science Foundation (14JCQNJC05400)
This publication has 36 references indexed in Scilit:
- Improving the Critic Learning for Event-Based Nonlinear $H_{\infty }$ Control DesignIEEE Transactions on Cybernetics, 2017
- SMES-Based Damping Controller Design Using Fuzzy-GrHDP Considering Transmission DelayIEEE Transactions on Applied Superconductivity, 2016
- On switching manifold design for terminal sliding mode controlJournal of the Franklin Institute, 2016
- Fast sliding mode control on air-breathing hypersonic vehicles with transient response analysisProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 2015
- Power System Stability Control for a Wind Farm Based on Adaptive Dynamic ProgrammingIEEE Transactions on Smart Grid, 2014
- Energy-Storage-Based Low-Frequency Oscillation Damping Control Using Particle Swarm Optimization and Heuristic Dynamic ProgrammingIEEE Transactions on Power Systems, 2014
- Adaptive nonsingular fast terminal sliding mode control for electromechanical actuatorInternational Journal of Systems Science, 2013
- Intelligent Local Area Signals Based Damping of Power System Oscillations Using Virtual Generators and Approximate Dynamic ProgrammingIEEE Transactions on Smart Grid, 2013
- Optimized Control of DFIG-Based Wind Generation Using Sensitivity Analysis and Particle Swarm OptimizationIEEE Transactions on Smart Grid, 2013
- Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power SystemsIEEE Transactions on Evolutionary Computation, 2008