A Study on Nonlinear Decoupling Controller for UPFC

2014 ◽  
Vol 624 ◽  
pp. 460-464
Author(s):  
Zhi Bin Chen ◽  
Yan Ma ◽  
Bo Wen Su
Keyword(s):  
Mathematical Model ◽  
Nonlinear System ◽  
Control Strategy ◽  
Reactive Power ◽  
Dynamic Performance ◽  
Decoupling Control ◽  
Real Power ◽  
Power Decoupling ◽  
Simulation Results ◽  
System Characteristics

In the d-q coordinate system, UPFC mathematical model reveals a nonlinear system with features of a multi-variable, strong coupling, and more interference. In view of these system characteristics, the paper presents a nonlinear overlapping decoupled strategy with better stability and dynamic performance for UPFC control. The control strategy is analyzed and tested with the MATLAB simulative experiments. Simulation results show that the proposed control strategy can quickly and accurately respond to the needs of the power system, and realize real power and reactive power decoupling control effectively. Keywords: Dynamic Modeling, Nonlinear, Decoupling Controller, UPFC, MATLAB

Study of Topology and Control Strategy of the Bidirectional Energy Storage Converter Based on Three-Level

2013 ◽  
Vol 397-400 ◽  
pp. 1169-1173
Author(s):  
Hong Wei Tang ◽  
Xi Kun Chen ◽  
Yan Xia Gao
Keyword(s):  
Mathematical Model ◽  
Energy Storage ◽  
Control Strategy ◽  
Lithium Battery ◽  
Decoupling Control ◽  
Midpoint Potential ◽  
Simulation Results ◽  
And Control ◽  
The Mathematical Model ◽  
Battery Module

To adapt to the requirements of the charging and discharging of the lithium battery, the paper presents a three-level based bidirectional energy storage converter topology.It has strong adaptability and can manage the charge and discharge of multi-series and parallel battery module. The mathematical model of the converter is analyzed, and the two operation modes of the converter control strategy are studied; Analysis the feed-forward decoupling control of three-level rectifier, and the variable scale factor is used to control midpoint potential. The simulation results demonstrate the feasibility of the design.

Improvement of High-Voltage-Ride-Through Capability of DFIG Based Wind Turbines with D-STATCOM

2013 ◽  
Vol 448-453 ◽  
pp. 1773-1778
Author(s):  
Guo Qing Li ◽  
Rui Feng Zheng ◽  
Hou He Chen
Keyword(s):  
High Voltage ◽  
Control Strategy ◽  
Reactive Power ◽  
Wind Farms ◽  
Decoupling Control ◽  
Induction Generator ◽  
Static Synchronous Compensator ◽  
Voltage Swell ◽  
Simulation Results ◽  
Grid Side

Along with the increasing of wind power penetration in the grid, much attention has been paid to the high voltage ride through (HVRT) capability of double fed induction generator (DFIG) based wind parks. To regulate the reactive power dynamically, the distribution static synchronous compensator (D-STATCOM) has been considered to be a valid method. In this paper, the D-STATCOM device is applied to enhance the HVRT capability of DFIG during a symmetrical voltage swell at the grid side. The function, The configuration, operating principle and feed-forward decoupling control strategy is presented, finally the model of power system containing DFIG based wind farms and D-STATCOM is established in the environment of PSCAD/EMTDC, HVRT during symmetrical grid voltage swell is simulated. The validity of the proposed control strategy is verified by the simulation results.

The Power Tracking Control Design for Wind Power Generation Systems with DFIG

2013 ◽  
Vol 321-324 ◽  
pp. 1388-1391
Author(s):  
Bing Jie Shi ◽  
Yin He Wang ◽  
Qin Ruo Wang ◽  
Zi Lin Gao
Keyword(s):  
Tracking Control ◽  
Reactive Power ◽  
Complex Structure ◽  
Control Design ◽  
Pi Controller ◽  
Active Power ◽  
Decoupling Control ◽  
Power Decoupling ◽  
Simulation Results ◽  
Power Generation Systems

Because of the complex structure and the changeable parameters of the DFIG and the shortcomings of the traditional PI controller, a new nonlinear P+C (C for constant) controller is raised to achieve the active power and reactive power decoupling control. The simulation results show the validity, effectiveness and robustness of the method in this paper.

Application of Fractional-Order PIλ Controller for PMSM Speed Control

2014 ◽  
Vol 538 ◽  
pp. 421-424
Author(s):  
Wei Xue ◽  
Ya Li Lu
Keyword(s):  
Nonlinear System ◽  
Fractional Order ◽  
Control Strategy ◽  
Dynamic Performance ◽  
Permanent Magnet Synchronous Motor ◽  
Pi Controller ◽  
Control Performance ◽  
Load Variations ◽  
Simulation Results ◽  
The Given

Permanent Magnet Synchronous Motor(PMSM) is a multivariable, nonlinear system with strong couple. It’s sensitive to the parameters and load variations. To improve the system static, dynamic performance and robustness, the fractional-order PIλ control strategy is proposed. Compared with integer-order PI controller, the fractional-order PIλ controller achieves better control performance due to an extra adjustable knob λ. The simulation results show that the fractional-order PIλ controller can track the given speed quickly and accurately, and has better anti-interference with load variation.

Factual Power Loss Diminution by Enhanced Frog Leaping Algorithm

2020 ◽  
Vol 3 (2) ◽  
pp. 114-118
Author(s):  
Kanagasabai Lenin
Keyword(s):  
Local Search ◽  
Power Loss ◽  
Reactive Power ◽  
Test System ◽  
Premature Convergence ◽  
Speed Of Convergence ◽  
Real Power ◽  
The Real ◽  
Simulation Results ◽  
Power Problem

This paper proposes Enhanced Frog Leaping Algorithm (EFLA) to solve the optimal reactive power problem. Frog leaping algorithm (FLA) replicates the procedure of frogs passing though the wetland and foraging deeds. Set of virtual frogs alienated into numerous groups known as “memeplexes”. Frog’s position’s turn out to be closer in every memeplex after few optimization runs and certainly, this crisis direct to premature convergence. In the proposed Enhanced Frog Leaping Algorithm (EFLA) the most excellent frog information is used to augment the local search in each memeplex and initiate to the exploration bound acceleration. To advance the speed of convergence two acceleration factors are introduced in the exploration plan formulation. Proposed Enhanced Frog Leaping Algorithm (EFLA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss considerably.

Research on Flux Damping Control Strategy of DFIG during Grid Voltage Dips

2015 ◽  
Vol 713-715 ◽  
pp. 756-759
Author(s):  
Xu Guang Zhang ◽  
Zhen Xie
Keyword(s):  
Mathematical Model ◽  
Control Strategy ◽  
Grid Voltage ◽  
Damping Control ◽  
Simulink Simulation ◽  
Voltage Dips ◽  
Simulation Results ◽  
Stator Flux ◽  
Natural Component ◽  
Simplified Mathematical Model

A flux damping control strategy was proposed to accelerate the decay of stator flux and restrain stator, rotor current and torque oscillation caused by grid voltage dips. Firstly, this paper analyzes the simplified mathematical model of DFIG during symmetrical voltage dips. Then, the mechanism of flux damping control strategy to restrain stator, rotor current oscillation and increase flux damping was analyzed. The flux damping control strategy can increase the damping of stator side, which accelerates the decay of the stator flux natural component and improve the dynamic LVRT performance of DFIG. The correctness and effectiveness of this method is verified by MATLAB/Simulink simulation results.

scholarly journals AMPLIFIED NELDER-MEAD ALGORITHM FOR SOLVING OPTIMAL REACTIVE POWER PROBLEM

2018 ◽  
Vol 6 (11) ◽  
pp. 299-306
Author(s):  
K. Lenin
Keyword(s):  
Simulated Annealing ◽  
Power Loss ◽  
Reactive Power ◽  
Superior Performance ◽  
Real Power ◽  
Last Stage ◽  
Simulation Results ◽  
Power Problem ◽  
Nelder Mead Algorithm ◽  
Prime Solution

This paper presents Hybridization of Simulated Annealing with Nelder-Mead algorithm (SN) is proposed to solve optimal reactive power problem. The proposed Hybridized - Simulated Annealing, Nelder-Mead algorithm starts with a prime solution, which is produced arbitrarily and then the solution is disturbed into partitions. The vicinity zone is created, arbitrary numbers of partitions are selected and variables modernizing procedure is started in order to create a trail of neighbour solutions. This procedure helps the SN algorithm to explore the region around an existing iterate solution. The Nelder- Mead algorithm is used in the last stage in order to progress the most excellent solution found so far and hasten the convergence in the closing stage. The proposed Hybridization of Simulated Annealing with Nelder-Mead algorithm (SN) has been tested in standard IEEE 57,118 bus systems and simulation results show the superior performance of the proposed SN algorithm in reducing the real power loss and voltage profiles are within the limits.

scholarly journals ENHANCED SPIDER ALGORITHM FOR MINIMIZATION OF REAL POWER LOSS

2018 ◽  
Vol 6 (4) ◽  
pp. 301-311
Author(s):  
K. Lenin
Keyword(s):  
Power Loss ◽  
Reactive Power ◽  
High Quality ◽  
Quality Performance ◽  
Real Power ◽  
Social Spiders ◽  
The Real ◽  
Spider Web ◽  
Simulation Results ◽  
Power Problem

In this paper Enhanced Spider (ES) algorithm is proposed to solve reactive power Problem. Enthused by the spiders, a new Enhanced Spider (ES) algorithm is utilized to solve reactive power problem. The composition is primarily based on the foraging approach of social spiders, which make use of of the vibrations spread over the spider web to choose the position of prey. The simulation results demonstrate high-quality performance of Enhanced Spider (ES) algorithm in solving reactive power problem.  The projected Enhanced Spider (ES) algorithm has been tested in standard IEEE 57,118 bus systems and compared to other reported standard algorithms. Results show that Enhanced Spider (ES) algorithm is more efficient than other algorithms in reducing the real power loss.

Voltage Stability Improvement in Fourteen Bus System during Line Interruption using DPFC

2017 ◽  
Vol 8 (2) ◽  
pp. 705
Author(s):  
Akhib Khan Bahamani ◽  
G.M. Sreerama Reddy ◽  
V. Ganesh
Keyword(s):  
Normal Level ◽  
Power Flow ◽  
Voltage Stability ◽  
Reactive Power ◽  
Simulation Studies ◽  
State Space Method ◽  
Real Power ◽  
Simulation Results ◽  
Space Method ◽  
Bus System

<p>DPFC is proposed in the present work to improve voltage stability of fourteen bus system during line interruption. The voltage across the load decreases due to the interruption of the line. State space method is used to calculate Line currents and bus voltages. The ability of DPFC to bring voltage, real power and reactive power to normal level is presented in this paper. The simulation results for healthy system, line interrupted system without DPFC and with DPFC are presented. The results of comparative study are presented to show the improvement in power quality. The simulation studies indicate that the power flow with DPFC during line outage is almost equal to the power during healthy condition.</p>

scholarly journals Shrinkage of Real Power Loss by Enriched Brain Storm Optimization Algorithm

2019 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Lenin Kanagasabai
Keyword(s):  
Optimization Algorithm ◽  
Power Loss ◽  
Reactive Power ◽  
Human Being ◽  
New Approach ◽  
Real Power ◽  
Brain Storm Optimization ◽  
Course Of Action ◽  
Simulation Results ◽  
Power Problem

<p class="Author">This paper proposes Enriched Brain Storm Optimization (EBSO) algorithm is used for soving reactive power problem. Human being are the most intellectual creature in this world. Unsurprisingly, optimization algorithm stimulated by human being inspired problem solving procedure should be advanced than the optimization algorithms enthused by collective deeds of ants, bee, etc. In this paper, we commence a new Enriched brain storm optimization algorithm, which was enthused by the human brainstorming course of action. In the projected Enriched Brain Storm Optimization (EBSO) algorithm, the vibrant clustering strategy is used to perk up the k-means clustering process. The most important view of the vibrant clustering strategy is that; regularly execute the k-means clustering after a definite number of generations, so that the swapping of information wrap all ideas in the clusters to accomplish suitable searching capability. This new approach leads to wonderful results with little computational efforts. In order to evaluate the efficiency of the proposed Enriched Brain Storm Optimization (EBSO) algorithm, has been tested standard IEEE 118 &amp; practical 191 bus test systems and compared to other standard reported algorithms. Simulation results show that Enriched Brain Storm Optimization (EBSO) algorithm is superior to other algorithms in reducing the real power loss.</p>

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