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Control Strategies for Wind-Farm-Based Smart Grid System

To incorporate the abundance of renewable energy into the power system, it is required to reconfigure the energy system. An intelligent power grid such as the smart grid is the solution for future energy demand. Among several renewable sources, the wind energy conversion system (WECS) is the rapidly growing source of energy, which is considered as the backbone of renewable energy and the smart grid. This paper deals with control strategies of distributed wind farms that are connected to smart houses for a smart grid application. A grid-side energy storage system is considered to deliver smooth power to the system. Stable control strategies under the line fault condition are also discussed in this paper. The surplus power of the smart houses is sent back to the power grid, and a house owner can benefit by selling the extra power to the power company. The detailed modeling and control strategies of an intelligent power system are demonstrated in this paper. The effectiveness of the proposedsystem is verified by the extensive numerical simulation results.

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Control Strategies for Wind-Farm-Based Smart Grid System

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  1. ELECTRICAL PROJECTS USING MATLAB/SIMULINK ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Control Strategies for Wind-Farm-Based Smart Grid System ABSTRACT: To incorporate the abundance of renewable energy into the power system, it is required to reconfigure the energy system. An intelligent power grid such as the smart grid is the solution for future energy demand. Among several renewable sources, the wind energy conversion system (WECS) is the rapidly growing source of energy, which is considered as the backbone of renewable energy and the smart grid. This paper deals with control strategies of distributed wind farms that are connected to smart houses for a smart grid application. A grid-side energy storage system is considered to deliver smooth power to the system. Stable control strategies under the line fault condition are also discussed in this paper. The surplus power of the smart houses is sent back to the power grid, and a house owner can benefit by selling the extra power to the power company. The detailed modeling and control strategies of an intelligent power system are demonstrated in this paper. The effectiveness of the proposedsystem is verified by the extensive numerical simulation results. KEYWORDS: 1.Doubly fed induction generator 2. electric double layer capacitor (EDL) 3. fault condition 4.power smoothing smart grid 5.smart house 6. wind farm. For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245

  2. ELECTRICAL PROJECTS USING MATLAB/SIMULINK ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 SOFTWARE: MATLAB/SIMULINK BLOCK DIAGRAM: Fig. 1. Proposed system configuration For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245

  3. ELECTRICAL PROJECTS USING MATLAB/SIMULINK ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 EXPECTED SIMULATION RESULTS: For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245

  4. ELECTRICAL PROJECTS USING MATLAB/SIMULINK ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 2. Simulation results under the normal condition. (a) Wind speed. (b) Rotational speed of the wind turbine. (c) Wind farm output powers. (d) Different powers of the system. (e) Output power of the EDLC. (f) DC-link voltage of the EDLC. (g) Power of house group-1. (h) Power of house group-2. (i) Power of transformer-1. (j) Power of transformer-2. For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245

  5. ELECTRICAL PROJECTS USING MATLAB/SIMULINK ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 3. Simulation results under the fault condition. (a) Wind speed. (b) Rotor speed. (c) Output power of the wind farm. (d) DC-link voltage of the wind turbine. (e) DC-link voltage of the EDLC. (f) Terminal voltage of the EDLC. (g) Line power of the system. For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245

  6. ELECTRICAL PROJECTS USING MATLAB/SIMULINK ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 CONCLUSION: A wind-farm-based smart grid system coordinated with smart houses has been proposed. Wind velocity is a fluctuating resource, and the generated power of the wind turbine is cubic proportional to the wind speed. Therefore, the output power of the wind turbine is fluctuated. In this paper, an EDLC energy storage is applied to generate a smooth line power for the smart grid system. The line power can be smoothed by the EDLC system extensively. In addition, a stable operation can be performed at the fault condition through the chopper circuit approaches. From the simulation results, the effectiveness of the proposed method is verified. REFERENCES: [1] P. Yi, A. Iwayemi, and C. Zhou, “Developing ZigBee deployment guideline under WiFi interference for smart grid applications,” IEEE Trans.Smart Grid, vol. 2, no. 1, pp. 110–120, Mar. 2011. [2] A. Ipakchi and F. Albuyeh, “Grid of the future,” IEEE Power Energy Mag., vol. 7, no. 2, pp. 52–62, Mar./Apr. 2009. [3] G. Mandic, A. Nasiri, E. Muljadi, and F. Oyague, “Active torque control for gearbox load reduction in a variable-speed wind turbine,” IEEE Trans.Ind. Appl., vol. 48, no. 6, pp. 2424– 2432, Nov./Dec. 2012. [4] H. Jagau, M. A. Khan, and P. S. Barendse, “Design of a sustainable wind generator system using redundant materials,” IEEE Trans. Ind. Appl., vol. 48, no. 6, pp. 1827–1837, Nov./Dec. 2012. [5] A.M. Howlader et al., “A minimal order observer based frequency control strategy for an integrated wind–battery–diesel power system,” Energy,vol. 46, no. 1, pp. 168–178, Oct. 2012. For Simulation Results of the project Contact Us Gmail:asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245

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