An integrated control method for a wind farm to reduce frequency deviations in a small power system

Kaneko, Toshiaki; Uehara, Akie; Senjyu, Tomonobu; Yona, Atsushi; Urasaki, Naomitsu

doi:10.1016/j.apenergy.2010.09.024

Cited by 46 publications

(20 citation statements)

References 15 publications

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“…Step 7: Design the controller according to equations (16) and (17); if a feasible controller is obtained, go to the next step, otherwise go to step 10.…”

Section: Proposed Control Algorithmmentioning

confidence: 99%

“…In a distributed system, decentralized control modes, such as maximum power point tracking control [14], voltage and frequency control [15,16] and feeder power flow control [17,18], are applied. However, the fact that such a controller cannot stabilize a system for severe large disturbances motivates the use of advanced control techniques, which consider nonlinear interactions and ensure stability under large disturbances [19,20].…”

Section: Introductionmentioning

confidence: 99%

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Robust control strategy for PV system integration in distribution systems

et al. 2012

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This paper proposes a decentralized control strategy for higher penetration of photovoltaic (PV) units without violating system operating constraints. A systematic procedure is developed and a robust controller is designed to ensure both dynamic voltage and transient stability for a specific PV integration level. The change in the model due to the volatile nature of PV generations is considered as an uncertain term in the design algorithm. Simultaneous output-feedback linear quadratic controllers are designed for PV generators. This designed control scheme is robust with respect to intermittency and enhances the integration level in a sub-transmission and distributed system. The effectiveness of the proposed controller is verified on a 43-bus industrial meshed distribution system under large disturbances. It is found that the designed control scheme enhances stability and increases the renewable integration levels.

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“…Step 7: Design the controller according to equations (16) and (17); if a feasible controller is obtained, go to the next step, otherwise go to step 10.…”

Section: Proposed Control Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robust control strategy for PV system integration in distribution systems

et al. 2012

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“…The service life of wind turbine blades is highly influenced by the random and nonlinear nature of wind leading to unsteady aerodynamic effects, wind turbulence, and dynamic stall and causing fatigue loads as highlighted by many researchers such as Mo et al 1 and Liu et al 2,3 Wind speed forecast is closely associated with power generation prediction, and high-precision wind speed prediction is needed for effective and safe wind energy utilization for small power systems as highlighted by Kaneko et al 4 Accurate wind prediction also reduces operating costs and improves reliability of power generation system as highlighted by Smith et al 5 Researchers therefore focus on wind profile analysis 1 Department of Mechanical Engineering, Visvesvaraya National Institute of Technology, Nagpur, India and forecasting to better predict the blade loads and fatigue and optimize the blade design for improving safety and reliability. With a focus on blade optimization study which depends on wind, rotor control strategy and generator type, Yi et al 6 studied the effects of rotor control strategies such as combinations of fixed and variable speed and pitch algorithms on optimal blade shapes and rotor performance using optimized blade designs.…”

Section: Introductionmentioning

confidence: 99%

Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads

Kulkarni

Dhoble

et al. 2017

Advances in Mechanical Engineering

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The purpose of this article is to analyze various wind speed-forecasting methods, select the appropriate method for developing synthetic wind speed for 1-year period at Salem in Tamilnadu state in India, and use it for the structural and fatigue analysis of a small horizontal-axis wind turbine blade made of composite material. Various forecasting models such as Markov chain, Kalman filter, and autoregressive integrated moving average are evaluated, and a long-term wind speed pattern at Salem is developed using Markov chain. This wind pattern is used to create time-varying loads using the blade element momentum on blade sections. Then, the fatigue analysis of the blade is carried out using the stress life approach. The blade is found to have available life of about 20 years and the critical area for fatigue is found on the skin near the root of the blade. Various blade skin materials are also compared for fatigue performance. A cohesive zone model of the adhesively joined root joint is also developed and analyzed for fatigue at the metal-composite joint. Thus, an integrated methodology involving high-fidelity modeling of the blade, wind forecasting, and static and fatigue analysis is developed for horizontal-axis wind turbine blade for locations where historically wind speed measurements are available for short time.

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“…The rate at which renewables penetrate the global energy market is similar to the emergence of nuclear power in the 1970s and 1980s [1]. Among the renewable sources, wind energy is one of the most rapidly growing renewable power source [2]. Wherever the wind speed exceeds approximately 6 m/s there are possibilities for exploiting it economically, depending on the costs of competing power sources [3].…”

Section: Introductionmentioning

confidence: 99%

Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System

et al. 2013

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A digital H ∞ controller for a permanent magnet synchronous generator (PMSG) based wind energy conversion system (WECS) is presented. Wind energy is an uncertain fluctuating resource which requires a tight control management. So, it is still an exigent task for the control design engineers. The conventional proportional-integral (PI) control is not ideal during high turbulence wind velocities, and the nonlinear behavior of the power converters. These are raising interest towards the robust control concepts. The robust design is to find a controller, for a given system, such that the closed-loop system becomes robust that assurance high-integrity and fault tolerant control system, robust H ∞ control theory has befallen a standard design method of choice over the past two decades in industrial control applications. The robust H ∞ control theory is also gaining eminence in the WECS. Due to the implementation complexity for the continuous H ∞ controller, and availability of the high speedy micro-controllers, the design of a sample-data or a digital H ∞ controller is very important for the realistic implementation. But there isn't a single research to evaluate the performance of the digital H ∞ controller for the WECS. In this paper, the proposed digital H ∞ controller schemes comprise for the both generator and grid interactive power converters, and the control performances are compared with the conventional PI controller and the fuzzy controller. Simulation results confirm the efficacy of the proposed method Energies 2013, 6 2085 which are ensured the WECS stabilities, mitigate shaft stress, and improving the DC-link voltage and output power qualities.

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An integrated control method for a wind farm to reduce frequency deviations in a small power system

Cited by 46 publications

References 15 publications

Robust control strategy for PV system integration in distribution systems

Robust control strategy for PV system integration in distribution systems

Statistical wind prediction and fatigue analysis for horizontal-axis wind turbine composite material blade under dynamic loads

Design and Implement a Digital H∞ Robust Controller for a MW-Class PMSG-Based Grid-Interactive Wind Energy Conversion System

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