The Experts below are selected from a list of 29526 Experts worldwide ranked by ideXlab platform
Issarachai Ngamroo - One of the best experts on this subject based on the ideXlab platform.
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Optimal Superconducting Coil Integrated Into DFIG Wind Turbine for Fault Ride Through Capability Enhancement and Output Power Fluctuation Suppression
IEEE Transactions on Sustainable Energy, 2015Co-Authors: Tanapon Karaipoom, Issarachai NgamrooAbstract:The vital problems of the grid-connected doubly fed induction generator (DFIG) wind turbine are the fault ride through (FRT) capability and the output Power Fluctuation. To tackle these problems, this paper focuses on the optimization of the superconducting coil (SC) integrated into a dc link of the DFIG wind turbine for an enhancement of the FRT capability and a suppression of the output Power Fluctuation. The dcdc converter, which is used to control the exchanged energy between the SC and the system, is additionally connected between the grid side converter (GSC) and the rotor side converter. During normal operation, the SC acts as an energy storage device to exchange energy with the system so that the Power Fluctuation of the DFIG wind turbine can be alleviated. On the other hand, when severe faults occur in the system, the SC is used as the current limiting inductor to suppress both overcurrent in the rotor and stator, and overvoltage in the dc link of the DFIG. In the optimization, the inductance of the SC, the initial necessary stored energy in the SC, and the proportional integral (PI) parameters of the dcdc converter are tuned simultaneously so that both objectives can be achieved. Simulation study elucidates the control effect of the DFIG wind turbine with the optimal SC.
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cooperative control of sfcl and smes for enhancing fault ride through capability and smoothing Power Fluctuation of dfig wind farm
IEEE Transactions on Applied Superconductivity, 2014Co-Authors: Issarachai Ngamroo, Tanapon KaraipoomAbstract:This paper deals with a cooperative control of a resistive type superconducting fault current limiter (SFCL) and a superconducting magnetic energy storage (SMES) for enhancing fault ride through (FRT) capability and smoothing Power Fluctuation of the doubly fed induction generator (DFIG)-based wind farm. When the system faults occur, the SFCL is used to limit the fault current, alleviate the terminal voltage drop, and transient Power Fluctuation so that the DFIG can ride through the fault. Subsequently, the remaining Power Fluctuation is suppressed by the SMES. The resistive value of the SFCL as well as the superconducting coil inductance of the SMES are simultaneously optimized so that a sudden increase in the kinetic energy in the DFIG rotor during faults, an initial stored energy in the SMES coil, an energy loss of the SFCL, and an output Power Fluctuation of the DFIG are minimum. The superior control effect of the cooperative SFCL and SMES over the individual device is confirmed by simulation study.
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improving low voltage ride through performance and alleviating Power Fluctuation of dfig wind turbine in dc microgrid by optimal smes with fault current limiting function
IEEE Transactions on Applied Superconductivity, 2014Co-Authors: Issarachai Ngamroo, Tanapon KaraipoomAbstract:The vital problems of doubly fed induction generator (DFIG) wind turbine are Power Fluctuation and low-voltage ride-through performance. To tackle both problems, the new circuit configuration and optimization technique of the superconducting magnetic energy storage with fault current limiting function (SMES-FCL) in a DC microgrid are presented. The SMES-FCL circuit mainly consists of two DC choppers with common superconducting coil (SC). During normal operation, the SMES-FCL acts as the SMES unit to suppress the Power Fluctuation of DFIG. When severe faults occur in the system, the SC is automatically connected to the system and used as the fault current limiter. Consequently, the fault current and the terminal voltage drop of DFIG can be alleviated. The energy function method is used to formulate the optimization problem of SC inductance, initial stored energy, and proportional-integral control parameters of choppers. Simulation study confirms the superior control effect of the SMES-FCL over the conventional SMES.
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Application of electrolyzer to alleviate Power Fluctuation in a stand alone microgrid based on an optimal fuzzy PID control
International Journal of Electrical Power & Energy Systems, 2012Co-Authors: Issarachai NgamrooAbstract:Abstract Due to the high intermittent Power generations from wind and photovoltaic in the microgrid (MG) system, these result in the severe Power Fluctuation. When the fuel cell (FC) equipped with the aqua electrolyzer (AE) has been installed in the MG, in addition to hydrogen production for FC, the absorbed Power by AE can be controlled to alleviate the Power Fluctuation. This paper proposes the coordinated control of AE and FC to solve the Power Fluctuation problem in the MG. By control of the Power absorption by AE and the Power production by FC, the Power Fluctuation in the MG can be suppressed. The optimal fuzzy logic based-proportional-integral-derivative (FLPID) is used to design the controllers of AE and FC. Without trial and error as in the conventional FLPID controller design, scale factors, membership functions and control rules of the optimal FLPID controller are automatically and simultaneously tuned by a bee colony optimization. Simulation results confirm the superior stabilizing effect of the proposed optimal FLPID controller in comparison with the conventional FLPID controller under several system disturbances.
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Alleviation of Power Fluctuation in Interconnected Power Systems With Wind Farm by SMES With Optimal Coil Size
IEEE Transactions on Applied Superconductivity, 2012Co-Authors: M. Saejia, Issarachai NgamrooAbstract:The large penetration of wind Power into interconnected Power systems causes the severe Power Fluctuation in tie-lines. To alleviate Power Fluctuation, the superconducting magnetic energy storage (SMES) can be applied. Nevertheless, the installation of SMES is quite costly. Especially, the superconducting coil size which is the vital part of SMES, must be carefully specified. This paper proposes a new optimization technique of Power controller parameters and coil sizes of multiple SMES units for alleviation of tie-line Power Fluctuation in interconnected Power systems with wind farms. The structure of active and reactive Power controllers of SMES is the proportional-integral (PI). Based on the minimization of the variance of tie-line Power Fluctuation and the initial stored energy of a SMES unit, the optimal PI parameters and coil size can be automatically tuned by a particle swarm optimization. Simulation study in the West Japan interconnected systems confirms that the proposed SMES with optimal coil size is able to effectively and robustly suppress Power Fluctuation against various wind Power patterns and heavy Power flow levels.
Yushu Sun - One of the best experts on this subject based on the ideXlab platform.
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application of integrated energy storage system in wind Power Fluctuation mitigation
Journal of energy storage, 2020Co-Authors: Yushu Sun, Wei Pei, Dongqiang Jia, Genming Zhang, Heng Wang, Long Zhao, Zhizheng FengAbstract:Abstract This paper mainly studies the application of integrated energy storage systems in wind Power Fluctuation mitigation. Firstly, the relationship between the energy storage SOC and the cut-off frequency is obtained based on the high pass filtering algorithm. Then the impacts of energy storage capacity, energy storage initial SOC and cut-off frequency on wind Power Fluctuation mitigation are analyzed. In addition, an adaptive high pass filtering algorithm is established, where the initial filtering time constant and filtering time constant step can be determined. So wind Power Fluctuation can be effectively mitigated to meet the grid-connected requirements. Furthermore, a coordinated control strategy for an integrated energy storage system is proposed, where energy storage system is divided into multiple groups of energy storage with different charge and discharge characteristics to achieve the economical operation of the system. Finally, the case study is provided to analyze the effectiveness of the proposed strategies, which can provide a theoretical reference for the promotion of integrated energy storage systems in renewable energy generation.
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microgrid tie line Power Fluctuation mitigation with virtual energy storage
The Journal of Engineering, 2019Co-Authors: Yushu Sun, Dongqiang Jia, Xi Sheng Tang, Xiaozhe Sun, Guowei ZhangAbstract:There is a large amount of controllable loads in the microgrid. They can be described as virtual energy storage to participate in microgrid tie-line Power Fluctuation mitigation. Firstly, in order to meet the grid-connected requirement, the wavelet packet decomposition algorithm is used to smooth the tie-line Power Fluctuation. Furthermore, in order to prevent overcharge and overdischarge of battery or virtual energy storage, the Power allocation between two types of energy storage is implemented equally based on the concept of energy. In addition, the fuzzy control strategy is applied to revise virtual energy storage Power based on its SOC (i.e. state-of-charge), so that virtual energy storage can operate within a reasonable work range. Finally, an example is given to verify the effectiveness of the control strategy.
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coordinated control of multi type energy storage for wind Power Fluctuation suppression
Energies, 2017Co-Authors: Xi Sheng Tang, Yushu Sun, Guo Peng Zhou, Fu Feng MiaoAbstract:The Fluctuations of wind Power impact the stable operation of a Power system as its penetration grows high. Energy storage may be a potential solution to suppress these Fluctuations and has drawn much attention in recent years. As the time scale of wind Power Fluctuations is in a range of seconds to hours, multi-type energy storage with complementary characteristics, such as the combination of energy-type storage devices (ESD) and Power-type storage device (PSD), may be technically and economically feasible to suppress multi-time-scale wind Power Fluctuations. Therefore, system control is very important when the Power allocation among each of the energy storage units is considered. In this paper, a novel coordinated control strategy based on model predictive control (MPC) was proposed for wind Power Fluctuation suppression, which employs MPC for the total Power required for the whole energy storage system and then allocates it between ESD and PSD with the low-pass filter algorithm (LFA) method. Due to the predictive feature of MPC, the Power requirement of the energy storage system can be obtained with little time delay, which means less energy is needed. The effectiveness of the proposed control strategy was verified in a time-domain simulation system. The influence of wind speed conditions and LFA time constant on the wind/storage system were further discussed.
Toshinori Fujii - One of the best experts on this subject based on the ideXlab platform.
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A Simulator of Superconducting Magnetic Energy Storage and an Experiment of Levelling Load Power Fluctuation
IEEJ Transactions on Industry Applications, 1998Co-Authors: Shigeyuki Funabiki, Tsuyoshi Yorioka, Toshinori FujiiAbstract:A Superconducting Magnetic Energy Storage (SMES) using superconductive coil is effective Power storage system. An electric Power system using SMES can perform levelling load Power Fluctuation and improve the, stability of Power system. It is impossible to examine a control strategy for levelling load Power Fluctuation using a SMES, because we can not realize a large capacity of SMES. So we build a SMES simulator as a trial that operates coordinately as a superconductive coil.In this paper, a superconductive coil composed of a coil and a inverter curcuit is realized by numerical expression and experiment. The contorol strategy based on an auto-tuning of scailing factors with neural network can realize levelling the fluctuating active Power and compensating the reactive Power using the SMES simulator.
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A Control Strategy of Leveling Load Power Fluctuation by Successive Learning Fuzzy-Neural Network Based on Prediction of Average Load Power
IEEJ Transactions on Industry Applications, 1996Co-Authors: Toshinori Fujii, Shigeyuki FunabikiAbstract:The effective usage of the Power facilities can be realized by leveling the fluctuating active Power and compensating the reactive Power. The fuzzy control strategy of superconducting magnet energy storages (SMES) was proposed for this purpose. The control results depend on the values of scaling factors in fuzzy reasoning. Therefore, it is desired to obtain better control results that the scaling factors are successively adjusted according to the load Power Fluctuation.In this paper, the control strategy based on an auto-tuning of scaling factors and a fuzzy singleton-type of reasoning method using the back propagation of neural network is proposed for leveling load Fluctuation. The prediction and revision of teaching signal with energy of SMES is proposed. The coefficients of learning rate and the revision of the teaching signal is discussed. Then, we can achieve the better leveling of load Power Fluctuation by using fuzzy logic and neural network.
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A Control Strategy of Levelling Load Power Fluctuation by Using Superconducting Magnetic Energy Storge
IEEJ Transactions on Industry Applications, 1991Co-Authors: Shigeyuki Funabiki, Toshinori FujiiAbstract:If a small capacity of superconducting magnetic energy storaga (SMES) is developed, it can be expected that the SMES equipped near to the consumer levels the load Power Fluctuation and compensates the reactive Power rapidly. It leads the effective use of the Power facilities. In this paper, the authors propose the control strategy of the SMES for levelling the load Power Fluctuation and compensating the reactive Power. Then, the validity of the proposed method is discussed by simulation, The obtained results are summarized as follows.(1) The control method of the SMES is proposed with the estimation function taking account of the energy stored in the SMES and the levelling of load Power fluctration.(2) The region of the proper weighting factors of the estimation function and the exponential smoothing method are obaained for the load Power Fluctuation. The levelling of the Power following the sustained component of the load Power Fluctuation can be achieved by using the obtained weighting factors.(3) The effects of the energy capacity and the current ratings of the SMES on the levelling of the load Power Fluctuation and the compensation of the reactive Power are clarified.
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A Control Strategy Based on Fuzzy Logic for Levelling Load Power Fluctuation by Using Superconducting Magnetic Energy Storage
IEEJ Transactions on Industry Applications, 1991Co-Authors: Shigeyuki Funabiki, Toshinori FujiiAbstract:The control strategy based on fuzzy logic is proposed for levelling the load Power Fluctuation and compensating the reactive Power by using the superconducting magnetic energy storage (SMES) equipped near to the consumer. Then, its control effects are discussed by simulation. The obtained results are summarized as follows.(1) The conditions with respect to the levelling of the active Power in the source line and the energy stored in the SMES are introduced. Then, the production rules on these conditions are constructed.(2) The estimation value LD of levelling the active Power in the source line is proposed in addition to the estimation value υ of following the sustained component.(3) Provided that the base of the triangle in the menbership function is set to 1.05 for the load Power Fluctuation investigated, the most preferable result can be obtained when the heights of triange are 0.01 and 0.6 in the rule 1 and the rule 2, respectively.(4) Comparing with the control results by using the estimation function, the estimation value υ with the fuzzy control is less than that with the estimation function regardless of the capacity of the SMES. Therefore, it is clarified that the levelling of load Power Fluctuation can be achieved by the fuzzy control better than by the estimation function.
Tanapon Karaipoom - One of the best experts on this subject based on the ideXlab platform.
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Optimal Superconducting Coil Integrated Into DFIG Wind Turbine for Fault Ride Through Capability Enhancement and Output Power Fluctuation Suppression
IEEE Transactions on Sustainable Energy, 2015Co-Authors: Tanapon Karaipoom, Issarachai NgamrooAbstract:The vital problems of the grid-connected doubly fed induction generator (DFIG) wind turbine are the fault ride through (FRT) capability and the output Power Fluctuation. To tackle these problems, this paper focuses on the optimization of the superconducting coil (SC) integrated into a dc link of the DFIG wind turbine for an enhancement of the FRT capability and a suppression of the output Power Fluctuation. The dcdc converter, which is used to control the exchanged energy between the SC and the system, is additionally connected between the grid side converter (GSC) and the rotor side converter. During normal operation, the SC acts as an energy storage device to exchange energy with the system so that the Power Fluctuation of the DFIG wind turbine can be alleviated. On the other hand, when severe faults occur in the system, the SC is used as the current limiting inductor to suppress both overcurrent in the rotor and stator, and overvoltage in the dc link of the DFIG. In the optimization, the inductance of the SC, the initial necessary stored energy in the SC, and the proportional integral (PI) parameters of the dcdc converter are tuned simultaneously so that both objectives can be achieved. Simulation study elucidates the control effect of the DFIG wind turbine with the optimal SC.
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cooperative control of sfcl and smes for enhancing fault ride through capability and smoothing Power Fluctuation of dfig wind farm
IEEE Transactions on Applied Superconductivity, 2014Co-Authors: Issarachai Ngamroo, Tanapon KaraipoomAbstract:This paper deals with a cooperative control of a resistive type superconducting fault current limiter (SFCL) and a superconducting magnetic energy storage (SMES) for enhancing fault ride through (FRT) capability and smoothing Power Fluctuation of the doubly fed induction generator (DFIG)-based wind farm. When the system faults occur, the SFCL is used to limit the fault current, alleviate the terminal voltage drop, and transient Power Fluctuation so that the DFIG can ride through the fault. Subsequently, the remaining Power Fluctuation is suppressed by the SMES. The resistive value of the SFCL as well as the superconducting coil inductance of the SMES are simultaneously optimized so that a sudden increase in the kinetic energy in the DFIG rotor during faults, an initial stored energy in the SMES coil, an energy loss of the SFCL, and an output Power Fluctuation of the DFIG are minimum. The superior control effect of the cooperative SFCL and SMES over the individual device is confirmed by simulation study.
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improving low voltage ride through performance and alleviating Power Fluctuation of dfig wind turbine in dc microgrid by optimal smes with fault current limiting function
IEEE Transactions on Applied Superconductivity, 2014Co-Authors: Issarachai Ngamroo, Tanapon KaraipoomAbstract:The vital problems of doubly fed induction generator (DFIG) wind turbine are Power Fluctuation and low-voltage ride-through performance. To tackle both problems, the new circuit configuration and optimization technique of the superconducting magnetic energy storage with fault current limiting function (SMES-FCL) in a DC microgrid are presented. The SMES-FCL circuit mainly consists of two DC choppers with common superconducting coil (SC). During normal operation, the SMES-FCL acts as the SMES unit to suppress the Power Fluctuation of DFIG. When severe faults occur in the system, the SC is automatically connected to the system and used as the fault current limiter. Consequently, the fault current and the terminal voltage drop of DFIG can be alleviated. The energy function method is used to formulate the optimization problem of SC inductance, initial stored energy, and proportional-integral control parameters of choppers. Simulation study confirms the superior control effect of the SMES-FCL over the conventional SMES.
Hang Zhou - One of the best experts on this subject based on the ideXlab platform.
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a capacity configuration control strategy to alleviate Power Fluctuation of hybrid energy storage system based on improved particle swarm optimization
Energies, 2019Co-Authors: Xiao Shi, Li Liao, Chuanjian Zhou, Hang ZhouAbstract:In view of optimizing the configuration of each unit’s capacity for energy storage in the microgrid system, in order to ensure that the planned energy storage capacity can meet the reasonable operation of the microgrid’s control strategy, the Power Fluctuations during the grid-connected operation of the microgrid are considered in the planning and The economic benefit of hybrid energy storage is quantified. A multi-objective function aiming at minimizing the Power Fluctuation on the DC bus in the microgrid and optimizing the capacity ratio of each energy storage system in the hybrid energy storage system (HESS) is established. The improved particle swarm algorithm (PSO) is used to solve the objective function, and the solution is applied to the microgrid experimental platform. By comparing the Power Fluctuations of the battery and the supercapacitor in the HESS, the Power distribution is directly reflected. Comparing with the traditional mixed energy storage control strategy, it shows that the optimized hybrid energy storage control strategy can save 4.3% of the cost compared with the traditional hybrid energy storage control strategy, and the performance of the Power Fluctuation of the renewable energy is also improved. It proves that the proposed capacity configuration of the HESS has certain theoretical significance and practical application value.