Generation scheduling for wind power generation by storage battery system and meteorological forecast

Tanabe, Takayuki; Sato, Tatsunori; Tanikawa, Ryoichi; Aoki, Isao; Funabashi, Toshihisa; Yokoyama, Ryuichi

doi:10.1109/pes.2008.4596116

Cited by 42 publications

(19 citation statements)

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“…Typically, this type of prediction is relatively accurate up to 5 d in advance. This type of weather prediction is useful for commercial wind farms, who can use the information to enhance dispatch control decisions [40]. This type of information would enhance the control decisions in this system, but issues, such as the resolution of the predictions (typically larger than 15 km 2 ), local terrain and cost of accessing the data, would need to be resolved.…”

Section: Battery Charging and Wind Prediction Methodologymentioning

confidence: 99%

Using Atmospheric Pressure Tendency to Optimise Battery Charging in Off-Grid Hybrid Wind-Diesel Systems for Telecoms

2013

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Off grid telecom base stations in developing nations are powered by diesel generators. They are typically oversized and run at a fraction of their rated load for most of their operating lifetime. Running generators at partial load is inefficient and, over time, physically damages the engine. A hybrid configuration uses a battery bank, which powers the telecoms' load for a portion of the time. The generator only operates when the battery bank needs to be charged. Adding a wind turbine further reduces the generator run hours and saves fuel. The generator is oblivious to the current wind conditions, which leads to simultaneous generator-wind power production. As the batteries become charged by the generator, the wind turbine controller is forced to dump surplus power as heat through a resistive load. This paper details how the relationship between barometric pressure and wind speed can be used to add intelligence to the battery charger. A Simulink model of the system is developed to test the different battery charging configurations. This paper demonstrates that if the battery charger is aware of upcoming wind conditions, it will provide modest fuel savings and reduce generator run hours in small-scale hybrid energy systems.

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Section: Battery Charging and Wind Prediction Methodologymentioning

confidence: 99%

Using Atmospheric Pressure Tendency to Optimise Battery Charging in Off-Grid Hybrid Wind-Diesel Systems for Telecoms

2013

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“…Real-time or hardware test Ushiwata [6] SMA EDLC X X X Tanabe [7] SMA Battery X O X Sheikh [8] SMA + EMA SMES X X X Yoshimoto [9] First order lag filter Battery O X X Li [10] SMA Battery/EDLC X X O Suvire [11] Fuzzy logic + SMA Flywheel X X X Mishra [12] Bacteria foraging Battery X X X Li [13] Fuzzy logic + wavelet Battery O X X Jiang [14] Online wavelet…”

Section: Interconnection Requirementmentioning

confidence: 99%

“…In the existing literature, a moving average technique and the first-order delay filter (FDF), the simplest methods, have been applied to smooth out wind power fluctuation [6][7][8][9][10]. Ushiwata et al [6] presented a smoothing approach to mitigate wind power fluctuations using EDLC and the simple moving average (SMA) control method.…”

Section: Introductionmentioning

confidence: 99%

“…Ushiwata et al [6] presented a smoothing approach to mitigate wind power fluctuations using EDLC and the simple moving average (SMA) control method. Tanabe et al [7] used FDF with an adjustable time constant and additional rate limiter to keep the fluctuation of wind power output within 10% for 20 min , while Sheikh et al [8] proposed a hybrid control algorithm including both SMA and exponential moving average (EMA) to generate output power reference of static synchronous compensator (STATCOM)/superconducting magnetic energy storage (SMES) system. A state-of-charge (SOC) regulation method of a battery in a hybrid wind power/battery energy storage system has been proposed in [9], and hardware-in-the-loop (HIL) simulation studies of a wind turbine coupled with battery supercapacitor EESS has been presented in [10].…”

Section: Introductionmentioning

confidence: 99%

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Real-Time Wavelet-Based Coordinated Control of Hybrid Energy Storage Systems for Denoising and Flattening Wind Power Output

et al. 2014

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Abstract:Since the penetration level of wind energy is continuously increasing, the negative impact caused by the fluctuation of wind power output needs to be carefully managed. This paper proposes a novel real-time coordinated control algorithm based on a wavelet transform to mitigate both short-term and long-term fluctuations by using a hybrid energy storage system (HESS). The short-term fluctuation is eliminated by using an electric double-layer capacitor (EDLC), while the wind-HESS system output is kept constant during each 10-min period by a Ni-MH battery (NB). State-of-charge (SOC) control strategies for both EDLC and NB are proposed to maintain the SOC level of storage within safe operating limits. A ramp rate limitation (RRL) requirement is also considered in the proposed algorithm. The effectiveness of the proposed algorithm has been tested by using real time simulation. The simulation model of the wind-HESS system is developed in the real-time digital simulator (RTDS)/RSCAD environment. The proposed algorithm is also implemented as a user defined model of the RSCAD. The simulation results demonstrate that the HESS with the proposed control algorithm can indeed assist in dealing with the variation of wind power generation. Moreover, the proposed method OPEN ACCESSEnergies 2014, 7 6621 shows better performance in smoothing out the fluctuation and managing the SOC of battery and EDLC than the simple moving average (SMA) based method.

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“…The result of meso-scale meteorological prediction (weathre forecast) system by Japan Meteorological Agency (JMA) can be used via internet, and works have been done based on the utilization of this data as written in [8]. Because today's best expertise is there, it is the best tool for the analysis of the weather system dynamics.…”

Section: Introductionmentioning

confidence: 99%

Accuracy Improvement in One-day Ahead Wind Power Output Prediction by Computational Fluid Dynamics Calculation

Kumano¹

2024

RE&PQJ

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Generation scheduling for wind power generation by storage battery system and meteorological forecast

Cited by 42 publications

References 1 publication

Using Atmospheric Pressure Tendency to Optimise Battery Charging in Off-Grid Hybrid Wind-Diesel Systems for Telecoms

Using Atmospheric Pressure Tendency to Optimise Battery Charging in Off-Grid Hybrid Wind-Diesel Systems for Telecoms

Real-Time Wavelet-Based Coordinated Control of Hybrid Energy Storage Systems for Denoising and Flattening Wind Power Output

Accuracy Improvement in One-day Ahead Wind Power Output Prediction by Computational Fluid Dynamics Calculation

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