• Title/Summary/Keyword: Capacity Of Wind Power

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Smooth Wind Power Fluctuation Based on Battery Energy Storage System for Wind Farm

  • Wei, Zhang;Moon, Byung Young;Joo, Young Hoon
    • Journal of Electrical Engineering and Technology
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    • v.9 no.6
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    • pp.2134-2141
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    • 2014
  • This paper addresses on a wind power system with BESS(Battery Energy Storage System). The concerned system consists of four parts: the wind speed production model, the wind turbine model, configure capacity of the battery energy storage, battery model and control of the BESS. First of all, we produce wind speed by 4-component composite wind speed model. Secondly, the maximum available wind power is determined by analyzing the produced wind speed and the characteristic curve of wind power. Thirdly, we configure capacity of the BESS according to wind speed and characteristic curve of wind speed-power. Then, we propose a control strategy to track the power reference. Finally, some simulations have been demonstrated to visualize the feasibility of the proposed methodology.

Determination of the appropriate BESS capacity for stabilizing the output of HanGeong wind power under consideration of Jeju Island power system operating conditions. (제주계통운전조건을 고려한 한경 풍력 출력 안정화를 위한 BESS 적정 용량산정)

  • Kim, DongWan;Lee, DoHeon;Kim, Eel-Hwan
    • Proceedings of the KIPE Conference
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    • 2013.07a
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    • pp.481-482
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    • 2013
  • This paper presents the method to determine the battery capacity for controlling the wind power with BESS for stabilizing the output of HanGeong wind farm in accordance with grid codes for distributed generators in Jeju Island. To find appropriate capacity of BESS, three kinds of simulations are carried out : There are focused on smoothing control, the frequency fluctuation and the renewable energy resources standards, respectively. As the simulation result, maximum C-rates of BESS for the wind farm are calculated as 2C, 5C and 2C that are for each method and battery capacities have 25%, 20% and 10% of total capacity of HanGeong wind farm. Finally, simulations for this paper are carried out by using PSCAD/EMTDC.

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Allocation of Energy Storage Capacity for Large Wind Farms in Korea using Discrete Fourier Transform

  • Moon, Seung-pil;Labios, Remund;Chang, Byung-hoon;Kim, Soo-yeol;Yoon, Yong-beum
    • KEPCO Journal on Electric Power and Energy
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    • v.2 no.3
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    • pp.377-382
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    • 2016
  • In 2013, a total capacity of 591.3 MW of installed wind power generation was achieved in Korea, with a total of 1,139 MWh of wind energy generated that year. More wind power plants will be installed in the coming years, and it is important to develop methods to reduce the output variability of these resources so as to provide stable power to the power grid of Korea. In this regard, this paper proposes the use of energy storage system (ESS) as a means to stabilize the output variability of wind power plants. Presented in this paper is a method that uses Discrete Fourier Transform (DFT) to determine the ESS capacity needed to provide a stable power output for ancillary services such as frequency regulation, economic dispatch, and emergency reserves. In the first step of the proposed method, four regions (namely, Samdal, Yeongdeok, Yeongyang, and Gangwon) in Korea that had the most wind power generation capacity were selected for analysis. In the second step, the individual and aggregated wind power outputs of the selected regions in 2013 were obtained This information was then used in the third step, where DFT analysis of the power outputs was used to drive the magnitudes of the output variation. And finally, the ESS capacity requirements needed to provide different ancillary services were determined based on the magnitudes of the output variation.

Evaluation of the Wind Power Penetration Limit and Wind Energy Penetration in the Mongolian Central Power System

  • Ulam-Orgil, Ch.;Lee, Hye-Won;Kang, Yong-Cheol
    • Journal of Electrical Engineering and Technology
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    • v.7 no.6
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    • pp.852-858
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    • 2012
  • This paper describes evaluation results of the wind power penetration limit (WPPL) and the wind energy penetration (WEP) in the Mongolian central power system (MCPS). A wind power plant (WPP) in a power system possesses an output power limit because the power system must maintain a balance between the generation and consumption of electricity at all times in order to achieve an adequate level of quality. The instantaneous penetration limit (IPL) of wind generation at a load is determined as the minimum of the three technical constraints: the minimum output, the ramp rate capability, and the spinning reserve of the conventional generating units. In this paper, a WPPL is defined as the maximum IPL divided by the peak load. A maximal variation rate (VR) of wind power is a major factor in determining the IPL, WPPL, and WEP. This paper analyzes the effects of the maximal VR of wind power on the WPPL, WEP, and capacity factor (CF) in the MCPS. The results indicate that a small VR can facilitate a large amount of wind energy while maintaining a high CF with increased wind power penetration.

Analysis of Wind Energy Potential on the West Coast of South Korea Using Public Data from the Korea Meteorological Administration (기상청 공공데이터를 활용한 대한민국 서해안 일대의 바람자원 분석)

  • Sangkyun Kang;Sung-Ho Yu;Sina Hadadi;Dae-Won Seo;Jungkeun Oh;Jang-Ho Lee
    • Journal of Wind Energy
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    • v.14 no.3
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    • pp.14-24
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    • 2023
  • The significance of renewable energy has been on the rise, as evidenced by the 3020 renewable energy plan and the 2050 carbon neutrality strategy, which seek to advance a low-carbon economy by implementing a power supply strategy centered around renewable energy sources. This study examines the wind resources on the west coast of South Korea and confirms the potential for wind power generation in the area. Wind speed data was collected from 22 automatic weather system stations and four light house automatic weather system stations provided by the Korea Meteorological Administration to evaluate potential sites for wind farms. Weibull distribution was used to analyze the wind data and calculate wind power density. Annual energy production and capacity factors were estimated for 15-20 MW-class large wind turbines through the height correction of observed wind speeds. These findings offer valuable information for selecting wind power generation sites, predicting economic feasibility, and determining optimal equipment capacity for future wind power generation sites in the region.

Evaluation of wind power potential for selecting suitable wind turbine

  • Sukkiramathi, K.;Rajkumar, R.;Seshaiah, C.V.
    • Wind and Structures
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    • v.31 no.4
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    • pp.311-319
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    • 2020
  • India is a developing nation and heavily spends on the development of wind power plants to meet the national energy demand. The objective of this paper is to investigate wind power potential of Ennore site using wind data collected over a period of two years by three parameter Weibull distribution. The Weibull parameters are estimated using maximum likelihood, least square method and moment method and the accuracy is determined using R2 and root mean square error values. The site specific capacity factor is calculated by the mathematical model developed by three parameter Weibull distribution at different hub heights above the ground level. At last, the wind energy economic analysis is carried out using capacity factor at 30 m, 40 m and 50 m height for different wind turbine models. The analysis showed that the site has potential to install utility wind turbines to generate energy at the lowest cost per kilowatt-hour at height of 50 m. This research provides information of wind characteristics of potential sites and helps in selecting suitable wind turbine.

Analysis of effect on power system considering the maximum penetration limit of wind power (풍력발전 한계운전용량에 대한 계통영향 분석)

  • Myung, Ho-San;Kim, Bong-Eon;Kim, Hyeong-Taek;Kim, Se-Ho
    • Journal of the Korean Solar Energy Society
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    • v.32 no.3
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    • pp.19-25
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    • 2012
  • About supply and demand to see that you need to match, the limitations of wind power capacity is low demand and the commitment of the general generator will exist between the minimum generation. if the turbine's output can be controlled, The limitation of wind power capacity will be adopted based on instant power generation. Namely, The minimum limits of wind power generation based load operation by calculating the amount that is higher than if the output should be restricted to highest operation. in this paper, we committed to the demand for low enough that the combination of the general generator of wind power capacity to accommodate the operation of determining whether the limit is intended to. For this, power system analysis program PSS/E was used, Jeju system by implementing the model simulations were performed.

A Study on Optimal Flywheel Capacity Estimation for Ulleung-do Power System (울릉도 계통에 대한 플라이휠 최적 용량 산정에 관한 연구)

  • Choi, Seong-Won;Lee, Han-Sang;Lee, Jung-Pil;Han, Sang-Chul;Sung, Tae-Hyun;Han, Young-Heui;Jang, Gil-Soo
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.606-607
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    • 2007
  • This paper is about optimal flywheel capacity estimation for Ullueng-do power system. The power system of Ullueng-do has some differences with other island power system in Korea. It includes wind generator, hydro-generators as well as diesel generators. There are some problems on 600kW wind generator. Because of frequent drop of wind generator, the Ulleung-do power system have been threatened on frequency. The power frequency is 60Hz, and it should be between 59.9 and 60.1Hz. However, since the electrical inertia is small and the weight of wind generation is relatively high, generator drop of wind generation might make the power frequency out of boundary. In this paper, the flywheel energy storage system is assumed to be installed on Ulleung-do power system. Then, the maximum wind generation capacity and the optimal superconducting flywheel energy storage system capacity is estimated by the transient stability simulations.

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Investigation on Selecting Optimal Wind Turbines in the Capacity Factor Point of View (이용률 관점에서의 최적 풍력발전기 선정에 대한 연구)

  • Woo, Jae-Kyoon;Kim, Byeong-Min;Paek, In-Su;Yoo, Neung-Soo;Nam, Yoon-Su
    • Journal of the Korean Solar Energy Society
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    • v.31 no.5
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    • pp.60-66
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    • 2011
  • Selecting optimal wind turbine generators for wind farm sites in the capacity factor point of view is performed in this study. A program to determine the best wind turbine generator for the maximum capacity factor for a site was developed. The program uses both the wind characteristics of the site of interest and the power curves of the wind turbines. The program developed was applied to find out optimal wind turbine generators of three different sites in complex terrain and successfully yielded the best site dependent wind turbine generators. It was also used to determine the best wind turbine generator of the wind farm currently operating in Korea and proved its usefulness. The program and methodology developed in this study considered to be very useful at the initial design stage of the wind farm to determine the best wind turbine generators for the site of interest.

Optimization of Battery Storage Capacity with Min-Max Power Dispatching Method for Wind Farms

  • Nguyen, Cong-Long;Kim, Hyung-Jun;Lee, Tay-Seek;Lee, Hong-Hee
    • Proceedings of the KIPE Conference
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    • 2013.07a
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    • pp.238-239
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    • 2013
  • It is a crucial requirement to utilize an economical battery capacity for the wind energy conversion system. In this paper, the optimal BESS capacity is determined for the wind farm whose dispatched power is assigned by the min-max dispatching method. Based on a lifetime cost function that indicates the BESS cost spent to dispatch 1kWh wind energy into grid, the battery capacity can be optimized so as to obtain the minimum system operation cost. Moreover, the battery state of charge (SOC) is also managed to be in a safe operating range to ensure the system undamaged. In order to clarify the proposed optimizing method, a 3MW permanent magnet synchronous generator (PMSG) wind turbine model and real wind speed data measured each minute are investigated.

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