• Title/Summary/Keyword: Wind power

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Economic Comparison of Wind Power Curtailment and ESS Operation for Mitigating Wind Power Forecasting Error (풍력발전 출력 예측오차 완화를 위한 출력제한운전과 ESS운전의 경제성 비교)

  • Wi, Young-Min;Jo, Hyung-Chul;Lee, Jaehee
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.67 no.2
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    • pp.158-164
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    • 2018
  • Wind power forecast is critical for efficient power system operation. However, wind power has high forecasting errors due to uncertainty caused by the climate change. These forecasting errors can have an adverse impact on the power system operation. In order to mitigate the issues caused by the wind power forecasting error, wind power curtailment and energy storage system (ESS) can be introduced in the power system. These methods can affect the economics of wind power resources. Therefore, it is necessary to evaluate the economics of the methods for mitigating the wind power forecasting error. This paper attempts to analyze the economics of wind power curtailment and ESS operation for mitigating wind power forecasting error. Numerical simulation results are presented to show the economic impact of wind power curtailment and ESS operation.

Analysis on Factors Influencing on Wind Power Generation Using LSTM (LSTM을 활용한 풍력발전예측에 영향을 미치는 요인분석)

  • Lee, Song-Keun;Choi, Joonyoung
    • KEPCO Journal on Electric Power and Energy
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    • v.6 no.4
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    • pp.433-438
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    • 2020
  • Accurate forecasting of wind power is important for grid operation. Wind power has intermittent and nonlinear characteristics, which increases the uncertainty in wind power generation. In order to accurately predict wind power generation with high uncertainty, it is necessary to analyze the factors affecting wind power generation. In this paper, 6 factors out of 11 are selected for more accurate wind power generation forecast. These are wind speed, sine value of wind direction, cosine value of wind direction, local pressure, ground temperature, and history data of wind power generated.

Flexible Transmission Expansion Planning for Integrating Wind Power Based on Wind Power Distribution Characteristics

  • Wang, Jianxue;Wang, Ruogu;Zeng, Pingliang;You, Shutang;Li, Yunhao;Zhang, Yao
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.709-718
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    • 2015
  • Traditional transmission planning usually caters for rated wind power output. Due to the low occurrence probability of nominal capacity of wind power and huge investment in transmission, these planning methods will leads to low utilization rates of transmission lines and poor economic efficiency. This paper provides a novel transmission expansion planning method for integrating large-scale wind power. The wind power distribution characteristics of large-scale wind power output and its impact on transmission planning are analyzed. Based on the wind power distribution characteristics, this paper proposes a flexible and economic transmission planning model which saves substantial transmission investment through spilling a small amount of peak output of wind power. A methodology based on Benders decomposition is used to solve the model. The applicability and effectiveness of the model and algorithm are verified through a numerical case.

A Study on Centralized Wind Power Forecasting Based on Time Series Models (시계열 모형을 이용한 단기 풍력 단지 출력 지역 통합 예측에 관한 연구)

  • Wi, Young-Min;Lee, Jaehee
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.6
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    • pp.918-922
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    • 2016
  • As the number of wind farms operating has increased, the interest of the central unit commitment and dispatch for wind power has increased as well. Wind power forecast is necessary for effective power system management and operation with high wind power penetrations. This paper presents the centralized wind power forecasting method, which is a forecast to combine all wind farms in the area into one, using time series models. Also, this paper proposes a prediction model modified with wind forecast error compensation. To demonstrate the improvement of wind power forecasting accuracy, the proposed method is compared with persistence model and new reference model which are commonly used as reference in wind power forecasting using Jeju Island data. The results of case studies are presented to show the effectiveness of the proposed wind power forecasting method.

Modelling and Simulating the Spatio-Temporal Correlations of Clustered Wind Power Using Copula

  • Zhang, Ning;Kang, Chongqing;Xu, Qianyao;Jiang, Changming;Chen, Zhixu;Liu, Jun
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1615-1625
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    • 2013
  • Modelling and simulating the wind power intermittent behaviour are the basis of the planning and scheduling studies concerning wind power integration. The wind power outputs are evidently correlated in space and time and bring challenges in characterizing their behaviour. This paper provides a methodology to model and simulate the clustered wind power considering its spatio-temporal correlations using the theory of copula. The sampling approach captures the complex spatio-temporal connections among the wind farms by employing a conditional density function calculated using multidimensional copula function. The empirical study of real wind power measurement shows how the wind power outputs are correlated and how these correlations affect the overall uncertainty of clustered wind power output. The case study validates the simulation technique by comparing the simulated results with the real measurements.

Study on a Development of the Prediction Equation of the Wind Power Plant Noise (풍력발전소 소음 영향 예측식 개발에 관한 연구)

  • Gu, Jinhoi;Lee, Jaewon;Lee, Woo Seok;Jung, Sungsoo
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.26 no.1
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    • pp.49-54
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    • 2016
  • The wind power plants were installed in many places because of the low climate changing effects since 2000. Generally, the wind power plants located in the seaside and the mountainous area and the heights of the windmills are about 40 m~140 m above the ground level. So the noises emitted from the wind power plants propagate far away compared with other environment noise sources like trains and cars noise. Because of these reasons, the noise emitted from the wind power plant is easy to cause the additional social problems like as noise complaints. Under the situation, the ministry of environment has established the guideline to evaluate the environmental effects for the wind power plant. According to the guideline, the noise of the wind power plant has to meet 55 dB(A) at daytime and 45 dB(A) at night in the residential area, which is regulated in the noise and vibration management law. But, it is difficult to estimate the noise emitted from the wind power plant because of the absence of the prediction model of the wind power plant noise. Therefore, the noise prediction model for wind power plants using the regression analysis method is developed in this study. For the development of the model, the sound pressure levels of the wind power plants in Jeju island are measured and the correlations between the sound pressure levels are analyzed. Finally, the prediction equation of the wind power plant noise using by regression analysis method derived. The prediction equation for the wind power plant noise proposed in this study can be useful to evaluate the environmental effects in any wind power plant development district.

Design method and factors of offshore wind power system foundation (해상풍력발전 시스템 기초의 설계방법 및 설계인자)

  • Song, Won-June;Kyung, Doo-Hyun;Lee, Jun-Hwan
    • Proceedings of the Korean Geotechical Society Conference
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    • pp.646-657
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    • 2010
  • Offshore wind power is one of the largest-scale solutions for a nuclear- and pollution-free electricity supply in the future. Recently, the research for offshore wind power has started in Korea. However, there has been little effort specifically made for the exploration and evaluation of mechanical characteristics for offshore underwater soil deposits. In offshore wind power system, this is important as consistent and safe maintenance of structural functionality of the system is key for the wind power system to be successfully implemented. In this study, case examples from foreign offshore wind power sites are selected and analyzed. And design methods and factors of offshore wind power system foundation are investigated.

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Voltage Sag Assessment Considering the Characteristics of Wind Power (풍력 발전 특성을 고려한 순간전압강하 평가)

  • Song, Young-Won;Park, Chang-Hyun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.11
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    • pp.1571-1577
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    • 2012
  • This paper presents a method for assessing the voltage sag performance of power system involving wind power generation. Wind power generation is considered as one of the most desirable renewable energy sources. However, wind power generation have uncertain energy output and it is difficult to control the output. The existing methods of voltage sag assessment are not reflected the characteristics of wind power generation. Therefore, in order to more accurately assess the voltage sag performance, the probability of wind power operation is evaluated. In this paper, the probability is determined by combining the wind speed model with the output curve of wind turbine. The probability of wind power operation is reflected as a parameter in voltage sag assessment. The proposed method can provide more accurate results of voltage sag assessment for the case involving the wind power generation.

Study on Cost of Energy(COE) Reduction Scenario of Korean Offshore Wind Power (해상풍력발전의 에너지단가(COE)절감 시나리오 연구)

  • Sung, Jin Ki;Lee, Jong Hoon;Kang, Kung Suk;Lee, Tae Jin
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.11
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    • pp.1520-1527
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    • 2013
  • The purpose of this study is to derive COE reduction targets of offshore wind power in Korea. In addition, innovation factors for achieving the COE reduction targets were derived. Also the COE reduction targets of offshore wind power was to improve that national policy, technology, industry and improving regulations would like to help. The results of this study has been created based on the various assumptions, scenarios and experts' discussions. Currently, offshore wind power generation price is 229.72won/kWh in 2012. According to the study, COE of offshore wind power has been proposed 88.8won/kWh at third scenario by 2030. This result has shown competitiveness with fossil fuel power generation.

Development of a Stochastic Model for Wind Power Production (풍력단지의 발전량 추계적 모형 제안에 관한 연구)

  • Ryu, Jong-hyun;Choi, Dong Gu
    • Korean Management Science Review
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    • v.33 no.1
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    • pp.35-47
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    • 2016
  • Generation of electricity using wind power has received considerable attention worldwide in recent years mainly due to its minimal environmental impact. However, volatility of wind power production causes additional problems to provide reliable electricity to an electrical grid regarding power system operations, power system planning, and wind farm operations. Those problems require appropriate stochastic models for the electricity generation output of wind power. In this study, we review previous literatures for developing the stochastic model for the wind power generation, and propose a systematic procedure for developing a stochastic model. This procedure shows a way to build an ARIMA model of volatile wind power generation using historical data, and we suggest some important considerations. In addition, we apply this procedure into a case study for a wind farm in the Republic of Korea, Shinan wind farm, and shows that our proposed model is helpful for capturing the volatility of wind power generation.