本文關(guān)鍵詞：計及風(fēng)電場相關(guān)性的電力系統(tǒng)可靠性評估　出處：《華北電力大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 風(fēng)電場 風(fēng)速模型 尾流效應(yīng) 風(fēng)速相關(guān)性 可靠性評估

【摘要】：日漸增長的能源需求和環(huán)境意識的覺醒再次喚起了人們對風(fēng)能的興趣,風(fēng)能因此成為當(dāng)今世界增長最快的能源形式。由于風(fēng)能的間歇性、波動性和隨機性,風(fēng)力發(fā)電的大規(guī)模并網(wǎng)將嚴重威脅電力系統(tǒng)安全可靠運行�？紤]到同一地區(qū)多個風(fēng)電場的風(fēng)速存在一定相關(guān)性,在對含多個風(fēng)電場的電力系統(tǒng)進行可靠性評估時應(yīng)計及風(fēng)電場風(fēng)速的相關(guān)性。 本文以計及風(fēng)電場相關(guān)性的電力系統(tǒng)可靠性評估為研究對象,主要工作包括以下幾個方面：首先,建立了風(fēng)電場風(fēng)速的時間序列模型和概率分布模型,并介紹了風(fēng)速概率模型相應(yīng)參數(shù)的求解方法；針對含風(fēng)電場的電力系統(tǒng)可靠性評估,建立了風(fēng)電場可靠性模型。該模型包括了風(fēng)電機組功率輸出模型、風(fēng)電場尾流效應(yīng)模型以及風(fēng)電機組的停運模型。其中,尾流效應(yīng)模型包含Jensen模型、Lissaman模型和部分遮擋模型,并通過算例分析了風(fēng)向及風(fēng)機布局對風(fēng)電場尾流效應(yīng)的影響。 其次,考慮到處在同一地區(qū)的多個風(fēng)電場的風(fēng)速具有一定相關(guān)性,提出了一種計及風(fēng)電場相關(guān)性的電力系統(tǒng)可靠性評估方法。該方法建立了風(fēng)電場風(fēng)速相關(guān)性模型,用以模擬具有一定相關(guān)性的多個風(fēng)電場風(fēng)速。同時,計及風(fēng)電機組的尾流效應(yīng),利用序貫蒙特卡羅模擬各個元件的運行狀態(tài),將多個風(fēng)電場接入到IEEE-RTS79測試系統(tǒng)進行可靠性評估,研究風(fēng)電場風(fēng)速相關(guān)性對電力系統(tǒng)可靠性的影響。最后,利用MATLAB編寫相應(yīng)程序,通過算例仿真結(jié)果表明：1)、隨著風(fēng)速相關(guān)系數(shù)的增大,風(fēng)電場功率輸出的波動性增加；2)、含風(fēng)電場的電力系統(tǒng)可靠性隨著相關(guān)系數(shù)的增大而降低,即風(fēng)電場風(fēng)速的獨立性有助于提高系統(tǒng)的可靠性；3)、風(fēng)電場分散接入較集中接入更有利于提高系統(tǒng)的可靠性；4)、在評估含多個風(fēng)電場且滲透率較高或負荷峰值水平較高的電力系統(tǒng)可靠性時,應(yīng)考慮風(fēng)電場風(fēng)速的相關(guān)性。
[Abstract]:The growing demand for energy and environmental awareness again aroused the interest of wind energy, wind energy has therefore become the world's fastest growing energy. Due to the intermittency of wind power, fluctuation and randomness, large-scale grid connected wind power will be a serious threat to the safe and reliable operation of power system. Considering the wind speed with multiple wind farms area there is a certain correlation, evaluate the reliability in power system with multiple wind farms should be correlated and wind speed.
Based on the evaluation and correlation of wind power system reliability as the research object, the main work includes the following aspects: first, establish the wind speed time series model and probability distribution model, and introduces the method of solving the corresponding parameters of wind speed probability model; for the reliability evaluation of power system with wind farm, a wind the electric reliability model. The model includes the wind turbine power output model, effect model and the outage model of wind turbine wind farm wake. The wake effect model includes Jensen model, Lissaman model and partial occlusion model, and through the example analysis of the impact of wind direction and wind flow effect on wind farm layout machine tail.
Secondly, considering around a number of wind farms in the same area of the wind speed has a certain correlation, put forward the reliability evaluation methods of a power system with wind farms. The correlation method to establish the wind speed correlation model, a plurality of wind speed to simulate has certain correlation. At the same time, the effect of wind turbine wake, running state of each element by using sequential Monte Carlo simulation, a plurality of wind farm connected to the IEEE-RTS79 test system to evaluate the reliability, effects of wind speed correlation on the reliability of power system. Finally, the corresponding program is written by MATLAB, the simulation results show that: 1), with the increase of wind speed correlation the coefficient of the fluctuation of wind power output increases; 2), wind power reliability decreases with the increase of the correlation coefficient, namely wind speed Independence is helpful to improve the reliability of the system; 3), wind farm access is more conducive to the decentralized centralized access to improve the reliability of the system; 4), containing multiple and high permeability or high level of peak load of wind power system reliability in the assessment, should consider the correlation of wind speed.

【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM732

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