發(fā)布時間：2018-02-01 00:22

  本文關(guān)鍵詞： 低碳電力 機組組合 多目標(biāo) 抽水蓄能 風(fēng)力發(fā)電 水力發(fā)電　出處：《廣西大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：低碳電力系統(tǒng)由于影響因素眾多、規(guī)模龐大及儲能裝置與新能源發(fā)電技術(shù)的聯(lián)合應(yīng)用,增加了系統(tǒng)優(yōu)化調(diào)度結(jié)構(gòu)的復(fù)雜性。隨著世界能源日趨緊張、環(huán)境日益惡化,如何高效的實現(xiàn)低碳電力的優(yōu)化調(diào)度已成為目前研究的熱點話題。 本文考慮了含抽水蓄能的最優(yōu)經(jīng)濟調(diào)度問題,通過分析低碳電力調(diào)度涉及的關(guān)鍵因素、抽水蓄能功率的互補約束特性方程,建立了含抽水蓄能的多目標(biāo)機組組合低碳調(diào)度模型；對機組組合、多目標(biāo)優(yōu)化問題及抽水蓄能的互補約束條件進行探討,并在10機24時段、10機96時段及擴展算例中進行計算分析,結(jié)果驗證了所述模型在兼顧影響低碳運行相關(guān)因素及運行成本的條件下,通過合理安排火電機組、有效利用抽水蓄能裝置的削峰填谷作用實現(xiàn)了系統(tǒng)的低碳、經(jīng)濟運行。 考慮新能源的低碳、經(jīng)濟、節(jié)能效應(yīng),建立了含抽水蓄能的風(fēng)水火聯(lián)合優(yōu)化調(diào)度模型；為處理風(fēng)力發(fā)電存在的隨機性和波動性問題,本文先采用最小二乘支持向量機算法對風(fēng)速進行預(yù)測,并利用風(fēng)速-功率特性方程計算預(yù)測功率；再采用非參數(shù)估計法求出預(yù)測功率置信區(qū)間,并根據(jù)相對預(yù)測誤差分布特性求出隨機預(yù)測功率曲線。通過對10機96時段及擴展算例的仿真分析驗證了模型在充分利用水電調(diào)峰作用的同時,能很好的協(xié)調(diào)風(fēng)電隨機性給電網(wǎng)帶來的波動性,最終實現(xiàn)電網(wǎng)的環(huán)保、經(jīng)濟、穩(wěn)定運行。
[Abstract]:Because of the large scale and the combined application of energy storage unit and new energy generation technology, low carbon power system has increased the complexity of the optimal scheduling structure of the system. The environment is deteriorating day by day. How to efficiently realize the optimal dispatching of low carbon power has become a hot topic. In this paper, the optimal economic dispatching problem with pumped storage is considered. By analyzing the key factors involved in low carbon power dispatching, the complementary constraint characteristic equation of pumped storage power is analyzed. The low carbon dispatching model of multi-objective unit with pumped storage is established. The problems of unit combination, multi-objective optimization and complementary constraints of pumped storage energy are discussed, and the calculation and analysis are carried out in 10 machines, 24 hours, 10 machines, 96 periods and extended examples. The results show that the model can effectively utilize the peak cutting and filling effect of pumped storage unit to realize the system low carbon by reasonable arrangement of thermal power units under the condition of considering the factors and operating cost of low carbon operation. Economic operation. Considering the low carbon, economic and energy saving effects of new energy, a model for optimal operation of geomantic fire with pumped storage is established. In order to deal with the randomness and volatility of wind power generation, the least square support vector machine (LS-SVM) algorithm is used to predict the wind speed, and the predicted power is calculated by the wind speed power characteristic equation. Then the nonparametric estimation method is used to calculate the confidence interval of the predicted power. According to the characteristic of relative prediction error distribution, the random predicted power curve is obtained. The simulation results of 10 machine 96 period and extended example show that the model makes full use of the function of hydropower peak shaving at the same time. It can coordinate the fluctuation of wind power randomness, and finally realize the environmental protection, economy and stable operation of power grid.
【學(xué)位授予單位】：廣西大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM73;TV743

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本文編號：1480399