本文關(guān)鍵詞：風(fēng)電并網(wǎng)系統(tǒng)的旋轉(zhuǎn)備用優(yōu)化策略研究　出處：《東北電力大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

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【摘要】：大規(guī)模風(fēng)電并網(wǎng)為維持系統(tǒng)有功平衡帶來了壓力。受到不同地勢、氣候條件等影響,風(fēng)電出力的間歇性和波動(dòng)性無法準(zhǔn)確預(yù)期,在大規(guī)模風(fēng)電出力預(yù)測偏差較大時(shí),可能導(dǎo)致電力系統(tǒng)的機(jī)組啟停和功率調(diào)控難度加劇。為在保證系統(tǒng)安全穩(wěn)定運(yùn)行的條件下,更多地接納清潔能源,保持良好的系統(tǒng)運(yùn)行經(jīng)濟(jì)性,急需針對大規(guī)模風(fēng)電并網(wǎng)后系統(tǒng)的旋轉(zhuǎn)備用容量優(yōu)化配置問題進(jìn)行合理有效的決策。本文從備用源、網(wǎng)、荷、風(fēng)電四個(gè)方面分析了引起旋轉(zhuǎn)備用的機(jī)理,量化旋轉(zhuǎn)備用的風(fēng)險(xiǎn)成本。通過算例驗(yàn)證了系統(tǒng)在滿足一定安全準(zhǔn)則的條件下,運(yùn)行成本與風(fēng)險(xiǎn)成本必然存在使總費(fèi)用最小的折中。貨幣化系統(tǒng)中各方風(fēng)險(xiǎn),將風(fēng)險(xiǎn)成本解析表達(dá),基于折中準(zhǔn)則建立了權(quán)衡機(jī)組運(yùn)行成本和風(fēng)險(xiǎn)成本的優(yōu)化模型,應(yīng)用于日前調(diào)度,算例表明,利用該模型的優(yōu)化使調(diào)度總成本下降了2.7%;系統(tǒng)中負(fù)荷與裝機(jī)容量的比值越小,優(yōu)化模型對經(jīng)濟(jì)性的提高就顯著。在分析研究旋轉(zhuǎn)備用的響應(yīng)風(fēng)險(xiǎn)成本后,建立了動(dòng)態(tài)經(jīng)濟(jì)調(diào)度旋轉(zhuǎn)備用優(yōu)化模型,應(yīng)用于動(dòng)態(tài)經(jīng)濟(jì)調(diào)度。模型協(xié)調(diào)備用風(fēng)險(xiǎn)響應(yīng)成本和火電機(jī)組的運(yùn)行成本,通過算例驗(yàn)證了模型經(jīng)濟(jì)性,與傳統(tǒng)經(jīng)濟(jì)調(diào)度相比,該模型能夠節(jié)省25%的備用費(fèi)用。在風(fēng)電預(yù)測能力難以提高時(shí),協(xié)調(diào)發(fā)電成本和備用成本的經(jīng)濟(jì)性將有效降低總成本�；诖�,建立了實(shí)時(shí)調(diào)度旋轉(zhuǎn)備用優(yōu)化的二層規(guī)劃模型。上下兩層的備用成本和發(fā)電成本協(xié)調(diào)優(yōu)化,達(dá)到總運(yùn)行費(fèi)用最低,通過算例驗(yàn)證了用該模型分配負(fù)荷和旋轉(zhuǎn)備用的良好經(jīng)濟(jì)性,且響應(yīng)能力強(qiáng),對不同的線路容量有良好的適用性,計(jì)算速度快。本文以確定風(fēng)電并網(wǎng)系統(tǒng)的最優(yōu)旋轉(zhuǎn)備用需求和降低系統(tǒng)運(yùn)行的總成本為目標(biāo),利用相關(guān)模型和算法為風(fēng)電并網(wǎng)系統(tǒng)確定最優(yōu)旋轉(zhuǎn)備用容量提供了一套完整的優(yōu)化策略,包括日前調(diào)度、動(dòng)態(tài)經(jīng)濟(jì)調(diào)度及實(shí)時(shí)調(diào)度旋轉(zhuǎn)備用的優(yōu)化方法,在滿足系統(tǒng)安全準(zhǔn)則的條件下,有效降低了備用需求和系統(tǒng)運(yùn)行總費(fèi)用,有利于系統(tǒng)接納風(fēng)電能力的提升。
[Abstract]:Large-scale wind power grid brings pressure to maintain the balance of active power in the system. Due to the influence of different terrain and climate conditions, the intermittent and volatility of wind power can not be accurately predicted. In order to ensure the safe and stable operation of the power system, clean energy can be accepted more and more when the deviation of large-scale wind power generation prediction is large, which may lead to the increase of power system start-up and shutdown and power regulation. It is urgent to make a reasonable and effective decision on the optimal allocation of the rotating reserve capacity of the system after large-scale wind power is connected to the grid. Four aspects of wind power analysis of the mechanism of rotary reserve, quantification of the risk cost of rotating reserve, and a numerical example to verify that the system meets certain safety criteria. There must be a compromise between operation cost and risk cost to minimize the total cost. In the monetization system, the risk of each party is expressed analytically. Based on the compromise criterion, an optimization model of balancing unit operation cost and risk cost is established, which is applied to pre-day scheduling. An example shows that the optimization of this model can reduce the total scheduling cost by 2.7%. The smaller the ratio of load to installed capacity in the system, the more economical the optimization model is. After analyzing the response risk cost of rotating standby, a dynamic economic scheduling rotational standby optimization model is established. It is applied to dynamic economic dispatch. The model coordinates the cost of standby risk response and the operation cost of thermal power unit. The model economy is verified by an example, which is compared with the traditional economic dispatch. The model can save 25% of reserve cost. When the forecasting ability of wind power is difficult to improve, the economy of coordinating generation cost and reserve cost will reduce the total cost effectively. A two-layer programming model for real-time scheduling rotation reserve optimization is established. The coordination optimization of reserve cost and generation cost between the upper and lower layers reaches the lowest total operating cost. An example is given to verify the good economy of load distribution and rotation reserve with this model, and its strong response ability, which has good applicability to different line capacity. The purpose of this paper is to determine the optimal rotational reserve requirement of the wind power grid connected system and to reduce the total operating cost of the system. This paper provides a complete set of optimization strategies for wind power grid connection system to determine the optimal rotation reserve capacity by using relevant models and algorithms, including pre-day scheduling, dynamic economic scheduling and real-time scheduling rotation reserve optimization methods. Under the condition that the system safety criterion is satisfied, the reserve requirement and the total operating cost of the system are reduced effectively, and the ability of the system to accept wind power is improved.
【學(xué)位授予單位】：東北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TM614

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