本文選題：大電網(wǎng)　切入點：風電接入　出處：《華南理工大學》2014年碩士論文　論文類型：學位論文

【摘要】：隨著全球能源和環(huán)境問題的日益突出，風能等可再生資源得到迅速發(fā)展，風力發(fā)電越來越多地接入電網(wǎng)，但是風力發(fā)電的強間歇性和隨機波動性對系統(tǒng)的優(yōu)化調(diào)度帶來一定的影響。本文針對考慮風電接入并且兼顧經(jīng)濟性和環(huán)保性的大電網(wǎng)多目標動態(tài)優(yōu)化調(diào)度問題展開研究。 針對風電接入的大型電力系統(tǒng)，提出了以發(fā)電總?cè)剂虾牧�、污染氣體排放量和購電費用最小為目標的多目標動態(tài)優(yōu)化調(diào)度模型，引入正/負旋轉(zhuǎn)備用容量應(yīng)對風電隨機性的影響，并考慮了抽水蓄能機組的實際運行特性對優(yōu)化調(diào)度的影響，最后對風電場的有功出力進行修正，從而保證在常規(guī)機組可承受備用的范圍內(nèi)，實現(xiàn)風電的最大化利用。 采用法線邊界交叉(Normal Boundary Intersection, NBI)法和原對偶內(nèi)點法對上述優(yōu)化模型進行求解，首先根據(jù)NBI法的基本原理將多目標優(yōu)化問題轉(zhuǎn)換為一系列單目標優(yōu)化問題，并采用原對偶內(nèi)點法對這一系列單目標優(yōu)化問題進行求解，從而獲得均勻分布的Pareto最優(yōu)解集。然后，采用熵權(quán)雙基點法從Pareto最優(yōu)解集中決策出折衷最優(yōu)解，為運行人員提供決策指導。最后，對某省級電網(wǎng)進行仿真計算，計算結(jié)果表明，NBI法、原對偶內(nèi)點法和熵權(quán)雙基點法的結(jié)合能夠有效地求解電力系統(tǒng)多目標動態(tài)優(yōu)化調(diào)度問題，獲得的折衷最優(yōu)解在兼顧三個目標最優(yōu)的基礎(chǔ)上具有明顯較高的綜合效益。 上述算法在計算大電網(wǎng)動態(tài)優(yōu)化調(diào)度模型時，存在模型規(guī)模大、矩陣維數(shù)高的問題，，計算耗時很大。為了提高計算速度，本文又提出了基于NBI法和原對偶內(nèi)點法的多目標解耦算法及并行計算。該算法首先采用NBI法將多目標優(yōu)化問題轉(zhuǎn)換為一系列單目標優(yōu)化問題，再根據(jù)原對偶內(nèi)點法求解這類單目標優(yōu)化問題時形成的修正方程系數(shù)矩陣的特殊結(jié)構(gòu)，對修正方程進行解耦降階處理，實現(xiàn)靜態(tài)變量和動態(tài)變量的解耦分離，最后借助Matlab并行計算平臺實現(xiàn)并行計算，快速有效地得到一系列均勻分布的Pareto最優(yōu)解。最后，對某省級電網(wǎng)進行仿真計算，計算結(jié)果表明，所提算法能夠快速、有效地獲取多目標動態(tài)優(yōu)化調(diào)度問題的Pareto最優(yōu)解集，具有很好的實用價值。
[Abstract]:With the increasingly prominent global energy and environmental problems, renewable resources such as wind energy have developed rapidly, and wind power is increasingly connected to the power grid. However, the strong intermittent and stochastic volatility of wind power generation has a certain impact on the optimal scheduling of the system. This paper focuses on the multi-objective dynamic optimal scheduling problem of large power grid considering wind power access and taking into account the economic and environmental protection. For large scale power system connected by wind power, a multi-objective dynamic optimal scheduling model is proposed, which aims at minimizing the total fuel consumption, polluting gas emissions and the cost of electricity purchase. The influence of positive / negative rotating reserve capacity on the randomness of wind power is considered, and the effect of actual operation characteristics of pumped storage unit on optimal dispatching is considered. Finally, the active power output of wind farm is modified. Thus, the maximum utilization of wind power can be realized within the range of bearing reserve of conventional units. The above optimization model is solved by normal Boundary intersection (NBI) method and original dual interior point method. Firstly, according to the basic principle of NBI method, the multi-objective optimization problem is transformed into a series of single-objective optimization problems. The original dual interior point method is used to solve this series of single-objective optimization problems, and the uniformly distributed Pareto optimal solution set is obtained. Then, a compromise solution is obtained from the Pareto optimal solution set by using the entropy weight double-base point method. Finally, a provincial power network is simulated and calculated. The results show that the combination of NBI method, dual interior point method and entropy weight double-point method can effectively solve the multi-objective dynamic optimal dispatching problem of power system. The obtained compromise optimal solution has obvious comprehensive benefit on the basis of considering the three objectives optimality. In the calculation of dynamic optimal dispatching model of large power network, the algorithm has the problems of large scale and high dimension of matrix, and it takes a lot of time to calculate. In this paper, the multi-objective decoupling algorithm based on NBI method and the original dual interior point method and parallel computation are proposed. Firstly, the NBI method is used to transform the multi-objective optimization problem into a series of single-objective optimization problems. Then according to the special structure of the coefficient matrix of the modified equation which is formed when the original dual interior point method is used to solve this kind of single-objective optimization problem, the modified equation is decoupled and reduced to realize the decoupling separation of static and dynamic variables. Finally, a series of uniformly distributed Pareto optimal solutions are obtained quickly and effectively by using Matlab parallel computing platform. Finally, the simulation results of a provincial power network show that the proposed algorithm is fast. It is of great practical value to obtain the Pareto optimal solution set of multi-objective dynamic optimal scheduling problem.
【學位授予單位】：華南理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TM614

【參考文獻】

相關(guān)期刊論文 前10條

1 孟祥星;王宏;;大規(guī)模風電并網(wǎng)條件下的電力系統(tǒng)調(diào)度[J];東北電力大學學報(自然科學版);2009年01期

2 韓學山,柳焯;考慮機組爬坡速度和網(wǎng)絡(luò)安全約束的經(jīng)濟調(diào)度解耦算法[J];電力系統(tǒng)自動化;2002年13期

3 張建偉,侯朝楨;發(fā)電動態(tài)經(jīng)濟調(diào)度的有效響應(yīng)能力調(diào)整量算法[J];電力系統(tǒng)自動化;2004年22期

4 韓愷;趙均;錢積新;;電力系統(tǒng)機組組合問題的閉環(huán)粒子群算法[J];電力系統(tǒng)自動化;2009年01期

5 熊寧;程浩忠;馬則良;朱忠烈;;發(fā)電機出力成本與負荷裕度置換度指標的NBI求解方法[J];電力系統(tǒng)自動化;2010年05期

6 張伯明;吳文傳;鄭太一;孫宏斌;;消納大規(guī)模風電的多時間尺度協(xié)調(diào)的有功調(diào)度系統(tǒng)設(shè)計[J];電力系統(tǒng)自動化;2011年01期

7 唐海華;黃春雷;丁杰;;混合式抽水蓄能電站優(yōu)化調(diào)度策略[J];電力系統(tǒng)自動化;2011年21期

8 沈偉;吳文傳;張伯明;鄭太一;孫宏斌;;消納大規(guī)模風電的在線滾動調(diào)度策略與模型[J];電力系統(tǒng)自動化;2011年22期

9 徐帆;劉軍;張濤;丁恰;涂孟夫;;考慮抽水蓄能機組的機組組合模型及求解[J];電力系統(tǒng)自動化;2012年12期

10 蘇新民,毛承雄,陸繼明;對角塊加邊模型的并行潮流計算[J];電網(wǎng)技術(shù);2002年01期

相關(guān)博士學位論文 前4條

1 王楠;發(fā)電調(diào)度優(yōu)化模型與方法研究[D];華北電力大學（北京）;2011年

2 劉志文;基于外網(wǎng)等值的多區(qū)域電力系統(tǒng)無功優(yōu)化計算[D];華南理工大學;2011年

3 謝毓廣;計及網(wǎng)絡(luò)安全約束和風力發(fā)電的機組組合問題的研究[D];上海交通大學;2011年

4 邱威;考慮間歇性能源接入和運行安全的多目標有功優(yōu)化調(diào)度[D];華北電力大學;2012年

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