發(fā)布時間：2018-05-31 10:55

  本文選題：類電磁機制算法 + 初始種群��； 參考：《華北電力大學(xué)》2017年碩士論文

【摘要】：協(xié)調(diào)控制系統(tǒng)是單元機組的重要組成部分,它的存在有效地保證了單元機組安全、穩(wěn)定、經(jīng)濟的運行。電網(wǎng)要求單元機組不僅能快速響應(yīng)負荷變化,而且要保證機組在變負荷過程中機組的主要運行參數(shù)相對穩(wěn)定,這一動態(tài)調(diào)節(jié)過程能否如期實現(xiàn)不僅僅取決于單元機組鍋爐、汽機和主要輔機的正常投運,更取決于單元機組協(xié)調(diào)控制系統(tǒng)控制策略的設(shè)計和控制器參數(shù)的選取。因此,深入研究單元機組協(xié)調(diào)控制系統(tǒng),在協(xié)調(diào)控制系統(tǒng)中應(yīng)用新的智能控制算法,對現(xiàn)有的協(xié)調(diào)控制系統(tǒng)進行優(yōu)化,提高協(xié)調(diào)控制系統(tǒng)的控制品質(zhì)。這不僅能夠促進相關(guān)科學(xué)的快速發(fā)展,而且具有極高的應(yīng)用價值和理論意義。類電磁機制算法是一種新興的全局智能優(yōu)化算法,該算法的搜索機制是基于對真空中帶電粒子間的相互作用現(xiàn)象的模擬,可行域中的每一個樣本點(粒子)在合力的作用下進行位置更新。本文在深入研究類電磁機制算法的基礎(chǔ)上,圍繞經(jīng)典類電磁機制算法的不足之處進行反復(fù)試驗改進,特別是算法初始樣本點分布不均勻、局部搜索算法易陷入局部最優(yōu)、粒子電荷量和合力計算公式冗雜、粒子更新自適應(yīng)能力不足等方面,分別提出了相應(yīng)的改進策略,通過標準函數(shù)測試證明了改進類電磁機制算法的有效性和可行性。最后針對單元機組協(xié)調(diào)控制系統(tǒng)優(yōu)化的特點,提出對單元機組協(xié)調(diào)控制系統(tǒng)鍋爐主控、汽機主控逐一優(yōu)化的方案,這樣就能夠極大地降低優(yōu)化問題的復(fù)雜度。仿真結(jié)果表明:改進類電磁機制算法和特定目標函數(shù)的有機結(jié)合能夠在單元機組機爐協(xié)調(diào)控制系統(tǒng)優(yōu)化問題中取得較為滿意的優(yōu)化效果,為現(xiàn)場運行人員進行協(xié)調(diào)控制提供了重要的數(shù)據(jù)參考。
[Abstract]:The coordinated control system is an important part of the unit. Its existence effectively ensures the safety, stability and economic operation of the unit units. The power grid requires that the unit not only respond quickly to the load changes, but also ensure that the main operating parameters of the unit are relatively stable during the variable load process. The scheduled implementation not only depends on the normal operation of the unit boiler, the turbine and the main auxiliary engine, but also depends on the design of the control strategy of the unit coordinated control system and the selection of the controller parameters. Therefore, the coordinated control system of the unit unit is deeply studied, and the new intelligent control algorithm is applied to the coordination control system, and the existing coordination system is applied to the existing coordination control system. The control system is optimized to improve the control quality of the coordinated control system. This can not only promote the rapid development of the related science, but also have high application value and theoretical significance. The electromagnetic mechanism algorithm is a new global intelligent optimization algorithm. The search mechanism of this algorithm is based on the interaction of charged particles in the vacuum. Simulation of action phenomenon, each sample point (particle) in the feasible domain is updated with the effect of resultant force. Based on the in-depth study of the electromagnetic mechanism algorithm, this paper makes a repeated experiment and improvement around the shortcomings of the classical electromagnetic mechanism algorithm, especially the inhomogeneous distribution of the initial sample point distribution and the local search algorithm. In the local optimum, the calculation formula of particle charge and joint force is miscellaneous, and the adaptive ability of particle updating is insufficient, the corresponding improvement strategies are put forward respectively. The validity and feasibility of the improved electromagnetic mechanism algorithm are proved by standard function test. Finally, the characteristics of the optimization of the unit coordinated control system are proposed. The scheme of boiler master control and turbine main control is optimized one by one, which can greatly reduce the complexity of the optimization problem. The simulation results show that the organic combination of the improved electromagnetic mechanism algorithm and the specific target function can achieve a more satisfactory optimization in the optimization of the unit boiler furnace coordination control system. The results provide important data reference for coordinated control of field operators.
【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】：2017
【分類號】：TP18;TM621

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本文編號：1959371