發(fā)布時(shí)間：2018-04-28 06:52

  本文選題：梯級(jí)水電站 + 火電機(jī)組　； 參考：《華北電力大學(xué)》2015年碩士論文

【摘要】：隨著我國新能源電力系統(tǒng)的發(fā)展,由于風(fēng)能、太陽能發(fā)電等新能源電力具有隨機(jī)波動(dòng)性和不穩(wěn)定特性,其大規(guī)模接入電網(wǎng)必然會(huì)對(duì)電網(wǎng)造成一定量的沖擊,影響電網(wǎng)的安全穩(wěn)定運(yùn)行。因此在新能源電力系統(tǒng)中,為了平抑新能源電力對(duì)電網(wǎng)的影響,必須要增強(qiáng)功率可調(diào)電源的調(diào)節(jié)能力。而在我國能源結(jié)構(gòu)中,燃?xì)�、燃油機(jī)組等響應(yīng)較快的電源所占比例非常低,因此調(diào)節(jié)傳統(tǒng)的水電機(jī)組和火電機(jī)組成了新能源電力系統(tǒng)發(fā)展的需要。而在水火聯(lián)合調(diào)度過程中,在保證電網(wǎng)負(fù)荷需求的前提下,為了使得水火聯(lián)合調(diào)度系統(tǒng)的利益最大化,本文主要對(duì)以下幾個(gè)方面展開研究：(1)在研究梯級(jí)水電站系統(tǒng)和火電機(jī)組特性的基礎(chǔ)上,分析了梯級(jí)水電站系統(tǒng)的出力特性、關(guān)聯(lián)特性以及相互制約關(guān)系,研究了火電機(jī)組的煤耗特性以及對(duì)環(huán)境的污染特性,進(jìn)而為水火聯(lián)合優(yōu)化調(diào)度奠定基礎(chǔ)；(2)針對(duì)水火聯(lián)合優(yōu)化調(diào)度問題,其本質(zhì)上可以抽象為多目標(biāo)多約束的數(shù)學(xué)問題進(jìn)行求解。在研究多目標(biāo)優(yōu)化問題和多目標(biāo)優(yōu)化粒子群算法的基礎(chǔ)上,研究了基于多智能體的粒子群算法,對(duì)傳統(tǒng)粒子群算法進(jìn)行了改進(jìn),提升了最優(yōu)解的收斂性和準(zhǔn)確定；(3)針對(duì)水火聯(lián)合調(diào)度中各個(gè)目標(biāo)和約束條件,提出了水火聯(lián)合優(yōu)化調(diào)度數(shù)學(xué)模型,進(jìn)而利用改進(jìn)的粒子群算法,對(duì)以4臺(tái)水電站和3臺(tái)火電機(jī)組組成的水火聯(lián)合調(diào)度系統(tǒng)進(jìn)行了計(jì)算和求解,得出水火聯(lián)合發(fā)電系統(tǒng)在不同時(shí)間段的優(yōu)化調(diào)度策略。
[Abstract]:With the development of new energy and power system in China, due to the random fluctuation and instability of new energy power, such as wind energy, solar power generation and so on, its large-scale access to the power grid will inevitably cause a certain amount of impact on the power network. It affects the safe and stable operation of power grid. So in the new energy power system, in order to stabilize the influence of the new energy power on the power grid, it is necessary to enhance the regulating ability of the power adjustable power supply. However, in the energy structure of our country, the proportion of quick response power sources such as gas and fuel units is very low, so adjusting the traditional hydropower units and thermal power units has become the need of the development of new energy power system. In the process of water-fire joint dispatching, in order to maximize the benefit of the water-fire joint dispatching system, under the premise of ensuring the power grid load demand, On the basis of studying the characteristics of cascade hydropower station system and thermal power unit, this paper analyzes the characteristics of the cascade hydropower station system, the correlation characteristic and the mutual restriction relation. The characteristics of coal consumption and pollution to the environment of thermal power units are studied in this paper, and then the foundation is laid for the joint optimal scheduling of water and fire. In essence, the problem can be abstracted as a multi-objective and multi-constraint mathematical problem to solve the problem. On the basis of studying multi-objective optimization problem and multi-objective optimization particle swarm optimization algorithm, the particle swarm optimization algorithm based on multi-agent is studied, and the traditional particle swarm optimization algorithm is improved. The convergence of the optimal solution and the accurate determination of the optimal solution are improved. Aiming at the various objectives and constraints in the water-fire joint scheduling, the mathematical model of the water-fire joint optimal scheduling is proposed, and then the improved particle swarm optimization algorithm is used. Based on the calculation and solution of the hydro-thermal power system composed of 4 hydropower stations and 3 thermal power units, the optimal scheduling strategy of the hydro-thermal power generation system in different time periods is obtained.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TM61;TM73

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本文編號(hào)：1814231