【摘要】：現(xiàn)代大型電力系統(tǒng)中電源結(jié)構(gòu)多元化，不同類型機(jī)組特性各不相同，因而對(duì)其運(yùn)行的要求也發(fā)生了相應(yīng)改變，需要對(duì)機(jī)組的啟停和出力組合進(jìn)行更合理的調(diào)度安排，最大限度地減少能源消耗，，進(jìn)一步提升機(jī)組的節(jié)能潛力。為了在更長(zhǎng)的時(shí)間范圍內(nèi)，統(tǒng)籌考慮電力系統(tǒng)運(yùn)行效益，合理安排機(jī)組的啟停和出力，對(duì)系統(tǒng)的經(jīng)濟(jì)性和安全性有更宏觀的反映，本文對(duì)兼顧電力系統(tǒng)經(jīng)濟(jì)效益和環(huán)境效益的中長(zhǎng)期機(jī)組組合問題的多目標(biāo)建模和求解進(jìn)行了研究。 機(jī)組組合問題是一個(gè)大規(guī)模動(dòng)態(tài)非凸混合整數(shù)規(guī)劃問題，對(duì)其求解十分困難。本文建立了兼顧環(huán)境效益和經(jīng)濟(jì)效益的多目標(biāo)中長(zhǎng)期機(jī)組組合問題模型。為了獲得多目標(biāo)模型的具有均勻分布的Pareto最優(yōu)解集，采用NNC法將多目標(biāo)問題轉(zhuǎn)化為單目標(biāo)問題，運(yùn)用GAMS／CPLEX進(jìn)行求解。 同時(shí)，隨著機(jī)組組合模型逐漸貼近實(shí)際，約束會(huì)明顯增多，求解難度會(huì)增大，用嚴(yán)格的數(shù)學(xué)理論優(yōu)化方法求解會(huì)出現(xiàn)困難。因此，提出了求解機(jī)組組合問題的實(shí)用化算法，結(jié)合工程實(shí)際約束，實(shí)現(xiàn)了節(jié)能調(diào)度要求下的發(fā)電機(jī)組排序、開機(jī)組合確定、基于等備用原則的備用容量?jī)?yōu)化安排、機(jī)組出力優(yōu)化的電力系統(tǒng)機(jī)組組合優(yōu)化流程。 采用某省級(jí)電網(wǎng)的實(shí)際數(shù)據(jù)，針對(duì)1周（168時(shí)段）和1個(gè)月（720時(shí)段）的機(jī)組組合問題，分別采用NNC＋GAMS／CPLEX和實(shí)用化算法求解，并進(jìn)行了對(duì)比分析。此外，還采用實(shí)用化算法對(duì)該電網(wǎng)春節(jié)前后41天的機(jī)組組合問題進(jìn)行仿真分析。
[Abstract]:In modern large-scale power system, the power supply structure is diversified, and the characteristics of different types of units are different, so the operation requirements have also changed accordingly, so it is necessary to make more reasonable scheduling arrangements for the starting and stopping of units and the power generation combination. To minimize energy consumption, further enhance the energy conservation potential of the unit. In order to consider the operation benefit of power system in a longer period of time as a whole and arrange the start, stop and output of the unit reasonably, the economy and safety of the system can be reflected more macroscopically. In this paper, the multi-objective modeling and solution of the medium- and long-term unit combination problem with both economic and environmental benefits of power system are studied. The unit commitment problem is a large scale dynamic nonconvex mixed integer programming problem, which is very difficult to solve. In this paper, a multi-objective long-term unit commitment model with both environmental and economic benefits is established. In order to obtain the Pareto optimal solution set with uniform distribution of the multi-objective model, the NNC method is used to transform the multi-objective problem into a single-objective problem, and GAMS/CPLEX is used to solve the problem. At the same time, with the unit model gradually close to the reality, the constraints will increase obviously, the difficulty of solving the problem will increase, and it will be difficult to solve the problem with strict mathematical theory optimization method. Therefore, a practical algorithm for solving the problem of unit combination is proposed. Combined with the practical constraints of engineering, the scheduling of generating units under the requirements of energy-saving scheduling, the determination of start-up combination, and the optimal arrangement of reserve capacity based on the principle of equal reserve are realized. The optimal process of generating power unit combination in power system. Based on the actual data of a provincial power network, NNC+GAMS/CPLEX and practical algorithm are used to solve the unit combination problem of one week (168th) and one month (720th), respectively, and a comparative analysis is carried out. In addition, the practical algorithm is used to simulate the power grid unit combination problem in 41 days before and after Spring Festival.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TM73

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