【摘要】：隨著電網(wǎng)規(guī)模的不斷發(fā)展，當(dāng)前電網(wǎng)已經(jīng)成為一個(gè)復(fù)雜互聯(lián)系統(tǒng)包含多個(gè)控制區(qū)域。電網(wǎng)供應(yīng)的電能其質(zhì)量評(píng)定的一個(gè)重要指標(biāo)是頻率。合格的頻率是電網(wǎng)運(yùn)行所必須的，其能確保電網(wǎng)的穩(wěn)定與安全。進(jìn)行頻率控制的主要手段是采用自動(dòng)發(fā)電控制。因此，自動(dòng)發(fā)電控制所能達(dá)到的效果對(duì)電網(wǎng)供應(yīng)的電能質(zhì)量至關(guān)重要。由于運(yùn)行時(shí)間的不同，如每天的用電高峰和低谷時(shí)，電力系統(tǒng)運(yùn)行點(diǎn)會(huì)隨之改變。這就對(duì)電力系統(tǒng)控制性能提出了更高的要求。當(dāng)某一區(qū)域的控制器在某一時(shí)段無(wú)法零化其控制誤差時(shí)，系統(tǒng)頻率和聯(lián)絡(luò)線(xiàn)功率交換將無(wú)法穩(wěn)定運(yùn)行。因此，在AGC控制器中引入智能算法是解決復(fù)雜互聯(lián)系統(tǒng)多區(qū)域協(xié)調(diào)控制的一種可行的方法。這是因?yàn)橹悄芩惴ㄏ啾纫怨潭ㄔ鲆婵刂破鱽?lái)控制的傳統(tǒng)控制算法擁有更好的適應(yīng)性。然而，，國(guó)內(nèi)外并沒(méi)有統(tǒng)一標(biāo)準(zhǔn)的AGC智能仿真平臺(tái)以實(shí)現(xiàn)互聯(lián)電網(wǎng)多控制區(qū)域的協(xié)作控制和有效評(píng)估智能算法的控制效果。 為此，本文提出了基于JADE平臺(tái)開(kāi)發(fā)新型多智能體動(dòng)態(tài)博弈的自動(dòng)發(fā)電控制技術(shù)，并實(shí)時(shí)模擬由于新能源接入而帶來(lái)的電網(wǎng)強(qiáng)隨機(jī)環(huán)境下的自動(dòng)發(fā)電控制，主要內(nèi)容包括以下方面： （1）本文簡(jiǎn)要介紹了多智能體系統(tǒng)，以及多智能體系統(tǒng)在電力系統(tǒng)中的應(yīng)用，并對(duì)自動(dòng)發(fā)電控制進(jìn)行了概述。 （2）本文在第三章中介紹了多智能體仿真平臺(tái)JADE的基本概念，并對(duì)JADE中智能體的行為和通信進(jìn)行了詳細(xì)的介紹。 （3）本文在第四章中給出了所設(shè)計(jì)的基于JADE技術(shù)的多智能體自動(dòng)發(fā)電控制仿真平臺(tái)，該平臺(tái)由頻率響應(yīng)模型、實(shí)時(shí)數(shù)據(jù)傳輸模塊和多智能體控制算法模塊三部分組成。 （4）本文第五章中利用所設(shè)計(jì)的平臺(tái)進(jìn)行了仿真，通過(guò)對(duì)仿真結(jié)果的分析，可知平臺(tái)的控制效果良好。此平臺(tái)可為未來(lái)復(fù)雜互聯(lián)多區(qū)域的控制協(xié)作算法的研究提供更多公正而可靠的評(píng)測(cè)，為設(shè)計(jì)和提升算法性能提供研究基礎(chǔ)。同時(shí)，該平臺(tái)的建立也為未來(lái)復(fù)雜多區(qū)域強(qiáng)隨機(jī)互聯(lián)系統(tǒng)的AGC控制手段的升級(jí)提供了一條走向?qū)嶋H應(yīng)用的思路。
[Abstract]:With the continuous development of power grid scale, power grid has become a complex interconnected system including multiple control areas. Frequency is an important index of quality evaluation of electric energy supplied by power grid. Qualified frequency is necessary for the operation of power grid, which can ensure the stability and security of power grid. The main means of frequency control is automatic generation control. Therefore, the effect of automatic generation control is very important to the power quality of power supply. Because of the different operating time, such as the peak and low point of daily electricity consumption, the power system operation point will change. This puts forward higher requirements for power system control performance. When the controller in a certain region can not zero its control error at a certain time, the system frequency and tie-line power exchange will not operate stably. Therefore, the introduction of intelligent algorithm into AGC controller is a feasible method to solve the multi-area coordinated control of complex interconnected systems. This is because the intelligent algorithm has better adaptability than the traditional control algorithm controlled by fixed gain controller. However, there is no unified AGC intelligent simulation platform to realize the cooperative control of multi-control area and evaluate the control effect of intelligent algorithm. In this paper, a new multi-agent dynamic game based automatic generation control technology based on JADE platform is proposed, and the automatic generation control under the strong random environment of power grid caused by the new energy access is simulated in real time. The main contents are as follows: (1) this paper briefly introduces the multi-agent system and the application of multi-agent system in power system. An overview of automatic generation control is given. (2) in Chapter 3, the basic concept of JADE, a multi-agent simulation platform, is introduced. The behavior and communication of agents in JADE are introduced in detail. (3) in chapter 4, the simulation platform of multi-agent automatic generation control based on JADE technology is presented, which is based on frequency response model. The real-time data transmission module and the multi-agent control algorithm module are composed of three parts. (4) in the fifth chapter of this paper, we use the designed platform to simulate, and through the analysis of the simulation results, we can see that the control effect of the platform is good. This platform can provide more fair and reliable evaluation for the future research of control collaboration algorithm in complex interconnected multi-region, and provide the research foundation for designing and improving the performance of the algorithm. At the same time, the establishment of the platform also provides a way of practical application for upgrading the AGC control methods of complex multi-region strong stochastic interconnected systems in the future.
【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(lèi)號(hào)】：TM921.5

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