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配電網(wǎng)臺(tái)區(qū)用戶智能識(shí)別系統(tǒng)研究

發(fā)布時(shí)間:2018-06-10 13:33

  本文選題:蟻群算法 + 載波通信技術(shù) ; 參考:《上海電力學(xué)院》2017年碩士論文


【摘要】:近年來,全國各地逐步建立了遠(yuǎn)程自動(dòng)抄表系統(tǒng)用于遠(yuǎn)程抄表,然而,在一些老舊小區(qū)以及沿街門面,配電網(wǎng)臺(tái)區(qū)用戶混亂、不準(zhǔn)確甚至缺失,嚴(yán)重影響了遠(yuǎn)程自動(dòng)抄表系統(tǒng)準(zhǔn)確管理臺(tái)區(qū)用戶及精細(xì)化統(tǒng)計(jì)分析臺(tái)區(qū)線損等正常功能。針對(duì)這一問題本文提出了基于載波通信技術(shù)實(shí)現(xiàn)配電網(wǎng)臺(tái)區(qū)用戶智能識(shí)別系統(tǒng),用于智能識(shí)別臺(tái)區(qū)內(nèi)配電變壓器與采集器及用戶的從屬關(guān)系,并在遠(yuǎn)程監(jiān)控中心顯示識(shí)別結(jié)果。針對(duì)現(xiàn)有識(shí)別算法準(zhǔn)確率不高的問題,本文還提出了結(jié)合蟻群、遺傳和BP神經(jīng)網(wǎng)絡(luò)的等智能算法,該算法能夠很好解決復(fù)雜線路情況下用戶信息的準(zhǔn)確識(shí)別,有效提高工作效率和識(shí)別準(zhǔn)確性。經(jīng)現(xiàn)場測試,識(shí)別儀在線識(shí)別率為97.7%,手持儀輔助現(xiàn)場識(shí)別可以實(shí)現(xiàn)用戶信息全部識(shí)別,證明了方案的可行性和系統(tǒng)的可靠性。本課題主要開展了以下研究工作:1、搭建了配電網(wǎng)臺(tái)區(qū)用戶智能識(shí)別系統(tǒng)的架構(gòu)。配電網(wǎng)臺(tái)區(qū)用戶智能識(shí)別系統(tǒng)由上位機(jī)、識(shí)別儀和手持儀三部分構(gòu)成。識(shí)別儀通過廣播通信主動(dòng)上報(bào)方法識(shí)別臺(tái)區(qū)下所有采集器信息,手持儀通過點(diǎn)對(duì)點(diǎn)通信被動(dòng)查詢方法識(shí)別具體某臺(tái)采集器或某個(gè)用戶信息,識(shí)別結(jié)果通過GPRS遠(yuǎn)程通信方式傳輸?shù)竭h(yuǎn)程監(jiān)控中心的上位機(jī)。2、研究了配電網(wǎng)臺(tái)區(qū)用戶智能識(shí)別系統(tǒng)硬件設(shè)計(jì)方法。為方便系統(tǒng)安裝和調(diào)試,系統(tǒng)硬件采用單元化設(shè)計(jì)方案,可方便更改電路設(shè)計(jì)和更換電路單元。識(shí)別儀和手持儀共同硬件單元主要有主控板單元、GPRS遠(yuǎn)程通信單元、電源單元和底板單元,主要區(qū)別在于識(shí)別儀采用三相載波通信單元,手持儀采用單相載波通信單元。3、研究了基于蟻群的配電網(wǎng)載波通信混合路由算法。為了進(jìn)一步提高電力線載波通信可靠性,該算法將跳數(shù)、時(shí)延和丟包率等因素引入路徑開銷代價(jià),以兩節(jié)點(diǎn)之間的距離和通信信號(hào)品質(zhì)為約束條件,求解在此條件下開銷代價(jià)值最小的路由。此外,進(jìn)一步改進(jìn)了蟻群算法轉(zhuǎn)移規(guī)則及信息素更新規(guī)則,并使用遺傳算法初始化種群,采用模擬退火算法解決遺傳算法內(nèi)部閉環(huán)問題,可有效避免出現(xiàn)早熟現(xiàn)象。4、研究了基于BP神經(jīng)網(wǎng)絡(luò)的配電網(wǎng)臺(tái)區(qū)智能識(shí)別方法。識(shí)別儀與手持儀的輔助應(yīng)用可通過載波通信技術(shù)可初步識(shí)別出已識(shí)別用戶、未識(shí)別用戶和跨臺(tái)區(qū)不確定用戶,針對(duì)跨臺(tái)區(qū)不確定用戶,手持儀基于電力載波信號(hào)品質(zhì)和前向BP神經(jīng)網(wǎng)絡(luò)進(jìn)行臺(tái)區(qū)用戶智能識(shí)別,可提高臺(tái)區(qū)用戶識(shí)別準(zhǔn)確度,實(shí)現(xiàn)臺(tái)區(qū)用戶全識(shí)別。5、對(duì)配電網(wǎng)臺(tái)區(qū)用戶智能識(shí)別系統(tǒng)進(jìn)行了系統(tǒng)測試,測試結(jié)果顯示通過識(shí)別儀和手持儀現(xiàn)場識(shí)別后,識(shí)別儀識(shí)別率高達(dá)97.7%,系統(tǒng)現(xiàn)場功能和性能良好,滿足電力公司普查臺(tái)區(qū)用戶和相位信息要求。
[Abstract]:In recent years, remote automatic meter reading system has been gradually established in various parts of the country for remote meter reading. However, in some old residential areas and along the street, users in distribution network stations are confused, inaccurate or even missing. It seriously affects the normal functions of the remote automatic meter reading system, such as accurate management of users in the station area and fine statistical analysis of line loss of the station area. In order to solve this problem, this paper presents an intelligent identification system for distribution station users based on carrier communication technology, which can be used to identify the relationship between distribution transformers, collectors and users in the distribution network, and display the identification results in the remote monitoring center. In order to solve the problem that the accuracy of existing recognition algorithms is not high, this paper also puts forward some intelligent algorithms, such as ant colony, genetic and BP neural networks, which can solve the problem of accurate identification of user information in complex circuits. Effectively improve work efficiency and recognition accuracy. Field test shows that the on-line recognition rate of the recognizer is 97.7. the hand-held instrument can realize the identification of all the user information, which proves the feasibility of the scheme and the reliability of the system. In this paper, the following research work is carried out, and the structure of intelligent identification system for distribution station area is built. The intelligent identification system of distribution station area consists of upper computer, recognizer and handheld instrument. The recognizer identifies all the information of the collector in the station area by the method of active report of broadcast communication, and the handheld instrument recognizes the information of a specific collector or a user by means of passive inquiry method of point-to-point communication. The identification results are transmitted to the upper computer of the remote monitoring center by GPRS remote communication mode. The hardware design method of the intelligent identification system for distribution network stations is studied. In order to facilitate the installation and debugging of the system, the hardware of the system adopts a unit design scheme, which can easily change the circuit design and replace the circuit unit. The common hardware unit of the recognizer and the handheld instrument mainly consists of the main control board unit, the GPRS remote communication unit, the power supply unit and the bottom board unit. The main difference is that the recognition instrument adopts a three-phase carrier communication unit. A hybrid routing algorithm for distribution network carrier communication based on ant colony is studied by using single phase carrier communication unit. 3. In order to further improve the reliability of power line carrier communication, the algorithm introduces the number of hops, delay and packet loss rate into the cost of path overhead, which is constrained by the distance between two nodes and the quality of the communication signal. Under this condition, the routing with minimal overhead is solved. In addition, the ant colony algorithm transfer rule and pheromone update rule are further improved, and the genetic algorithm is used to initialize the population, and the simulated annealing algorithm is used to solve the internal closed-loop problem of genetic algorithm. The precocity phenomenon. 4 can be avoided effectively. The intelligent recognition method of distribution network based on BP neural network is studied. The auxiliary applications of the recognizer and the handheld instrument can be used to identify the identified user, the unrecognized user and the cross-station uncertain user through the carrier communication technology. Based on the power carrier signal quality and the forward BP neural network, the handheld instrument can improve the accuracy of station area user identification, realize the full identification of station area user .5. the system test of distribution network station area user intelligence identification system is carried out. The test results show that the recognition rate of the recognizer is as high as 97.7after the field identification of the instrument and the handheld instrument. The system has good field function and performance, which can meet the requirements of the users and phase information in the survey station area of the power company.
【學(xué)位授予單位】:上海電力學(xué)院
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TM76

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