本文選題：配電網(wǎng)狀態(tài)估計(jì) + 新息圖��； 參考：《哈爾濱工業(yè)大學(xué)》2014年碩士論文

【摘要】：配電網(wǎng)狀態(tài)估計(jì)是獲得配電系統(tǒng)準(zhǔn)確實(shí)時(shí)狀態(tài)信息的重要手段，是配電網(wǎng)運(yùn)行控制的基礎(chǔ)。本文針對(duì)波動(dòng)性分布式電源并網(wǎng)后的配電網(wǎng)狀態(tài)估計(jì)問(wèn)題展開(kāi)研究，以新息圖理論為基礎(chǔ)，建立含分布式電源配電網(wǎng)的新息圖模型，對(duì)一系列不正常事件進(jìn)行辨識(shí)。 針對(duì)接入波動(dòng)性分布式電源后，節(jié)點(diǎn)注入不正常事件發(fā)生頻繁，輻射狀配電網(wǎng)近根部支路因受新息誤差累加的影響，而導(dǎo)致不正常事件誤判或者湮沒(méi)的問(wèn)題，通過(guò)分析誤差形成的原因，提出了計(jì)及網(wǎng)損和分布式電源輸出功率的計(jì)算新息矢量，用當(dāng)前時(shí)刻的節(jié)點(diǎn)注入測(cè)量與節(jié)點(diǎn)注入預(yù)報(bào)分別回推計(jì)算各支路潮流，將得到的兩潮流作差，形成計(jì)算新息矢量，并代替原有的連支推算新息矢量，同時(shí)對(duì)分布式電源進(jìn)行簡(jiǎn)化處理，建立含分布式電源配電網(wǎng)的新息圖模型。通過(guò)蒙特卡洛模擬的方法對(duì)兩種新息圖模型的誤差進(jìn)行了比較，結(jié)果表明計(jì)算新息矢量在新息圖計(jì)算中能夠極大降低新息誤差，提高了新息圖在配電網(wǎng)中辨識(shí)不正常事件的精確度。 與輸電網(wǎng)的新息圖建模不同，配電網(wǎng)新息圖計(jì)算中必須用到節(jié)點(diǎn)注入測(cè)量，會(huì)出現(xiàn)節(jié)點(diǎn)注入測(cè)量誤差較大的壞數(shù)據(jù)和預(yù)報(bào)誤差較大的負(fù)荷突變發(fā)生在同一位置的情況，配電網(wǎng)中接入間歇式、波動(dòng)性分布式電源后，受兩種誤差交疊影響的情況進(jìn)一步加重。針對(duì)節(jié)點(diǎn)注入測(cè)量壞數(shù)據(jù)與負(fù)荷突變交疊、多相關(guān)測(cè)量壞數(shù)據(jù)與負(fù)荷突變交疊這兩類問(wèn)題，基于含分布式電源配電網(wǎng)新息圖模型，提出在新息差中將測(cè)量壞數(shù)據(jù)與負(fù)荷突變分離，先辨識(shí)測(cè)量壞數(shù)據(jù)后辨識(shí)負(fù)荷突變的分類辨識(shí)方法。33母線測(cè)試系統(tǒng)算例表明，所提出的方法能準(zhǔn)確辨識(shí)接入分布式電源后節(jié)點(diǎn)注入測(cè)量壞數(shù)據(jù)與負(fù)荷突變交疊、多相關(guān)測(cè)量壞數(shù)據(jù)與負(fù)荷突變交疊的情況。 配電網(wǎng)正由傳統(tǒng)的嚴(yán)格輻射狀向弱環(huán)狀發(fā)展，弱環(huán)聯(lián)絡(luò)開(kāi)關(guān)狀態(tài)的改變引起拓?fù)浣Y(jié)構(gòu)的變化，針對(duì)含分布式電源配電系統(tǒng)中弱環(huán)合環(huán)但未報(bào)告的拓?fù)溴e(cuò)誤，在解環(huán)模型下通過(guò)新息圖理論將弱環(huán)的辨識(shí)轉(zhuǎn)化為弱環(huán)合環(huán)潮流等效節(jié)點(diǎn)注入位置的辨識(shí)；單電源輻射狀配電網(wǎng)結(jié)構(gòu)最簡(jiǎn)單但不利于提高供電可靠性，廣泛存在的是由常分聯(lián)絡(luò)開(kāi)關(guān)連接的多電源環(huán)網(wǎng)，在這類結(jié)構(gòu)的配電網(wǎng)中因線路故障或者檢修經(jīng)常進(jìn)行負(fù)荷轉(zhuǎn)移，改變了拓?fù)浣Y(jié)構(gòu)，通過(guò)新息圖理論辨識(shí)轉(zhuǎn)移負(fù)荷的方向以及負(fù)荷的大小，來(lái)辨識(shí)負(fù)荷轉(zhuǎn)移引起的拓?fù)溴e(cuò)誤。通過(guò)33母線測(cè)試系統(tǒng)驗(yàn)證了所提出辨識(shí)拓?fù)溴e(cuò)誤方法的有效性。 本文研究工作依托于國(guó)家高技術(shù)研究發(fā)展計(jì)劃（863計(jì)劃）重大項(xiàng)目《高滲透率間歇性能源的區(qū)域電網(wǎng)關(guān)鍵技術(shù)研究和示范》（2011AA05A105）以及國(guó)家自然科學(xué)基金項(xiàng)目《電網(wǎng)參數(shù)分檢式估計(jì)方法研究》（50977017）。
[Abstract]:Distribution network state estimation is an important means to obtain accurate real-time state information of distribution system and is the basis of distribution network operation control. In this paper, based on the theory of innovation graph, the innovation graph model of distributed power distribution network is established, and a series of abnormal events are identified. After accessing the fluctuating distributed power supply, the abnormal events of node injection occur frequently, and the near root branch of the radial distribution network is affected by the accumulation of innovation error, which leads to the misjudgment or annihilation of the abnormal events. By analyzing the causes of the error formation, the computational innovation vector considering the network loss and the output power of the distributed power source is proposed. The node injection measurement and node injection prediction at the current time are used to calculate the branch power flow, respectively. The calculated innovation vector is formed by the difference of the two currents, and the new information vector is calculated instead of the original connected support. At the same time, the distributed power supply is simplified and the innovation graph model of the distribution network with distributed power is established. The errors of the two models are compared by Monte Carlo simulation. The results show that the computational innovation vector can greatly reduce the error of innovation in the calculation of innovation graph. The accuracy of the innovation graph in identifying abnormal events in distribution network is improved. Different from the modeling of innovation graph of transmission network, nodal injection measurement must be used in the calculation of innovation graph of distribution network, and the bad data with big error of node injection measurement and the sudden change of load with large prediction error will occur in the same position. After the intermittent and fluctuating distributed generation is connected in the distribution network, the influence of the overlap of the two kinds of errors is further aggravated. Aiming at the two kinds of problems such as node injection measurement bad data and load mutation overlap, multi-correlation measurement bad data and load sudden change overlap, this paper based on the innovation graph model of distribution network with distributed generation. In this paper, a new method of classification and identification of bad data and load mutation is proposed, which separates the bad data from the load mutation in the new interest rate difference. The example of the busbar test system .33 shows that the method can be used to detect the bad data and then identify the load mutation. The proposed method can accurately identify the overlap of node injection measurement bad data and load mutation after access to distributed power supply, and the overlap of multi-correlation measurement bad data and load abrupt change. The distribution network is developing from the traditional strict radiation to the weak ring. The change of the state of the weak ring connection leads to the change of the topology structure. The topology error of the weak ring closed ring in the distributed power distribution system is not reported. Based on the theory of innovation graph, the weak ring identification is transformed into the identification of the equivalent node injection position of the weak loop, the single source radial distribution network has the simplest structure but is not conducive to improving the reliability of power supply. What exists widely is the multi-power loop network connected by the constant branch contact switch. In the distribution network of this kind of structure, the load transfer is often carried out because of the line fault or maintenance, which changes the topological structure. The topological errors caused by load transfer are identified by using innovation graph theory to identify the direction and magnitude of load transfer. The validity of the proposed method is verified by 33 busbar test system. The research work in this paper is based on the national high technology research and development plan "the national high-tech research and development plan") the major project "regional power grid key technology research and demonstration of high permeability intermittent energy" (2011AA05A105) and the national natural science foundation project < grid parameters A study on the estimation method of the Partition of Inspection.
【學(xué)位授予單位】：哈爾濱工業(yè)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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