本文選題：光伏發(fā)電 + 中央監(jiān)控　； 參考：《華北電力大學(xué)》2014年碩士論文

【摘要】：近年來，可再生能源的開發(fā)利用已成為國民經(jīng)濟(jì)可持續(xù)發(fā)展的重要組成部分，太陽能光伏產(chǎn)業(yè)發(fā)展迅速。光伏電站裝機(jī)容量的不斷增加，如何更好地對并網(wǎng)光伏電站內(nèi)的設(shè)備進(jìn)行實(shí)時(shí)監(jiān)控、運(yùn)行和維護(hù)，確保光伏電站的安全穩(wěn)定運(yùn)行成為了研究的熱點(diǎn)。另外，大規(guī)模光伏發(fā)電集中并網(wǎng)對電網(wǎng)運(yùn)行會產(chǎn)生影響，為了保證電力系統(tǒng)穩(wěn)定性，電網(wǎng)調(diào)度部門會向光伏電站下發(fā)調(diào)度指令，光伏電站需響應(yīng)調(diào)度指令實(shí)現(xiàn)整個光伏電站的有功優(yōu)化分配和調(diào)節(jié)。 本文設(shè)計(jì)并開發(fā)了一套兼容性能和擴(kuò)展性能良好的并網(wǎng)光伏電站中央監(jiān)控和能量管理系統(tǒng)，，實(shí)現(xiàn)了對光伏電站內(nèi)部所有設(shè)備的統(tǒng)一運(yùn)行監(jiān)控；對光伏電站內(nèi)的運(yùn)行數(shù)據(jù)進(jìn)行了集中管理；為光伏電站發(fā)電功率預(yù)測等高級應(yīng)用系統(tǒng)提供了可靠的數(shù)據(jù)接口；并可以自動接收調(diào)度中心主站下發(fā)的有功功率控制指令，自動控制各個并網(wǎng)逆變器，使光伏電站在滿足調(diào)度要求的基礎(chǔ)上安全穩(wěn)定運(yùn)行。 光伏電站輸出功率預(yù)測可以為光伏電站的有功功率控制提供數(shù)據(jù)支持。本文對影響光伏陣列發(fā)電功率的氣象因子進(jìn)行了通徑分析，得到了各個氣象因子對光伏發(fā)電功率的影響權(quán)重，自定義了相似度統(tǒng)計(jì)量。通過將歷史日樣本分類和預(yù)測日相似日的選取，以光伏電站內(nèi)的逆變器為基本預(yù)測單元，基于BP神經(jīng)網(wǎng)絡(luò)建立預(yù)測模型，對光伏電站內(nèi)各個并網(wǎng)逆變器的輸出功率進(jìn)行短期預(yù)測。以并網(wǎng)逆變器輸出功率短期預(yù)測的結(jié)果為基礎(chǔ)，研究了光伏電站有功功率控制策略，并驗(yàn)證了控制策略的有效性和可行性。
[Abstract]:In recent years, the development and utilization of renewable energy has become an important part of the sustainable development of the national economy, and the solar photovoltaic industry has developed rapidly. With the increasing of the installed capacity of photovoltaic power station, how to monitor, operate and maintain the equipment in grid-connected photovoltaic power station in real time and ensure the safe and stable operation of photovoltaic power station has become a hot research topic. In addition, the centralized grid connection of large-scale photovoltaic power generation will have an impact on the operation of the power network. In order to ensure the stability of the power system, the power grid dispatching department will issue dispatching orders to the photovoltaic power station. Photovoltaic power plants need to respond to dispatching instructions to achieve optimal allocation and regulation of active power in the whole photovoltaic power plant. This paper designs and develops a central monitoring and energy management system for grid-connected photovoltaic power plants with good compatibility and expansibility. It provides a reliable data interface for advanced application systems such as photovoltaic power generation power prediction, and can automatically receive active power control instructions from the main station of the dispatching center. Each grid-connected inverter is automatically controlled to make the photovoltaic power station run safely and stably on the basis of meeting the dispatching requirements. The output power prediction of photovoltaic power station can provide data support for active power control of photovoltaic power station. In this paper, the path analysis of meteorological factors affecting photovoltaic array power generation is carried out, and the influence weights of each meteorological factor on photovoltaic power generation power are obtained, and the similarity statistics are defined. By classifying the samples of historical days and selecting the similar days of forecasting days, taking the inverter in photovoltaic power station as the basic prediction unit, the prediction model is established based on BP neural network. The output power of each grid-connected inverter in photovoltaic power station is predicted in short term. Based on the short-term prediction of the output power of grid-connected inverter, the active power control strategy of photovoltaic power plant is studied, and the effectiveness and feasibility of the control strategy are verified.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TM615

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本文編號：1786975