綜合預負荷 的英文怎麼說
中文拼音 [zōnggěyùfùhé]
綜合預負荷
英文
combined preload- 綜 : 綜名詞[紡織] (織布機上使 經線交錯著上下分開以便梭子通過的裝置; 綜片) heddle; heald
- 合 : 合量詞(容量單位) ge, a unit of dry measure for grain (=1 decilitre)
- 預 : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
- 負 : Ⅰ名詞1 (負擔) burden; load 2 (虧損) loss 3 (失敗) defeat Ⅱ動詞1 [書面語] (背) carry on th...
- 荷 : 荷名詞(蓮) lotus
- 綜合 : 1 (歸在一起; 聯合成一個統一的整體) synthesize 2 (不同種類、不同性質的事物組合在一起) syntheti...
- 負荷 : [電學] load; charge; weight
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This paper analyzes the character of the transformer load and presents the control means to reduce the comprehensive power loss to minimum by controlling the transformer operation status, which forecasts the daily load of transformer by periodical auto - regression model ( par ) and divides the daily flow line automatically into two typical phases. then, this paper simulates the par by matlab. at last, a real intelligent control device based on the ti ’ s tms320lf2407 dsp has been completed
論文分析了配電變壓器的負載特點;提出採用周期自回歸模型預測配電站用電日負荷,根據負荷預測結果和用電時段,以綜合功率損耗最小為目的變壓器經濟運行控制方法;以ti公司的tms320lf2407dsp為基礎,完成了配電站變壓器經濟運行智能監控裝置的研製。It gets a good forecasting result in lab simulation, and will be used in hunan power bureau, it has good performance and convenient interface
通過實驗室模擬,該綜合模型達到了令人滿意的預測效果,該預測軟體將用於湖南省電力局進行湖南省電力負荷的中長期預測,其操作方便、實用性強。For short - time natural gas load forecasting. based on analyzing tech situation at home and abroad, considering all kinds of factors which will have influence on load changes, a hybrid approach combined the self - organizing feature map ( sofm ) neural network with multilayer perceptron ( mlp ) is presented, and short - time load forecasting model is established
針對大然氣短期負荷預測的問題,在分析了國內外技術現狀的基礎上,綜合考慮影響負荷變化的各種因素,提出了基於白織織競爭網路和多層感知機網路棍合的大然氣短期負荷預測方法。To expedite the exploitation of hydroelectric resources of huanghe upstream meets the request of western development, and is significant to the strategically overall arrangement of realizing the optimization deployment of resource and transporting clean energy to the east but, for a long time, in the electric market, the supply - and - demand analysis and the science - oriented, reliable forecast of electric network load is absent. in the developing gradation, the support of theory about hydroelectric plants " developing gradation is absent. in the pattern of management and development, a theoretical system of developing, management is absent, such as the relation of the synthetically utilization of hydroelectric development and water resource and environment should be brought into the unified planning and managing system of the valley
但是長期以來,在電力市場方面,缺乏科學、可靠的電網負荷需求預測及市場供需分析;在開發順序方面,缺乏水電站開發順序理論方法依據的支持,影響了開發的層次和速度;在開發管理模式方面,缺乏一套行之有效的開發、經營及管理的理論體系,比如水電開發與水資源綜合利用及與生態環境的關系等,都應納入流域統一規劃、統一管理的水電開發利用管理體系中。We propose a combined slf method to extrapolate feeder load growth by using feeder ' s history peak value and the merits of gray theory and genetic programming ( gp ). at first, we adopt load transfer coupling method to correct load history and its error for load transfer. secondly, we get the real power - supply area by using layer overlap analysis, based on practical feeder path and distribution gis map layer
將gis的空間信息分析功能應用於配網空間負荷預測的研究:綜合利用灰色理論及遺傳規劃( geneticprogramming , gp )的優點,提出了一種根據饋線的歷史峰值負荷進行外推的組合slf法:首先採用負荷耦合回歸法來修正負荷歷史,消除由於負荷轉移引起的誤差;然後根據實際饋線路徑和配網gis圖形分層,運用圖層疊加分析得到饋線的實際供電范圍;接著採用灰色關聯度聚類方法對饋線負荷增長曲線進行聚類分析;最後採用gp來對灰色聚類結果進行符號回歸,分別得到每一類曲線的最佳擬合曲線形式。Chapter 3 mainly presents the establishment of a hybrid model of stlf
第3章主要介紹了短期負荷預測綜合模型的建立過程。This paper mainly discusses a control method of substation voltage and reactive power. in order to get suitable decision for one day 24 hours tap - transformer ' s step switch and shunt capacitor switch, an approach of substation voltage and reactive power control on the basis of the combination of artificial neural network ( ann ) reactive power forecasting and evolutionary programming optimal decision - making is put forward
論文主要研究變電站的電壓/無功控制決策問題,為了確定一天24小時內合適的有載調壓變壓器分接頭位置和並聯電容器投切狀態,提出一種基於人工神經網路的無功負荷預測和進化規劃優化決策相結合的變電站電壓和無功的綜合控制決策。The distribution gis data management methods and its application in distribution running are systematically researched, which compose distribution gis network topology analysis ( nta ) and optimal rush - maintain path ( orp ), and distribution planning, which composes distribution spatial load forecasting ( slf ) : ( 1 ) with systematic analysis on the relationship between spatial data model and spatial data structure, the distribution feature and the two common gis data models are analyzed, which are vector and raster data models. then the conceptual and logic data models of distribution gis are designed. the spatial data storage structure is given by using vector method, and their detailed data management methods are proposed
( 4 )將gis的空間信息分析功能應用於配網空間負荷預測( saptialloadforecasting , slf )的研究:綜合利用灰色理論及遺傳規劃的優點,提出了一種根據饋線的歷史峰值負荷進行外推的組合slf法:首先採用負荷轉移耦合法來修正負荷歷史,消除由於負荷轉移引起的誤差;然後根據實際饋線路徑和配網gis圖形分層,運用圖層疊加分析得到饋線的實際供電范圍;接著採用灰色關聯度聚類方法對饋線負荷增長曲線進行聚類分析;最後採用遺傳規劃來對灰色聚類結果進行符號回歸,分別得到每一類曲線的最佳擬合曲線形式。Firstly, aiming at solving the difficult problem in scheduling control of the heating load in a practical district heating system, a strategy is proposed which can realize the real balance between the quantity of heat needed for the resident and the quantity of heat provided by heating plant
首先,針對目前供熱系統熱源負荷控制中的難點問題,提出了通過綜合分析系統運行數據,間接提煉出供熱系統熱負荷需求模式,並通過動態預測補償的方法以實現真正意義上的按需供熱。The paper attempt to applied sequential cluster method to set up the classification standard, then it regards the correlation coefficients of record values as weights and predicts the future loads by using markov chain model with weights. this method make the best of the information comprised in load series and solved the problem of obtaining weather information. not only the concrete value of the monthly sales electric energy but its range in the future is gained
實際上,各月份的氣象、經濟因素之間具有一定的相關性,這些相關信息已經包含在負荷序列中,本文嘗試將馬爾可夫鏈理論應用於負荷預測之中,應用聚類分析的方法確定分級標準,將負荷分為不同的狀態,根據狀態之間的轉移概率來推測未來負荷的發展變化,並將觀測值之間的相關系數作為權值進行綜合預測,更加合理地利用了負荷序列中包含的信息,不僅可以預測出未來負荷的具體值,而且得到了其所屬的區間,具有一定的實用價值。A model for short term and super short term forecasting integrating neural network, expert system and dynamic clustering is introduced here, which involves weather, festival and other load forecasting affecting factors
介紹了一種整合神經網路、專家系統和動態聚類多種智能方法為一體的短期/超短期預測模型,綜合考慮了氣象、節假日等負荷影響因素。The paper introduces the forecasting theory and its application. at first, the importance of load forecasting and its development actuality are given briefly ; then the load forecasting theory is discussed systematically ; combined with the reality of power system, methods of medium and long term load forecasting are presented in detail, all these methods are analysed and compared through simulation experiments and a new integrated method is presented based on these methods ; at last, the realization of the software is discussed including its structure, functions and key techniques
首先簡要介紹了電力系統負荷預測的意義、國內外發展現況和展望;然後系統地闡述了預測理論和各種預測方法;接著結合電力負荷預測的具體情況,較為深入地分析了預測理論用於電力系統中長期負荷預測時的具體實現方法,並對各種預測方法進行了模擬實驗,分析比較各種方法的預測結果后,提出了一個綜合模型;最後,著重對負荷預測軟體的實現進行了詳盡的論述,包括軟體開發平臺的確定、軟體結構的設計、功能的實現以及用到的關鍵技術和開發過程中碰到的一些問題與解決方法。Chapter 5 introduces the application and forecasting effect of the hybrid stlf model in actuality
第5章介紹了短期負荷預綜合測模型在實際中的應用及預測效果。The paper analyzes factors that affect power system load, compares contemporary prognostication techniques, bases on the features of power system load forecast, combines different prognostication methods, efficiently raises the prognostication precision
本文分析了電力系統負荷變化的各種因素,對目前流行的預測技術進行了綜合比較,結合電力系統負荷預測的特點,選擇組合預測方法,有效地提高了預測精度。And emphasizes on the introduction of the choosing strategy of neural network structure, the method of smoothing and generalizing load data and the studying and forecasting process of the stlf model which adopts the revised bp algorithm
重點介紹了神經網路結構的選定策略,對歷史負荷數據平滑、歸一化處理的方法和採用改進bp演算法的綜合模型在短期負荷預測中的學習和預測過程。分享友人