TWI637332B - Power generation prediction system and method for solar power plant - Google Patents

Power generation prediction system and method for solar power plant Download PDF

Info

Publication number
TWI637332B
TWI637332B TW105140058A TW105140058A TWI637332B TW I637332 B TWI637332 B TW I637332B TW 105140058 A TW105140058 A TW 105140058A TW 105140058 A TW105140058 A TW 105140058A TW I637332 B TWI637332 B TW I637332B
Authority
TW
Taiwan
Prior art keywords
power generation
power plant
power
time interval
plant
Prior art date
Application number
TW105140058A
Other languages
Chinese (zh)
Other versions
TW201822079A (en
Inventor
陳坤宏
Original Assignee
春禾科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 春禾科技有限公司 filed Critical 春禾科技有限公司
Priority to TW105140058A priority Critical patent/TWI637332B/en
Publication of TW201822079A publication Critical patent/TW201822079A/en
Application granted granted Critical
Publication of TWI637332B publication Critical patent/TWI637332B/en

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

一種太陽能電廠的發電預測系統與方法,其包含步驟:以一第一電廠為中心,查看周圍第二電廠的發電量;當第二電廠在第一時間區間的發電量下降,尋找是否有一第三電廠發生發電量下降;當第三電廠在第二時間區間的發電量下降,根據第二電廠與第三電廠的發電量計算發電量下降損失比例;確認第二電廠與第三電廠受到雲層的影響;計算雲層的移動速度;根據雲層的移動速度,推算雲層移動至第一電廠的時間;根據該發電量下降損失比例與第一電廠歷史時間的發電量,推算該第一電廠可能的發電量。A power generation prediction system and method for a solar power plant, comprising the steps of: looking at a power generation of a second power plant around a first power plant; when the power generation of the second power plant decreases in the first time interval, looking for a third The power generation of the power plant decreases; when the power generation of the third power plant decreases in the second time interval, the power generation loss ratio is calculated according to the power generation of the second power plant and the third power plant; and the second power plant and the third power plant are affected by the cloud layer. Calculating the moving speed of the cloud layer; estimating the time when the cloud layer moves to the first power plant according to the moving speed of the cloud layer; and calculating the possible power generation amount of the first power plant according to the power loss amount of the power generation amount and the power generation amount of the first power plant historical time.

Description

太陽能電廠的發電預測系統與方法Power generation prediction system and method for solar power plant

本創作係有關於一種發電預測系統與方法,特別是有關於一種太陽能電廠的發電預測系統與方法。 This creation is about a power generation prediction system and method, and in particular, a power generation prediction system and method for a solar power plant.

隨著科技進步,能源消耗劇增,化石能源日趨枯竭,因此尋找替代能源為刻不容緩的事。太陽能具備取之不盡和清潔無汙染的特性,太陽能發電具有結構簡單、體積小、重量輕,容易安裝、運輸方便、建設容易、維護方便、清潔以及安全等優點,因此太陽能成為再生能源開發利用的主要選項之一。 With the advancement of science and technology, energy consumption has increased dramatically, and fossil energy has become increasingly exhausted. Therefore, finding alternative energy sources is an urgent task. Solar energy has inexhaustible and clean and pollution-free characteristics. Solar power has the advantages of simple structure, small size, light weight, easy installation, convenient transportation, easy construction, convenient maintenance, cleanliness and safety. Therefore, solar energy has become a renewable energy development and utilization. One of the main options.

太陽能發電具有發電不穩的缺點,因此,若能對太陽能電廠的輸出功率進行預測,有助於電力系統調度的統籌安排,有利於常規能源和太陽能發電能源的相互協調,電力公司可即時調整與調度,合理安排電網運行方式,可以有效降低太陽能併入電網時對原有電網的影響,提高電網運行的安全性和穩定性,也可以減少電力系統的備用和運行成本,以充分利用太陽能資源,獲得更大的效益。 Solar power generation has the disadvantage of unstable power generation. Therefore, if the output power of solar power plants can be predicted, it will help the overall arrangement of power system dispatch, which is conducive to the coordination of conventional energy and solar power generation. The power company can adjust and adjust instantly. Scheduling and rationally arranging the grid operation mode can effectively reduce the impact of solar energy on the original grid when it is integrated into the grid, improve the safety and stability of the grid operation, and reduce the standby and operating costs of the power system to fully utilize solar energy resources. Get more benefits.

太陽能發電系統的輸出功率會受到太陽輻射、天氣因素以及太陽能板本身材料的因素影響,其發電量和輸出電功率隨機性強,波動大,不可控制。在天氣突變、雲層團迅速變化及移動時,發電受其影響的狀況特別明顯,太陽能電力在併入電網後會對電網原有的電能品質和安全帶來影響。因此,必需對天空的雲層團動態變化進行即時監測。目前用於天空雲層監測可使用全天空成像儀等的設備,全天空成像儀能夠對當地可視範圍內360度的全天 空進行即時資料採集和分析,其較常用於天文觀測、氣象預報或攝像等用途上。近年來也有研究單位利用該類設備進行天空雲層的動態特性分析,以進行太陽能發電的功率預測。全天空成像儀主要是由一反射鏡所組成,將360度範圍內天空成像在反射鏡表面,然後使用具備感光耦合元件(CCD)的鏡頭進行拍攝,獲取影像資料後,利用影像軟體對獲取的半球形照片或視頻進行展開和相應的目標識別與定位處理。 The output power of the solar power system will be affected by solar radiation, weather factors and the material of the solar panel itself. The power generation and output power are random, fluctuating and uncontrollable. When the weather is abrupt, the cloud clusters are rapidly changing and moving, the situation in which power generation is affected is particularly obvious. When solar power is integrated into the grid, it will affect the original power quality and safety of the grid. Therefore, it is necessary to monitor the dynamic changes of the cloud clusters in the sky. Currently used for sky cloud monitoring, it can use equipment such as full sky imager, and the full sky imager can 360 degrees all day in the local visible range. It is used for real-time data collection and analysis, and it is often used for astronomical observation, weather forecasting or videography. In recent years, research units have used this type of equipment to analyze the dynamic characteristics of sky clouds to predict the power of solar power generation. The all-sky imager is mainly composed of a mirror, which images the sky within a 360-degree range on the surface of the mirror, and then uses a lens with a photosensitive coupling element (CCD) to capture the image data, and then acquires the image using the image software. Hemispherical photos or videos are expanded and corresponding target recognition and positioning processes are performed.

全天空成像儀雖然能夠對較大範圍視角內的天空雲層圖像進行採集和後續處理,但是所取得之圖像中都存在形狀和位置畸變,即使能夠採用影像軟體對畸變的物像進行一定程度的回復,但是其與實際物體的特徵依然存在較大的差異,並且物像精度和準確度較低,距離成像中心越遠,影像變形的問題越嚴重。 Although the full sky imager can collect and process the sky cloud image in a wide range of angles of view, the shape and position distortion are present in the acquired image, even if the image software can be used to image the distortion image to a certain extent. The reply, but there is still a big difference between the characteristics of the actual object and the object image accuracy and accuracy, the farther away from the imaging center, the more serious the problem of image deformation.

因此,需要提出一種太陽能電廠的發電預測方法可以針對雲層之移動路徑進行預測,以及對太陽能電廠的影響程度進行有效的評估。 Therefore, it is necessary to propose a solar power plant power generation prediction method that can predict the moving path of the cloud layer and effectively evaluate the degree of influence of the solar power plant.

本創作的目的在創作一種太陽能電廠的發電預測方法,透過該發電預測方法預測太陽能電廠是否會受到雲層的影響,並推算發電受其影響的幅度,進一步作太陽能電廠之發電量預測。 The purpose of this creation is to create a power generation prediction method for a solar power plant. It is predicted by the power generation prediction method whether the solar power plant will be affected by the cloud layer, and the magnitude of the power generation affected by it is estimated, and the power generation capacity of the solar power plant is further predicted.

根據上述之目的,提出一種太陽能電廠的發電預測方法,包含下列步驟:以一第一電廠為中心,查看該第一電廠周圍複數個電廠中是否有一第二電廠在一第一時間區間發生一發電量下降;當該第二電廠在該第一時間區間的該發電量下降,以該第二電廠與該第一電廠所在位置連成一假想直線,尋找在該假想直線的一區域範圍內是否存在一 第三電廠,且該第三電廠在一第二時間區間有發生該發電量下降,其中該第二時間區間早於該第一時間區間;計算該第二電廠在該第一時間區間的一發電量下降損失比例及該第三電廠在該第二時間區間的該發電量下降損失比例;根據該第二電廠與該第三電廠之間的相對距離、該第一時間區間與該第二時間區間之間的時間差,計算一雲層由第三電廠移動至第二電廠的移動速度;根據該雲層的該移動速度,推算該雲層移動至該第一電廠的一第三時間區間,其中該第三時間區間為一未來時間區間,且該第三時間區間晚於該第一時間區間與該第二時間區間;根據該發電量下降損失比例與該第一電廠的一參考發電量,推算該第一電廠在該第三時間區間的發電量。 According to the above object, a power generation prediction method for a solar power plant is proposed, which comprises the steps of: looking at a first power plant to see if a second power plant in the plurality of power plants around the first power plant generates a power generation in a first time interval. The quantity decreases; when the power generation of the second power plant decreases in the first time interval, the second power plant and the first power plant are connected to form an imaginary straight line to find whether there is a region within a region of the imaginary straight line. a third power plant, and the third power plant has a decrease in the power generation amount in a second time interval, wherein the second time interval is earlier than the first time interval; calculating a power generation of the second power plant in the first time interval a ratio of the amount of loss reduction and a ratio of the amount of power generation loss of the third power plant in the second time interval; according to a relative distance between the second power plant and the third power plant, the first time interval and the second time interval Calculating a moving speed of the cloud layer moving from the third power plant to the second power plant according to the time difference; and calculating, according to the moving speed of the cloud layer, the moving of the cloud layer to a third time interval of the first power plant, wherein the third time The interval is a future time interval, and the third time interval is later than the first time interval and the second time interval; and the first power plant is estimated according to the power generation amount falling loss ratio and a reference power generation amount of the first power plant The amount of power generated in the third time interval.

本創作的另一目的在創作一種太陽能電廠的發電預測系統,透過該發電預測系統可以計算預測電廠是否會受到雲層遮蔽的影響導致發電量下降,並進一步預測電廠發電量。 Another purpose of this creation is to create a power generation prediction system for a solar power plant, through which the power generation prediction system can be used to calculate whether the power plant will be affected by cloud cover and cause a decrease in power generation, and further predict the power generation of the power plant.

根據上述的目的,提出一種太陽能電廠的發電預測系統,包含:一發電量下降搜尋裝置,連接一太陽能管理系統,於該太陽能管理系統的一資料庫中,以一第一電廠為中心尋找其周圍的複數個電廠中,是否存在一第二電廠在一第一時間區間發生發電量下降,以及是否存在一第三電廠在一第二時間區間發生發電量下降,其中該第二時間區間早於該第一時間區間,該第一電廠與該第二電廠所在位置連成一假想直線,該第三電廠位於由該假想直線對外擴展的一區域範圍內;一發電量下降計算裝置,連接該發電量下降搜尋裝置,以計算該第二電廠與該第三電廠之一發電量下降損失比例; 一移動速度計算裝置,連接該發電量下降搜尋裝置與該太陽能管理系統,根據該第二電廠與該第三電廠之間的相對距離以及該第一時間區間與該第二時間區間的時間差,計算一雲層的移動速度;一移動時間計算裝置,連接該移動速度計算裝置與該太陽能管理系統,根據該雲層的該移動速度,推算該雲層到達該第一電廠的一第三時間區間,其中該第三時間區間晚於該第二時間區間與該第一時間區間;一發電計算裝置,連接該移動時間計算裝置與該發電量下降計算裝置,根據該第二電廠與該第三電廠之該發電量下降損失比例以及該第一電廠的一參考發電量,推算該第一電廠在該第三時間區間的發電量。 According to the above objective, a power generation prediction system for a solar power plant is provided, comprising: a power generation falling search device, connected to a solar energy management system, and searching for a surrounding area in a database of the solar power management system Among the plurality of power plants, whether there is a second power plant that has a decrease in power generation in a first time interval, and whether there is a third power plant that has a power generation decrease in a second time interval, wherein the second time interval is earlier than the In a first time interval, the first power plant and the second power plant are connected to an imaginary line, and the third power plant is located in a region extending outward from the imaginary line; a power generation falling calculation device is connected to the power generation amount Searching for a device to calculate a ratio of power generation loss of the second power plant to the third power plant; a moving speed calculating device connecting the power generation amount lowering searching device and the solar energy management system, calculating a relative distance between the second power plant and the third power plant, and calculating a time difference between the first time interval and the second time interval a moving speed of a cloud layer; a moving time computing device connecting the moving speed computing device and the solar energy management system, and estimating a third time interval of the cloud layer reaching the first power plant according to the moving speed of the cloud layer, wherein the The third time interval is later than the second time interval and the first time interval; a power generation computing device is connected to the mobile time calculation device and the power generation amount reduction calculation device, according to the power generation amount of the second power plant and the third power plant The ratio of the falling loss and a reference power generation amount of the first power plant calculate the amount of power generated by the first power plant in the third time interval.

本創作的優點在於:可以有效預測第一電廠是否可能受到雲層的干擾導致發電量下降的情況產生,且相較於全天空成像儀以影像來判斷雲層移動與雲層能對電廠造成的影響,本創作的太陽能電廠預測系統與方法沒有影像處理的缺點,且可以計算出可能下降的發電量。 The advantage of this creation is that it can effectively predict whether the first power plant may be affected by cloud interference and cause a decrease in power generation. Compared with the full sky imager, the image is used to judge the influence of cloud movement and cloud layer on the power plant. The proposed solar power plant prediction system and method have no shortcomings of image processing, and can calculate the amount of power generation that may be reduced.

10‧‧‧發電預測系統 10‧‧‧Power Forecasting System

11‧‧‧發電量下降搜尋裝置 11‧‧‧Power generation drop search device

12‧‧‧發電量下降計算裝置 12‧‧‧Power generation reduction calculation device

13‧‧‧移動速度計算裝置 13‧‧‧Mobile speed computing device

14‧‧‧移動時間計算裝置 14‧‧‧Mobile time computing device

15‧‧‧發電量計算裝置 15‧‧‧Power generation calculation device

20‧‧‧太陽能管理系統 20‧‧‧Solar management system

21‧‧‧資料庫 21‧‧‧Database

r1,r2‧‧‧發電量 R1, r2‧‧‧ power generation

t1,t2‧‧‧時間 T1, t2‧‧‧ time

圖1為本創作之太陽能電廠的發電預測系統的方塊圖。 Figure 1 is a block diagram of the power generation prediction system of the solar power plant of the present invention.

圖2A-圖2B為本創作之太陽能電廠分佈的示意圖。 2A-2B are schematic views of the distribution of the solar power plant of the present invention.

圖3為太陽能電廠之晴天的發電量波形圖。 Figure 3 is a waveform diagram of the power generation of a solar power plant on a sunny day.

圖4為太陽能電廠在不同時間與不同季節的發電量波形圖。 Figure 4 is a waveform diagram of the power generation of solar power plants at different times and in different seasons.

圖5為太陽在不同時間與不同季節的運行軌道的示意圖。 Figure 5 is a schematic diagram of the running orbit of the sun at different times and in different seasons.

圖6為本創作之太陽能電廠的發電預測方法的步驟流程圖。 FIG. 6 is a flow chart showing the steps of the power generation prediction method of the solar power plant according to the present invention.

圖7A-7C為本創作之第二電廠、第三電廠與第一電廠的發電量波形圖。 7A-7C are waveform diagrams of power generation of the second power plant, the third power plant, and the first power plant of the present invention.

請參閱圖1,本創作之太陽能電廠的發電預測系統10包含發電量下降搜尋裝置11、發電量下降計算裝置12、移動速度計算裝置13、移動時間計算裝置14與發電計算裝置15。另外,在此需要說明的是,本創作之發電預測系統的太陽能電廠可以是包含1個最大功率點跟蹤(Maximum Power Point Tracking,MPPT)、複數個MPPT、1個逆變器或複數個逆變器,而所預測的太陽能電廠可以是整個太陽能電廠或部分的太陽能電廠,在此並不局限。 Referring to Fig. 1, the power generation prediction system 10 of the solar power plant of the present invention includes a power generation amount lowering search device 11, a power generation amount decrease calculating device 12, a moving speed calculating device 13, a moving time calculating device 14, and a power generating computing device 15. In addition, it should be noted that the solar power plant of the power generation prediction system of the present invention may include one Maximum Power Point Tracking (MPPT), a plurality of MPPTs, one inverter or a plurality of inverters. The solar power plant predicted can be the entire solar power plant or part of the solar power plant, which is not limited here.

發電預測系統10可安裝於一太陽能管理系統20中,或者發電預測系統10可以為一電腦系統並與該太陽能管理系統20連接,在此並不局限。 The power generation prediction system 10 can be installed in a solar energy management system 20, or the power generation prediction system 10 can be a computer system and connected to the solar energy management system 20, which is not limited herein.

太陽能管理系統20為管理太陽能電廠的系統設備,用於收集太陽能電廠的電廠資料、發電資料或元件訊號輸出與輸入資料等,其主要包含一資料庫21,該資料庫21可儲存多個太陽能電廠的電廠資料、發電資料或元件訊號輸出與輸入資料等,太陽能管理系統20為本領域具有通常知識者所熟知,因此在此不再對太陽能管理系統20的結構與功能進行詳細敘述。 The solar energy management system 20 is a system device for managing a solar power plant, and is used for collecting power plant data, power generation data or component signal output and input data of a solar power plant, and mainly includes a database 21, which can store a plurality of solar power plants. The solar energy management system 20 is well known to those of ordinary skill in the art for power plant data, power generation data or component signal output and input data, and therefore the structure and function of the solar energy management system 20 will not be described in detail herein.

發電量下降搜尋裝置11連接該太陽能管理系統20,且在太陽能管理系統20的資料庫21中,藉由比對太陽能電廠在歷史時間的發電量與實際發電量是否下降,例如尋找是否有複數個電廠發生發電量下降的現象,進而判斷電廠的發電量下降是否為雲層影響而造成的。發電量下降搜尋裝置11可以是一軟體,可讀取資料庫21中所有太陽能電廠的發電狀況,根據發電狀況搜尋是否發生發電量下降的情況。 The power generation reduction search device 11 is connected to the solar energy management system 20, and in the database 21 of the solar energy management system 20, by comparing whether the solar power plant's power generation amount and actual power generation amount decrease during the historical time, for example, whether there are a plurality of power plants The phenomenon of a decrease in power generation occurs, and it is determined whether the power generation of the power plant is degraded by the influence of the cloud. The power generation amount lowering search means 11 may be a software that can read the power generation status of all the solar power plants in the data base 21, and search for whether or not the power generation amount drops due to the power generation condition.

舉例來說,以一第一電廠為中心,該第一電廠為需要預測是否受到雲層干擾的目標電廠,發電量下降搜尋裝置11搜尋該第一電廠周圍之複數個電廠中是否存在一第二電廠在一第一時間區間發生發電量下降,並以第一電廠與第二電廠為假想直線,發電量下降搜尋裝置11找尋該假想直線對外擴展所 在的一區域範圍是否有一第三電廠在一第二時間區間發生類似發電量下降的情況。 For example, centering on a first power plant, which is a target power plant that needs to predict whether it is subject to cloud interference, the power generation reduction search device 11 searches for a second power plant among a plurality of power plants around the first power plant. The power generation amount decreases in a first time interval, and the first power plant and the second power plant are assumed to be imaginary straight lines, and the power generation amount falling search device 11 finds the imaginary straight line external expansion station. Whether there is a third power plant in a region where a similar power generation decline occurs in a second time interval.

如圖2A所示,假設第一電廠的所在位置標示為C,從假想直線對外擴展的該區域範圍可以是一扇形區域範圍,該扇形區域範圍以第一電廠的所在位置為扇形的頂點,該扇形區域範圍具有一圓心角,該發電量下降搜尋裝置11判斷在此扇形區域範圍內是否有第二電廠(標示A)及第三電廠(標示H),而該第二電廠與該第三電廠的發電量在一時間區間內發生下降狀況;或者如圖2B所示,從假想直線對外擴展的該區域範圍可由相隔一段距離S之兩條假想平行線L1、L2圍繞而成,介於兩平行線L1、L2之間的中線L3係通過該第一電廠C。 As shown in FIG. 2A, assuming that the location of the first power plant is indicated as C, the range of the area expanded from the imaginary straight line may be a sector-shaped area ranging from the position of the first power plant to the apex of the sector, which The fan-shaped area has a central angle, and the power generation reduction search device 11 determines whether there is a second power plant (marker A) and a third power plant (marker H) within the sector area, and the second power plant and the third power plant The power generation amount decreases in a time interval; or as shown in FIG. 2B, the range of the region extending outward from the imaginary straight line may be surrounded by two imaginary parallel lines L1, L2 separated by a distance S, between two parallel The center line L3 between the lines L1, L2 passes through the first power plant C.

發電量下降搜尋裝置11根據該第一電廠在正常發電量與下降發電量之間的該誤差百分比是否超過一門檻值,或者根據該電廠在該歷史時間區間的該晴天發電量與該下降發電量之間的該誤差百分比是否超出該門檻值而確認該第一電廠發生發電量下降,作為第一電廠之發電量下降的搜尋方法。該正常發電量與該下降發電量的時間可以是前後發電下降量瞬間發電量的差別,而且,在上午與下午設定不同門檻值。也可以根據該電廠同一時期晴天的發電量資料做為參考資料,將同一時間點的實際發電量跟晴天發電量作比對,可以發現某一瞬間或某一段時間區間發電量是否有下降情況產生。太陽能電廠晴天的發電狀況可以透過尋找太陽能電廠在歷史時間的晴天發電量做為參考資料,若沒有找到歷史時間的晴天發電量,可以透過尋找太陽能電廠在歷史時間的前後幾天(不同年份、相同月份與相同日期的前後幾天)的發電量中尋找晴天的發電量。 The power generation amount lowering search device 11 determines whether the percentage of error between the normal power generation amount and the power generation amount of the first power plant exceeds a threshold value, or according to the power generation amount of the power plant in the historical time interval and the power generation amount Whether the percentage of error between the values exceeds the threshold value and confirms that the first power plant has a decrease in power generation amount as a search method for the power generation of the first power plant. The normal power generation amount and the time for the power generation reduction may be the difference between the instantaneous power generation amount of the front and rear power generation reduction amount, and different threshold values are set in the morning and afternoon. It is also possible to use the data of the power generation in the same period of the same period as the reference data, and compare the actual power generation at the same time point with the power generation on the sunny day. It can be found whether the power generation in a certain moment or a certain period of time has decreased. . The solar power plant's power generation on a sunny day can be used as a reference for finding the amount of solar power generated by the solar power plant during the historical time. If the amount of solar power generated in historical time is not found, you can find the solar power plant in the days before and after the historical time (different years, same Look for the amount of power generated on a sunny day in the amount of electricity generated in the month and the days before and after the same date.

舉例來說,發電預測系統10尋找民國105年9月8日之歷史時間的晴天發電量,可在太陽能管理系統20的資料庫21中尋找民國104年或民國104年以前在9月8日或9月8日前後幾天的發電量中是否有晴天發電量。若太陽能電廠 在歷史時間或在歷史時間的前後幾天並無晴天發電量,或者可以藉由太陽能電廠在歷史時間的(不同年份,相同日期前後幾天,在每一天相同時間的資料擷取點,如6:00、6:05、...或18:00等)發電量進行取樣與篩選進而組合成一晴天發電量,再利用內插法進行晴天發電曲線平滑化,如圖3所示。如何應用太陽能電廠管理系統20之資料庫21進行發電量資料的比對與處理為本領域具有軟體設計與資料處理領域之通常知識者所熟知,在此不再贅述。另外,如圖4與圖5所示,一年四季365天中,太陽入射地球角度不斷改變,所屬晴天發電量也不同,因此需分別計算第三、第二、第一電廠不同日期的晴天發電量,才能藉由計算第三、第二電廠的發電損失,預測第一電廠的下個時間點的發電量。 For example, the power generation forecasting system 10 looks for the amount of sunny day power generation during the historical time of September 8, 105 in the Republic of China. It can be found in the database 21 of the solar energy management system 20 in the Republic of China 104 or before the Republic of China 104 years ago on September 8 or Whether there is a sunny day's power generation in the power generation around September 8th. Solar power plant There is no sunny day power generation in the historical time or in the days before and after the historical time, or you can use the solar power plant in historical time (different years, days before and after the same date, data acquisition points at the same time every day, such as 6 : 00, 6:05, ... or 18:00, etc.) The power generation is sampled and screened and combined into a sunny day power generation, and then the interpolation method is used to smooth the sunny power generation curve, as shown in Fig. 3. How to apply the data storage 21 of the solar power plant management system 20 for the comparison and processing of the power generation data is well known to those skilled in the art of software design and data processing, and will not be described herein. In addition, as shown in Fig. 4 and Fig. 5, in the 365 days of the year, the angle of the sun entering the earth is constantly changing, and the amount of power generated by the sunny day is also different. Therefore, it is necessary to separately calculate the sunny days of the third, second, and first power plants on different days. The amount can be used to calculate the power generation loss of the third power plant at the next time point by calculating the power loss of the third and second power plants.

發電量下降計算裝置12連接發電量下降搜尋裝置11,其可計算太陽能電廠之發電量受雲層影響的發電量下降損失比例。舉例來說,該發電量下降損失比例可透過計算正常發電量與下降發電量之間的該誤差百分比的誤差百分比,或者以該電廠同一歷史時期,晴天的發電量資料做為參考資料,將同一時間點的下降發電量跟晴天發電量作比對,計算該瞬間或該一段時間區間的發電損失比例,而計算的下降損失比例代表之太陽能電廠的實際發電損失。 The power generation amount reduction calculation means 12 is connected to the power generation amount reduction search means 11 for calculating the power generation amount reduction loss ratio of the solar power generation power generation amount affected by the cloud layer. For example, the power generation loss reduction ratio can be calculated by calculating the error percentage of the error percentage between the normal power generation amount and the falling power generation amount, or using the power generation data of the same historical period of the power plant as a reference material, and the same The decrease in power generation at the time point is compared with the amount of power generated on a sunny day, and the proportion of power generation loss at the moment or the time interval is calculated, and the calculated drop loss ratio represents the actual power generation loss of the solar power plant.

另外,為了提升本創作太陽能電廠的發電預測系統的預測準確性,可另外找額外的太陽能電廠(例如第四電廠或第五電廠,甚至第六電廠),查看在該第二電廠與該第三電廠所連成之一直線上,使否存在發電量下降的狀況,若發現該第四電廠、該第五電廠或該第六電廠同樣也發生發電量下降的狀況,則更可以確定該雲層沿著該第二電廠與該第三電廠的直線移動,會在第三時間區間影響到第一電廠。 In addition, in order to improve the prediction accuracy of the power generation prediction system of the solar power plant of the present creation, an additional solar power plant (for example, a fourth power plant or a fifth power plant or even a sixth power plant) may be additionally selected to view the second power plant and the third power plant. One of the power plants is connected in a straight line, so that there is a situation in which the power generation is declining. If the fourth power plant, the fifth power plant, or the sixth power plant is also found to have a decrease in power generation, it is more certain that the cloud layer is along The linear movement of the second power plant and the third power plant will affect the first power plant in the third time interval.

為了進一步確認第一電廠會在第三時間區間發生發電量下降的狀況,發電量下降搜尋裝置11找到第一電廠周圍之第二電廠在第一時間區間發生發電量下降時,告知發電量下降計算裝置12,透過發電量下降計算裝置12計 算該第二電廠之發電量下降損失比例,例如發電量的下降斜率或發電量的下降與回升的比例。另外,當該第三電廠在第二時間區間同樣發生類似之發電量下降的情況時,第二時間區間早於第一時間區間,透過發電量下降計算裝置12計算第三電廠的發電量下降損失比例。 In order to further confirm that the first power plant will have a decrease in power generation in the third time interval, the power generation reduction search device 11 finds that the second power plant around the first power plant has a decrease in power generation amount in the first time interval, and informs the power generation amount to decrease. The device 12 is calculated by the power generation amount reduction calculation device 12 Calculate the proportion of the loss of power generation in the second power plant, such as the decreasing slope of the power generation or the ratio of the decrease and recovery of the power generation. In addition, when the third power plant similarly drops the power generation amount in the second time interval, the second time interval is earlier than the first time interval, and the power generation amount reduction calculation device 12 calculates the power generation loss of the third power plant. proportion.

移動速度計算裝置13連接發電量下降搜尋裝置11與太陽能管理系統20,可根據第二電廠與第三電廠之間的距離以及第二電廠與第三電廠分別發生發電量下降的第一時間區間與第二時間區間,計算雲層的移動速度。發電量下降搜尋裝置11找到受到雲層干擾的第二電廠與第三電廠後,將第二電廠與第三電廠的訊息傳遞至移動速度計算裝置13,移動速度計算裝置13從太陽能管理系統20的資料庫21中找到第二電廠與第三電廠的座標,即可根據第二電廠與第三電廠之間的相對距離(如圖2A所示,標示A與標示H之間的距離d)、第一時間區間與第二時間區間的時間差,計算雲層的移動速度。 The moving speed calculating device 13 connects the power generation amount lowering searching device 11 and the solar energy management system 20, and may be based on the distance between the second power plant and the third power plant and the first time interval in which the second power plant and the third power plant respectively reduce the power generation amount. In the second time interval, the moving speed of the cloud layer is calculated. After the power generation reduction search device 11 finds the second power plant and the third power plant that are disturbed by the cloud, the information of the second power plant and the third power plant is transmitted to the moving speed calculation device 13, and the data of the mobile speed calculation device 13 from the solar energy management system 20 The coordinates of the second power plant and the third power plant are found in the library 21, that is, according to the relative distance between the second power plant and the third power plant (as shown in FIG. 2A, the distance d between the mark A and the mark H), first The time difference between the time interval and the second time interval calculates the moving speed of the cloud layer.

移動時間計算裝置14連接移動速度計算裝置13與太陽能管理系統20,可根據雲層的移動速度以及第二電廠與第一電廠之間的相對距離,推算雲層到達第一電廠的第三時間區間,根據雲層的移動速度,並可以從太陽能管理系統20中找到第一電廠與第二電廠的座標位置,已知速度與距離,即可計算出雲層到達第一電廠的第三時間區間。其中,第三時間區間為未來時間區間,第三時間區間晚於第二時間區間與第一時間區間。 The moving time calculating device 14 is connected to the moving speed calculating device 13 and the solar energy management system 20, and can calculate the third time interval of the cloud layer reaching the first power plant according to the moving speed of the cloud layer and the relative distance between the second power plant and the first power plant, according to The moving speed of the cloud layer, and the coordinate position of the first power plant and the second power plant can be found from the solar energy management system 20, and the speed and distance are known to calculate the third time interval in which the cloud layer reaches the first power plant. The third time interval is a future time interval, and the third time interval is later than the second time interval and the first time interval.

發電計算裝置15連接移動時間計算裝置14、發電量下降計算裝置12與太陽能管理系統20,根據第一電廠在歷史時間的晴天發電量乘上第二電廠或第三電廠的發電量下降損失比例,或者第一電廠在歷史時間的晴天發電量乘上第二電廠與第三電廠之發電量下降損失比例的平均值,可預測第一電廠在該第三時間區間受到雲層影響後的發電量,根據該發電量,可以讓電力調度者提早調度其他電力補充,或將過多之電力輸送至其他用電單位。 The power generation calculation device 15 is connected to the movement time calculation device 14, the power generation amount reduction calculation device 12, and the solar energy management system 20, and multiplies the power generation amount of the second power plant or the third power plant by the power generation amount of the first power plant at the historical time, Or the average power generation of the first power plant in historical time multiplied by the average of the ratio of the power generation loss of the second power plant to the third power plant, and the power generation amount of the first power plant after being affected by the cloud layer in the third time interval can be predicted, according to This amount of power generation allows the power dispatcher to schedule other power supplements early, or to transfer excess power to other power units.

請參閱圖6與圖2A-圖2B,在步驟S301中,以一第一電廠為中心(如圖2A-圖2B的C點電廠),查看該第一電廠周圍複數個電廠(如圖2A-圖2B的A、B、D或G點電廠)的發電狀況,是否存在一個發生發電量下降的第二電廠。第一電廠為需要預測發電量的目標電廠,查看第一電廠周圍複數個電廠的發電狀況,當有雲層移動到某個第二電廠的上方時,雲層遮蔽照射至第二電廠的太陽光,導致第二電廠的發電發生下降現象,因此藉由搜尋第一電廠周圍之第二電廠的發電狀況,了解附近的複數個第二電廠中是否有雲層導致發電量下降狀況產生,進而判斷第一電廠是否可能受到相同雲層的影響。該複數個電廠(包含第一電廠、第二電廠與第三電廠)為一太陽能管理系統所管理的電廠,而該複數個電廠的發電狀況都記錄在太陽能管理系統的資料庫中,可從資料庫中尋找複數個電廠的發電狀況,進而找出在該第一電廠周圍發生發電量下降的第二電廠。 Referring to FIG. 6 and FIG. 2A - FIG. 2B, in step S301, a plurality of power plants around the first power plant are viewed centered on a first power plant (as shown in FIG. 2A - FIG. 2B) (see FIG. 2A - At the power generation status of the A, B, D or G point power plant in Fig. 2B, is there a second power plant in which the power generation is reduced? The first power plant is a target power plant that needs to predict the amount of power generated, and the power generation status of a plurality of power plants around the first power plant is viewed. When a cloud layer moves above a second power plant, the cloud layer shields the sunlight that is irradiated to the second power plant, resulting in sunlight. The power generation of the second power plant has declined. Therefore, by searching for the power generation status of the second power plant around the first power plant, it is known whether there are clouds in the nearby second power plants, causing the power generation to drop. May be affected by the same cloud. The plurality of power plants (including the first power plant, the second power plant, and the third power plant) are power plants managed by a solar energy management system, and the power generation status of the plurality of power plants is recorded in a database of the solar energy management system, and the data can be obtained from the data. The warehouse looks for the power generation status of a number of power plants, and then finds a second power plant that has a reduced power generation around the first power plant.

在步驟S302中,當某個第二電廠在第一時間區間發生發電量下降現象,以該第二電廠與該第一電廠為假想直線,尋找是否在該假想直線所在的一區域範圍內存在一第三電廠(如圖2A-圖2B的H點電廠)發生類似之發電量下降的現象。因為只有一個第二電廠發生發電量下降的現象,無法確定該雲層的移動方向是否會影響第一電廠,因此需要尋找在更加遠離第一電廠的地方是否有一第三電廠發生類似之發電量下降的狀況。另外,在此需要說明的是,本領域具有通常知識者可以從第二電廠在第一時間區間的發電量下降程度了解,該發電量下降的現象是太陽能電廠的內部元件故障所引起還是因為外在環境因素所造成的。另外,第三電廠同樣為該太陽能管理系統所管理的電廠,第三電廠與第一電廠之間的距離遠於第二電廠與第一電廠之間的距離,第二時間區間早於第一時間區間。 In step S302, when a second power plant has a power generation decrease phenomenon in a first time interval, the second power plant and the first power plant are imaginary straight lines, and find whether a region exists in a region where the imaginary straight line is located. The third power plant (such as the H-point power plant in Fig. 2A - Fig. 2B) has a similar phenomenon of a decrease in power generation. Because only one second power plant has a decline in power generation, it is impossible to determine whether the direction of movement of the cloud will affect the first power plant. Therefore, it is necessary to find whether there is a similar power generation drop in a third power plant farther away from the first power plant. situation. In addition, it should be noted here that those skilled in the art can understand from the degree of decrease of the power generation amount in the first time interval of the second power plant, and the phenomenon that the power generation amount is decreased is caused by the internal component failure of the solar power plant or because Caused by environmental factors. In addition, the third power plant is also the power plant managed by the solar energy management system, and the distance between the third power plant and the first power plant is farther than the distance between the second power plant and the first power plant, and the second time interval is earlier than the first time. Interval.

在步驟S303中,當該第三電廠在第二時間區間發生發電量下降,根據該第二電廠與該第三電廠的下降發電量分別計算發電量下降損失比例。發電量下降損失比例可透過計算發電量下降之前後發電量(正常發電量與下降發電量)的誤差百分比或下降斜率,或者比照該電廠的歷史晴天發電量而獲得發電量下降區段的實際下降發電量。 In step S303, when the third power plant has a power generation amount decrease in the second time interval, the power generation amount decrease loss ratio is calculated according to the reduced power generation amount of the second power plant and the third power plant, respectively. The proportion of the loss of power generation loss can be calculated by calculating the error percentage or the decreasing slope of the power generation (normal power generation and the reduction power generation) before the power generation decline, or the actual decline of the power generation decline section according to the historical sunny power generation of the power plant. Power generation.

下降斜率的公式為:R=(r1-r2)/(t1-t2)。 The formula for the falling slope is: R = (r1 - r2) / (t1 - t2).

其中,如圖7A所示,r2為一時間區間(第一時間區間或第二時間區間)的最大發電量,t2為最大發電量r2發生的時間點,r1為該時間區間的最小發電量,t1為最小發電量r1發生的時間點。或者,在不同實施例中,也可以透過發電量損失比例來計算第一電廠在該第三時間區間受到雲層影響後的發電量。 Here, as shown in FIG. 7A, r2 is the maximum power generation amount in one time interval (first time interval or second time interval), t2 is the time point at which the maximum power generation amount r2 occurs, and r1 is the minimum power generation amount in the time interval, T1 is the time point at which the minimum power generation amount r1 occurs. Alternatively, in different embodiments, the amount of power generated by the first power plant after being affected by the cloud layer in the third time interval may also be calculated by the power generation loss ratio.

發電量下降損失比例公式為:(r1-r2)/r2。 The formula for reducing the loss of power generation is: (r1-r2)/r2.

並在步驟S304中,當第二電廠與第三電廠均發生發電量下降的情況,判斷該第二電廠與該第三電廠受到相同雲層的影響。當在不同時間區間發生第二電廠與第三電廠發電量下降的情況,判斷該第二電廠與該第三電廠受到相同雲層的影響。圖7A與圖7B顯示為兩個不同電廠受到相同雲層的影響而造成電廠的發電量下降的波形圖,波形B與波形A分別代表第二電廠與第三電廠的發電量,而由圖7B與圖7A的波形圖可以了解第二電廠與第三電廠分別在第一時間區間與第二時間區間發生發電量下降的情況,而且由波形圖可以明顯看出發電量並非是直接下降至零,而是瞬間發電量降低,由此可知第二電廠與第三電廠都是受到雲層影響而造成發電量下降。 And in step S304, when both the second power plant and the third power plant have a decrease in power generation, it is determined that the second power plant and the third power plant are affected by the same cloud layer. When the power generation of the second power plant and the third power plant decreases in different time intervals, it is determined that the second power plant and the third power plant are affected by the same cloud layer. Figure 7A and Figure 7B show waveform diagrams of the power generation of the power plant caused by the influence of the same cloud layer on two different power plants. Waveform B and waveform A represent the power generation of the second power plant and the third power plant, respectively, and Figure 7B and Figure 7B The waveform diagram of Fig. 7A can be used to understand that the second power plant and the third power plant have a decrease in power generation in the first time interval and the second time interval, respectively, and it can be clearly seen from the waveform diagram that the power generation amount does not directly drop to zero, but The instantaneous power generation is reduced, and it can be seen that both the second power plant and the third power plant are affected by the cloud layer, resulting in a decrease in power generation.

在步驟S305中,根據第二電廠與第三電廠之間的相對距離和第一時間區間與第二時間區間的時間差,透過移動速度計算裝置13計算該雲層的移動速度。太陽能電廠的設置並非是依據固定距離設置一太陽能電廠,太陽能 電廠之間的距離皆不相同,需要計算雲層從第三電廠移動至第二電廠的速度,來預測該雲層到達第一電廠的第三時間區間。 In step S305, the moving speed of the cloud layer is calculated by the moving speed calculating means 13 based on the relative distance between the second power plant and the third power plant and the time difference between the first time interval and the second time interval. The setting of the solar power plant is not based on a fixed distance to set up a solar power plant, solar energy The distance between the power plants is different. It is necessary to calculate the speed at which the cloud layer moves from the third power plant to the second power plant to predict the third time interval in which the cloud layer reaches the first power plant.

在步驟S306中,根據該雲層的該移動速度,透過移動時間計算裝置14推算該雲層移動至該第一電廠的一第三時間區間。獲得該雲層的移動速度後,第一電廠與第二電廠之間的距離也為已知,因此可以推算出雲層到達第一電廠的第三時間區間為何,進而可以預測第一電廠在第三時間區間會受到該雲層的影響,發電量發生下降的機率很高。 In step S306, according to the moving speed of the cloud layer, the moving time calculation means 14 estimates that the cloud layer moves to a third time interval of the first power plant. After obtaining the moving speed of the cloud layer, the distance between the first power plant and the second power plant is also known, so it is possible to calculate the third time interval of the cloud layer reaching the first power plant, and then predict the first power plant in the third time. The interval will be affected by the cloud layer, and the probability of a decrease in power generation is high.

在步驟S307中,根據該發電量下降損失比例與該第一電廠的一參考發電量,推算該第一電廠在該第三時間區間的發電量,如圖7C所示。第一電廠在該歷史時間並無受到任何雲層干擾,換句話說,第一電廠在該歷史時間的發電量為晴天的發電量,透過第一電廠在歷史時間的晴天的發電量或第一電廠受到雲層影響發電損失之前的已知發電量以及發電量下降損失比例,可以推算出第一電廠在第三時間區間因雲層的干擾而導致發電量下降損失比例(或發電損失)的產生。因此,根據所推算出第一電廠在第三時間區間的可能發電量,電力公司可以提早因應電廠發電量下降的情況,有效分配電力,避免電力不足的情況產生。 In step S307, based on the power generation amount drop loss ratio and a reference power generation amount of the first power plant, the power generation amount of the first power plant in the third time interval is estimated, as shown in FIG. 7C. The first power plant was not disturbed by any cloud layer during this historical period. In other words, the first power plant generated electricity in the historical time was the amount of power generated on a sunny day, through the first power plant on the sunny day of historical time or the first power plant. The known power generation amount and the power generation loss reduction ratio before the power generation loss due to the cloud layer can be used to estimate the proportion of the power generation loss reduction (or power generation loss) caused by the interference of the cloud layer in the third time interval. Therefore, according to the estimated possible power generation of the first power plant in the third time interval, the power company can effectively allocate power in response to the decline of the power generation of the power plant, and avoid the shortage of power.

另外,在此需要說明的是,雲層有可能任意地往任何方向移動,但因為太陽能發電不穩定,本創作的發電預測方法與系統仍具有參考價值,以防範發電量下降而導致電力公司發電不穩的情況產生。 In addition, it should be noted that the cloud layer may move arbitrarily in any direction, but because of the unstable solar power generation, the power generation prediction method and system of the present invention still have reference value to prevent the power generation from generating electricity. A steady situation arises.

Claims (8)

一種太陽能電廠的發電預測方法,包含步驟:以一第一電廠為中心,查看該第一電廠周圍複數個電廠中是否有一第二電廠在一第一時間區間發生一發電量下降;當該第二電廠在該第一時間區間的該發電量下降,以該第二電廠與該第一電廠所在位置連成一假想直線,尋找在該假想直線的一區域範圍內是否存在一第三電廠,且該第三電廠在一第二時間區間有發生該發電量下降,其中該第二時間區間早於該第一時間區間;計算該第二電廠在該第一時間區間的一發電量下降損失比例及該第三電廠在該第二時間區間的該發電量下降損失比例;根據該第二電廠與該第三電廠之間的相對距離、該第一時間區間與該第二時間區間之間的時間差,計算一雲層由第三電廠移動至第二電廠的移動速度;根據該雲層的該移動速度,推算該雲層移動至該第一電廠的一第三時間區間,其中該第三時間區間為一未來時間區間,且該第三時間區間晚於該第一時間區間與該第二時間區間;根據該發電量下降損失比例與該第一電廠的一參考發電量,推算該第一電廠在該第三時間區間的發電量;其中該第二電廠與該第三電廠之該發電量下降損失比例為計算一正常發電量與一下降發電量之間的一誤差百分比,或參考該第二電廠與該第三電廠在同一歷史時間的一晴天發電量,將發生該發電量下降之同一時間點的該下降發電量與該晴天發電量作比對而獲得該發電量下降損失比例;更包含根據該第一電廠在該正常發電量與該下降發電量之間的該發電量下降損失比例是否超過一門檻值,或者根據該電廠在該歷史時間區間的該晴天發 電量與該下降發電量之間的該發電量下降損失比例是否超出該門檻值而確認該第一電廠發生該發電量下降。 A method for predicting power generation of a solar power plant includes the steps of: looking at a first power plant to see if a second power plant in the plurality of power plants around the first power plant has a power generation drop in a first time interval; The power generation of the power plant decreases in the first time interval, and the second power plant and the first power plant are connected to form an imaginary line to find whether a third power plant exists in a region of the imaginary straight line, and the The third power plant has a decrease in the power generation amount in a second time interval, wherein the second time interval is earlier than the first time interval; calculating a power generation loss loss ratio of the second power plant in the first time interval and the first The ratio of the power generation loss of the third power plant in the second time interval; calculating a first time according to the relative distance between the second power plant and the third power plant, and the time difference between the first time interval and the second time interval The moving speed of the cloud layer moving from the third power plant to the second power plant; according to the moving speed of the cloud layer, estimating the third time when the cloud layer moves to the first power plant And wherein the third time interval is a future time interval, and the third time interval is later than the first time interval and the second time interval; and a reference loss generation ratio of the first power plant according to the power generation amount Calculating the amount of power generated by the first power plant in the third time interval; wherein the ratio of the power generation loss of the second power plant to the third power plant is an error between calculating a normal power generation amount and a falling power generation amount Percentage, or referring to the amount of power generated by the second power plant and the third power plant at the same historical time, the power generation amount at the same time point at which the power generation amount decreases is compared with the power generation amount of the sunny day to obtain the power generation The ratio of the amount of loss reduction; further comprising whether the ratio of the power generation loss between the normal power generation amount and the power generation amount exceeds a threshold value according to the first power plant, or according to the sunny day of the power plant in the historical time interval Whether the ratio of the amount of power generation drop loss between the amount of electricity and the amount of power generation exceeds the threshold value confirms that the power generation amount of the first power plant decreases. 如請求項1所述之太陽能電廠的發電預測方法,其中該晴天發電量為取樣與篩選該歷史時間的發電量組合而成,或該晴天發電量為利用一內插法與該歷史時間的發電量而獲得。 The power generation prediction method of the solar power plant according to claim 1, wherein the power generation amount of the sunny day is a combination of sampling and filtering the power generation amount of the historical time, or the power generation amount of the sunny day is power generation by using an interpolation method and the historical time. Obtained by quantity. 如請求項1所述之太陽能電廠的發電預測方法,其中在計算該雲層的移動速度的該步驟中,係根據該第二電廠與該第三電廠的座標以獲得該第二電廠與該第三電廠之間的距離。 The method for predicting power generation of a solar power plant according to claim 1, wherein in the step of calculating a moving speed of the cloud layer, the second power plant and the third are obtained according to coordinates of the second power plant and the third power plant The distance between the power plants. 一種太陽能電廠的發電預測系統,包含:一發電量下降搜尋裝置,連接一太陽能管理系統,於該太陽能管理系統的一資料庫中,以一第一電廠為中心尋找其周圍的複數個電廠中,是否存在一第二電廠在一第一時間區間發生發電量下降,以及是否存在一第三電廠在一第二時間區間發生發電量下降,其中該第二時間區間早於該第一時間區間,該第一電廠與該第二電廠所在位置連成一假想直線,該第三電廠位於由該假想直線對外擴展的一區域範圍內;一發電量下降計算裝置,連接該發電量下降搜尋裝置,以計算該第二電廠與該第三電廠之一發電量下降損失比例;一移動速度計算裝置,連接該發電量下降搜尋裝置與該太陽能管理系統,根據該第二電廠與該第三電廠之間的相對距離以及該第一時間區間與該第二時間區間的時間差,計算一雲層的移動速度;一移動時間計算裝置,連接該移動速度計算裝置與該太陽能管理系統,根據該雲層的該移動速度,推算該雲層到達該第一電廠的一第三時間區間,其中該第三時間區間晚於該第二時間區間與該第一時間區間; 一發電計算裝置,連接該移動時間計算裝置與該發電量下降計算裝置,根據該第二電廠與該第三電廠之該發電量下降損失比例以及該第一電廠的一參考發電量,推算該第一電廠在該第三時間區間的發電量;其中由該發電量下降計算裝置根據該第二電廠與該第三電廠之該發電量下降損失比例為計算一正常發電量與一下降發電量之間的一誤差百分比,或參考該第二電廠與該第三電廠在同一歷史時間的一晴天發電量,將發生該發電量下降之同一時間點的該下降發電量與該晴天發電量作比對而獲得該發電量下降損失比例;由該發電量下降搜尋裝置根據該第一電廠在該正常發電量與該下降發電量之間的該發電量下降損失比例是否超過一門檻值,或者根據該電廠在該歷史時間區間的該晴天發電量與該下降發電量之間的該發電量下降損失比例是否超出該門檻值而確認該第一電廠發生該發電量下降。 A power generation prediction system for a solar power plant, comprising: a power generation falling search device, connected to a solar energy management system, in a database of the solar energy management system, searching for a plurality of power plants around the first power plant Whether there is a second power plant that has a decrease in power generation in a first time interval, and whether there is a third power plant that has a power generation decrease in a second time interval, wherein the second time interval is earlier than the first time interval, The first power plant and the second power plant are connected to an imaginary straight line, and the third power plant is located in a region extending outward from the imaginary straight line; a power generation falling calculation device is connected to the power generation falling search device to calculate the a ratio of power generation loss to loss of the second power plant and the third power plant; a moving speed calculation device connecting the power generation falling search device and the solar energy management system according to a relative distance between the second power plant and the third power plant And a time difference between the first time interval and the second time interval, and calculating a moving speed of the cloud layer; a dynamic time calculating device, connected to the moving speed calculating device and the solar energy management system, estimating a third time interval of the cloud layer reaching the first power plant according to the moving speed of the cloud layer, wherein the third time interval is later than the first time interval a second time interval and the first time interval; a power generation calculation device that connects the movement time calculation device and the power generation amount reduction calculation device, and estimates the first according to the power generation amount drop loss ratio of the second power plant and the third power plant and a reference power generation amount of the first power plant a power generation amount of the power plant in the third time interval; wherein the power generation amount reduction calculating device calculates a normal power generation amount and a decrease power generation amount according to a ratio of the power generation amount drop loss of the second power plant to the third power plant a percentage error, or referring to a sunny day power generation amount of the second power plant and the third power plant at the same historical time, comparing the decreased power generation amount at the same time point of the power generation decrease to the sunny power generation amount Obtaining a ratio of the power generation amount drop loss; determining, by the power generation amount reduction device, whether the ratio of the power generation amount drop loss between the normal power generation amount and the power generation amount of the first power plant exceeds a threshold value, or according to the power plant Whether the ratio of the power generation amount drop between the sunny day power generation amount and the down power generation amount in the historical time interval exceeds the threshold value Recognize the occurrence of the first power plant generating capacity decline. 如請求項4所述之太陽能電廠的發電預測系統,其中該些電廠的發電量係儲存於該太陽能管理系統的一資料庫中。 The power generation prediction system of the solar power plant according to claim 4, wherein the power generation quantities of the power plants are stored in a database of the solar energy management system. 如請求項4所述之太陽能電廠的發電預測系統,其中該太陽能電廠的發電預測系統係為一電腦系統,並與該太陽能管理系統連接。 The power generation prediction system of the solar power plant according to claim 4, wherein the power generation prediction system of the solar power plant is a computer system and is connected to the solar energy management system. 如請求項4所述之太陽能電廠的發電預測系統,其中該太陽能電廠的發電預測系統係安裝於該太陽能管理系統中。 The power generation prediction system of the solar power plant according to claim 4, wherein the power generation prediction system of the solar power plant is installed in the solar energy management system. 如請求項6所述之太陽能電廠的發電預測系統,其中該移動速度計算裝置係根據該第二電廠與該第三電廠的座標以獲得該第二電廠與該第三電廠之間的該相對距離。The power generation prediction system of the solar power plant of claim 6, wherein the movement speed calculation device is based on coordinates of the second power plant and the third power plant to obtain the relative distance between the second power plant and the third power plant .
TW105140058A 2016-12-05 2016-12-05 Power generation prediction system and method for solar power plant TWI637332B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
TW105140058A TWI637332B (en) 2016-12-05 2016-12-05 Power generation prediction system and method for solar power plant

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
TW105140058A TWI637332B (en) 2016-12-05 2016-12-05 Power generation prediction system and method for solar power plant

Publications (2)

Publication Number Publication Date
TW201822079A TW201822079A (en) 2018-06-16
TWI637332B true TWI637332B (en) 2018-10-01

Family

ID=63258401

Family Applications (1)

Application Number Title Priority Date Filing Date
TW105140058A TWI637332B (en) 2016-12-05 2016-12-05 Power generation prediction system and method for solar power plant

Country Status (1)

Country Link
TW (1) TWI637332B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11329500B2 (en) 2019-01-30 2022-05-10 Industrial Technology Research Institute Charging and discharging device and charging and discharging method

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201117512A (en) * 2009-08-05 2011-05-16 First Solar Inc Cloud tracking
TW201539973A (en) * 2015-06-25 2015-10-16 Sinogreenenergy Consultant Co Ltd Power generation capacity estimation method for solar power plant
US20160166085A1 (en) * 2014-12-15 2016-06-16 Hussmann Corporation Door for a refrigerated merchandiser

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
TW201117512A (en) * 2009-08-05 2011-05-16 First Solar Inc Cloud tracking
US20160166085A1 (en) * 2014-12-15 2016-06-16 Hussmann Corporation Door for a refrigerated merchandiser
TW201539973A (en) * 2015-06-25 2015-10-16 Sinogreenenergy Consultant Co Ltd Power generation capacity estimation method for solar power plant

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11329500B2 (en) 2019-01-30 2022-05-10 Industrial Technology Research Institute Charging and discharging device and charging and discharging method

Also Published As

Publication number Publication date
TW201822079A (en) 2018-06-16

Similar Documents

Publication Publication Date Title
Prasad et al. Assessment of solar and wind resource synergy in Australia
Sun et al. GIS-based approach for potential analysis of solar PV generation at the regional scale: A case study of Fujian Province
US20140149038A1 (en) Solar irradiance measurement system and weather model incorporating results of such measurement
Wu et al. Integrating solar PV (photovoltaics) in utility system operations: Analytical framework and Arizona case study
US10663620B2 (en) Method and apparatus for forecasting solar radiation and solar power production using synthetic irradiance imaging
Fogl et al. Influence of vegetation canopies on solar potential in urban environments
Yang et al. Classification and summarization of solar irradiance and power forecasting methods: A thorough review
JP6685065B2 (en) Design support device for solar power generation equipment, design support method, design support program, and learned model creation device for design support
Dhimish et al. Estimating the impact of azimuth-angle variations on photovoltaic annual energy production
CN114881399B (en) Photovoltaic power generation potential and economical efficiency assessment method based on GF7 remote sensing image
Chung Estimating solar insolation and power generation of photovoltaic systems using previous day weather data
CN105335560A (en) Photovoltaic generation power volatility and automatic generation control reserve demand computing method thereof
KR101847346B1 (en) Simulation System for Solar Power Generation Systems
Zhang et al. Investigating the correlation between wind and solar power forecast errors in the western interconnection
Jayadevan et al. Forecasting solar power intermittency using ground-based cloud imaging
CN115392494A (en) Intelligent photovoltaic ash removal method and system
CN115617081A (en) Tracking method, device, electronic equipment and storage medium
TWI637332B (en) Power generation prediction system and method for solar power plant
Zubair et al. Assessment of photovoltaic capabilities in urban environments: A case study of Islamabad, Pakistan
Salimzadeh et al. High-level framework for GIS-based optimization of building photovoltaic potential at urban scale using BIM and LiDAR
Jiang et al. Review of wind power forecasting methods: From multi-spatial and temporal perspective
CN115494883A (en) Inverse tracking optimization method and device, electronic equipment and storage medium
AU2021238365A1 (en) Systems and methods for enhanced reactive power management in a hybrid environment
CN107222721A (en) A kind of photovoltaic module dedusting demand monitoring and Forecasting Methodology
Mirdanies et al. Dual-axis solar tracking system: A combined astronomical estimation and visual feedback