TW202123156A - Distributed smart charging network control method and distributed smart grid controller capable of avoiding contract capacity exceeding the agreed load - Google Patents
Distributed smart charging network control method and distributed smart grid controller capable of avoiding contract capacity exceeding the agreed load Download PDFInfo
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本發明係關於一種控制方法及控制器,特別是關於一種分散式智慧充電網絡控制方法及分散式智慧電網控制器。The present invention relates to a control method and a controller, in particular to a distributed smart charging network control method and a distributed smart grid controller.
汽機車係為目前使用者廣泛使用的交通工具,但由於汽機車數量眾多,也造成環境中碳的排放量大量增加。因此,為了降低生活環境中碳的排放量,近年來複數國家則積極推動電動汽車以及電動機車來取代傳統使用燃油的汽機車。Automobiles and motorcycles are currently widely used vehicles. However, due to the large number of automobiles and motorcycles, the carbon emissions in the environment have also increased significantly. Therefore, in order to reduce carbon emissions in the living environment, in recent years, a number of countries have actively promoted electric vehicles and electric vehicles to replace traditional fuel-based steam and locomotives.
承上所述,當使用的電動汽機車數量增加時,在理想狀況下,設置的充電點亦應相對應地增加,故對於傳統電力網絡亦會增加更多能源需求。因此,除了在設置的充電點數量尚未增加到足夠的數量時,恐造成需要充電的汽機車擁塞在充電點之外,由於即時電網能源需求過多,恐造成既設線路容量不足以提供,故需要針對電動汽機車的充電進行最有效之電量管理及調配。As mentioned above, when the number of electric vehicles in use increases, under ideal conditions, the number of charging points should increase correspondingly, so the traditional power network will also increase the demand for more energy. Therefore, in addition to when the number of charging points has not been increased to a sufficient number, there is a risk of congestion of motor vehicles and vehicles that need to be charged in addition to the charging points. Due to the excessive demand for real-time grid energy, the existing line capacity may not be enough to provide, so it needs to be targeted. The most effective power management and deployment are carried out for the charging of electric cars and locomotives.
進一步而言,若充電點設置在建築大樓周遭,並利用建築大樓所提供的市電作為充電來源,而由於複數建築大樓皆有簽定用電契約容量,不能超過瞬間額定用電量,因此,若在充電期間有過多的電動汽機車集中在同一個充電點進行充電,除了造成大樓的用電負荷之外,針對欲進行充電的用戶端亦造成無法充電,而必須另外尋找其他充電點的不便。Furthermore, if the charging point is set up around a building, and the city power provided by the building is used as the source of charging, and since multiple buildings have a signed power contract capacity, they cannot exceed the instantaneous rated power consumption. Therefore, if During the charging period, too many electric vehicles are concentrated at the same charging point for charging. In addition to causing the electricity load of the building, it also causes the inconvenience of charging users who want to charge, and it is inconvenient to find other charging points.
此外,除了以市電提供充電的電能,目前還有以太陽能轉換電能作為充電的電能。而在市電供電吃緊的情況下,雖然可以太陽能作為另一種充電的電能,但並非每一個大樓、充電站以及充電點皆設置有太陽能充電的功能。而除了可以市電進行充電以外,設置有太陽能充電功能的大樓、充電站以及充電點應當具備較為充足的電能可提充電動汽機車充電。然而,在其他沒有設置太陽能充電的大樓、充電站以及充電點在市電供電吃緊的情況下,相較之下,將造成電力分配不均的問題。In addition, in addition to supplying electric energy for charging by city electricity, there are also solar energy conversion electric energy as electric energy for charging. In the case of tight municipal power supply, although solar energy can be used as another type of electrical energy for charging, not every building, charging station, and charging point is equipped with solar charging. In addition to being able to charge from the mains, buildings, charging stations, and charging points equipped with solar charging functions should have sufficient electrical energy to charge electric vehicles. However, when other buildings, charging stations, and charging points that are not equipped with solar charging are in short supply from the city power supply, in comparison, the problem of uneven power distribution will be caused.
據此,如何提供一種可針對複數地區、複數大樓、複數充電站以及複數充電點進行充電的管理與分配已成為目前急需研究的課題。Accordingly, how to provide a charging management and distribution for multiple areas, multiple buildings, multiple charging stations, and multiple charging points has become an urgent research topic.
鑑於上述問題,本發明提供一種分散式智慧充電網絡控制方法,包含下列步驟:擷取統計資料步驟,擷取統計資料中的充電網絡的一統計數量資訊、一統計供電資訊、一統計負載資訊以及一統計儲能資訊,並根據該些統計資訊產生一初始預測充放電資訊模型,其中該充電網絡由複數地區的複數大樓的複數充電站的複數充電點所形成。擷取即時資訊步驟,擷取該充電網絡之一即時數量資訊、一即時供電資訊、一即時負載資訊以及一即時儲能資訊,並根據該些即時資訊及該初始預測充放電資訊模型產生該充電網絡之一最佳化充放電控制排程。傳送最佳化充放電控制排程至複數用戶端。傳送最佳化充放電控制排程至一管理端,使管理端根據最佳化充放電控制排程控制複數地區、複數大樓、複數充電站以及複數充電點之間電力的開關。In view of the above problems, the present invention provides a distributed intelligent charging network control method, including the following steps: a step of retrieving statistical data, retrieving a statistical quantity information, a statistical power supply information, a statistical load information of the charging network in the statistical data, and A statistical energy storage information is generated, and an initial predictive charging and discharging information model is generated based on the statistical information, wherein the charging network is formed by a plurality of charging points of a plurality of charging stations in a plurality of buildings in a plurality of regions. The step of acquiring real-time information is to acquire real-time quantity information, real-time power supply information, real-time load information, and real-time energy storage information of the charging network, and generate the charging based on the real-time information and the initial predicted charging and discharging information model One of the networks optimizes the charging and discharging control schedule. Send the optimized charge and discharge control schedule to multiple clients. Transmit the optimized charge and discharge control schedule to a management end, so that the management end controls the switching of power between multiple areas, multiple buildings, multiple charging stations, and multiple charging points according to the optimized charge and discharge control schedule.
本發明揭露一種分散式智慧電網控制器,包含一儲存模組、一通訊連接埠、一資料運算模組以及一電力控制開關。儲存模組儲存統計資料中充電網絡的一統計數量資訊、一統計供電資訊、一統計負載資訊以及一統計儲能資訊,其中充電網絡由複數地區的複數大樓的複數充電站的複數充電點所形成。通訊連接埠以有線或無線即時傳輸及接收充電網絡之一即時數量資訊、一即時供電資訊、一即時負載資訊以及一即時儲能資訊,並儲存於儲存模組中。資料運算模組電性連接儲存模組,並根據該些統計資訊產生一初始預測充放電資訊模型後,根據該些即時資訊及初始預測充放電資訊模型產生充電網絡之一最佳化充放電控制排程。電力控制開關控制充電網絡的電力開啟及關閉。最佳化充放電控制排程藉由通訊連接埠傳送至複數用戶端,電力控制開關根據最佳化充放電控制排程控制充電網絡的電力開啟及關閉。The present invention discloses a distributed smart grid controller, which includes a storage module, a communication port, a data calculation module, and a power control switch. The storage module stores one statistical quantity information, one statistical power supply information, one statistical load information, and one statistical energy storage information of the charging network in the statistical data, wherein the charging network is formed by the plurality of charging points of the plurality of charging stations in the plurality of buildings in the plurality of regions . The communication port transmits and receives real-time quantity information, real-time power supply information, real-time load information, and real-time energy storage information of the charging network by wired or wireless real-time, and is stored in the storage module. The data computing module is electrically connected to the storage module, and after generating an initial predictive charge and discharge information model based on the statistical information, an optimal charge and discharge control of the charging network is generated based on the real-time information and the initial predictive charge and discharge information model schedule. The power control switch controls the power on and off of the charging network. The optimized charging and discharging control schedule is sent to multiple clients through the communication port, and the power control switch controls the power on and off of the charging network according to the optimized charging and discharging control schedule.
承上所述,本發明之分散式智慧電網控制器以及分散式智慧充電網絡控制方法藉由擷取各種資訊,由演算法分類、運算及判斷,產生最佳化充放電控制排程,並傳送至用戶端及管理端。對用戶端而言,可以根據最佳化充放電控制排程所提供的各種排程選擇自己欲進行充電的充電點。對管理端而言,可有效的平衡及傳輸充電網絡中複數地區複數大樓、複數充電站以及複數充電點之間的電力,進一步達到分散式智慧充電的管理。As mentioned above, the distributed smart grid controller and distributed smart charging network control method of the present invention captures various information, classifies, calculates and judges by algorithms, generates an optimized charge and discharge control schedule, and transmits it To the user end and management end. As far as the user is concerned, the charging point that he wants to charge can be selected according to the various schedules provided by the optimized charge and discharge control schedule. For the management side, it can effectively balance and transmit the electricity between multiple buildings, multiple charging stations and multiple charging points in multiple areas in the charging network, and further achieve the management of decentralized smart charging.
請參閱圖1,其係為本發明分散式智慧充電網絡控制方法的流程圖。首先,需注意的是在本發明之實施例中,所謂的充電網絡係指由複數地區的複數大樓的複數充電站的複數充電點所形成的充電網絡,大樓、充電站以及充電點包含可以市電、太陽能光電以及燃料電池充電的地點。於擷取統計資料步驟S11中,分散式智慧充電網絡控制方法包含擷取該統計資料中充電網絡的統計數量資訊、統計供電資訊、統計負載資訊以及統計儲能資訊,並根據該些統計資訊產生一初始預測充放電資訊模型。於擷取即時資訊步驟S13中,擷取充電網絡之即時數量資訊、即時供電資訊、即時負載資訊以及即時儲能資訊,並根據該些即時資訊及初始預測充放電資訊模型產生充電網絡的一最佳化充放電控制排程。於步驟S15中,傳送最佳化充放電控制排程至複數用戶端。於步驟S17中,傳送最佳化充放電控制排程至一管理端,使管理端根據最佳化充放電控制排程控制充電網絡中,複數地區、複數大樓、複數充電站以及複數充電點之間電力的開關。Please refer to FIG. 1, which is a flowchart of the distributed intelligent charging network control method of the present invention. First of all, it should be noted that in the embodiment of the present invention, the so-called charging network refers to a charging network formed by a plurality of charging points of a plurality of charging stations in a plurality of buildings in a plurality of areas, and the buildings, charging stations, and charging points include commercial power. , Solar photovoltaic and fuel cell charging locations. In the step S11 of capturing statistical data, the distributed smart charging network control method includes capturing statistical information, statistical power supply information, statistical load information, and statistical energy storage information of the charging network in the statistical data, and generate according to the statistical information An initial predictive charge and discharge information model. In the step S13 of acquiring real-time information, real-time quantity information, real-time power supply information, real-time load information, and real-time energy storage information of the charging network are acquired, and a maximum of the charging network is generated based on the real-time information and the initial predicted charging and discharging information model. Optimized charging and discharging control schedule. In step S15, the optimized charge and discharge control schedule is transmitted to a plurality of clients. In step S17, the optimized charging and discharging control schedule is transmitted to a management terminal, so that the management terminal controls the charging network according to the optimized charging and discharging control schedule, among a plurality of areas, a plurality of buildings, a plurality of charging stations, and a plurality of charging points. Power switch.
此外,在上述擷取統計資料步驟S11中更包含擷取統計電價資訊以及統計氣象資訊,擷取即時資訊步驟S13中更包含擷取即時電價資訊以及即時氣象資訊。統計負載資訊以及即時負載資訊包含複數地區的複數大樓的複數充電站的複數充電點的用電契約容量負載資訊以及用電量資訊。統計儲能資訊以及即時儲能資訊包含複數地區的複數大樓的複數充電站的複數充電點的儲備電能資訊以及契約用電容量資訊。統計電價資訊以及即時電價資訊包含複數地區的複數大樓的複數充電站的複數充電點提供之市電時間電價資訊。統計氣象資訊以及即時氣象資訊包含複數地區的複數大樓的複數充電站的複數充電點所在地區之天氣資訊、溫度資訊、風力資訊、濕度資訊、天氣雲圖資訊以及紫外線資訊。統計供電資訊以及即時供電資訊包含太陽光電逆變器的發電量及用電量資訊、市電資訊以及燃料電池資訊。統計數量資訊包含複數地區的複數大樓的複數充電站的複數充電點的充電樁數量資訊。即時數量資訊包含複數地區的複數大樓的複數充電站的複數充電點之充電樁數量資訊、等待充電之車輛數量資訊以及進行充電車輛的充電時間資訊,其中充電樁的電能藉由太陽光電逆變器轉換光能產生。上述的統計數量資訊、統計供電資訊、統計負載資訊、統計儲能資訊、統計電價資訊、統計氣象資訊、即時數量資訊、即時供電資訊、即時負載資訊、即時儲能資訊、即時電價資訊以及即時氣象資訊儲存於儲存模組、資料庫或者雲端網路中。In addition, the step S11 of retrieving statistical data further includes retrieving statistical electricity price information and statistical weather information, and the retrieving of real-time information step S13 further includes retrieving real-time electricity price information and real-time weather information. The statistical load information and the real-time load information include power contract capacity load information and power consumption information of multiple charging points of multiple charging stations in multiple buildings in multiple regions. The statistical energy storage information and the real-time energy storage information include the stored electric energy information and the contracted electricity capacity information of the multiple charging points of the multiple charging stations in the multiple buildings in the multiple regions. The statistical electricity price information and the real-time electricity price information include the city electricity time and electricity price information provided by the multiple charging points of multiple charging stations in multiple buildings in multiple areas. Statistical weather information and real-time weather information include weather information, temperature information, wind information, humidity information, weather cloud image information, and ultraviolet information of the area where the multiple charging points of multiple charging stations in multiple buildings in multiple regions are located. Statistical power supply information and real-time power supply information include power generation and power consumption information of solar photovoltaic inverters, utility power information, and fuel cell information. The statistical quantity information includes information on the number of charging piles at the plural charging points of plural charging stations in plural buildings in plural areas. The real-time quantity information includes the number of charging piles of the plural charging points of the plural charging stations of the plural buildings in the plural areas, the number of vehicles waiting to be charged, and the charging time information of the charging vehicles. The electric energy of the charging piles is provided by solar photovoltaic inverters. Convert light energy to produce. The above-mentioned statistical quantity information, statistical power supply information, statistical load information, statistical energy storage information, statistical electricity price information, statistical weather information, real-time quantity information, real-time power supply information, real-time load information, real-time energy storage information, real-time electricity price information, and real-time weather Information is stored in storage modules, databases or cloud networks.
於上述擷取統計資料步驟S11中,其擷取統計資料中充電網絡的統計數量資訊、統計供電資訊、統計負載資訊、統計儲能資訊、統計電價資訊以及統計氣象資訊係作為預測未來充電網絡使用的充放電狀態而建立的資料預測模型,亦即,一般而言,在正常的使用情況下,複數地區的複數大樓的複數充電站的複數充電點的使用狀態並不會有突然劇烈改變的狀況出現,因此,充電網絡可以過去一段時間使用的資料的作為建立預測充放電的初始模型。擷取統計資料過去的一段時間包含擷取過去一日、二日、三日、一週、一月、一季、半年或者一年的充電網絡的統計數量資訊、統計供電資訊、統計負載資訊、統計儲能資訊、統計電價資訊以及統計氣象,於本發明中並不限定。或者,亦可根據萬年曆資訊、農民曆資訊、行事曆資訊以及星座運勢資訊擷取統計資料。進一步而言,例如根據行事曆,在平常的上班日期,用戶端會使用到充電點的數量可能較少,亦即負載量較低,因此,在平常上班日期則可在充電網絡中進行儲備電能的動作。相對地,若在例假日、國定假日、連續假日或特殊節日時,在各個地區可能出現大量車潮,因而用戶端此時對於充電則具有大量需求,因此,在上述節日期間則可將平常上班日所儲備的電能提供到充電網絡中,或者將負載量較低、供電容量較大之充電點的電力傳輸到負載量較大、供電容量較小之充電點,因而達到充電網絡中電力的平衡及分配,進一步避免單一充電點負載過大,或者充電點有充沛的電力卻無用戶使用的狀況。相似地,上述的統計數量資訊、統計供電資訊、統計負載資訊、統計儲能資訊、統計電價資訊、統計氣象資訊、即時數量資訊、即時供電資訊、即時負載資訊、即時儲能資訊、即時電價資訊以及即時氣象資訊對於充電網絡中複數地區、複數大樓、複數充電站以及複數充電點的電力分配及使用也會造成影響,最佳化充放電控制排程則可根據該些資訊針對充電網絡進行充放電的管理、修正、調配及平衡。In the step S11 of extracting statistical data, it extracts statistical quantity information, statistical power supply information, statistical load information, statistical energy storage information, statistical electricity price information, and statistical meteorological information of the charging network in the statistical data to predict future use of the charging network A data prediction model based on the charging and discharging state of the battery, that is, generally speaking, under normal use, the state of use of the multiple charging points of the multiple charging stations in multiple buildings in multiple areas will not change suddenly and drastically. As a result, the charging network can use the data used in the past period of time as an initial model for predicting charging and discharging. Retrieving statistical data for a period of time in the past includes retrieving the statistical quantity information, statistical power supply information, statistical load information, and statistical storage of the charging network in the past one, two, three, one week, one month, one quarter, six months, or one year. Capable information, statistical electricity price information, and statistical weather are not limited in the present invention. Alternatively, statistics can be retrieved based on perpetual calendar information, farmer calendar information, calendar information, and horoscope information. Furthermore, for example, according to the calendar, the number of charging points that the user will use on the normal working day may be less, that is, the load is low. Therefore, on the normal working day, the electric energy can be stored in the charging network. Actions. On the other hand, if there is a large number of vehicle surges in various areas during regular holidays, national holidays, consecutive holidays or special holidays, the user terminal has a large demand for charging at this time. Therefore, during the above holidays, you can usually go to work. The daily stored electric energy is provided to the charging network, or the power from the charging point with a lower load and larger power supply capacity is transferred to the charging point with a larger load and smaller power supply capacity, thus achieving the balance of power in the charging network And distribution, to further avoid the situation that a single charging point is overloaded, or the charging point has sufficient power but no users use it. Similarly, the aforementioned statistical quantity information, statistical power supply information, statistical load information, statistical energy storage information, statistical electricity price information, statistical weather information, real-time quantity information, real-time power supply information, real-time load information, real-time energy storage information, and real-time electricity price information And real-time weather information will also affect the power distribution and use of multiple areas, multiple buildings, multiple charging stations, and multiple charging points in the charging network. The optimized charging and discharging control schedule can be used to charge the charging network based on this information. Discharge management, correction, deployment and balance.
最佳化充放電控制排程包含用戶端所在地區(當使用者開啟智慧型裝置的定位功能時)距離複數大樓的複數充電站的複數充電點的路徑規劃排程、時間規劃排程以及複數大樓的複數充電站的複數充電點可充電的剩餘數量的一計算排程。最佳化充放電控制排程亦包含複數大樓的複數充電站的複數充電點周遭的活動資訊排程。活動資訊排程包含充電折扣優惠排程以及藝文活動資訊排程。最佳化充放電控制排程可將各種規劃的資訊排程一併顯示於一能源管理地圖中,以便於用戶端快速瀏覽及掌握所有資訊。用戶端可藉由智慧型裝置、電腦裝置或者雲端網路接收最佳化充放電控制排程,使得用戶端可立即了解根據其目前所在充電網絡中的位置,若依據最佳路徑規劃排程,可到達周遭的充電點所在位置,或者,若依據最短時間規劃排程,可最快到達周遭充電點的所在位置,或者,依據用戶端目前所在充電網絡中的位置,顯示出周遭可使用的充電點的剩餘數量,或者,若有充電的優惠活動排程,亦可一併顯示在能源管理地圖中,供使用者參考。最佳化充放電控制排程亦包含用戶端個人的充電記錄,亦即,從用戶端以往的充電記錄,可快速產生最佳化充放電控制排程。此外,最佳化充放電控制排程亦包含於離峰時間針對充電網絡進行的電能儲備排程以及在尖峰時間以太陽光電逆變器產生電能的電能生成排程。儲備的電能可儲存在燃料電池或者其他可以儲存電能的裝置中,於本發明中並不限定。相似地,管理端同樣藉由智慧型裝置、電腦裝置或雲端網路接收最佳化充放電控制排程,不同之處在於最佳化充放電控制排程係根據管理端或者用戶端的身份傳送不同的最佳化充放電控制排程內容。例如,管理端需要接收的最佳化充放電控制排程包含電能儲備排程以及電能生成排程,以便於針對充電網絡進行充放電的管理,而用戶端則並不需要接收此類的最佳化充放電控制排程。The optimized charging and discharging control schedule includes the route planning and time planning of the multiple charging points of the multiple charging stations in the multiple buildings and the multiple buildings in the area where the user is located (when the user turns on the positioning function of the smart device) A calculation schedule of the remaining number of charging points that can be charged at the plurality of charging stations. The optimized charging and discharging control schedule also includes the activity information schedule around the charging points of the charging stations in the buildings. Event information schedule includes charging discount schedule and art event information schedule. The optimized charging and discharging control schedule can display various planned information schedules in an energy management map, so that the client can quickly browse and grasp all the information. The client can receive the optimized charging and discharging control schedule through a smart device, a computer device or a cloud network, so that the client can immediately understand its current location in the charging network. If the schedule is planned based on the best path, It can reach the location of the surrounding charging points, or, if the schedule is planned according to the shortest time, the location of the surrounding charging points can be reached as soon as possible, or, according to the current location of the user terminal in the charging network, it shows the available charging around The remaining number of points, or, if there is a special charging schedule, can also be displayed on the energy management map for users' reference. The optimized charging and discharging control schedule also includes the personal charging records of the user end, that is, from the previous charging records of the user end, the optimized charging and discharging control schedule can be quickly generated. In addition, the optimized charging and discharging control schedule also includes the electric energy storage schedule for the charging network during off-peak hours and the electric energy generation schedule for the solar photovoltaic inverter to generate electric energy during peak times. The stored electrical energy can be stored in a fuel cell or other devices that can store electrical energy, which is not limited in the present invention. Similarly, the management terminal also receives the optimized charging and discharging control schedule through smart devices, computer devices or cloud networks. The difference is that the optimized charging and discharging control schedule is transmitted according to the identity of the management terminal or the client. The optimized charging and discharging control schedule content. For example, the optimized charge and discharge control schedule that the management terminal needs to receive includes the electric energy reserve schedule and the electric energy generation schedule to facilitate the charge and discharge management of the charging network, while the user terminal does not need to receive such optimal schedules. Chemical charge and discharge control schedule.
演算法包含人工智慧演算的方法,但於本發明中並不限定。演算法另一較佳實施例包含下列步驟:藉由即時擷取充電網絡的即時數量資訊、即時供電資訊、即時負載資訊以及即時儲能資訊更新取代統計資料中充電網絡的統計數量資訊、統計供電資訊、統計負載資訊以及統計儲能資訊,以更新初始預測充放電資訊模型,並傳送至一雲端網路。藉由雲端網路的資料運算模組判斷更新後的充電網絡中複數地區的複數大樓的複數充電站的複數充電點的即時負載大小以及剩餘可使用的數量是否達到一預設臨界值。若未達到預設臨界值,藉由資料運算模組產生最佳化充放電控制排程並傳送至用戶端及管理端。若達到預設臨界值,根據用戶端所在地區距離複數大樓、複數充電站以及複數充電點之距離遠近、時間長短、可充電的剩餘數量產生最佳化充放電控制排程,並傳送至用戶端及管理端。再者,管理端在充電點的即時負載大小達到預設臨界值時,根據最佳化充放電控制排程調配其他充電點的電力至該即時負載大小達到預設臨界值的充電點,以維持整個充電網絡的電力平衡及分配,並在電力平衡及分配之後,重新產生新的最佳化充放電控制排程。因此,需注意的是,上述演算法的步驟係為一重複執行的迴圈過程,其可以一預定時間間隔執行,或者在有任何的資訊變化產生時即時的上傳至雲端網路,以即時產生新的最佳化充放電控制排程,於本發明中並不限定。Algorithms include artificial intelligence calculation methods, but are not limited in the present invention. Another preferred embodiment of the algorithm includes the following steps: replacing the statistical information of the charging network and the statistical power supply in the statistical data by real-time acquisition of the real-time quantity information of the charging network, real-time power supply information, real-time load information, and real-time energy storage information update. Information, statistical load information, and statistical energy storage information to update the initial predictive charge and discharge information model, and send it to a cloud network. The data computing module of the cloud network determines whether the real-time load size of the multiple charging points of the multiple charging stations in the multiple buildings in the multiple areas in the updated charging network and the remaining usable number reach a preset threshold. If the preset threshold is not reached, an optimized charge-discharge control schedule is generated by the data calculation module and sent to the client and management end. If the preset threshold is reached, the optimized charging and discharging control schedule will be generated according to the distance between the multiple buildings, multiple charging stations, and multiple charging points, the length of time, and the remaining number of recharges in the area where the user terminal is located, and send it to the user terminal And the management side. Furthermore, when the real-time load of the charging point reaches the preset threshold, the management terminal allocates power from other charging points to the charging point where the real-time load reaches the preset threshold according to the optimized charge and discharge control schedule to maintain The power balance and distribution of the entire charging network, and after the power balance and distribution, a new optimal charging and discharging control schedule is regenerated. Therefore, it should be noted that the steps of the above algorithm are a repetitive loop process, which can be executed at a predetermined time interval, or uploaded to the cloud network in real time when there is any information change, so as to generate in real time. The new optimized charge and discharge control schedule is not limited in the present invention.
請參閱圖2,其係為本發明分散式智慧電網控制器的示意圖。分散式智慧電網控制器1包含一儲存模組11、一通訊連接埠12、一資料運算模組13以及一電力控制開關14。儲存模組11儲存統計資料中充電網絡的統計數量資訊、統計供電資訊、統計負載資訊以及統計儲能資訊,其中充電網絡由複數地區的複數大樓的複數充電站的複數充電點所形成。通訊連接埠12以有線或無線即時傳輸及接收充電網絡之即時數量資訊、即時供電資訊、即時負載資訊以及即時儲能資訊,並儲存於儲存模組11中。資料運算模組13電性連接儲存模組11,並根據該些統計資訊產生一初始預測充放電資訊模型後,根據該些即時資訊及初始預測充放電資訊模型產生充電網絡之最佳化充放電控制排程。電力控制開關14控制充電網絡的電力開啟及關閉。最佳化充放電控制排程藉由通訊連接埠12傳送至複數用戶端,電力控制開關14根據最佳化充放電控制排程控制充電網絡的電力開啟及關閉。Please refer to FIG. 2, which is a schematic diagram of the distributed smart grid controller of the present invention. The distributed
此外,需注意的是雖然圖式中係以地區包含大樓,大樓包含充電站,充電站包含充電點的方式表示,然而,充電站和充電點除了可經由大樓供電以外,亦可設置在大樓外部,並獨立以太陽光電逆變器產生電能或是以燃料電池提供電能,並非必須藉由大樓的市電供電。儲備的電能可儲存在燃料電池或者其他可以儲存電能的裝置。但不論是否經由大樓供電,以太陽光電逆變器產生電能或是以燃料電池提供電能的充電站和充電點皆可在其他地區或是大樓供電吃緊時提供額外的電力。In addition, it should be noted that although the diagram shows that the area includes the building, the building includes the charging station, and the charging station includes the charging point, the charging station and the charging point can be installed outside the building in addition to being powered by the building. , And independently use solar photovoltaic inverters to generate electricity or fuel cells to provide electricity, not necessarily from the building’s mains power supply. The stored electrical energy can be stored in a fuel cell or other device that can store electrical energy. Regardless of whether it is powered by the building or not, the charging stations and charging points that use solar photovoltaic inverters to generate electricity or fuel cells to provide electricity can provide additional power in other areas or when the building's power supply is tight.
圖3係為本發明分散式智慧電網控制器的另一示意圖。分散式智慧電網控制器1更包含電壓電流計算模組15,計算及量測通訊連接埠12接收之充電網絡中的即時供電資訊、即時負載資訊以及即時儲能資訊,進一步計算量測出充電網絡中複數地區的複數大樓的複數充電站的複數充電點的供電量、負載量以及儲備能量的大小,並傳送至資料運算模組13進行判斷後,傳送控制訊號至電力控制開關14,將儲備電能較充裕之大樓、充電站或者充電點的電力輸送到負載大、供電吃緊的大樓、充電站或者充電點,以維持整個充電網絡的電力平衡及分配。Figure 3 is another schematic diagram of the distributed smart grid controller of the present invention. The distributed
分散式智慧電網控制器1除了上述硬體裝置之外,更包含上述使用分散式智慧充電網絡控制方法的軟體,據此,分散式智慧電網控制器1藉由分散式智慧充電網絡控制方法所達成的功效如上所述,於此不再贅述。In addition to the above-mentioned hardware devices, the distributed
此外,儲存模組11及資料運算模組13包含隨插即用模組,可隨時插入分散式智慧電網控制器1使用,或者,在不使用時,亦可隨時由分散式智慧電網控制器1拔除,於本發明並不限制。再者,上述之統計資訊以及即時資訊皆儲存在儲存模組11、資料庫或者雲端網路中,於本發明中並不限定。通訊連接埠則以有線或無線方式接收及傳輸即時資料。儲存模組11儲存的統計資料包含過去一日、二日、三日、一週、一月、一季、半年或者一年之充電網絡的統計數量資訊、統計供電資訊、統計負載資訊、統計儲能資訊、統計電價資訊及統計氣象資訊。In addition, the
分散式智慧電網控制器1更包含顯示裝置16,顯示目前的充電網絡中需要進行充放電操作的充電點,以便於管理端或者以人工智慧進行充放電的管理控制。顯示裝置16可將資訊顯示在螢幕上,亦可顯示在智慧型裝置的APP上。The distributed
分散式智慧電網控制器更包含供電模組17,電性連接電力控制開關14,以藉由電力控制開關14提供充電網絡電力。根據上述的資料運算模組13判斷後,傳送控制訊號至電力控制開關14,供電模組17將電力傳送至負載大、供電吃緊的大樓、充電站或者充電點,以維持整個充電網絡的電力平衡及分配。The distributed smart grid controller further includes a
此外,充電網絡中複數地區複數大樓、複數充電站以及複數充電點包含至少一監控裝置(未圖示),若有異常狀態出現時,可經由監控裝置發出異常訊號至分散式智慧電網控制器1及管理端,並根據異常狀況進行修護及排除。或者,亦可將監控裝置設置在分散式智慧電網控制器1上,並監控一預設範圍內複數地區複數大樓、複數充電站以及複數充電點是否發生異常狀況,並根據異常狀況進行修護及排除。In addition, multiple buildings, multiple charging stations, and multiple charging points in the charging network include at least one monitoring device (not shown). If an abnormal state occurs, the monitoring device can send an abnormal signal to the distributed
綜上所述,本發明揭露一種分散式智慧電網控制器以及分散式智慧充電網絡控制方法以及分散式智慧充電網絡暨電網能源最佳化控制方法,透過擷取電力網絡充電站系統、產能資訊、台電資訊、各式負載及儲能系統資訊,並依據歷史資訊於地端進行統計運算與分析,上拋至雲端以人工智慧演算取得網絡中最佳充電路徑,並產出日前電力網絡中最佳能源排程控制策略,進一步結合當日即時資訊及使用端實際操作情況,依據該資訊進行最適化能源調變,使得整體電力網絡達到供需平衡、避免契約容量超約外,提供使用端詳細充電方案及管理端最佳調度策略。再者,分散式智慧電網控制器以及分散式智慧充電網絡控制方法藉由擷取各種資訊,由演算法分類、運算及判斷,產生最佳化充放電控制排程,並傳送至用戶端及管理端。對用戶端而言,可以根據最佳化充放電控制排程所提供的各種排程選擇自己欲進行充電的充電點。對管理端而言,可有效的平衡及傳輸充電網絡中複數地區的複數大樓的複數充電站的複數充電點之間的電力,進一步達到分散式智慧充電的管理。In summary, the present invention discloses a distributed smart grid controller, a distributed smart charging network control method, and a distributed smart charging network and grid energy optimization control method. By capturing power network charging station system, capacity information, Taipower information, various loads and energy storage system information, and based on historical information, perform statistical calculations and analysis on the ground, and upload them to the cloud to obtain the best charging path in the network through artificial intelligence calculations, and produce the best charging path in the previous power network The energy scheduling control strategy further combines the real-time information of the day and the actual operating conditions of the user end, and optimizes the energy adjustment based on the information, so that the overall power network reaches the balance of supply and demand, avoids the contract capacity exceeding the contract, and provides the user end detailed charging plan and The best scheduling strategy for the management side. Furthermore, the distributed smart grid controller and the distributed smart charging network control method extract various information, classify, calculate, and judge by algorithms to generate an optimized charging and discharging control schedule, and send it to the client for management. end. As far as the user is concerned, the charging point that he wants to charge can be selected according to the various schedules provided by the optimized charge and discharge control schedule. For the management side, it can effectively balance and transmit the power between the multiple charging points of the multiple charging stations in the multiple buildings in the multiple areas of the charging network, and further achieve the management of decentralized smart charging.
1:分散式智慧電網控制器 11:儲存模組 12:通訊連接埠 13:資料運算模組 14:電力控制開關 15:電壓電流計算模組 16:顯示裝置 17:供電模組1: Distributed smart grid controller 11: Storage module 12: Communication port 13: Data calculation module 14: Power control switch 15: Voltage and current calculation module 16: display device 17: Power supply module
圖1係為本發明分散式智慧充電網絡控制方法的流程圖;以及 圖2係為本發明分散式智慧電網控制器的示意圖;以及 圖3係為本發明分散式智慧電網控制器的另一示意圖。Figure 1 is a flow chart of the distributed smart charging network control method of the present invention; and Figure 2 is a schematic diagram of the distributed smart grid controller of the present invention; and Figure 3 is another schematic diagram of the distributed smart grid controller of the present invention.
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