特斯拉正在研究透過分散式太陽能搭配儲能模式來革新現有電網調度技術。(02/17/2020 Electrek 、新浪新聞中心)
據Electrek報導,特斯拉正在研究「可擴展的分級能源分配網格」技術,這可能會徹底改變電網分配太陽能的方式。到目前為止,特斯拉的能源部門,主要涉及部署分散式太陽能發電和能源存儲資產。
但是去年,特斯拉CEO馬斯克表示,「特斯拉能源正在成為分散式全球公共事業,可能超過汽車業務」。特斯拉現在計劃優化所有的太陽能和能源資產,為用戶及電網獲取更多的價值。
Tesla is working on technology to revolutionize the electrical grid with distributed solar power (Fred Lambert
- Feb. 17th 2020 2:35 pm ET)
Tesla is working on technology for “a scalable hierarchical energy distribution grid” that could revolutionize how the electrical grid distributes solar power.
To date, Tesla’s energy division, Tesla Energy, mostly involved deploying distributed solar power and energy storage assets.
But last year, CEO Elon Musk said that “Tesla Energy is becoming a distributed global utility and could outgrow the automotive business“:
Tesla Energy is going to be a major part of Tesla’s activity in the future. And Tesla’s mission from the beginning has been to accelerate the advent of sustainable energy — that means sustainable energy generation and sustainable energy consumption in the form of electric vehicles.
Tesla plans to optimize all the solar and energy assets that it is installing at its customers’ homes in order to get as much value for them and the electric grid.
In a new patent application, Tesla describes the problem:
Despite the advantages associated with integrating grid-connected PV energy generation with onsite energy storage, there are a number of challenges that make it difficult to efficiently deploy and control such integrated systems, particularly on a large, distributed scale. For example, it is tremendously difficult to attempt to control large numbers of energy generation and/or storage systems installed at various sites (in various geographic locations) utilizing differing device types that may have different capabilities, differing grid requirements, differing weather conditions, differing energy pricing schemes, etc.
They explain that “there is a need for efficient, intelligent, adaptive control systems for energy generation and/or storage systems.”
In the new patent application, Tesla describes its new technology for “a scalable hierarchical energy distribution grid utilizing homogeneous control logic”:
Techniques are disclosed for implementing a scalable hierarchical energy distribution grid utilizing homogeneous control logic are disclosed that provide distributed, autonomous control of a multitude of sites in an energy system using abstraction and aggregation techniques. A hierarchical energy distribution grid utilizing homogeneous control logic is provided that includes multiple control modules arranged in a hierarchy. Each control module can implement a same energy optimization scheme logic to directly control site energy resources and possibly energy resources of sites associated with control modules existing below it in the hierarchy. Each control module can act autonomously through use a similar set of input values to the common optimization scheme logic.
Electrek’s Take
From my understanding, Tesla is trying to deploy systems to automate demand management in order to more accurately match it with its distributed energy assets, both generation (solar power) and storage (Powerwall), at scale.
With Tesla deploying more solar power, especially since introducing its subscription model that doesn’t require any money down and only monthly payments, much like a regular electric utility, the company is getting a lot of data that could help it optimize those systems.
This could lead to some new pricing models that could have a massive impact on the electric utility business.
完整內容請見:
https://electrek.co/2020/02/17/tesla-technology-revolutionize-electric-grid/
https://tech.sina.cn/2020-02-18/detail-iimxxstf2279456.d.html
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繼之前分享如何實作「窮人版 ELK」之後,再來分享一下這個服務裡面的 DSL 是如何實作的。會想到要為這個服務做 DSL,主要是小編雖然已經把 Impala 產生的資料利用一些工具轉成 PNG 圖檔,但動作太繁雜,所以想把這些過程用 DSL 來表示,工程師只要會下 SQL 就能把資料轉成 PNG 圖檔了。
其實對於 DSL,有在 follow 粉絲頁的朋友應該有注意到,小編很久以前就有一個屬意的方案了,那就是 MSON。它結合了 Markdown 以及 JSON,所以不只人類易讀,機器也易讀。只不過 MSON Parser 一直都是殘缺不全,所以沒辦法讓小編完整的實作 DSL,這個方案就被捨棄了。
另一個也很適合拿來做 DSL 的就是 YAML 了,個人覺得跟 MSON 比起來易讀性稍低一點,但已經是目前還不錯的實作方式,所以就以這個來做為「窮人版 ELK」的 DSL 實作方案。
DSL 已經把所有轉換的細節都隱藏起來了,工程師只要先自己在 Impala 上撰寫正確的 SQL 指令,其他動作只要把必要欄位填完就可以了。下面是必要欄位的說明:
* SQL:要在 Impala 裡面執行的 SQL 指令,其中有用 ":VAR" 包起來的變數名稱,表示是從 INPUT 欄位取得
* CHART:highcharts 的圖表格式,DSL 目前支援 column (長條圖)、pie (圓餅圖)
* INPUT:這是一個陣列,表示這個變數名稱是從外部操作時取得,另外後面的 "date" 為資料型態,目前支援的類型為 HTML 的 input[type]
* OUTPUT:產生 PNG 圖檔時的欄位資訊,如 X 軸是從 Impala 的哪個欄位取得,顯示在圖表上的名稱要叫什麼
至於轉換細節又是另一件麻煩事,將 DSL 轉成最後的圖檔又經過了不少步驟:
1. js-yaml:雖然說 YAML 很適合拿來做 DSL,但 JSON 還是目前大家最常用的格式。所以當然要先把 YAML 轉成 JSON 這樣才好操作 XD
2. jq:轉換過程中 jq 幫了小編很大的忙,官網寫著這是一套輕量且靈活的命令列 JSON 處理工具。無論要對 JSON 取 key、取 value、取 length、做 group by、做 sort by、if-else、while-loop 都可以,就是很強大。所以小編就拿這個將 YAML 轉換完的 JSON,用一堆奇怪的語法把資料轉換成功。
其實在轉換過程最麻煩的不是操作 JSON,最麻煩的在小編不太會寫 bash script 啊!!!尤其是一堆變數轉換的過程,一下子用 ${},一下子用 $(),還有 ${[$k]} 的這種寫法,看了頭好痛 Orz
最後把 jq 轉完的資料丟給前一篇提到的那些工具,就可以完美把 PNG 圖檔產生出來了,第二篇的「窮人版 ELK」文章到此也就結束了。其實這個專案還有另一個跟圖表無關的功能,那就是即時觀看 API 發送歷程,如果有第三篇的話再來分享一下好了。
* 如何實作「窮人版 ELK」:https://www.facebook.com/kewang.information/posts/2085843121692051
* 如何使用 MSON 的幾個方向:https://www.facebook.com/kewang.information/posts/1940647046211660
* jq:https://stedolan.github.io/jq
#mson #dsl #yaml #json #jq
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