Find out how the new performance payments system can be gamed for profit and CAISO’s response to these claims.
The CAISO Market Surveillance Committee believes that there are market inefficiencies in the Californian Electricity Market.
This news follows the Federal Energy Regulatory Commission’s passing Order 755 which relates to payments made for controlling the security of the electricity market.
We found in a recent survey that peak solar power production in Amprion’s network has more than doubled since 2010.
Sizeable increases have been attributed to the attractive feed-in tariff scheme set up by the German government.
The German solar industry is supported by feed in tariffs paid to solar energy producers. Solar farm owners of less than 10MW in size are paid handsomely for every kWh of energy they produce.
[..] I have a fancy now: to have applications like this one [...] available for members interested
At the 44th CIGRE Paris this year, there are over 6000 engineers attending to see 444 paper presentations held in 4 rooms concurrently.
But CIGRE isn’t just about the presentations, its a time to duck out mid- session and take your loved one for a coffee, a time to meet with someone just like you that works in the same job in another country.
If you are an electrical engineer, and want to know how to use Python to get data from the Internet and display it, this post is for you.
This is the final part of a four part series. By the end we’ll have written a Python script to display a chart of electricity market prices.
Previously I mentioned that the Australian electricity prices have gone through the roof (more than doubling) since the introduction of the carbon tax.
If you are an electrical engineer, and want to know how to use Python to get data from the Internet and display it, this post is for you.
(This is the third part of a four part series. By the end we’ll have written a Python script to display a chart of electricity market prices. Enter your email → on the right so that you don’t miss the final post.)
Previously I mentioned that the Australian electricity prices have gone through the roof (more than doubling) since the introduction of the carbon tax.
Just what went wrong yesterday in Alberta to cause rolling blackouts and electricity prices that were 50 times higher than normal?
If you are an electrical engineer, and want to know how to use Python to get data from the internet and display it, this post is for you.
(This is the second part of a series. By the end we’ll have written a Python script to display a chart of electricity market prices.
Previously I mentioned that the electricity prices have gone through the roof (more than doubled) post introduction of the carbon tax in Australia.
We’re using these high prices as an excuse to learn how to download and display price data from the internet. This code will work wherever you are in the world.
Last time, we downloaded a zipped file filled with electricity prices from the energy market operator’s website (read about it here if you want to catch up). Here is the final code from that post:
If you are an electrical engineer, and want to know how to use Python to get data from the internet and display it, this post is for you.
(This is the first part of a series. By the end we’ll have written a Python script to display a chart of electricity market prices.
Since the carbon tax was introduced in Australia, the spot price for electricity has been very high. From $22 / MWh last month to over $50 / MWh so far (see the chart below). Whether this is a long term change, or just a temporary reaction, we don’t know. Instead of considering the complexities of market forces, we’re going to show you step by step exactly how to build your own Python program to display electricity prices, using Australia as an example.
Graphics, when used correctly, can be the difference between an outstanding report and simply another piece of paper going around the office. The only thing more professional than a nice graphic, is a graphic that is automatically generated.
Exporting plots from the PSSE graphical interface can be a laborious task, with little flexibility in the final result. If you are running PSSE from Python, you have the option of looking beyond PSSE for tools to render your data.
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| Sri Lanka's demand for electricity is growing quickly |
Sri Lanka’s peak electricity demand of 2000 MW is growing at a rapid 5%-8% every year.
To keep pace with the increase, the Ceylon Electricity Board (CEB) have developed a clever plan. Over the next 10 years, over 400 MW of mini hydro and wind farms will be installed. It is anticipated the additional generation will meet the increased demand levels and reduce Sri Lanka’s dependance on foreign fossil fuel sources, such as coal, natural gas and petroleum.
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