{"id":7099,"date":"2022-06-16T15:00:06","date_gmt":"2022-06-16T08:00:06","guid":{"rendered":"https:\/\/pc1epc.vn\/?p=7099"},"modified":"2022-11-23T15:57:30","modified_gmt":"2022-11-23T08:57:30","slug":"technology-trends-in-forecasting-renewable-energy-generation","status":"publish","type":"post","link":"https:\/\/pc1epc.vn\/en\/technology-trends-in-forecasting-renewable-energy-generation","title":{"rendered":"Technology trends in forecasting renewable energy generation"},"content":{"rendered":"\n\n
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Renewable energy forecasting is critical for integrating variable renewa\u00adb\u00adle energy resources like wind and so\u00adlar power into the grid. Wind and solar power are heavily dependent on weather conditions, and thus their energy generation pa\u00adtt\u00aderns are quite erratic. This creates problems not only for grid operators who must account for these frequent fluctuations in their load management schedul\u00ades, but also for power generators who ha\u00adve to pay hefty charges for deviation from scheduled energy generation.<\/span><\/p>\n

Accurate renewable energy forecasts help generators plan their operations better. Me\u00adan\u00adwhile, for grid operators, forecasts help them predict the ramp up and down in generation and they can then manage load accordingly. This helps in reducing fuel costs, improving system reliability, and minimising energy curtailment.<\/span><\/p>\n

For a particular region or state, renewable energy forecasting can be carried out in a centralised as well as a decentralised ma\u00ad\u00adnner. Many in the industry believe that cen\u00adtralised forecasting is more suitable for ensuring overall grid stability as it provides energy forecasts for all the projects in a specific region. Meanwhile, decentra\u00adli\u00adsed forecasts provide only plant-level in\u00adformation. Thus, for grid operators, cen\u00adtra\u00adlised forecasts would offer better consistency owing to the use of a single technique as well as less uncertainty. How\u00adev\u00ader, even in centralised forecasts, it is vital to use a mix of techniques to improve ac\u00adcuracy and prevent errors.<\/span><\/p>\n

Key challenges and the way forward<\/strong><\/span><\/p>\n

With the increasing penetration of variable renewable energy into the grid, it is be\u00adcoming quite critical to incorporate ad\u00ad\u00advanced forecasting and scheduling techniques to ensure grid stability. How\u00adever, there are still many issues that need to be addressed before proper forecasting tools can be deployed. First, there re\u00admains some level of uncertainty in ac\u00adcurate weather forecasting that needs to be taken care of as solar and wind energy generation have a significant dependence on the weather.<\/span><\/p>\n

Second, refined regulatory frameworks must be designed that take grid balancing and ancillary services into consideration. Third, grid operators and manpower need to be trained regularly regarding the latest developments in this space and more efforts need to be diverted towards incorporating advanced AI tools for forecasting. Finally, with large volumes of distributed renewable energy assets and electric vehicles being connected to the grid, forecasting and course correction in real time with advanced tools and techniques is playing a vital role in stable grid operations.<\/span><\/p>\n

*Summarized from ReGlobal.co<\/span><\/p>\n

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