Case Study: Storage Control for LV Applications
Lecture Notes in Energy, ISSN: 2195-1292, Vol: 85, Page: 149-178
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Book Chapter Description
This chapter demonstrates how to implement the different type of optimal controllers for low voltage distribution network applications. It will also show how to utilise the load forecasts and how they effect the performance of the control. The examples illustrated here will extend those in this chapter, integrating the forecasts generated in that section into the control methods or from the literature. The case studies will demonstrate how to properly implement the control as well as the many challenges that can be generated when designing a control system for energy storage systems (ESS). The typical low voltage distribution networks is quite different from the and the RTG crane networks application, as will be presented in this chapter. Where low voltage applications consist of lower numbers of appliances and consumers the demand data is typically more volatile with higher uncertainty, making designing the control model less trivial than for higher voltage applications.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85146576562&origin=inward; http://dx.doi.org/10.1007/978-3-030-82848-6_6; https://link.springer.com/10.1007/978-3-030-82848-6_6; https://dx.doi.org/10.1007/978-3-030-82848-6_6; https://link.springer.com/chapter/10.1007/978-3-030-82848-6_6
Springer Science and Business Media LLC
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