Cost-Effective Solution of Grid Dispatch Problems Using a Novel Rao-4 Algorithm
Lecture Notes in Electrical Engineering, ISSN: 1876-1119, Vol: 1071 LNEE, Page: 3-19
2024
- 2Citations
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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.
Metrics Details
- Citations2
- Citation Indexes2
Conference Paper Description
One of the most pervasive challenges in the realm of energy systems is ensuring the economical operation of the systems that generate electric energy. To resolve the issue of grid dispatch, a novel approach known as the Rao-4 Optimization Algorithm is suggested in this piece of research. On the IEEE 30-bus test system, this approach is examined and evaluated for seven distinct cases. The valve-point impact and many additional difficulties have been taken into consideration, in addition to the conventional producing fuel cost. In addition, a variety of goals, including the strengthening of voltage stability, improvement of the voltage profile, and reduction of emissions, are taken into consideration. The results that are achieved are then contrasted with the results that are acquired utilizing several well-known optimization strategies. This comparison demonstrates how effective the Rao-4 approach is in solving a variety of grid dispatch problems, including those with complex and non-smooth objective functions.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85174450047&origin=inward; http://dx.doi.org/10.1007/978-981-99-4713-3_1; https://link.springer.com/10.1007/978-981-99-4713-3_1; https://dx.doi.org/10.1007/978-981-99-4713-3_1; https://link.springer.com/chapter/10.1007/978-981-99-4713-3_1
Springer Science and Business Media LLC
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