Abstract
The high-quality development of the economy and society is inseparable from the support of electricity. Since the beginning of the twenty-first century, with the rapid development of the global economy, the demand for electricity has also increased, and the shortage of traditional energy has become increasingly prominent. In the context of the global implementation of the sustainable development strategy, countries including China have actively optimized and adjusted the energy structure and focused on the development of low-carbon, clean, green, and sustainable energy. Under the constraint of the “double carbon” goal, power enterprises timely adjust their development strategies and integrate distributed clean energy, such as wind and solar energy, into the grid on a large scale, gradually forming a new power system with new energy as the main body nationwide. On the other hand, electric power enterprises actively responded to the call of the “digital economy” policy proposed in the 14th five-year-plan, establishing the State Grid big data center, so as to accelerate the digital transformation of power grid by improving the intellectual level of power systems at the same time.
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Wu, D., Zhang, J., Fan, J., Tang, D. (2023). Introduction. In: Performance Optimization of Fault Diagnosis Methods for Power Systems. Engineering Applications of Computational Methods, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-19-4578-6_1
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DOI: https://doi.org/10.1007/978-981-19-4578-6_1
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