Yanhe Yin

1. Introduction Constructing a new energy system is the inevitable path for China to move towards a green and sustainable future. It is crucial to achieving the “dual-carbon” goals and promoting ecological civilization [1]. In 2023, China’s installed capacity for renewable energy generation historically surpassed that of thermal power.

4. Case Study In this section, the proposed load model parameter identification method based on QPSO-ELM is validated using a standard system implemented in PSASP software. The standard system employed is the infinite system equipped with the generalized SLM, as illustrated in Figure 1. To address the substantial differences in load model parameter values, the outputs of the QPSO-ELM algorithm are normalized using the maximum and minimum normalization method.

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Yanhe Yin 1, Baojun Xu 1,*, Yi Zhong 1, Tao Bao 2 and Pengyu Wang 2 1 Zhongshan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Zhongshan 528400, China 2 Digital Grid Research Institute, China Southern Power Grid, Guangzhou 510663, China * Author to whom correspondence should be addressed. World Electr. Veh. J.