Measuring environmental performance of power dispatch influenced by low-carbon approaches

Jingliang Jin, Qinglan Wen, Liya Zhao, Chaoyang Zhou and Xiaojun Guo

Renewable Energy, 2023, vol. 209, issue C, 325-339

Abstract: Wind power integration and carbon reduction cooperation, as low-carbon approaches, are introduced into the current power dispatching process under carbon reduction requirements. In order to measure the environmental performance of power dispatch influenced by the above approaches, this paper firstly presents a low-carbon power dispatch model for wind power integrated system imported with carbon reduction cooperation. Next, the methods related to wind speed prediction, optimization algorithm and efficiency evaluation are fully discussed. Finally, empirical analysis shows that: (1) the overall effect of ARIMA-NARX model is superior to that of ARIMA model for wind speed prediction, whose MSE is reduced by 79.73%, (2) compared with GA and PSO, GA-PSO has better effect of optimization, which can effectively jump out of the local optimal value, and its convergence speed keeps improving, (3) the two low-carbon approaches can facilitate the achievement of system carbon reduction targets with good environmental performance of power dispatch, and (4) low-carbon power dispatching strategies taking full account of these two approaches are developed, which proves to be of reliability, economy and environment.

Keywords: Low-carbon power dispatch; Wind power integration; Carbon reduction cooperation; Environmental performance (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:209:y:2023:i:c:p:325-339

DOI: 10.1016/j.renene.2023.04.024

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