电气传动2025，Vol.55Issue(9)：44-51,60,9.DOI:10.19457/j.1001-2095.dqcd26289
含风储电力系统全生命周期碳排放评估算法改进
Improvement of Carbon Emission Assessment Algorithm for the Full Life Cycle of Wind Storage Power System
摘要
Abstract
Compared to partial life cycle assessment,the full life cycle assessment is more complex and uncertain,with the difficulty of comprehensively considering carbon emissions and their multiple influencing factors at each stage,resulting in fuzzy assessment boundaries and dynamic repetition of the process.To this end,it is necessary to set clear system boundaries and dynamically adjust them according to reality.Therefore,an improved algorithm for assessing carbon emissions throughout the full life cycle of wind storage power systems was proposed.On the basis of determining the system boundary for the full life cycle carbon emission assessment of wind storage power systems,carbon emission factors were considered for carbon emission calculation,and carbon emission data from various stages were comprehensively considered to establish an evaluation function.This function can be used for backpropagation of BP evaluation algorithm,which automatically adjusts the network structure and weights to clarify the evaluation boundary and improve the accuracy of prediction results.The experimental results show that the proposed improved algorithm can control the error of carbon emission assessment results within 3 kg,and can accurately conduct the full life cycle carbon emission assessment of wind storage power systems.关键词
含风储电力系统/全生命周期/碳排放评估/碳排放因子/BP神经网络Key words
including wind storage power system/full life cycle/carbon emission assessment/carbon emission factor/BP neural network分类
信息技术与安全科学引用本文复制引用
毛放,缪新招,梁倩园,唐方闻..含风储电力系统全生命周期碳排放评估算法改进[J].电气传动,2025,55(9):44-51,60,9.基金项目
广东电网有限责任公司科技项目(2020GX21620) （2020GX21620）
