考虑风电与负荷波动性的电力系统碳排放责任核算分摊模型OA
Carbon emission responsibility accounting and allocation model for power systems considering wind power and load volatility
根据间接碳排放"谁引起,谁承担"的原则,若由风电与负荷波动引起系统总碳排放量变化,则应由其自身承担此部分碳责任或者享有此部分减碳收益.因此,文中提出一种考虑风电与负荷波动性的碳排放责任核算分摊模型.首先,基于煤耗曲线计算煤电机组时变碳排放强度.其次,构建考虑煤电机组深度调峰的日前调度模型.然后,构造无调峰需求的替代场景以等效风电的能源价值及负荷总用电量需求,构造风电与负荷有调峰需求的波动场景以折算边际波动碳排放;求解相应调度模型后,得到各场景的总碳排放量.最后,应用碳排放流理论,按一定比例在发用电侧双向分摊替代场景下的碳排放责任,并采用 Shapley值在风电场与负荷之间分摊波动碳排放量.算例分析表明,所提方法能够明确碳排放责任主体,有效折算并分摊风电与负荷波动引起的碳排放量变化,同时减轻调峰机组的碳排放压力;在未来碳市场逐步完善时,可调动调峰机组调峰的积极性,且不会对风电场造成过重的"碳负担".
From the"whoever causes,whoever bears"principle for indirect carbon emission,if wind power and load volatility cause the change of the total carbon emission of the system,they should allocate the carbon responsibility or enjoy the carbon reduction benefit.Therefore,a carbon emission responsibility accounting and allocation model considering wind power and load volatility is proposed in this paper.Firstly,the time-varying carbon emission intensity of coal power units is calculated based on the coal consumption curve.Secondly,a day-ahead scheduling model is constructed to consider the deep peak regulation of coal power units.Then,an alternative scenario without peaking demand is constructed to equate the energy value of wind power and the total electricity demand of loads;a fluctuating scenario with peaking requirements induced by wind power and loads is constructed to calculate the marginal volatility carbon emission.The total carbon emission of corresponding scenarios is obtained by solving the corresponding scheduling model.Finally,the carbon emission flow theory is applied to allocate the responsibility of carbon emission under alternative scenarios in both directions on the power generation and consumption side according to a certain ratio.Shapley value is used to allocate the volatility carbon emissions between wind farms and loads.Case studies show that the proposed methodology clarifies the main body responsible for carbon emissions;effectively discounts and allocates the variation of carbon emissions caused by wind power and load volatility;reduces the pressure on carbon emissions of the peaking units,and mobilizes their motivation for peaking when the carbon market is gradually improved in the future;and avoids imposing an excessive"carbon burden"on wind farms.
汪愉康;夏成军;刘育成;刘译夫;李嵩
华南理工大学电力学院,广东 广州 510641||广东省新能源电力系统智能运行与控制企业重点实验室,广东 广州 510663华南理工大学电力学院,广东 广州 510641||广东省新能源电力系统智能运行与控制企业重点实验室,广东 广州 510663华南理工大学电力学院,广东 广州 510641||广东省新能源电力系统智能运行与控制企业重点实验室,广东 广州 510663华南理工大学电力学院,广东 广州 510641||广东省新能源电力系统智能运行与控制企业重点实验室,广东 广州 510663华南理工大学电力学院,广东 广州 510641||广东省新能源电力系统智能运行与控制企业重点实验室,广东 广州 510663
信息技术与安全科学
碳排放责任Shapley值碳排放流理论波动性碳排放核算调峰
carbon emission responsibilityShapley valuecarbon emission flow theoryvolatilitycarbon emission accountingpeak regulation
《电力工程技术》 2026 (8)
1-13,13
国家重点研发计划资助项目(2022YFB2403500)
评论