1.四川大学电气工程学院,四川省成都市 610065
2.智慧城市物联网全国重点实验室(澳门大学),澳门 999078
3.清华大学低碳能源实验室,北京市 100084
王杨(1990—),男,博士,研究员,博士生导师,主要研究方向:电能质量、新能源并网、电力系统广域监测与控制。E-mail:fwang@scu.edu.cn
张皓南(2003—),男,硕士研究生,主要研究方向:光热发电优化规划与优化运行。E-mail:zhnscu@stu.scu.edu.cn
关智文(2001—),男,硕士研究生,主要研究方向:新能源发电系统建模与应用。E-mail:3130621374@qq.com
姚凌翔(1997—),男,通信作者,博士,主要研究方向:新能源发电系统建模及应用、光热动态建模。E-mail:1659399022@qq.com
收稿:2025-12-09,
修回:2026-04-20,
网络首发:2026-09-30,
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王杨,张皓南,关智文等.计及CCER-绿证收益的风光热储新能源基地容量优化配置[J/OL].电力系统自动化, http://dx.doi.org/10.7500/AEPS20251209007.
WANG Yang,ZHANG Haonan,GUAN Zhiwen,et al.Optimal Capacity Allocation of Wind-Photovoltaic-Thermal-Storage Renewable Energy Base Considering China Certified Emission Reduction-Green Certificate Revenue[J/OL].Automation of Electric Power Systems, http://dx.doi.org/10.7500/AEPS20251209007.
王杨,张皓南,关智文等.计及CCER-绿证收益的风光热储新能源基地容量优化配置[J/OL].电力系统自动化, http://dx.doi.org/10.7500/AEPS20251209007. DOI:
WANG Yang,ZHANG Haonan,GUAN Zhiwen,et al.Optimal Capacity Allocation of Wind-Photovoltaic-Thermal-Storage Renewable Energy Base Considering China Certified Emission Reduction-Green Certificate Revenue[J/OL].Automation of Electric Power Systems, http://dx.doi.org/10.7500/AEPS20251209007. DOI:
双碳目标下,沙戈荒地区新能源基地风光热储容量的合理配置对实现高比例新能源消纳与稳定外送至关重要。文中提出一种计及国家核证自愿减排量(China certified emission reduction
CCER)与绿证双重环境价值收益的风光热储新能源基地容量优化配置方法。建立了风光热储新能源基地模型以及特高压直流外送曲线优化模型,为优化配置提供模型基础与边界条件;建立了计及动态电量边际排放因子的CCER收益模型,进而构建融合光热CCER收益与风光绿证收益的双层优化配置模型。上层以全生命周期年化综合成本最小为目标,决策风光热储容量;下层以年运行净成本为目标,优化基地运行策略。基于中国新疆吐鲁番鄯善县某沙戈荒地区新能源基地进行算例分析,验证了风光热储配置方案的技术经济优越性与所提方法的有效性,并开展敏感性分析揭示了CCER-绿证价格、太阳能倍数对容量优化配置结果的影响。结果表明,与纯风光储方案相比,引入光热发电使年化综合成本降低33.20%、总装机容量下降57.74%;计及CCER-绿证收益后年化综合成本降低3.92亿元,且CCER价格在特定阈值处会导致容量配置方案发生突变,有必要将CCER-绿证收益纳入基地容量优化配置考量。
Under the dual carbon goals
the rational capacity allocation of wind-photovoltaic-thermal-storage renewable energy base in Gobi Desert and other arid areas is crucial for achieving high-proportion renewable energy accommodation and stable transmission. This paper proposes an optimal capacity allocation method of wind-photovoltaic-thermal-storage renewable energy base
taking into account the dual environmental value benefits of China certified emission reduction (CCER) and green certificates. A model for wind-photovoltaic-thermal-storage renewable energy bases and an optimal model for ultra high voltage DC transmission curves are established to provide a model foundation and boundary conditions for optimal allocation. A CCER benefit model considering dynamic marginal emission factors of electricity is established
and a bi-level optimal allocation model integrating solar power CCER benefits and wind-photovoltaic green certificate benefits is further constructed. The upper level aims to minimize the annualized comprehensive cost over the full life cycle
deciding on the capacity of wind-photovoltaic-thermal-storage
while the lower level optimizes the base operation strategy with the annual net operating cost as the objective. Based on a case study of a renewable energy base in Gobi Desert and other arid areas
Shanshan County
Turpan
Xinjiang
China
the technical and economic superiority of the allocation scheme of wind-photovoltaic-thermal-storage and the effectiveness of the proposed method are verified. A sensitivity analysis is conducted to reveal the impact of CCER-green certificate prices and solar multiple on the optimal capacity allocation results. The results show that compared to a wind-photovoltaic-storage scheme
the introduction of solar power generation reduces the annualized comprehensive cost by 33.20% and the total installed capacity by 57.74%. After considering CCER-green certificate benefits
the annualized comprehensive cost decreases by 392 million yuan
and the CCER price at a specific threshold can lead to a sudden change in the capacity allocation scheme. It is necessary to incorporate CCER-green certificate benefits into the optimal capacity allocation of the base.
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