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学者姓名：陈飞雄
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Abstract ：
The energy sector contributes significantly to carbon dioxide emissions, and speeding up the shift to a low-carbon power system is essential for tackling global warming. This paper introduces a method for low-carbon economic scheduling that considers the marginal carbon emission factor to improve carbon reduction. First, the marginal carbon emission factor encourages users to adjust their energy plans. A demand response model for pre-scheduling and rescheduling within the grid is developed using price-based strategies. Second, a two-stage model is created to optimize low-carbon scheduling and minimize overall system costs. The method's effectiveness is demonstrated using the IEEE39-node grid.
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| GB/T 7714 | Su, Weiqi , Chen, Feixiong , Shao, Zhenguo et al. A low-carbon economic scheduling of power systems considering marginal carbon emission factor [J]. | 2024 3RD INTERNATIONAL CONFERENCE ON ENERGY INTERNET AND POWER SYSTEMS, ICEIPS 2024 , 2025 , 2935 . |
| MLA | Su, Weiqi et al. "A low-carbon economic scheduling of power systems considering marginal carbon emission factor" . | 2024 3RD INTERNATIONAL CONFERENCE ON ENERGY INTERNET AND POWER SYSTEMS, ICEIPS 2024 2935 (2025) . |
| APA | Su, Weiqi , Chen, Feixiong , Shao, Zhenguo , Huang, Tianhao , Wu, Hongbin . A low-carbon economic scheduling of power systems considering marginal carbon emission factor . | 2024 3RD INTERNATIONAL CONFERENCE ON ENERGY INTERNET AND POWER SYSTEMS, ICEIPS 2024 , 2025 , 2935 . |
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The electricity-gas interconnection system plays an important role in enhancing energy efficiency and promoting cleaner energy utilization. As the impact of source-load uncertainty on electricity-gas transmission grows, it is crucial to quantitatively analyze the dynamic energy flow in this interconnected system under uncertainty. This study introduces an affine dynamic energy flow algorithm for the electricity-gas interconnection system based on time-domain embedded. Initially, an affine dynamic energy flow model is established based on uncertainties characterized by affine arithmetic. By embedding the time domain, the affine differential equations are transformed into a recursive computational problem, providing an explicit expression of the affine energy flow concerning time. To address the challenge of noise element superposition in multi-temporal computations and enhance efficiency, a method based on dynamic noise element correction is proposed. This technique yields the distribution of affine dynamic energy flow in continuous time. Simulation results validate the algorithm's ability to quantitatively analyze the transfer of source-load uncertainty over time, showcasing its high accuracy, low conservatism, and computational efficiency. ©2025 Chin.Soc.for Elec.Eng.
Keyword ：
affine arithmetic affine arithmetic dynamic power flow computation dynamic power flow computation electricity-gas interconnection system electricity-gas interconnection system holomorphic embedding method holomorphic embedding method
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| GB/T 7714 | Chen, F. , Zhang, H. , Shao, Z. et al. Affine Dynamic Power Flow Algorithm for Electricity-gas Interconnected Systems Based on Time-domain Embedded; [基于时域嵌入的电-气互联系统仿射动态能流算法] [J]. | Proceedings of the Chinese Society of Electrical Engineering , 2025 , 45 (7) : 2594-2604 . |
| MLA | Chen, F. et al. "Affine Dynamic Power Flow Algorithm for Electricity-gas Interconnected Systems Based on Time-domain Embedded; [基于时域嵌入的电-气互联系统仿射动态能流算法]" . | Proceedings of the Chinese Society of Electrical Engineering 45 . 7 (2025) : 2594-2604 . |
| APA | Chen, F. , Zhang, H. , Shao, Z. , Wu, H. , Hu, K. . Affine Dynamic Power Flow Algorithm for Electricity-gas Interconnected Systems Based on Time-domain Embedded; [基于时域嵌入的电-气互联系统仿射动态能流算法] . | Proceedings of the Chinese Society of Electrical Engineering , 2025 , 45 (7) , 2594-2604 . |
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To improve the stable operation and promote the energy sharing of the integrated energy system (IES), a comprehensive energy trading strategy considering uncertainty is proposed. Firstly, an IES model incorporating power-to-gas (P2G) and a carbon capture system (CCS) is established to reduce carbon emissions. Secondly, this model is integrated into a four-level robust optimization to address the fluctuation of renewable energy sources in IES operations. This not only considers probability distribution scenarios of renewable energy and the uncertainty of its output, but also effectively reduces the model's conservatism by constructing a multi-interval uncertainty set. On this basis, a Nash-Harsanyi bargaining method is used to solve the issue of benefit allocation among multiple IESs. Finally, the energy trading model is solved using a distributed algorithm that ensures an equitable distribution of benefits while protecting the privacy of each IES. The simulation results validate the effectiveness of the proposed strategy.
Keyword ：
distributed algorithm distributed algorithm four-level robust optimization four-level robust optimization integrated energy system (IES) integrated energy system (IES) Nash-Harsanyi bargaining Nash-Harsanyi bargaining
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| GB/T 7714 | Gao, Jin , Shao, Zhenguo , Chen, Feixiong et al. Energy Trading Strategies for Integrated Energy Systems Considering Uncertainty [J]. | ENERGIES , 2025 , 18 (4) . |
| MLA | Gao, Jin et al. "Energy Trading Strategies for Integrated Energy Systems Considering Uncertainty" . | ENERGIES 18 . 4 (2025) . |
| APA | Gao, Jin , Shao, Zhenguo , Chen, Feixiong , Lak, Mohammadreza . Energy Trading Strategies for Integrated Energy Systems Considering Uncertainty . | ENERGIES , 2025 , 18 (4) . |
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With the continuous advancement of new power system construction，the impact of uncertainty is becoming increasingly prominent. Consequently，it is urgent to enhance the flexibility of new power systems to respond to fluctuations in source load power and ensure the safe and stable operation of the system. To this end，this paper reviews methods for improving the flexibility of new power systems considering distributed resources. Firstly，based on the inherent characteristics of the new power system，the challenges and technical bottlenecks in improving the flexibility of the new power system are analyzed. Secondly，following the historical-current-future timeline，this paper summarizes the flexibility improvement paths of the new power system from three perspectives：flexibility quantification evaluation，flexibility optimization scheduling，and flexibility configuration planning. Finally，the key challenges in enhancing the flexibility of new power systems are summarized from the three aforementioned aspects. © 2025 Editorial Department of Electric Power Engineering Technology. All rights reserved.
Keyword ：
distributed resources distributed resources flexibility optimization scheduling flexibility optimization scheduling flexibility quantitative evaluation flexibility quantitative evaluation flexible configuration planning flexible configuration planning improved flexibility improved flexibility new power systems new power systems
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| GB/T 7714 | Chen, Z. , Li, W. , Chen, F. et al. Summary of research on improving the flexibility of new power systems with distributed resources; [分 布 式 资 源 助 力 新 型 电 力 系 统 灵 活 性 提 升 研 究 综 述] [J]. | Electric Power Engineering Technology , 2025 , 44 (2) : 145-159 . |
| MLA | Chen, Z. et al. "Summary of research on improving the flexibility of new power systems with distributed resources; [分 布 式 资 源 助 力 新 型 电 力 系 统 灵 活 性 提 升 研 究 综 述]" . | Electric Power Engineering Technology 44 . 2 (2025) : 145-159 . |
| APA | Chen, Z. , Li, W. , Chen, F. , Huang, M. , Wang, F. , Zhang, D. . Summary of research on improving the flexibility of new power systems with distributed resources; [分 布 式 资 源 助 力 新 型 电 力 系 统 灵 活 性 提 升 研 究 综 述] . | Electric Power Engineering Technology , 2025 , 44 (2) , 145-159 . |
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"风电场+储能"配套建设的新模式逐渐成为主流,面对高比例风储系统接入的新型电力系统,提出一种计及需求响应的风储集群电力系统多时间尺度优化调度策略.首先,日前长时间尺度阶段通过价格型需求响应调整用户负荷功率,以净负荷功率波动和运行成本最小为目标,求得实施价格型需求响应后的负荷曲线;其次,在日内短时间尺度阶段实施激励型需求响应并调度风储集群系统,以电力系统总运行成本最低为目标,考虑风储集群系统的有功功率变化最大限值约束,制定电力系统日内调度计划;最后,以改进的IEEE39节点系统作为算例,验证所提策略能够减少风储集群系统的弃风电量,降低其并网功率波动.
Keyword ：
多时间尺度调度 多时间尺度调度 电池储能系统 电池储能系统 需求响应 需求响应 风电功率平抑 风电功率平抑 风电并网 风电并网
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| GB/T 7714 | 彭伟鹏 , 邵振国 , 陈飞雄 et al. 计及需求响应的风储集群电力系统多时间尺度优化调度 [J]. | 太阳能学报 , 2025 , 46 (2) : 282-292 . |
| MLA | 彭伟鹏 et al. "计及需求响应的风储集群电力系统多时间尺度优化调度" . | 太阳能学报 46 . 2 (2025) : 282-292 . |
| APA | 彭伟鹏 , 邵振国 , 陈飞雄 , 张抒凌 , 高统彤 , 陈大玮 . 计及需求响应的风储集群电力系统多时间尺度优化调度 . | 太阳能学报 , 2025 , 46 (2) , 282-292 . |
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电-气互联系统是提高能源利用效率、实现能源清洁化利用的重要载体.在不确定性愈发复杂交错、影响日益增强的背景下,如何量化分析电-气动态传输过程中的不确定性传递成为亟待解决的问题.为此,提出基于时域嵌入的电-气互联系统仿射动态能流算法,揭示不确定因素对电-气互联系统动态过程的影响机理.首先,基于仿射算术表征不确定因素,构建电-气互联系统仿射动态能流模型;在此基础上,通过时域嵌入重构仿射微分方程组,将仿射微分方程组求解问题转换为能流状态量泰勒幂级数系数递归计算问题,进而递归求解得到仿射能流关于时间的显式表达式;接着,为提升计算效率并降低保守性,提出基于噪声元动态校正的多时段计算方法,获取连续时域的仿射动态能流分布.仿真结果验证所提算法能够从时间维度量化分析源荷不确定性的传递影响,具有精度高、保守度低与计算效率高等优势.
Keyword ：
仿射算术 仿射算术 全纯嵌入法 全纯嵌入法 动态能流计算 动态能流计算 电-气互联系统 电-气互联系统
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| GB/T 7714 | 陈飞雄 , 张河 , 邵振国 et al. 基于时域嵌入的电-气互联系统仿射动态能流算法 [J]. | 中国电机工程学报 , 2025 , 45 (7) : 2594-2604,中插12 . |
| MLA | 陈飞雄 et al. "基于时域嵌入的电-气互联系统仿射动态能流算法" . | 中国电机工程学报 45 . 7 (2025) : 2594-2604,中插12 . |
| APA | 陈飞雄 , 张河 , 邵振国 , 吴鸿斌 , 胡昆熹 . 基于时域嵌入的电-气互联系统仿射动态能流算法 . | 中国电机工程学报 , 2025 , 45 (7) , 2594-2604,中插12 . |
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现有仿射潮流方法计算所得潮流解仅能反映某一源荷功率区间范围下的系统潮流分布,难以满足多场景不确定性分析的在线计算需求.针对上述问题,提出一种电力系统仿射潮流多场景不确定性分析方法.该方法采用多个具有不同物理意义的全纯嵌入变量,缩放仿射注入功率的中心值和噪声元系数,以此追踪和描述不确定性注入功率的区间变化,将仿射潮流的解析维度由一维拓展至高维.仿射潮流计算可划分为仿射型潮流解析表达式求解和在线计算2部分,以递归的方式求解仿射状态量的各阶多元幂级数系数,获取仿射型潮流解析表达式,进而通过代入嵌入变量目标值实现具体场景下的仿射潮流在线计算.仿真结果验证了所提方法在收敛性、保守性和多场景分析效率等方面的优势.
Keyword ：
不确定性 不确定性 仿射潮流 仿射潮流 多场景分析 多场景分析 多维全纯嵌入 多维全纯嵌入
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| GB/T 7714 | 陈飞雄 , 吴鸿斌 , 邵振国 et al. 电力系统仿射潮流多场景不确定性分析方法 [J]. | 电网技术 , 2025 , 49 (1) : 252-262,中插87-中插91 . |
| MLA | 陈飞雄 et al. "电力系统仿射潮流多场景不确定性分析方法" . | 电网技术 49 . 1 (2025) : 252-262,中插87-中插91 . |
| APA | 陈飞雄 , 吴鸿斌 , 邵振国 , 李壹民 , 张河 , 苏炜琦 . 电力系统仿射潮流多场景不确定性分析方法 . | 电网技术 , 2025 , 49 (1) , 252-262,中插87-中插91 . |
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An enormous challenge for the harmonic state estimation of distribution networks is how to perceive the complex and varied dynamic harmonics in a higher resolution method. To solve this problem, this article proposes an interval dynamic harmonic high-resolution state estimation method for distribution networks based on multisource measurement data fusion. First, to obtain the typical high-resolution harmonic measurement information of distribution networks under the limited measurement devices, a selection method for the measurement sites of high-resolution power quality monitoring devices (PQMDs) is proposed based on the harmonic electrical distance. On this basis, a multisource data fusion method based on the time period inclusion index is proposed to establish hybrid interval measurement datasets. Second, to improve the efficiency of interval dynamic harmonic state estimation, the interval intermediate variables are introduced to construct the three-stage hybrid interval harmonic measurement equations. Finally, an interval dynamic harmonic high-resolution state estimation method is proposed based on the predictor-corrector method, the IGG-III robust interval Kalman filter (IGGIII-RIKF) is used as the predictor stage, and the forward-backward interval constraint propagation (FBICP) algorithm is used as the corrector stage to realize interval dynamic harmonic high-resolution state estimation. The effectiveness and feasibility of the proposed method have been demonstrated on the IEEE 33-bus system and the IEEE 118-bus system.
Keyword ：
Current measurement Current measurement Dynamic harmonic state estimation Dynamic harmonic state estimation Electric variables measurement Electric variables measurement Harmonic analysis Harmonic analysis high-resolution high-resolution interval approach interval approach Measurement uncertainty Measurement uncertainty multisource measurement data fusion multisource measurement data fusion Phasor measurement units Phasor measurement units Power measurement Power measurement power quality power quality Power system dynamics Power system dynamics Power system harmonics Power system harmonics State estimation State estimation Time measurement Time measurement
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| GB/T 7714 | Zhu, Tiechao , Shao, Zhenguo , Lin, Junjie et al. Interval Dynamic Harmonic High-Resolution State Estimation for Distribution Networks Based on Multisource Measurement Data Fusion [J]. | IEEE SENSORS JOURNAL , 2025 , 25 (4) : 6682-6697 . |
| MLA | Zhu, Tiechao et al. "Interval Dynamic Harmonic High-Resolution State Estimation for Distribution Networks Based on Multisource Measurement Data Fusion" . | IEEE SENSORS JOURNAL 25 . 4 (2025) : 6682-6697 . |
| APA | Zhu, Tiechao , Shao, Zhenguo , Lin, Junjie , Zhang, Yan , Chen, Feixiong . Interval Dynamic Harmonic High-Resolution State Estimation for Distribution Networks Based on Multisource Measurement Data Fusion . | IEEE SENSORS JOURNAL , 2025 , 25 (4) , 6682-6697 . |
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Nowadays, integrated energy systems (IESs) have become an influential approach in the backdrop of energy interconnection and low-carbon energy concepts. This paper proposes a multi-energy trading strategy for IESs that simultaneously considers carbon emissions transaction (CET) and tradable green certificate (TGC) to promote low-carbon energy development further. Firstly, a multi-stage robust optimization method addresses uncertainties in renewable energy, loads, and electricity prices to ensure stable operation of the IES. Secondly, a trading mechanism is proposed by integrating CET with TGC to establish a coupled electricity-heat-carbon- green certificate market. Accordingly, a cooperative game framework among multiple IESs is modeled, which considers different contribution allocations while promoting the economic and low-carbon operation of IES. Finally, the model is solved using the alternating direction method of multipliers (ADMM) algorithm. The proposed strategy's effectiveness in improving the low-carbon economic operation of IESs has been proved through simulation studies.
Keyword ：
Carbon emissions transaction (CET) Carbon emissions transaction (CET) Contribution allocations Contribution allocations Integrated energy systems (IESs) Integrated energy systems (IESs) Multi-stage robust optimization Multi-stage robust optimization Tradable green certificate (TGC) Tradable green certificate (TGC)
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| GB/T 7714 | Gao, Jin , Shao, Zhenguo , Chen, Feixiong et al. Multi-energy trading strategies for integrated energy systems based on low-carbon and green certificate [J]. | ELECTRIC POWER SYSTEMS RESEARCH , 2025 , 238 . |
| MLA | Gao, Jin et al. "Multi-energy trading strategies for integrated energy systems based on low-carbon and green certificate" . | ELECTRIC POWER SYSTEMS RESEARCH 238 (2025) . |
| APA | Gao, Jin , Shao, Zhenguo , Chen, Feixiong , Lak, Mohammadreza . Multi-energy trading strategies for integrated energy systems based on low-carbon and green certificate . | ELECTRIC POWER SYSTEMS RESEARCH , 2025 , 238 . |
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The new mode of“wind farm+energy storage”has gradually become the mainstream. Facing the new power system with high proportion of wind storage system connected to grid，a multi-timescale optimal scheduling strategy of wind-storage cluster power system with demand response is proposed. Firstly，in the day-ahead long time scale stage，the user load power is adjusted by price based demand response，and the day-ahead scheduling plan and optimized load curve are obtained with the goal of minimizing the net load power fluctuation and operating cost. Secondly，in the intra-day short time scale stage，the incentive demand response and wind-storage systems are scheduled on the basis of the optimized load power. With the goal of minimizing the total dispatching cost of the power system，the daily scheduling plan of the power system is formulated considering the maximum limit of the active power change of the wind-storage cluster system. Finally，the improved IEEE39-node system is taken as an example to verify the proposed strategy. As the results，the proposed strategy can reduce the curtailment power and grid-connected power fluctuation of wind-storage cluster system. © 2025 Science Press. All rights reserved.
Keyword ：
battery energy storage system battery energy storage system demand response demand response multi-time scale scheduling multi-time scale scheduling wind power fluctuation flattening wind power fluctuation flattening wind power integration wind power integration
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| GB/T 7714 | Peng, W. , Shao, Z. , Chen, F. et al. MULTI-TIMESCALE OPTIMAL SCHEDULING OF WIND-STORAGE CLUSTER POWER SYSTEM WITH DEMAND RESPONSE; [计及需求响应的风储集群电力系统多时间尺度优化调度] [J]. | Acta Energiae Solaris Sinica , 2025 , 46 (2) : 282-292 . |
| MLA | Peng, W. et al. "MULTI-TIMESCALE OPTIMAL SCHEDULING OF WIND-STORAGE CLUSTER POWER SYSTEM WITH DEMAND RESPONSE; [计及需求响应的风储集群电力系统多时间尺度优化调度]" . | Acta Energiae Solaris Sinica 46 . 2 (2025) : 282-292 . |
| APA | Peng, W. , Shao, Z. , Chen, F. , Zhang, S. , Gao, T. , Chen, D. . MULTI-TIMESCALE OPTIMAL SCHEDULING OF WIND-STORAGE CLUSTER POWER SYSTEM WITH DEMAND RESPONSE; [计及需求响应的风储集群电力系统多时间尺度优化调度] . | Acta Energiae Solaris Sinica , 2025 , 46 (2) , 282-292 . |
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