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学者姓名：陈飞雄
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Abstract ：
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 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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"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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The power flow solution calculated by the existing affine power flow method can only reflect the power flow distribution of the system in a certain range of the source load power, which is difficult to meet the online calculation requirements of multi-scenario uncertainty analysis. To solve these problems, an affine power flow multi-scenario uncertainty analysis method is proposed in this paper. Various holomorphic embedding variables with different physical meanings are used to scale the central values and partial deviation coefficients of the affine injection power. In this way, the interval variation of uncertain injection power is tracked and described, and the analytical dimension of the affine power flow is expanded from one dimension to multiple dimensions. The calculation of affine power flow is divided into two parts: analytic expression solving and online calculation. The multivariate power series coefficients of affine status variables are solved recursively, and the analytical expression for affine power flow is obtained. The online calculation of affine power flow in specific scenarios is realized by substituting the target value of embedded variables. The simulation results verify the advantages of the proposed method in convergence, conservatism and multi-scenario analysis efficiency. © 2025 Power System Technology Press. All rights reserved.
Keyword ：
Embeddings Embeddings Load flow control Load flow control Load flow optimization Load flow optimization
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| GB/T 7714 | Chen, Feixiong , Wu, Hongbin , Shao, Zhenguo et al. Affine Power Flow Multi-scenario Uncertainty Analysis Method for Power System [J]. | Power System Technology , 2025 , 49 (1) : 252-262 . |
| MLA | Chen, Feixiong et al. "Affine Power Flow Multi-scenario Uncertainty Analysis Method for Power System" . | Power System Technology 49 . 1 (2025) : 252-262 . |
| APA | Chen, Feixiong , Wu, Hongbin , Shao, Zhenguo , Li, Yimin , Zhang, He , Su, Weiqi . Affine Power Flow Multi-scenario Uncertainty Analysis Method for Power System . | Power System Technology , 2025 , 49 (1) , 252-262 . |
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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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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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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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The integration of distributed generations (DG), such as wind turbines and photovoltaics, has a significant impact on the security, stability, and economy of the distribution network due to the randomness and fluctuations of DG output. Dynamic distribution network reconfiguration (DNR) technology has the potential to mitigate this problem effectively. However, due to the non-convex and nonlinear characteristics of the DNR model, traditional mathematical optimization algorithms face speed challenges, and heuristic algorithms struggle with both speed and accuracy. These problems hinder the effective control of existing distribution networks. To address these challenges, an active distribution network dynamic reconfiguration approach based on an improved multi-agent deep deterministic policy gradient (MADDPG) is proposed. Firstly, taking into account the uncertainties of load and DG, a dynamic DNR stochastic mathematical model is constructed. Next, the concept of fundamental loops (FLs) is defined and the coding method based on loop-coding is adopted for MADDPG action space. Then, the agents with actor and critic networks are equipped in each FL to real-time control network topology. Subsequently, a MADDPG framework for dynamic DNR is constructed. Finally, simulations are conducted on an improved IEEE 33-bus power system to validate the superiority of MADDPG. The results demonstrate that MADDPG has a shorter calculation time than the heuristic algorithm and mathematical optimization algorithm, which is useful for real-time control of DNR.
Keyword ：
active distribution network active distribution network deep deterministic policy gradient deep deterministic policy gradient Distribution network reconfiguration Distribution network reconfiguration Distribution networks Distribution networks Encoding Encoding Heuristic algorithms Heuristic algorithms Load modeling Load modeling Mathematical models Mathematical models multi-agent deep reinforcement learning multi-agent deep reinforcement learning Optimization Optimization Power system dynamics Power system dynamics Power system stability Power system stability Real-time systems Real-time systems Uncertainty Uncertainty
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| GB/T 7714 | Jiang, Changxu , Lin, Zheng , Liu, Chenxi et al. MADDPG-Based Active Distribution Network Dynamic Reconfiguration with Renewable Energy [J]. | PROTECTION AND CONTROL OF MODERN POWER SYSTEMS , 2024 , 9 (6) : 143-155 . |
| MLA | Jiang, Changxu et al. "MADDPG-Based Active Distribution Network Dynamic Reconfiguration with Renewable Energy" . | PROTECTION AND CONTROL OF MODERN POWER SYSTEMS 9 . 6 (2024) : 143-155 . |
| APA | Jiang, Changxu , Lin, Zheng , Liu, Chenxi , Chen, Feixiong , Shao, Zhenguo . MADDPG-Based Active Distribution Network Dynamic Reconfiguration with Renewable Energy . | PROTECTION AND CONTROL OF MODERN POWER SYSTEMS , 2024 , 9 (6) , 143-155 . |
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Conventional harmonic source location methods based on harmonic state estimation require phasor measurement units，therefore their engineering applications are limited. Aiming at this problem，a harmonic source location method based on feature set reconstruction and multi-label classification model is proposed based on asynchronous measurement data collected by power quality monitoring devices. The sufficient statistics of the monitoring data is used to mine the harmonic information of the measurement period. Meanwhile，a label-specific feature learning algorithm is used to reconstruct the feature set，so as to eliminate the influence of redundant and irrelevant features on the accuracy of harmonic sources location. Then a configuration method of measurement devices is proposed based on the adjacency matrix and sensitivity analysis，which uses circuit network topology information to achieve measurement device configuration. An improved extreme learning machine based harmonic source location method is proposed，which uses the reconstructed feature set as input and establishes a multi-label classification model to achieve harmonic source location. The feasibility and effectiveness of the proposed method are verified by simulation and arithmetic cases. © 2024 Electric Power Automation Equipment Press. All rights reserved.
Keyword ：
Classification (of information) Classification (of information) Harmonic analysis Harmonic analysis Knowledge acquisition Knowledge acquisition Learning algorithms Learning algorithms Location Location Machine learning Machine learning Network topology Network topology Phasor measurement units Phasor measurement units Power quality Power quality Sensitivity analysis Sensitivity analysis
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| GB/T 7714 | Shao, Zhenguo , Lin, Xiao , Zhang, Yan et al. Harmonic source location method based on feature set reconstruction and multi-label classification model [J]. | Electric Power Automation Equipment , 2024 , 44 (2) : 147-154 . |
| MLA | Shao, Zhenguo et al. "Harmonic source location method based on feature set reconstruction and multi-label classification model" . | Electric Power Automation Equipment 44 . 2 (2024) : 147-154 . |
| APA | Shao, Zhenguo , Lin, Xiao , Zhang, Yan , Chen, Feixiong , Lin, Hongzhou . Harmonic source location method based on feature set reconstruction and multi-label classification model . | Electric Power Automation Equipment , 2024 , 44 (2) , 147-154 . |
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