Query：
学者姓名：邵振国
Refining：
Year
Type
Indexed by
Source
Complex
Former Name
Co-
Language
Clean All
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)
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
"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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Hydrogen-enriched compressed natural gas pemetrated integrated energy system (HPIES) stands as a highly promising technique for enhancing energy efficiency and mitigating emissions, owing to its capacity to effectively address the issue of elevated hydrogen transportation expenses. Traditional integrated energy systems (IESs) fail to describe the impact of hydrogen blending on gas properties, gas transportation, and gas separation, and face economic challenges. Therefore, in this paper, a novel HPIES optimal scheduling model is established considering the multi-membrane hydrogen separation and the variable efficiency model of electrolyzer. Firstly, the HPIES model, considering variable hydrogen doping ratio and uncertain starting flow direction, is developed. Secondly, in HPIES, two kinds of membranes are combined to forma multi- membrane hydrogen separation model. The thermodynamics of the electrolyzer and the bubble coverage model are considered in the optimization of HPIES. Finally, the effectiveness of the proposed model is verified by taking IEEE 39 - bus power system and 20 - node natural gas system as an example. In addition, the results indicate that HPIES can accurately reflect the flow of the system, and it has led to a cost reduction of $439,156. Meanwhile, the model demonstrates that multi-membrane hydrogen separation can reduce 46.861 MW and 38.359 MW, respectively, in a single day compared to the other two membranes. The variable efficiency model of the electrolyzer can reflect the trend of changes in the electrolyzer.
Keyword ：
Electrolyzer variable efficiency model Electrolyzer variable efficiency model HCNG Pemetrated Integrated Energy System (HPIES) HCNG Pemetrated Integrated Energy System (HPIES) Hydrogen enriched compressed natural gas HCNG Hydrogen enriched compressed natural gas HCNG Multi-membrane hydrogen separation model Multi-membrane hydrogen separation model
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Zheng, Wendi , Wang, Jiateng , Shao, Zhenguo et al. Optimal scheduling of HPIES considering multi-membrane hydrogen separation and variable efficiency of electrolyzer [J]. | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY , 2025 , 106 : 700-711 . |
| MLA | Zheng, Wendi et al. "Optimal scheduling of HPIES considering multi-membrane hydrogen separation and variable efficiency of electrolyzer" . | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY 106 (2025) : 700-711 . |
| APA | Zheng, Wendi , Wang, Jiateng , Shao, Zhenguo , Yang, Yingsheng , Zhao, Yuhang , Lai, Zhenhua . Optimal scheduling of HPIES considering multi-membrane hydrogen separation and variable efficiency of electrolyzer . | INTERNATIONAL JOURNAL OF HYDROGEN ENERGY , 2025 , 106 , 700-711 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Amid rising energy demands and environmental concerns, integrated energy systems (IESs) face conflicting interests. Conventional strategies of interest distribution face issues such as irrational resource allocation. Accordingly, establishing energy trading strategies with multiple stakeholders becomes essential. This paper proposes a robust optimization (RO) for IESs based on multi-energy trading to reduce energy trading cost. In this regard, a single-leader-multi-follower Stackelberg game is first modeled where IES acts as the leader, and the users and the electric vehicles (EVs) act as the followers. Secondly, this model is transformed into a single-layer linear model and integrated into the multi-stage RO. With this, the nonanticipativity in the two-stage RO can be effectively handled. Besides, by constructing multi-interval uncertainty sets for renewable energy, load, and electricity prices, the conservatism of the model is reduced, making the optimization results closer to actual condition. Noteworthy that the Nash bargaining method ensures a fair distribution of benefits among IESs and encourages them to participate in energy trading. Finally, the multi-energy trading model is solved using the prediction-correction-based alternating direction method with multipliers (PCB-ADMM) algorithm. The PCB-ADMM not only protects each IES's privacy but also has less execution time than the ADMM algorithm. The effectiveness of the proposed strategy is validated through simulation using Matlab. © 2024
Keyword ：
Electric vehicles (EVs) Electric vehicles (EVs) Integrated energy systems (IESs) Integrated energy systems (IESs) Multi-stage robust Multi-stage robust Nash bargaining Nash bargaining Stackelberg game Stackelberg game
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Gao, J. , Shao, Z. , Chen, F. et al. Robust optimization for integrated energy systems based on multi-energy trading [J]. | Energy , 2024 , 308 . |
| MLA | Gao, J. et al. "Robust optimization for integrated energy systems based on multi-energy trading" . | Energy 308 (2024) . |
| APA | Gao, J. , Shao, Z. , Chen, F. , Lak, M. . Robust optimization for integrated energy systems based on multi-energy trading . | Energy , 2024 , 308 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Emergency control is essential for maintaining the stability of power systems, serving as a key defense mechanism against the destabilization and cascading failures triggered by faults. Under-voltage load shedding is a popular and effective approach for emergency control. However, with the increasing complexity and scale of power systems and the rise in uncertainty factors, traditional approaches struggle with computation speed, accuracy, and scalability issues. Deep reinforcement learning holds significant potential for the power system decision-making problems. However, existing deep reinforcement learning algorithms have limitations in effectively leveraging diverse operational features, which affects the reliability and efficiency of emergency control strategies. This paper presents an innovative approach for real-time emergency voltage control strategies for transient stability enhancement through the integration of edge-graph convolutional networks with reinforcement learning. This method transforms the traditional emergency control optimization problem into a sequential decision-making process. By utilizing the edge-graph convolutional neural network, it efficiently extracts critical information on the correlation between the power system operation status and node branch information, as well as the uncertainty factors involved. Moreover, the clipped double Q-learning, delayed policy update, and target policy smoothing are introduced to effectively solve the issues of overestimation and abnormal sensitivity to hyperparameters in the deep deterministic policy gradient algorithm. The effectiveness of the proposed method in emergency control decision-making is verified by the IEEE 39-bus system and the IEEE 118-bus system. © 2024 Elsevier Ltd
Keyword ：
Deep reinforcement learning Deep reinforcement learning Transient stability Transient stability
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Jiang, Changxu , Liu, Chenxi , Yuan, Yujuan et al. Emergency voltage control strategy for power system transient stability enhancement based on edge graph convolutional network reinforcement learning [J]. | Sustainable Energy, Grids and Networks , 2024 , 40 . |
| MLA | Jiang, Changxu et al. "Emergency voltage control strategy for power system transient stability enhancement based on edge graph convolutional network reinforcement learning" . | Sustainable Energy, Grids and Networks 40 (2024) . |
| APA | Jiang, Changxu , Liu, Chenxi , Yuan, Yujuan , Lin, Junjie , Shao, Zhenguo , Guo, Chen et al. Emergency voltage control strategy for power system transient stability enhancement based on edge graph convolutional network reinforcement learning . | Sustainable Energy, Grids and Networks , 2024 , 40 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
受源荷日前预测误差较大的影响,多能源微网存在优化调度方案变化范围较大,且难有足够的不确定性应对裕度的问题.为解决上述问题,提出一种基于模型预测控制的多能源微网仿射优化调度方法.首先,通过不断更新预测信息以保证源荷预测精度.在此基础上,采用仿射算法表征源荷预测的不确定性.然后,将仿射优化调度模型嵌入滚动优化中,并在每次滚动优化中求解仿射优化调度模型.最后,仿真结果验证了所提方法能够有效降低优化调度方案的保守性与提高不确定性应对能力.
Keyword ：
仿射算法 仿射算法 多能源微网 多能源微网 日内调度 日内调度 模型预测控制 模型预测控制 源荷不确定性 源荷不确定性
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 陈飞雄 , 郭奕鑫 , 邵振国 et al. 基于模型预测控制的多能源微网仿射优化调度 [J]. | 电力自动化设备 , 2024 , 44 (9) : 24-31,48 . |
| MLA | 陈飞雄 et al. "基于模型预测控制的多能源微网仿射优化调度" . | 电力自动化设备 44 . 9 (2024) : 24-31,48 . |
| APA | 陈飞雄 , 郭奕鑫 , 邵振国 , 蔡明杰 , 林炜晖 , 李壹民 . 基于模型预测控制的多能源微网仿射优化调度 . | 电力自动化设备 , 2024 , 44 (9) , 24-31,48 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
在源荷不确定性日益显著的背景下,不确定性能流计算对电-气互联系统能源优化调度具有重要意义.针对天然气网络仿射能流算法面临的仿射数矩阵求逆运算复杂、难以适用环网等问题,该文提出一种天然气网络全纯嵌入仿射能流方法.在此基础上,根据耦合设备处的能量流动对电、气子系统能流方程进行重构,构建全纯嵌入的电-气仿射多能流模型.为降低多能流计算的初值依赖性、提升多能流计算效率,提出一种仿射能流交替递归计算方法,将电网空载状态的状态量初值作为多能流计算起始点,基于各仿射型状态量的幂级数系数递推关系,以交替进行的方式逐阶递归计算电网、气网和耦合设备的仿射型状态量幂级数系数,求解电-气互联系统的能流分布区间.仿真结果验证了所提方法在算法保守性、收敛性和计算效率等方面的优势.
Keyword ：
交替递归 交替递归 仿射能流 仿射能流 全纯嵌入法 全纯嵌入法 电-气互联系统 电-气互联系统
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 陈飞雄 , 吴鸿斌 , 邵振国 et al. 电-气互联系统仿射能流交替递归计算方法 [J]. | 电网技术 , 2024 , 48 (7) : 2842-2851,中插60-中插63 . |
| MLA | 陈飞雄 et al. "电-气互联系统仿射能流交替递归计算方法" . | 电网技术 48 . 7 (2024) : 2842-2851,中插60-中插63 . |
| APA | 陈飞雄 , 吴鸿斌 , 邵振国 , 郑翔昊 , 王海龙 , 胡昆熹 . 电-气互联系统仿射能流交替递归计算方法 . | 电网技术 , 2024 , 48 (7) , 2842-2851,中插60-中插63 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
