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学者姓名：邵振国
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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
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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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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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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
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| 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 . |
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Abstract ：
多能流计算是综合能源系统(integrated energy system,IES)分析和优化的基础.在各能源网络运营主体交互信息有限的背景下,为提升多能流计算的收敛性和计算效率,提出一种基于幂级数系数分向传递的递归型电-气-热多能流算法.首先,分别建立电、气、热能源系统的全纯嵌入能流模型;其次,分析全纯嵌入法在多能流计算中的递归求解原理,将幂级数系数的传递划分为横向传递与纵向传递两类,建立可分向传递求解的电-气-热IES全纯嵌入多能流模型;接着,推导各全纯嵌入状态量的幂级数系数递归关系,通过幂级数系数的分向传递,递归求取状态量的幂级数系数,实现电-气-热多能流求解;最后,算例结果表明,所提方法能够以少量的交互信息实现多能流计算,具有更优的收敛性能和计算效率.
Keyword ：
全纯嵌入 全纯嵌入 分向传递 分向传递 多能流计算 多能流计算 综合能源系统 综合能源系统 递归计算 递归计算
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| GB/T 7714 | 陈飞雄 , 王海龙 , 邵振国 et al. 基于幂级数系数分向传递的递归型电-气-热多能流算法 [J]. | 电网技术 , 2024 , 48 (9) : 3624-3633 . |
| MLA | 陈飞雄 et al. "基于幂级数系数分向传递的递归型电-气-热多能流算法" . | 电网技术 48 . 9 (2024) : 3624-3633 . |
| APA | 陈飞雄 , 王海龙 , 邵振国 , 吴鸿斌 , 张河 , 陈冰 . 基于幂级数系数分向传递的递归型电-气-热多能流算法 . | 电网技术 , 2024 , 48 (9) , 3624-3633 . |
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With the large-scale uncertain renewable energy connected to the grid, the frequency characteristics of the power grid are increasingly complex. Plagued by long response times and the inability to accurately track frequency regulation commands, traditional thermal power units call for urgent improvement in the performance of its participation in frequency regulation of automatic generation control (AGC) of thermal power by use of energy storage. Therefore, firstly, the mathematical model of frequency regulation performance index is established according to frequency regulation assessment rules. Besides, considering the output characteristics of the energy storage system, combined with the improved analytic hierarchy process to correct the weight coefficient of the frequency regulation sub index, the first-stage optimization model aiming at the optimal AGC performance is constructed. On this basis, in order to reduce the limit crossing and storage depth charging & discharging cases at the state of charge (SOC), the second-stage optimization model is constructed in order to minimize the SOC deviation. The simulation verification shows that the two-stage frequency regulation method proposed in this paper can improve the frequency regulation performance and benefits of the system of energy storage coordinated with thermal power unit, while reducing the energy storage in-depth charging & discharging cases and working life loss, thus improving the sustainability of frequency regulation auxiliary service of energy storage. © 2024 Automation of Electric Power Systems Press. All rights reserved.
Keyword ：
automatic generation control automatic generation control energy storage energy storage frequency regulation auxiliary service frequency regulation auxiliary service improved analytic hierarchy process improved analytic hierarchy process two-stage frequency regulation two-stage frequency regulation
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| GB/T 7714 | Wang, Y. , Chen, F. , Shao, Z. et al. Two-stage Frequency Regulation Method for Energy Storage Coordinated with Thermal Power Unit Based on Weight Coefficient Correction; [基于权重系数校正的火储两阶段联合调频方法] [J]. | Electric Power , 2024 , 57 (3) : 83-94 . |
| MLA | Wang, Y. et al. "Two-stage Frequency Regulation Method for Energy Storage Coordinated with Thermal Power Unit Based on Weight Coefficient Correction; [基于权重系数校正的火储两阶段联合调频方法]" . | Electric Power 57 . 3 (2024) : 83-94 . |
| APA | Wang, Y. , Chen, F. , Shao, Z. , Zhang, S. , Zhang, W. , Li, Z. . Two-stage Frequency Regulation Method for Energy Storage Coordinated with Thermal Power Unit Based on Weight Coefficient Correction; [基于权重系数校正的火储两阶段联合调频方法] . | Electric Power , 2024 , 57 (3) , 83-94 . |
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Affected by the large error in the day-ahead prediction of source and load, the multi-energy microgrid has the problems that the change range of the optimal dispatching scheme is wide, and has no sufficient margin for uncertainty. To solve these problems, an affine optimal dispatching method of multi-energy microgrid based on model predictive control is proposed. Firstly, the prediction information is updated continuously to ensure the accuracy of the source and load prediction. On this basis, the affine arithmetic is used to characterize the uncertainty of source and load prediction. Secondly, an affine optimal dispatching model is embedded in the rolling optimization and the affine optimal dispatching model is solved in each rolling optimization. Finally, the simulative results verify that the proposed method can effectively reduce the conservativeness of the optimal dispatching scheme and improve the ability to deal with uncertainty. © 2024 Electric Power Automation Equipment Press. All rights reserved.
Keyword ：
affine arithmetic affine arithmetic intra-day dispatch intra-day dispatch model predictive control model predictive control multi-energy microgrid multi-energy microgrid source and load uncertainty source and load uncertainty
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| GB/T 7714 | Chen, F. , Guo, Y. , Shao, Z. et al. Affine optimal dispatch of multi-energy microgrid based on model predictive control; [基于模型预测控制的多能源微网仿射优化调度] [J]. | Electric Power Automation Equipment , 2024 , 44 (9) : 24-31and48 . |
| MLA | Chen, F. et al. "Affine optimal dispatch of multi-energy microgrid based on model predictive control; [基于模型预测控制的多能源微网仿射优化调度]" . | Electric Power Automation Equipment 44 . 9 (2024) : 24-31and48 . |
| APA | Chen, F. , Guo, Y. , Shao, Z. , Cai, M. , Lin, W. , Li, Y. . Affine optimal dispatch of multi-energy microgrid based on model predictive control; [基于模型预测控制的多能源微网仿射优化调度] . | Electric Power Automation Equipment , 2024 , 44 (9) , 24-31and48 . |
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To account for the impact of renewable energy output correlation on the operation of multi-energy microgrids and respond to the real-time changes of source and load, an affine real-time optimal dispatching method for multi-energy microgrids with renewable energy output correlation is proposed. Firstly, the Kalina cycle is introduced into the multi-energy microgrid to achieve a flexible economic output of the combined heat and power unit. Secondly, considering the uncertainty of source and load and the correlation of wind power and photovoltaic output on the operation of the multi-energy microgrid, an affine optimization model of the multi-energy microgrid with wind power and photovoltaic output correlation is constructed and solved. Thirdly, based on obtaining the variation range of the optimal scheme, the values of each affine noise symbol are calculated in real-time, thus obtaining the real-time dispatching trajectory of the multi-energy microgrid. Finally, the simulation results verify that the proposed method can fully account for the dual effects of uncertainty and correlation, effectively deal with the real-time changes of source and load, and improve the system's operation economy. © 2024 Power System Technology Press. All rights reserved.
Keyword ：
affine optimization affine optimization multi-energy microgrid multi-energy microgrid real-time dispatching real-time dispatching renewable energy output correlation renewable energy output correlation source and load uncertainty source and load uncertainty
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| GB/T 7714 | Chen, F. , Guo, Y. , Shao, Z. et al. Affine Real-time Optimal Dispatching for Multi-energy Microgrid With Renewable Energy Output Correlation; [计及新能源出力相关性的多能源微网仿射实时优化调度] [J]. | Power System Technology , 2024 , 48 (8) : 3248-3257 . |
| MLA | Chen, F. et al. "Affine Real-time Optimal Dispatching for Multi-energy Microgrid With Renewable Energy Output Correlation; [计及新能源出力相关性的多能源微网仿射实时优化调度]" . | Power System Technology 48 . 8 (2024) : 3248-3257 . |
| APA | Chen, F. , Guo, Y. , Shao, Z. , Zheng, X. , Hu, K. , Lin, W. . Affine Real-time Optimal Dispatching for Multi-energy Microgrid With Renewable Energy Output Correlation; [计及新能源出力相关性的多能源微网仿射实时优化调度] . | Power System Technology , 2024 , 48 (8) , 3248-3257 . |
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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
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| 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 . |
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Around the energy flow calculation problem of integrated energy system, various energy flow calculation methods are reviewed from two aspects: network model and solution, uncertain performance flow analysis method. Firstly, in the aspect of network characteristics modeling of integrated energy system, partial differential equation model, dynamic model and steady state model and their solutions are discussed. Secondly, two types of energy flow analysis methods for dealing with external uncertainty, namely probability and interval, were summarized, and energy flow analysis methods with mixed uncertainty in probability interval. Finally, we analyze the difficulties and hotspots of energy flow calculation from the perspective of engineering applications, and then provide prospects for its development direction. © 2024 Science Press. All rights reserved.
Keyword ：
Energy resources Energy resources Uncertainty analysis Uncertainty analysis
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| GB/T 7714 | Chen, Feixiong , Yan, Xiying , Shao, Zhenguo et al. Review on Modeling and Energy Flow Calculation Methods for Integrated Energy Systems [J]. | High Voltage Engineering , 2024 , 50 (4) : 1376-1391 . |
| MLA | Chen, Feixiong et al. "Review on Modeling and Energy Flow Calculation Methods for Integrated Energy Systems" . | High Voltage Engineering 50 . 4 (2024) : 1376-1391 . |
| APA | Chen, Feixiong , Yan, Xiying , Shao, Zhenguo , Li, Yimin , Zheng, Xianghao , Zhang, He . Review on Modeling and Energy Flow Calculation Methods for Integrated Energy Systems . | High Voltage Engineering , 2024 , 50 (4) , 1376-1391 . |
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Abstract ：
综合能源系统能流耦合渐趋紧密，与此同时可再生能源和负荷需求的强不确定性对系统能流分析提出了挑战。因此，提出一种电-气互联系统（IEGS）仿射型区间能流算法，在仿射能流计算结果中保留噪声元特征，通过噪声元系数分析各独立不确定因素对系统状态变量的影响程度。建立电、气子系统仿射模型及能流方程。提出基于域收缩思想的IEGS预测-校正型仿射能流算法，根据灵敏度对状态量的解域进行保守的预测，并构建优化模型对解域进行压缩校正。同时，采用多能流分布式迭代方法进行求解，其无须考虑复杂耦合网络中的多能流计算顺序。最后通过仿真验证了所提方法在保守性、计算效率方面的优势，并量化分析了不确定因素对系统状态量的影响。
Keyword ：
不确定性分析 不确定性分析 仿射型区间能流 仿射型区间能流 多能流算法 多能流算法 电-气互联系统 电-气互联系统
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| GB/T 7714 | 陈飞雄 , 颜熙颖 , 邵振国 et al. 电-气互联系统预测-校正型仿射能流算法 [J]. | 电力自动化设备 , 2024 , 44 (05) : 19-27,35 . |
| MLA | 陈飞雄 et al. "电-气互联系统预测-校正型仿射能流算法" . | 电力自动化设备 44 . 05 (2024) : 19-27,35 . |
| APA | 陈飞雄 , 颜熙颖 , 邵振国 , 李壹民 , 郑翔昊 . 电-气互联系统预测-校正型仿射能流算法 . | 电力自动化设备 , 2024 , 44 (05) , 19-27,35 . |
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