Search

为实现“双碳”目标，缓解环境压力，综合能源系统（integrated energy system，IES）已成为能源转型的重要发展方向之一。考虑到电转气（power-to-gas，P2G）技术引入的氢气、合成天然气等多类型供气源混合的问题，传统的IES能量流计算已无法确定混合后的燃气品质是否达标，无法量化其对IES中的节点压力、电压等参数影响。为此，提出了一种计及气体成分变化的电-气-热综合能源系统能量流计算方法。首先，将气体相对密度和热值建模为迭代变量，给出了混合气体的相对密度和热值的节点偏差方程及求解流程，为IES中多种供气源及其混合问题提供了通用模型；其次，提出了扩展牛顿-拉夫逊求解方法，给出反映耦合关系的扩展雅可比矩阵，以实现更全面的能量流结果评估和运行分析；最后，通过算例验证了所提模型和方法可有效反映气体成分变化对耦合系统的影响。

在含高比例可再生能源的新型电力系统中，由于不考虑电力电子变换器的阻抗特性，使得潮流计算的精度降低。为此，需要一种基于本地控制器阻抗特性的由大量分布式发电机组成的新型电力系统潮流计算方法。首先，基于小信号扰动法和dq轴、αβ轴、abc轴之间的等效变换，对变换器的源端等效输出阻抗矩阵进行了估计。然后将总线-分布式电源等效阻抗模型转化为总线-总线的阻抗模型。同时，将等效阻抗模型嵌入雅可比矩阵迭代过程中，提高了潮流计算方法的精度。最后，利用IEEE-4 总线测试系统、PG&E-69 总线测试系统和IEEE-118 总线测试系统对基于本地控制器阻抗特性的潮流计算进行了仿真，表明所提出的潮流计算方法更为准确。

能源行业新兴分布式技术不断发展，分布式计算虽然能弥补传统集中式计算网络拥堵、计算能力低的缺点，但对边缘设备隐私安全和可信感知存在不足。首先根据能源互联网和边缘设备特性，依托边缘计算、分布式控制和智能终端建立了信息能源边缘服务系统（cyber energy edge service system,CEESS），保证网络信息流通量的同时，实现了边缘信息存储和安全传输。在零信任模型下，针对边缘设备和能源信息分别提出相应的信任感知策略。最后提出数据可信下的事件触发边缘控制，以及网络崩溃情况下的节点自愈方法，保障了信息能源系统的设备安全运行和可信性控制。

随着用户在综合能源系统中的参与度以及系统复杂度的提升，传统的能源枢纽已无法完全满足需求。同时，如何解决环境与负荷的不确定性以及提升能量单元的自我调节能力是亟需考虑的因素。基于此，提出了具备全双工与分布式特性的自能源单元，构建了一种针对多种不确定性以及需求侧响应的自能源综合调度模型并提出相应的能量管理策略。相较于其他模型，所提自能源综合调度模型全面描述了自能源在能源互联网中的运行特点。进一步，采用对环境模型需求较低的增强学习算法，引入不确定性作为状态指标并进行模糊离散化处理，使其可以在无前期预测的情况下解决模型中的多种不确定性带来的影响。仿真结果证明，所提综合能量管理策略具有较高的效率和更好的适用性，能有效实现不确定环境下自能源的最优调配。

可再生能源高速发展、信息智能技术深度融合以及终端用能的多样化需求使得能源生产、分配及消费形式都呈现出时空异步、信能融合、多能互补以及智物协同的新趋势，这使得终端信息能源系统的平衡、协同、管控必须与之相适应。根据终端、拓扑网络以及综合能源管理云平台的特性，该文首先设计了自适应嵌入式信息能源智能终端，提出基于有限智能需求的边缘智能策略，以及多智能终端之间互协作策略，最终基于云平台提出拓扑网络与云平台纵向联合能源调配方案。构建了端-网-云立体协同架构以及自-互-群的立体管控策略，实现了综合能源系统不同层级资源协同优化调度，保障大规模动态信息能源系统的安全高效运行。

Copyright of Power Generation Technology is the property of Power Generation Technology Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Electric Machines & Control / Dianji Yu Kongzhi Xuebao is the property of Electric Machines & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Automatica Sinica is the property of Chinese Academy of Sciences, Institute of Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Automatica Sinica is the property of Chinese Academy of Sciences, Institute of Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Northeastern University (Natural Science) is the property of Dongbei Daxue Xuebao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Automatica Sinica is the property of Chinese Academy of Sciences, Institute of Automation and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Northeastern University (Natural Science) is the property of Dongbei Daxue Xuebao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Northeastern University (Natural Science) is the property of Dongbei Daxue Xuebao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Northeastern University (Natural Science) is the property of Dongbei Daxue Xuebao and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The observer-based fuzzy H∞ controller design problem was considered for steam valve opening of multi-machine power systems which is consisting of turbo-generators. Firstly， T-S fuzzy model was used to establish the model for multi-machine power systems. Because sometimes the measurable state variables of actual power systems may not be used as the premise variables of the fuzzy rules， the observer-based conditions were derived to guarantee the H∞ performance. However， the conditions are not based on the linear matrix inequalities (LMIs)， which can only be solved by a two-step method. Then the LMIs-based conditions by only one step were proposed， in which the conservativeness of the conditions was reduced. Finally， the T-S fuzzy model was established for the steam valve opening of two-machine infinite bus power systems with local linearization method， and effectiveness of the proposed controller design was verified by the simulation results. [ABSTRACT FROM AUTHOR]