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Performance Modeling for Data Monitoring Services in Smart Grid: A Network Calculus Based Approach

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CSEE Journal of Power and Energy Systems 2020年第3期6卷 610-618页

作者： Junwei Cao Yuxin Wan haochen hua Gang Yang Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China College of Energy and Electrical Engineering Hohai UniversityNanjing 211100China

This paper focuses on solving the modeling issues of monitoring system service performance based on the network calculus ***,we formulate the service model of the smart grid monitoring ***,we derive the flow arrival curve based on the incremental process related ***,we develop flow arrival curves for the case of the incremental process being a fractional Gaussian process,and then we obtain the generalized Cauchy *** technical theorems related to network calculus are presented as our main ***,the variance of arrival flow for the continuous time case is *** that the incremental process of network flow is a Gaussian stationary process,and given the auto-correlation function of the incremental process with violation probability,the formula of the arrival curve is *** addition,the overall flow variance under the discrete time case is explicitly *** theoretical results are evaluated in smart grid *** indicate that the generalized Cauchy process outperforms the fractional Gaussian process for our considered problem.

关键词： Fractional Gaussian process generalized Cauchy process monitoring systems network calculus service performance

Energy Sharing and Frequency Regulation in Energy Network via Mixed H_(2)/H_(∞) Control with Markovian Jump

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CSEE Journal of Power and Energy Systems 2021年第6期7卷 1302-1311页

作者： haochen hua Yuchao Qin Zicheng He Liuying Li Junwei Cao the College of Energy and Electrical Engineering Hohai UniversityNanjing 211100China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China Institute of Information Technology Fudan UniversityShanghai 200433China International Automotive Research Centre WMGUniversity of WarwickCoventryCV47ALUK

In this paper,the problem of mixed optimization for energy sharing and frequency regulation in a typical energy network scenario where energy routers(ERs)interconnected AC microgrids(MGs)is ***-time Markov chains are introduced to describe the switching paths in the power dynamics of *** that the modelling of considered energy network system could be closer to the real-world engineering *** parameter estimation techniques are integrated into the proposed method to achieve better modelling accuracy and controlling *** on the parameters of MG power dynamics,the mixed H_(2)/H_(∞) controllers are obtained via stochastic control *** feasibility and efficacy of the proposed approach are evaluated in numerical examples.

关键词： Energy network microgrids H_(2)/H_(∞)control markov jump

Improved Approximate Minimum Degree Ordering Method and Its Application for Electrical Power Network Analysis and Computation

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Tsinghua Science and Technology 2021年第4期26卷 464-474页

作者： Jian Guo Hong Liang Songpu Ai Chao Lu haochen hua Junwei Cao Beijing National Research Center for Information Science and Technology Beijing 100084China Department of Electrical Engineering Tsinghua UniversityBeijing 100084China College of Energy and Electrical Engineering Hohai UniversityNanjing 211100China

Electrical power network analysis and computation play an important role in the planning and operation of the power grid,and they are modeled mathematically as differential equations and network algebraic *** direct method based on Gaussian elimination theory can obtain analytical *** factors affect computing efficiency:the number of nonzero element fillings and the length of elimination *** article constructs mapping correspondence between eliminated tree nodes and quotient graph nodes through graph and quotient graph *** Approximate Minimum Degree(AMD)of quotient graph nodes and the length of the elimination tree nodes are composed to build an Approximate Minimum Degree and Minimum Length(AMDML)*** quotient graph node with the minimum degree,which is also the minimum length of elimination tree node,is selected as the next ordering *** with AMD ordering method and other common methods,the proposed method further reduces the length of elimination tree without increasing the number of nonzero fillings;the length was decreased by about 10%compared with the AMD method.A testbed for experiment was *** efficiency of the proposed method was evaluated based on different sizes of coefficient matrices of power flow cases.

关键词： Approximate Minimum Degree and Minimum Length(AMDML) electrical power network analysis elimination tree numerical solution ordering method

Consensus-based Optimal Control Strategy for Multi-microgrid Systems with Battery Degradation Consideration

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CSEE Journal of Power and Energy Systems 2024年第5期10卷 1911-1924页

作者： Tonghe Wang Hong Liang Bo He haochen hua Yuchao Qin Junwei Cao Institute of Energy Conversion Chinese Academy of SciencesGuangzhou 510640China Meihua Holdings Group Co. Ltd.Langfang 065001China. Department of Astronautical Science and Technology Space Engineering UniversityBeijing 101416China College of Energy and Electrical Engineering Hohai UniversityNanjing211100China Department of Applied Mathematics and Theoretical Physics University of CambridgeCambridgeCB30WAUK. Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China

Consensus has been widely used in distributed control,where distributed individuals need to share their states with their neighbors through communication links to achieve a common ***,the objectives of existing consensus-based control strategies for energy systems seldom address battery degradation cost,which is an important performance indicator to assess the performance and sustainability of battery energy storage(BES)*** this paper,we propose a consensusbased optimal control strategy for multi-microgrid systems,aiming at multiple control objectives including minimizing battery degradation *** consensus is used to synchronize the ratio of BES output power to BES state-of-charge(SoC)among all microgrids while each microgrid is trying to reach its individual *** order to reduce the pressure of communication links and prevent excessive exposure of local information,this ratio is the only state variable shared between *** our complex nonlinear problem might be difficult to solve by traditional methods,we design a compressive sensing-based gradient descent(CSGD)method to solve the control *** simulation results show that our control strategy results in a 74.24%reduction in battery degradation cost on average compared to the control method without considering battery *** addition,the compressive sensing method causes an 89.12%reduction in computation time cost compared to the traditional Monte Carlo(MC)method in solving the control problem.

关键词： Battery degradation compressive sensing consensus distributed control multi-microgrid

碳约束下基于双重博弈的电力零售商售电价格决策优化

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中国电力 2024年第5期57卷 126-136页

作者：李方姝余昆陈星莺华昊辰河海大学能源与电气学院江苏南京210098

在碳约束下,市场中的多零售商竞争售电和多用户购电给电力零售商制定售电价格提高自身利润带来了挑战。为解决零售商售电价格制定的问题,提出了在碳约束条件下多电力零售商竞争售电和多用户购电的双重博弈价格决策优化模型。首先,建立... 详细信息

在碳约束下,市场中的多零售商竞争售电和多用户购电给电力零售商制定售电价格提高自身利润带来了挑战。为解决零售商售电价格制定的问题,提出了在碳约束条件下多电力零售商竞争售电和多用户购电的双重博弈价格决策优化模型。首先,建立各市场参与者的决策模型。其次,建立并描述电力零售商的双重博弈架构,其中,各电力零售商间构成非合作博弈,各零售商与各用户间构成主从博弈。然后,采用循环迭代嵌套IPOPT求解器的方法求解零售商的双重博弈问题。最后,通过仿真算例对所提模型进行验证分析。仿真结果表明,通过所提模型寻优合理的售电价格可以实现各零售商自身售电利润的最大化,同时用户也能通过博弈模型得到最优的购电策略,以提升用电综合满意度。

关键词：电力零售商双重博弈碳约束价格决策需求响应

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计及实时碳减排的产消群价格型需求响应机制

上海交通大学学报 2023年第4期57卷 452-463页

作者：朱月尧祁佟吴星辰刘迪华昊辰国网江苏省电力有限公司淮安供电分公司江苏淮安210000 山东科技大学智能装备学院山东泰安271019 清华大学自动化系北京100084 河海大学能源与电气学院南京211100

随着电力市场不断发展,电价机制不断得到完善,但在电价机制制定的过程中未将碳排放因素考虑在内,电价和碳排放成本在需求侧耦合方面的研究尚有欠缺.以更好地推动碳减排为目标,在产消者负荷调节优化过程中充分考虑产消者差异化的特性,提... 详细信息

随着电力市场不断发展,电价机制不断得到完善,但在电价机制制定的过程中未将碳排放因素考虑在内,电价和碳排放成本在需求侧耦合方面的研究尚有欠缺.以更好地推动碳减排为目标,在产消者负荷调节优化过程中充分考虑产消者差异化的特性,提出考虑碳排放的价格型需求响应机制及边云协同优化策略.在保障公平性的前提下,利用所提出的碳-电折扣因子能使积极参与碳减排调节的产消者获得更多电价折扣.仿真实验表明:基于所提出的碳-电折扣因子的需求响应机制,在光伏发电量大于和小于需求量的情况下,售电商的效益分别可以提高2.4倍和0.9倍.

关键词：碳减排需求响应边云协同光伏发电

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人工智能在能源互联网中的应用综述

电力建设 2019年第5期40卷 63-70页

作者：肖泽青华昊辰曹军威清华大学信息技术研究院北京市100084 北京信息科学与技术国家研究中心北京市100084

人工智能技术具有高效解决复杂问题的突出优点。能源互联网是信息技术与能源相结合的产物,可以为消费者提供灵活的能源共享服务。由于可再生能源具有间歇性和波动性,对可再生能源的有效利用对能源供需信息的实时性要求越来越高,能源的... 详细信息

人工智能技术具有高效解决复杂问题的突出优点。能源互联网是信息技术与能源相结合的产物,可以为消费者提供灵活的能源共享服务。由于可再生能源具有间歇性和波动性,对可再生能源的有效利用对能源供需信息的实时性要求越来越高,能源的供需曲线也变得更加复杂多变,因此人工智能技术在能源互联网中具有广泛的应用前景。人工智能技术已经被广泛地应用于能源互联网领域中的系统建模、预测、控制和优化等方面。文章对人工智能技术在能源互联网典型应用场景的研究现状进行了综述,并对未来的发展方向进行了展望。

关键词：能源互联网人工智能深度学习神经网络机器学习

考虑用能经济性与用户满意度灵活协同的综合能源系统双层优化

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电网技术 2024年第10期48卷 4174-4184,I0065-I0067,I0064页

作者：华昊辰吴浩星陈星莺吴星辰余昆河海大学电气与动力工程学院江苏省南京市210098

在含氢能区域综合能源系统参与碳交易的能量协同优化过程中,用户经济性和满意度目标一致性动态变化,给含多决策变量的区域综合能源系统能量协同优化带来了挑战。为此,该文构建了包含氢能梯级利用的冷热电联产系统模型,提出了基于预测平... 详细信息

在含氢能区域综合能源系统参与碳交易的能量协同优化过程中,用户经济性和满意度目标一致性动态变化,给含多决策变量的区域综合能源系统能量协同优化带来了挑战。为此,该文构建了包含氢能梯级利用的冷热电联产系统模型,提出了基于预测平均投票数指标的用户综合需求响应策略,具体地,以上层综合能源运营商为领导者和下层用户聚合商为跟随者构建了主从双层博弈均衡模型,并采用基于成功历史的自适应差分进化算法嵌套CPLEX求解双方收益均衡化的交互策略。仿真结果表明该文所提策略提升了双方收益,且该文采用基于成功历史的自适应差分进化算法的求解时间分别比差分进化算法、遗传算法、自适应遗传算法减少了15.6%,8.6%,4.8%。

关键词：区域综合能源系统能量协同碳交易基于成功历史的自适应差分进化

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共识边缘计算及其在能源互联网中的应用

电力建设 2021年第2期42卷 116-125页

作者：王同贺华昊辰曹军威清华大学自动化系北京市100084 河海大学能源与电气学院南京市210098 清华大学北京信息科学与技术国家研究中心北京市100084

边缘计算和共识是分布式计算领域的2个重要研究课题。边缘计算将一部分资源下放到靠近终端设备的边缘侧以提高计算效率和质量,共识通过实现分布式个体状态的一致性为分布式系统提供安全保障。在简要综述相关文献的基础上,总结和分析了... 详细信息

边缘计算和共识是分布式计算领域的2个重要研究课题。边缘计算将一部分资源下放到靠近终端设备的边缘侧以提高计算效率和质量,共识通过实现分布式个体状态的一致性为分布式系统提供安全保障。在简要综述相关文献的基础上,总结和分析了边缘计算与共识的互惠关系:边缘计算架构为共识算法研究提供了理论模型的创新,共识为边缘计算提供了理想的系统安全性。将边缘计算和共识算法有机地进行结合,提出"共识边缘计算"的概念,在能源互联网的背景下对这种结合的应用进行展望性分析,并进一步列举可能的发展方向。

关键词：边缘计算共识能源互联网物联网分布式算法区块链