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Stochastic optimization of cost-risk for integrated energy system considering wind and solar power correlated

Journal of Modern Power Systems and Clean Energy 2019年第6期7卷 1472-1483页

作者： jiehui zheng Yanni KOU Mengshi LI Qinghua WU School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China

Due to the growing penetration of renewable energies(REs)in integrated energy system(IES),it is imperative to assess and reduce the negative impacts caused by the uncertain *** this paper,an unscented transformation-based mean-standard(UT-MS)deviation model is proposed for the stochastic optimization of cost-risk for IES operation considering wind and solar power *** unscented transformation(UT)sampling method is adopted to characterize the uncertainties of wind and solar power considering the correlated relationship between *** on the UT,a mean-standard(MS)deviation model is formulated to depict the trade-off between the cost and risk of stochastic optimization for the IES optimal operation *** the UT-MS model is tackled by a multi-objective group search optimizer with adaptive covariance and Levy flights embedded with a multiple constraints handling technique(MGSO-ACL-CHT)to ensure the feasibility of Peratooptimal ***,a decision-making method,improved entropy weight(IEW),is developed to select a final operation point from the set of Perato-optimal *** order to verify the feasibility and efficiency of the proposed UT-MS model in dealing with the uncertainties of correlative wind and solar power,simulation studies are conducted on a test *** results show that the UT-MS model is capable of handling the uncertainties of correlative wind and solar power within much less samples and less computational ***,the MGSOACL-CHT and IEW are also demonstrated to be effective in solving the multi-objective UT-MS model of the IES optimal operation problem.

关键词： Integrated energy system Renewable energies Unscented transformation Mean-standard deviation Multi-objective optimization Decision making

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Decentralized State Estimation of Combined Heat and Power System Considering Communication Packet Loss

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Journal of Modern Power Systems and Clean Energy 2020年第4期8卷 646-656页

作者： Wenjian zheng Zhigang Li Xinyu Liang jiehui zheng Q.H.Wu Fan Hu School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China Guangzhou Power Supply Guangdong Power Grid Co.Ltd.Guangzhou 510000China

In order to obtain an accurate state estimation of the operation in the combined heat and power system,it is necessary to carry out state *** to the limited information sharing among various energy systems,it is practical to perform state estimation in a decentralized ***,the possible communication packet loss is seldomly considered among various energy *** paper bridges this gap by proposing a relaxed alternating direction method of multiplier *** can also improve the computation efficiency compared with the conventional alternating direction of the multiplier *** studies of two test systems are carried out to show the validity and superiority of the proposed algorithm.

关键词： Alternating direction of multiplier algorithm combined heat and power system communication packet loss decentralized optimization state estimation

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Many-objective Optimization Method Based on Dimension Reduction for Operation of Large-scale Cooling Energy Systems

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CSEE Journal of Power and Energy Systems 2023年第3期9卷 884-895页

作者： Peng Zhu Lixiao Wang Cuiqing Wu Jinyu Yu Zhigang Li jiehui zheng Qing-Hua Wu School of Electric Power Engineering South China University of TechnologyGuangzhou 510640China

Large-scale cooling energy system has developed well in the past ***,its optimization is still a problem to be tackled due to the nonlinearity and large scale of existing *** the scale of problems without oversimplifying the actual system model is a big challenge *** paper proposes a dimension reduction-based many-objective optimization(DRMO)method to solve an accurate nonlinear model of a practical large-scale cooling energy *** the first stage,many-objective and many-variable of the large system are pre-processed to reduce the overall scale of the optimization *** relationships between many objectives are analyzed to find a few representative *** control variables are extracted to reduce the dimension of variables and the number of equality *** the second stage,the manyobjective group search optimization(GSO)method is used to solve the low-dimensional nonlinear model,and a Pareto-front is *** the final stage,candidate solutions along the Paretofront are graded on many-objective levels of system *** candidate solution with the highest average utility value is selected as the best running *** are carried out on a 619-node-614-branch cooling system,and results show the ability of the proposed method in solving large-scale system operation problems.

关键词： Dimension reduction group search optimization large-scale cooling energy system many-objective optimization

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Reserve Constrained Dynamic Economic Dispatch with Valve-point Effect:A Two-stage Mixed Integer Linear Programming Approach

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CSEE Journal of Power and Energy Systems 2017年第2期3卷 203-211页

作者： Zhaolong Wu Jianying Ding Q.H.Wu Zhaoxia Jing jiehui zheng School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China Power Generation Commercial Division Guangdong Yudean Group Co.LTDGuangzhou 510630China

This paper proposes a deterministic two-stage mixed integer linear programming(TSMILP)approach to solve the reserve constrained dynamic economic dispatch(DED)problem considering valve-point effect(VPE).In stage one,the nonsmooth cost function and the transmission loss are piecewise linearized and consequently the DED problem is formulated as a mixed integer linear programming(MILP)problem,which can be solved by commercial *** stage two,based on the solution obtained in stage one,a range compression technique is proposed to make a further exploitation in the subspace of the whole solution *** to the linear approximation of the transmission loss,the solution obtained in stage two dose not strictly satisfies the power balance ***,a forward procedure is employed to eliminate the *** simulation results on four test systems show that TSMILP makes satisfactory performances,in comparison with the existing methods.

关键词： Dynamic economic dispatch mixed integer linear programming valve-point effect spinning reserve transmission loss non-convex optimization

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Optimal Operation of Integrated Energy Systems Subject to Coupled Demand Constraints of Electricity and Natural Gas

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CSEE Journal of Power and Energy Systems 2020年第2期6卷 444-457页

作者： Yingjie Qin Lilan Wu jiehui zheng Mengshi Li Zhaoxia Jing Q.H.Wu Xiaoxin Zhou Feng Wei School of Electric Power Engineering South China University of TechnologyGuangzhou 510641China China Electric Power Research Institute Beijing 100192China

This paper proposes a hybrid multi-objective optimization and game-theoretic approach(HMOGTA)to achieve the optimal operation of integrated energy systems(IESs)consisting of electricity and natural gas(E&G)utility networks,multiple distributed energy stations(DESs),and multiple energy users(EUs).The HMOGTA aims to solve the coordinated operation strategy of the electricity and natural gas networks considering the demand characteristics of DESs and *** the HMOGTA,a hierarchical Stackelberg game model is developed for generating equilibrium strategies of DESs and EUs in each district energy network(DEN).Based on the game results,we obtain the coupling demand constraints of electricity and natural gas(CDCENs)which reflect the relationship between the amounts and prices of electricity and cooling(E&C)that DESs purchase from utility ***,the minimization of conflicting costs of E&G networks considering the CDCENs are solved by a multi-objective optimization method.A case study is conducted on a test IES composed of a 20-node natural gas network,a modified IEEE 30-bus system,and 3 DENs,which verifies the effectiveness of the proposed HMOGTA to realize fair treatment for all participants in the IES.

关键词： Coupling demand constraints of electricity and natural gas coupling demand characteristics integrated energy system multi-objective optimization Stackelberg game

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Coordinated Scheduling of Energy Resources for Distributed DHCs in an Integrated Energy Grid

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CSEE Journal of Power and Energy Systems 2015年第1期1卷 95-103页

作者： Qinghua Wu jiehui zheng Zhaoxia Jing School of Electric Power Engineering.South China University of Technology Guangzhou510641.P.R.China

As more and more distributed renewable energy resources connected to electric power grids,the conventional power system evolves into an integrated energy grid(IEG)in order to satisfy various types of energy *** paper proposes a model of the coordinated scheduling of energy resources(CSoERs)for distributed district heating and cooling systems(DHCs)in an *** model takes into consideration both the dispatchable grid-connected generators and distributed renewable energy resources,such as wind energy,solar energy and natural *** objective is to minimize the operation costs in the IEG in order to satisfy not only the electrical loads but also the heating loads and cooling ***,an energy storage system for heating loads and cooling loads is also developed in the DHCs to improve the operation reliability in the distributed *** simulation studies are carried out to verify the effectiveness of the CSoERs under two different operation scenarios:grid-connected scenario and stand-alone *** results demonstrate that the performance of the CSoERs contributes to significant energy saving and reliability operation in both grid-connected scenario and standalone scenario in the IEG.

关键词： Coordinated power scheduling district heating and cooling energy storage system integrated energy system renewable resources

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人工智能语音技术在水务客服领域的应用研究

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给水排水 2020年第4期46卷 150-153页

作者：郑杰慧楼锴杭州萧山供水有限公司杭州311200

近年来,人工智能技术迅猛发展,智能语音人机交互技术是炙手可热的技术之一。以萧山供水为例,主要阐述智能语音人机交互技术的产业发展现状,分析其在水务客服领域的应用实践,提出在实际应用过程中的相关建议。

关键词：人工智能智能语音技术水务企业客服

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含储能接入的三相配电网分布式可再生能源可调度域建模与计算

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电网技术 2024年第7期48卷 2765-2774,I0039-I0041页

作者：李舒涵黄文靖李志刚郑杰辉华南理工大学电力学院广东省广州市510641

分布式可再生能源(distributed renewable energy,DRE)发电可调度域用于定量描述电力系统适应DRE发电不确定性的能力。目前可调度域的相关研究聚焦于采用单相模型描述输电系统,鲜有讨论具有高阻抗比与三相不平衡特性的配电网,亦未计及... 详细信息

分布式可再生能源(distributed renewable energy,DRE)发电可调度域用于定量描述电力系统适应DRE发电不确定性的能力。目前可调度域的相关研究聚焦于采用单相模型描述输电系统,鲜有讨论具有高阻抗比与三相不平衡特性的配电网,亦未计及储能系统广泛接入所带来的影响,因此难以准确地应用于新型配电网分析。针对上述问题,该文建立了含储能接入的配电系统可调度域数学模型,充分考虑了配电网相间耦合与三相不平衡特点以及储能系统的充放互补特性;采用凸包松弛和多面体外近似重构配电网交流潮流模型,并通过凸包络近似替代处理储能的互补松弛约束,得到配电网可调度域的多面体外近似模型,从而由自适应约束生成算法构建其线性边界。算例仿真结果表明所提出模型能较好地适应含储能接入的三相配电网可调度域分析,并验证了所提出方法的结果准确性与计算效率。

关键词：可调度域分布式可再生能源发电配电网三相不平衡储能系统

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ISCSI磁盘数据双控制器存储完整性测试技术研究

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计算机测量与控制 2018年第12期26卷 63-66页

作者：郑杰辉厦门海洋学院信息技术系福建厦门361000

传统的ISCSI磁盘数据双控制器在存储数据时存在响应速度慢、数据丢帧等问题,为了改善传统方法在数据存储时遇到的这些问题,提出一种ISCSI磁盘数据双控制器存储完整性测试技术,在原始的磁盘数据双控制器存储系统中增加一种对数据完整性... 详细信息

传统的ISCSI磁盘数据双控制器在存储数据时存在响应速度慢、数据丢帧等问题,为了改善传统方法在数据存储时遇到的这些问题,提出一种ISCSI磁盘数据双控制器存储完整性测试技术,在原始的磁盘数据双控制器存储系统中增加一种对数据完整性进行测试的技术,以达到提高存储响应时间,减小存储数据误差的目的;数据双控制器存储系统分为:数据采集、中心控制、动态存储、预警输出、网络接口及电源六大模块,通过采集模块获取存储信息,将采集到的数据经由中心控制模块进行去噪除杂等处理,将处理数据信息进行存储,当磁盘内存不够时,可由预警模块给出相应警告,通过网络接口扩展磁盘空间同时清除缓存,获得存储空间,电源模块为整个系统供电;实验结果表明,所提算法能够有效降低系统响应时间,获得完整的存储数据,同时数据丢帧率在0.05%以内。

关键词： ISCSI磁盘数据双控制器缓存队列长度

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基于FPGA的遥测系统数据存储器控制模块设计

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计算机测量与控制 2019年第8期27卷 94-98页

作者：郑杰辉厦门海洋学院信息技术系

针对当前遥感系统存储器早期控制模块存在控制效率低的问题,提出了基于FPGA的遥测系统数据存储器控制模块设计;根据模块总体设计方案,设计模块结构和功能;其中模块结构是由自体测试接口模块、低速读写控制模块、高速流读写控制模块组成... 详细信息

针对当前遥感系统存储器早期控制模块存在控制效率低的问题,提出了基于FPGA的遥测系统数据存储器控制模块设计;根据模块总体设计方案,设计模块结构和功能;其中模块结构是由自体测试接口模块、低速读写控制模块、高速流读写控制模块组成的,以SATA2.0接口为存储介质设计控制器,构建不同帧,进行数据间传输转换;设计稳态触发接口电路,达到高速流读写控制触发目的;根据软件主流程,在组合逻辑中插入寄存器使逻辑延迟,实现FPGA时序控制;采用分时操作方法,对命令层中控制器读写模式进行控制,实现传输层完成帧的控制收发;由实验结果可知,该模块最高控制效率优于传统模块,为数据高效存储提供支持。

关键词： FPGA 遥测系统数据存储控制介质

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