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High Voltage 2023年第5期8卷 1041-1054页

作者： Lijun Zhou Jun Zhang Zhixin Li Rongting Wen Dongyang Wang jiekang wu Huiling Tang School of Electrical Engineering Southwest Jiaotong UniversityChengduChina School of Automation Guangdong University of TechnologyGuangzhouChina School of Physics and Optoelectronic Engineering Guangdong University of TechnologyGuangzhouChina

Frequency domain dielectric spectroscopy(FDS)is an effective method reflecting the changes of ageing status of silicone oil‐immersed insulation *** better evaluating the ageing status of silicone oil‐immersed insulation paper,an evaluation method was studied by analysing the ageing kinetic model and results of ***,the method to separate the different polarization losses and conductivity loss from the results of FDS was ***,based on the idea of ageing correction translation coefficient and timevarying pre exponential factor,the zero order ageing dynamic model was modified,which combines the ageing kinetic model with the results of ***,the evaluation method for the degree of polymerisation(DP)of silicone oil‐immersed paper was proposed,and experiments were conducted to obtain the parameters in the modified model and then to verify the proposed *** results show that the proposed method can be used to evaluate the DP effectively.

关键词： immersed insulation spectroscopy

Optimal Scheduling Strategy for Energy Consumption Minimization of Hydro-Thermal Power Systems

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Energy and Power Engineering 2009年第1期1卷 54-64页

作者： jiekang wu School of Electrical Engineering Guangxi University

A comparison analysis based method for computing the water consumption volume needed for electric energy production of optimal scheduling in hydro-thermal power systems is presented in this paper. The electric energy produced by hydroelectric plants and coal-fired plants is divided into 4 components: potential energy, kinetic energy, water-deep pressure energy and reservoir energy. A new and important concept, reservoir energy, is proposed, based on which is divided into a number of water bodies, for example 3 water bodies, and a reservoir is analyzed in a new way. This paper presents an optimal scheduling solution of elec-tric energy production of hydro-thermal power systems based on multi-factors analytic method, in which some important factors, such as load demand, reservoir in-flow, water consumption volume increment rate of hydroelectric plants or converted from coal-fired plants, and so on are given to model the objective function and the constraints. A study example with three simulation cases is carried out to illustrate flexibility, adapta-bility, applicability of the proposed method.

关键词： hydro-thermal power systems optimal electric energy production water consumption volume

Carbon efficiency evaluation method for urban energy system with multiple energy complementary

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Global Energy Interconnection 2024年第2期7卷 142-154页

作者： Xianan Jiao jiekang wu Yunshou Mao Mengxuan Yan School of Automation Guangdong University of TechnologyGuangzhou 510006P.R.China Guangzhou Power Supply Bureau Guangdong Power Grid CompanySouth China Power GridGuangzhou 510660P.R.China School of Electronic Information and Electrical Engineering Huizhou UniversityHuizhou 516007P.R.China

Urban energy systems(UESs)play a pivotal role in the consumption of clean energy and the promotion of energy cascade *** the context of the construction and operation strategy of UESs with multiple complementary energy resources,a comprehensive assessment of the energy efficiency is of paramount ***,a multi-dimensional evaluation system with four primary indexes of energy utilization,environmental protection,system operation,and economic efficiency and 21 secondary indexes is constructed to comprehensively portray the *** that the evaluation system may contain a large number of indexes and that there is overlapping information among them,an energy efficiency evaluation method based on data processing,dimensionality reduction,integration of combined weights,and gray correlation analysis is *** method can effectively reduce the number of calculations and improve the accuracy of energy efficiency ***,a demonstration project for a UES in China is *** energy efficiency of each scenario is assessed using six operational *** results show that Scenario 5,in which parks operate independently and investors build shared energy-storage equipment,has the best results and is best suited for green and low-carbon *** results of the comparative assessment methods show that the proposed method provides a good energy efficiency *** study provides a reference for the optimal planning,construction,and operation of UESs with multiple energy sources.

关键词： Urban energy systems(UESs) Multiple energy complementary system Carbon efficiency evaluation Data downscaling Subjective and objective weight Gray correlation analysis

A robust optimization model for demand response management with source-grid-load collaboration to consume wind-power

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Global Energy Interconnection 2023年第6期6卷 738-750页

作者： Xiangfeng Zhou Chunyuan Cai Yongjian Li jiekang wu Yaoguo Zhan Yehua Sun Zhongshan Power Supply Bureau of Guangdong Power Grid Co. Ltd.Zhongshan 528401GuangdongP.R.China School of Automation Guangdong University of TechnologyGuangzhou 510006GuangdongP.R.China

To accommodate wind power as safely as possible and deal with the uncertainties of the output power of winddriven generators,a min-max-min two-stage robust optimization model is presented,considering the unit commitment,source-network load collaboration,and control of the load demand *** the constraint functions are linearized,the original problem is decomposed into the main problem and subproblem as a matrix using the strong dual *** minimum-maximum of the original problem was continuously maximized using the iterative method,and the optimal solution was finally *** constraint conditions expressed by the matrix may reduce the calculation time,and the upper and lower boundaries of the original problem may rapidly *** results of the example show that the injected nodes of the wind farms in the power grid should be selected appropriately;otherwise,it is easy to cause excessive accommodation of wind power at some nodes,leading to a surge in reserve costs and the load demand response is continuously optimized to reduce the inverse peak regulation characteristics of wind ***,the most economical optimization scheme for the worst scenario of the output power of the generators is obtained,which proves the economy and reliability of the two-stage robust optimization method.

关键词： Renewable power system Optimal dispatching Wind-power consumption Source-grid-load collaboration Load demand response Two-stage robust optimization model

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风、水、气互补发电模型的建立及求解

电网技术 2014年第3期38卷 603-609页

作者：吴杰康熊焰广东工业大学自动化学院广东省广州市510006

提出了风、水、气多种清洁能源互补发电模型,以一次能源天然气的消耗量最低为目标函数,并将风能全部接纳和水能全部使用作为约束条件,构建含风水气多种清洁能源互补发电的优化模型。采用模拟退火粒子群算法求解该模型,该算法前期全局搜... 详细信息

提出了风、水、气多种清洁能源互补发电模型,以一次能源天然气的消耗量最低为目标函数,并将风能全部接纳和水能全部使用作为约束条件,构建含风水气多种清洁能源互补发电的优化模型。采用模拟退火粒子群算法求解该模型,该算法前期全局搜索能力强并有利于跳出局部最优;后期局部搜索能力好且接受非优解的概率逐渐减小,进化速度快。算例结果验证了所建模型及算法的可行性。

关键词：清洁能源风水气互补发电模拟退火PSO算法旋转备用调峰

基于数据包络分析的梯级水电站发电效率优化模型

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中国电机工程学报 2011年第S1期31卷 30-37页

作者：吴杰康严进广东工业大学自动化学院广东省广州市510006 广西大学电气工程学院广西壮族自治区南宁市530004

梯级水电站群发电效率优化将极大地提高清洁生产和可再生能源的利用水平。针对梯级水电站群水系统关联特征和耦合特性,提出一套新的基于数据包络分析(data envelop-ment analysis,DEA)的梯级水电站群效率分析指标体系,并根据此指标体系... 详细信息

梯级水电站群发电效率优化将极大地提高清洁生产和可再生能源的利用水平。针对梯级水电站群水系统关联特征和耦合特性,提出一套新的基于数据包络分析(data envelop-ment analysis,DEA)的梯级水电站群效率分析指标体系,并根据此指标体系建立适应的梯级水电站多目标优化调度模型;运用CCR模型、BCC模型以及超效率DEA模型对历史运行数据和优化调度数据进行效率的评价和分析,指出梯级水电站在不同的运行状态下效率的合理性;分析产生非效率的原因,验证指标体系的正确性;通过超效率值的分析验证优化调度模型的合理性,并指出优化调度可提高梯级水电站群的运行效率。最后提出基于DEA效率分析的梯级水电站群优化调度思路。

关键词：梯级水电站群数据包络分析超效率数据包络分析发电效率指标

风水气互补发电优化的云模型自适应粒子群优化算法

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中国电机工程学报 2014年第S1期34卷 17-24页

作者：吴杰康熊焰广东工业大学自动化学院广东省广州市510006

提出一种改进的自适应粒子群优化(particle swarm optimization,PSO)算法,对基本PSO算法中的惯性权重系数作云处理。由于云模型具有随机性和稳定倾向性,使得处理后的惯性权重既具有传统的趋向性,满足快速寻优能力,又具有随机性,有利于... 详细信息

提出一种改进的自适应粒子群优化(particle swarm optimization,PSO)算法,对基本PSO算法中的惯性权重系数作云处理。由于云模型具有随机性和稳定倾向性,使得处理后的惯性权重既具有传统的趋向性,满足快速寻优能力,又具有随机性,有利于提高种群的多样性,提高收敛速度。在对认知系数和社会系数的处理上,考虑两者的相互关联性,在坐标平面内构造收敛曲线,让两者沿收敛曲线随时间动态调整,使得算法在进化过程中既能够保证收敛,又提高了算法性能。建立了风、水、气多种清洁能源互补的发电模型。模型考虑风电预测的随机误差,以一次能源天然气的消耗量最低为目标函数,约束条件包含了风能、水能等清洁能源的完全消纳。通过云模型粒子群算法求解该模型,并与基本遗传算法和PSO算法的结果进行比较,验证了所建模型可行性和算法的有效性。

关键词：风水气互补发电云模型自适应粒子群优化算法

文化算法及其在梯级水电站长期优化调度中的应用

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电工技术学报 2011年第3期26卷 182-190页

作者：吴杰康孔繁镍广西大学电气工程学院南宁530004 广西民族大学物理与电气工程学院南宁530006

针对梯级水电站长期优化调度难处理的多变量、高维数问题,根据文化算法(CA)原理,利用进化规划模式在群体空间产生群体,设计接受函数选择优秀群体的经验并提炼为信念空间的环境知识和标准知识,通过施加小扰动信号方式解决信念空间可能出... 详细信息

针对梯级水电站长期优化调度难处理的多变量、高维数问题,根据文化算法(CA)原理,利用进化规划模式在群体空间产生群体,设计接受函数选择优秀群体的经验并提炼为信念空间的环境知识和标准知识,通过施加小扰动信号方式解决信念空间可能出现的局部收敛问题,再设计影响函数指导群体空间群体进化;首次把该算法应用于梯级水电站长期优化调度问题。构建了包括水电站水头特性数学模型、水库蓄水量数学模型及以年发电量最大为目标函数的梯级水电站长期调度模型。应用于一个三梯级水电站优化调度的仿真结果表明:与自适应权重粒子群算法Ⅰ(AWPSO-I)、自适应权重粒子群算法Ⅱ及混沌粒子群算法(CPSO-Ⅱ)相比,文化算法具有很好的全局搜索、局部搜索能力及收敛速度,在满足约束的条件下,文化算法的调度结果分别比AWPSO-Ⅱ、CPSO算法的调度结果增加年发电量2.32亿kW.h、0.51亿kW.h,为解决大规模梯级水电站优化调度问题提供了新的方法与思路。

关键词：文化算法群体空间信念空间梯级水电站自适应权重粒子群算法混沌粒子群算法

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含不确定性负荷的水火电力系统随机优化调度

中国电机工程学报 2012年第28期32卷 36-43,21页

作者：吴杰康唐力广东工业大学自动化学院广东省广州市510006 广西右江水利开发有限责任公司广西壮族自治区南宁市530026

针对水火电力系统负荷的不确定性,建立基于模糊机会约束规划的随机优化调度模型,分析负荷不确定性变化对水火电机组出力及火电机组能耗量、排放量的影响。将实际负荷与负荷预测的偏差看成一个模糊随机变量,并在火电机组煤耗量最小化、... 详细信息

针对水火电力系统负荷的不确定性,建立基于模糊机会约束规划的随机优化调度模型,分析负荷不确定性变化对水火电机组出力及火电机组能耗量、排放量的影响。将实际负荷与负荷预测的偏差看成一个模糊随机变量,并在火电机组煤耗量最小化、污染物排放最小化和水库蓄水量最大化3个目标函数中及功率平衡、机组出力调整等约束条件函数中均引入负荷这一随机变量。按照模糊机会约束和随机机会约束的确定性等价形式,将水火电力系统优化调度的不确定模型转化为确定性模型,并利用多目标问题的模糊满意度法进行求解。以一个8级梯级水电站和6台火电机组组成的水火电力系统为实例进行计算,验证所提出含不确定性负荷的水火电力系统随机调度模型的准确性和可行性。

关键词：水火电力系统随机优化调度:随机负荷:模糊机会约束规划

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基于收益最大化的水火电联合调度模型

电工技术学报 2010年第7期25卷 150-158页

作者：吴杰康曾建广西大学电气工程学院南宁530004

以水火电力系统联合调度问题作为研究对象,寻求实现收益最大化的联合调度方案的确定方法。以水电站的水电能转换机理作为研究水电站出力的基础,剖析了水库水流动能、势能、压能及水库能对水电能转换的作用机制,建立水库水能形成模型和... 详细信息

以水火电力系统联合调度问题作为研究对象,寻求实现收益最大化的联合调度方案的确定方法。以水电站的水电能转换机理作为研究水电站出力的基础,剖析了水库水流动能、势能、压能及水库能对水电能转换的作用机制,建立水库水能形成模型和发电模型,确定水库各参数对水电站出力的影响关系。综合考虑水火电单位时间出力所获效益的衡量方法建立联合系统收益模型,利用序列二次规划法求解收益模型,并对求解所得的优化结果进行分析,以此论证所建的收益最大化模型的合理性和求解方法的可行性,为解决实际水火电力系统联合调度问题提供了一定的理论支持和可行性方法。

关键词：水火电力系统联合调度收益最大化水电能转换