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Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm
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作者 Ali S.Alghamdi Mohana Alanazi +4 位作者 Abdulaziz Alanazi Yazeed Qasaymeh Muhammad Zubair Ahmed Bilal Awan M.G.B.Ashiq 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第12期2163-2192,共30页
To maximize energy profit with the participation of electricity,natural gas,and district heating networks in the day-ahead market,stochastic scheduling of energy hubs taking into account the uncertainty of photovoltai... To maximize energy profit with the participation of electricity,natural gas,and district heating networks in the day-ahead market,stochastic scheduling of energy hubs taking into account the uncertainty of photovoltaic and wind resources,has been carried out.This has been done using a new meta-heuristic algorithm,improved artificial rabbits optimization(IARO).In this study,the uncertainty of solar and wind energy sources is modeled using Hang’s two-point estimating method(TPEM).The IARO algorithm is applied to calculate the best capacity of hub energy equipment,such as solar and wind renewable energy sources,combined heat and power(CHP)systems,steamboilers,energy storage,and electric cars in the day-aheadmarket.The standard ARO algorithmis developed to mimic the foraging behavior of rabbits,and in this work,the algorithm’s effectiveness in avoiding premature convergence is improved by using the dystudynamic inertia weight technique.The proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO,particle swarm optimization(PSO),and salp swarm algorithm(SSA).The findings show that,in comparison to previous approaches,the suggested meta-heuristic scheduling framework based on the IARO has increased energy profit in day-ahead electricity,gas,and heating markets by satisfying the operational and energy hub limitations.Additionally,the results show that TPEM approach dependability consideration decreased hub energy’s profit by 8.995%as compared to deterministic planning. 展开更多
关键词 stochastic energy hub scheduling energy profit UNCERTAINTY hongs two-point estimate method improved artificial rabbits optimization
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基于点估计法的概率系统潮流计算 被引量:1
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作者 肖永 顾全 +4 位作者 文贤馗 林呈辉 徐梅梅 杨兆军 雷鸣 《电器与能效管理技术》 2016年第2期53-58,共6页
在Hong’s点估计法(H-PEM)理论分析的基础上,经仿真证明了采用点估计法来进行概率潮流分析的可行性。通过与蒙特卡洛模拟法潮流分析的结果进行对比,说明了采用H-PEM法进行概率潮流分析可以取得良好效果。
关键词 电力系统 hongs点估计法 概率潮流 可行性
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Analysis and Numerical Approximation of an Electro-Elastic Frictional Contact Problem 被引量:1
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作者 El-H.Essoufi El-H.Benkhira R.Fakhar 《Advances in Applied Mathematics and Mechanics》 SCIE 2010年第3期355-378,共24页
We consider a mathematical model which describes the static frictional contact between a piezoelectric body and a conductive foundation.A non linear electro-elastic constitutive law is used to model the piezoelectric ... We consider a mathematical model which describes the static frictional contact between a piezoelectric body and a conductive foundation.A non linear electro-elastic constitutive law is used to model the piezoelectric material.The unilateral contact is modelled using the Signorini condition,nonlocal Coulomb friction law with slip dependent friction coefficient and a regularized electrical conductivity condition.Existence and uniqueness of a weak solution is established.A finite elements approximation of the problem is presented,a priori error estimates of the solutions are derived and a convergent successive iteration technique is proposed. 展开更多
关键词 Electro-elastic static problem piezoelectric materials unilateral contact nonlocal Coulomb’s friction variational inequality fixed point finite element approximation iterative method error estimates
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