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Review of stochastic optimization methods for smart grid

S. Surender REDDY, Vuddanti SANDEEP, Chan-Mook JUNG

Frontiers in Energy 2017, Volume 11, Issue 2, Pages 197-209 doi: 10.1007/s11708-017-0457-7

Abstract: It gives an idea about stochastic programming (SP) and discusses the formulations given by differentThis review of different optimization techniques will be helpful for smart grid development including

Keywords： renewable energy sources stochastic optimization smart grid uncertainty optimal power flow (OPF)

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Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4, Pages 408-417 doi: 10.15302/J-FEM-2017042

Abstract: Train speed trajectory optimization is a significant issue in railway traffic systems, and it plays aThe problem of interest is formulated as a stochastic constrained shortest path problem with travel time

Keywords： train speed trajectory optimization railway operation stochastic programming

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Finite element model updating of a large structure using multi-setup stochastic subspace identificationmethod and bees optimization algorithm

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4, Pages 965-980 doi: 10.1007/s11709-019-0530-x

Abstract: In the present contribution, operational modal analysis in conjunction with bees optimization algorithmfrequencies calculated by finite element method and operational modal analysis, which is optimized using bees optimizationThe natural frequencies of the solar power plant structure are estimated by multi-setup stochastic subspaceThe results indicate that, bees optimization algorithm leads accurate results with fast convergence.

Keywords： operational modal analysis solar power plant structure multi-setup stochastic subspace bees optimization

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Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 9, Pages 1239-1252 doi: 10.1631/FITEE.2200381

Abstract: In this paper, we address matrix-valued distributed stochastic optimization with inequality and equalityconstraints, where the objective function is a sum of multiple matrix-valued functions with stochasticA distributed optimization algorithm based on the gossip model is developed for solving the stochasticoptimization problem, and its convergence to the optimal solution is analyzed rigorously.

Keywords： Distributed optimization Matrix-valued optimization Stochastic optimization Penalty method Gossip model

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Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energyresources using interactive honey bee mating optimization

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Frontiers in Energy 2014, Volume 8, Issue 4, Pages 412-425 doi: 10.1007/s11708-014-0315-9

Abstract: This paper presents a novel modified interactive honey bee mating optimization (IHBMO) base fuzzy stochastic

Keywords： component distributed energy resources fuzzy optimization loss reduction interactive honey bee matingoptimization (IHBMO) voltage deviation reduction stochastic programming

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Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach

Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 3, Pages 333-341 doi: 10.1007/s11708-013-0259-5

Abstract: In this paper DP is used to solve the stochastic model of UC problem.The stochastic modeling for load and generation side has been formulated using an approximate state decisionThe novelty of this paper lies in the fact that DP is used for solving the stochastic UC problem.

Keywords： unit commitment (UC) deterministic stochastic dynamic programming (DP) optimization state diagram

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A robust optimization model considering probability distribution

Ding Ran,Li Qiqiang,Zhang Yuanpeng

Strategic Study of CAE 2008, Volume 10, Issue 9, Pages 70-73

Abstract:

Robust optimization is a method to process optimization problem underThe current robust optimization methods have some deficiencies in application conditions and probabilitytwo kinds of robust constraints according to two different kinds of probability distribution of the stochasticparameters are proposed, and a novel robust optimization model is proposed.This model can be used in the situations that both sides of the constraints contain stochastic parameters

Keywords： uncertainty robust optimization stochastic programming chance constraints

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Special Column on Multiscale Stochastic Finite Element Method

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 105-106 doi: 10.1007/s11709-015-0297-7

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Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 2, Pages 177-187 doi: 10.15302/J-FASE-2017177

Abstract: On this basis, an inexact two-stage stochastic programming (ITSP) model is used for crop planting structureoptimization (CPSO) with the inputs that are interval flow values under different probabilities obtainedsystem, in which the UMLR model for runoff forecasting and the ITSP model for crop planting structure optimization

Keywords： crop planting structure optimization inexact two-stage stochastic programming runoff forecasting Shiyang

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Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA,K. OKUDA,K. IKEDA

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 141-153 doi: 10.1007/s11709-014-0286-2

Abstract: This paper discusses a multiscale stochastic analysis of a laminated composite plate consisting of unidirectionalLaminated composites are widely used in civil engineering, and therefore multiscale stochastic analysisThis study deals with the stochastic response of a laminated composite plate against the microscopicrandom variation in addition to a random variation of fiber orientation in each lamina, and stochasticFrom the numerical results, importance of the multiscale stochastic analysis for reliability evaluation

Keywords： stochastic homogenization multiscale stochastic analysis microscopic random variation laminated composite

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Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure

Wei GUO, Zhiwu YU

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 4, Pages 379-384 doi: 10.1007/s11709-012-0180-8

Abstract: Based on this drawback, a new, more efficient stochastic calculation method, an improvement on the pseudo-excitationshown that the presented method can produce accurate results while increasing the efficiency of the stochastic

Keywords： isolated structure stochastic response non-proportional damping efficient accurate pseudo-excitation

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A solution to the unit commitment problem—a review

B. SARAVANAN, Siddharth DAS, Surbhi SIKRI, D. P. KOTHARI

Frontiers in Energy 2013, Volume 7, Issue 2, Pages 223-236 doi: 10.1007/s11708-013-0240-3

Abstract: Unit commitment (UC) is an optimization problem used to determine the operation schedule of the generatingMany algorithms have been invented in the past five decades for optimization of the UC problem, but stillfocuses on providing a clear review of the latest techniques employed in optimizing UC problems for both stochastic

Keywords： unit commitment (UC) optimization deterministic load stochastic load evolutionary programming (EP) hybrid

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Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 295-303 doi: 10.15302/J-FEM-2017047

Abstract: This paper presents a review of methodologies for analyzing stochastic manufacturing and service systemsOn the basis of the scale and level of details of operations, we can study stochastic systems using microSuch a classification unifies stochastic modeling theory.Researchers in operation analytics and optimization of manufacturing and logistics also benefit from

Keywords： stochastic modeling QBD process PH distribution heavy traffic limits diffusion process

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Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 214-220 doi: 10.1007/s42524-022-0192-6

Abstract: In the majority of the previous works on discrete-event stochastic systems, they have been assumed toand we discuss the difficulties and possible future research topics in the study of discrete-event stochastic

Keywords： discrete-event stochastic system correlated input performance evaluation

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Stochastic extra-gradient based alternating direction methods for graph-guided regularizedminimization None

Qiang LAN, Lin-bo QIAO, Yi-jie WANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 755-762 doi: 10.1631/FITEE.1601771

Abstract: In this study, we propose and compare stochastic variants of the extra-gradient alternating directionmethod, named the stochastic extra-gradient alternating direction method with Lagrangian function (SEGL) and the stochastic extra-gradient alternating direction method with augmented Lagrangian function (SEGAL), to minimize the graph-guided optimization problems, which are composited with two convex objectiveA number of important applications in machine learning follow the graph-guided optimization formulation

Keywords： Stochastic optimization Graph-guided minimization Extra-gradient method Fused logistic regression Graph-guided

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Title Author Date Type Operation

Review of stochastic optimization methods for smart grid

S. Surender REDDY, Vuddanti SANDEEP, Chan-Mook JUNG

Journal Article

Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Journal Article

Finite element model updating of a large structure using multi-setup stochastic subspace identificationmethod and bees optimization algorithm

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Journal Article

Matrix-valued distributed stochastic optimization with constraints

夏子聪,刘洋,卢文联,桂卫华

Journal Article

Fuzzy stochastic long-term model with consideration of uncertainties for deployment of distributed energyresources using interactive honey bee mating optimization

Iraj AHMADIAN,Oveis ABEDINIA,Noradin GHADIMI

Journal Article

Unit commitment using dynamic programming–an exhaustive working of both classical and stochastic approach

Balasubramaniyan SARAVANAN, Surbhi SIKRI, K. S. SWARUP, D. P. KOTHARI

Journal Article

A robust optimization model considering probability distribution

Ding Ran,Li Qiqiang,Zhang Yuanpeng

Journal Article

Special Column on Multiscale Stochastic Finite Element Method

Journal Article

Integrated uncertain models for runoff forecasting and crop planting structure optimization of the Shiyang

Fan ZHANG, Mo LI, Shanshan GUO, Chenglong ZHANG, Ping GUO