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Real-Time Solution to Quadratically Constrained Quadratic Programs for Predictive Converter Control

Zhe Chen, Robin Verschueren, Stefan Alméer, Goran Banjac
2020 IFAC-PapersOnLine  
We develop two tailored algorithms based on the OSQP and HPIPM solvers to efficiently solve this QCQP.  ...  We develop two tailored algorithms based on the OSQP and HPIPM solvers to efficiently solve this QCQP.  ...  Application of MPC requires the solution of optimization problems in real time. The fast control frequencies of converters mean that the real-time optimization has to be performed at high speed.  ... 
doi:10.1016/j.ifacol.2020.12.252 fatcat:njcq66bdonfdlhf3w267ynkloq

Smart Grid Users Benefits Based on DSM Algorithm Mathematical Optimization Problems Studied

Chafaa Hamrouni
2020 Advances in Science, Technology and Engineering Systems  
A new solution based on an Energy Scheduling and Distributed Storage (ESDS) and Microgrid Energy Management Distributed Optimization Algorithm Demand Side Management (MEM-DOA DSM) algorithms Microgrid  ...  Energy Management Distributed Optimization Algorithm Demand Side Management that offers benefits to consumers, utility providers, policy makers and the environment Smart grid, Demand Side Management and  ...  The utility generation site can serve as spinning reserve to the utility grid, offers ramping advantage to the grid and support to distributed generation through connection with DEGs, applicable for line  ... 
doi:10.25046/aj050413 fatcat:6ulsmutnyfhv5makj7pkcozwzy

Critical comparison of energy management algorithms for lithium-ion batteries in renewable power plants

Alberto Berrueta, Adrian Soto Miguel Garcia, Inigo de la Parra, Pablo Sanchis, Alfredo Ursua
2019 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)  
The performance of three energy management algorithms based on linear, quadratic, and dynamic programming are compared in this work.  ...  Among the three compared algorithms, the quadratic one seems to be the most suitable for renewable-energy applications, given the undue simplification of the battery aging required by the linear algorithm  ...  Quadratic programming A quadratic optimization algorithm deals with quadratic objective functions, even though the constraints need to be linear.  ... 
doi:10.1109/eeeic.2019.8783864 fatcat:rge6aaudmraltmkxxapsovk3mq

Optimal engagement and operation of a grid-connected PV/battery system

Arnold N'Goran, Bruno Daugrois, Marc Lotteau, Sophie Demassey
2019 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)  
We adapt three distinct optimization strategies -mixed integer quadratic programming, simulation-based genetic algorithm and expertbased heuristic -and empirically compare their strengths.  ...  Our results emphasize the benefit of seeking for optimality, while the inaccuracies of the system dynamic model are compensated by periodic recomputation.  ...  Mixed Integer Quadratic Programming (MP) Linear Programming is widely used for microgrid operation scheduling for its two main benefits: (1) by using efficient off-the-shelf solvers, it requires almost  ... 
doi:10.1109/isgteurope.2019.8905617 dblp:conf/isgteurope/NGoranDLD19 fatcat:422bgn3csfcqvfkhwqp66ybmry

OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration

Angelina D. Bintoudi, Lampros Zyglakis, Apostolos C. Tsolakis, Paschalis A. Gkaidatzis, Athanasios Tryferidis, Dimosthenis Ioannidis, Dimitrios Tzovaras
2021 Energies  
To that end, this paper presents an optimal scheduling framework for microgrids both for day-ahead and real-time operation.  ...  In terms of real-time, this framework evaluates the real-time operation and, based on deviations, it re-optimises the schedule dynamically in order to continuously provide the best possible solution in  ...  Moreover, re-running the optimisation algorithm can be achieved quickly, thus allowing for real-time applications.  ... 
doi:10.3390/en14102752 fatcat:cv2c6rahgveinlnngffzn2me5y

Cryo-EM image alignment based on nonuniform fast Fourier transform

Zhengfan Yang, Pawel A. Penczek
2008 Ultramicroscopy  
Fourier Transform, and utilizes a multi-dimensional optimization algorithm for the refinement of the orientation parameters.  ...  on quadratic interpolation.  ...  We also thank Hermann Schomberg for introducing us to gridding method and for careful reading of the manuscript and Christian M.T. Spahn for stimulating discussions.  ... 
doi:10.1016/j.ultramic.2008.03.006 pmid:18499351 pmcid:PMC2585382 fatcat:hdk4bz6tobdidl6gnfeffrs26i

Online decentralized tracking for nonlinear time-varying optimal power flow of coupled transmission-distribution grids [article]

Wentian Lu, Kaijun Xie, Mingbo Liu, Xiaogang Wang, Lefeng Cheng
2022 arXiv   pre-print
Here, we propose an online decentralized optimization method to track the time-varying ACOPF of coupled transmission-distribution grids.  ...  The coordinated alternating current optimal power flow (ACOPF) for coupled transmission-distribution grids has become crucial to handle problems related to high penetration of renewable energy sources  ...  Acknowledgments We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.  ... 
arXiv:2208.02008v1 fatcat:wl6l3lpdnjg27koac56uztovfm

Grid Based And Random Based Ant Colony Algorithms For Automatic Hose Routing In 3D Space

Gishantha Thantulage, Tatiana Kalganova, Manissa Wilson
2008 Zenodo  
Ant Colony Algorithms have been applied to difficult combinatorial optimization problems such as the travelling salesman problem and the quadratic assignment problem.  ...  In this paper gridbased and random-based ant colony algorithms are proposed for automatic 3D hose routing and their pros and cons are discussed.  ...  ACKNOWLEDGMENT The authors acknowledge BIIS research group at Brunel University, UK for providing valuable comments during the course of this research work.  ... 
doi:10.5281/zenodo.1329449 fatcat:uaqqmdrk7bbwfhwle5tghtq5ra

A local relaxation approach for the siting of electrical substation

Walter Murray, Uday V. Shanbhag
2007 Computational optimization and applications  
At the time CPLEX could not solve discrete quadratic programs, but even later when such software was available, the largest problem which could be solved with CPLEX was about 100 variables.  ...  Results are provided for a variety of uniform and Gaussian load distributions as well as real examples from SPU.  ... 
doi:10.1007/s10589-007-9062-8 fatcat:hczr7mbyura6xpepj54rboefli

High performance grid and cluster computing for some optimization problems

K. Fujisawa, M. Kojima, A. Takeda, M. Yamashita
2004 2004 International Symposium on Applications and the Internet Workshops. 2004 Workshops.  
interior-point method for semidefinite programs.  ...  The methods that this article picks up are a successive convex relaxation method for quadratic optimization problems, a polyhedral homotopy method for polynomial systems of equations and a primal-dual  ...  Parallel Successive Convex Relaxation Method for Nonconvex Quadratic Optimization Problems The QOP (Quadratic Optimization Problem) covers various important nonconvex mathematical programs such as 0-1  ... 
doi:10.1109/saintw.2004.1268696 dblp:conf/saint/FujisawaKTY04 fatcat:ft45ttnneffeddgoesx5uwcmki

Comparison of intelligent charging algorithms for electric vehicles to reduce peak load and demand variability in a distribution grid

Kevin Mets, Reinhilde D'hulst, Chris Develder
2012 Journal of Communications and Networks  
We first introduce two approaches, one based on a classical optimization approach using quadratic programming, and a second one, market based coordination, which is a multi-agent system that uses bidding  ...  In this paper we assess algorithms to schedule charging of plug-in (hybrid) electric vehicles as to minimize the additional peak load they might cause.  ...  In this paper, we present a quadratic programming based coordinated charging algorithm that can serve as optimal control benchmark.  ... 
doi:10.1109/jcn.2012.00033 fatcat:wkzndeszszfdzonwt2nsxsianu

Energy aware task mapping algorithm for heterogeneous MPSoC based architectures

Amr M. A. Hussien, Ahmed M. Eltawil, Rahul Amin, Jim Martin
2011 2011 IEEE 29th International Conference on Computer Design (ICCD)  
In this paper, we focus on the issue of task allocation for multiprocessor based systems with hybrid processing resources that can be reconfigured.  ...  Simulation results show that the proposed heuristic is capable of achieving results that are within 20% of the optimal solution while providing orders of magnitude speedup in processing time.  ...  We propose an iterative heuristic solution that approaches the optimal binary quadratic programming solution. The algorithm flow is shown in Figure 2 .  ... 
doi:10.1109/iccd.2011.6081444 dblp:conf/iccd/HussienEAM11 fatcat:tzmoipigr5fx7ic6c7mynjmxdy

Real-time microgrid economic dispatch based on model predictive control strategy

Yan DU, Wei PEI, Naishi CHEN, Xianjun GE, Hao XIAO
2017 Journal of Modern Power Systems and Clean Energy  
To deal with uncertainties of renewable energy, demand and price signals in real-time microgrid operation, this paper proposes a model predictive control strategy for microgrid economic dispatch, where  ...  hourly schedule is constantly optimized according to the current system state and latest forecast information.  ...  Mathematical methods, including sequential quadratic programming [2] , interior-point algorithm [3] , mixed integer programming [4] , and heuristic-based intelligent algorithms, like generic algorithm  ... 
doi:10.1007/s40565-017-0265-4 fatcat:aqqsdgbw7vdrvhgtpn64tpj6su

Application of Firefly Optimization Technique for Solving Convex Economic Load Dispatch of Generation On Nigerian 330 kV, 24-Bus Grid System

Ganiyu Adedayo Ajenikoko, O. E. Olabode, A. E. Lawal
2018 European Journal of Engineering Research and Science  
This paper presents application of firefly optimization technique (FFOT) for solving convex economic load dispatch of generation.  ...  Firefly algorithm is one of the newest meta-heuristic algorithms based on the mating or flashing behavior of fireflies.  ...  Eboda Adebayo Wasiu for painstakingly taken his time in typesetting this research paper.  ... 
doi:10.24018/ejers.2018.3.5.746 fatcat:4qer5f74grazvm2yb47pg76ipy

Optimal demand-side management with a multi-technology battery storage system

G. Fernández, H. Bludszuweit, J. Torres, J. Almajano, I. Machin, J.F. Sanz, R. Serrano, M. Garín
2018 The Renewable Energies and Power Quality Journal (RE&PQJ)  
Recently, smart-meter deployment, real-time pricing and cost reductions for electricity storage opened new opportunities for dynamic DSM optimization tools.  ...  These tools operate at two levels: remotely, to calculate the economically optimal consumption and ESS operation program and locally to adapt the economic program to the real-time user state.  ...  This project is supported by the "Retos-colaboración 2015" research program.  ... 
doi:10.24084/repqj16.310 fatcat:rf2edyqhdjgypjy6jfisejdhee
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