scholarly journals Economic Reliability-Aware MPC-LPV for Operational Management of Flow-Based Water Networks Including Chance-Constraints Programming

Processes ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. 60 ◽  
Author(s):  
Fatemeh Karimi Pour ◽  
Vicenç Puig ◽  
Gabriela Cembrano
Keyword(s):  
Water Transport ◽  
System Reliability ◽  
Optimization Problem ◽  
Single Layer ◽  
Chance Constraints ◽  
The Other ◽  
Chance Constraint ◽  
Economic Optimization ◽  
Demand Forecast ◽  
Control Approach

This paper presents an economic reliability-aware model predictive control (MPC) for the management of drinking water transport networks (DWNs). The proposed controller includes a new goal to increase the system and components reliability based on a finite horizon stochastic optimization problem with joint probabilistic (chance) constraints. The proposed approach is based on a single-layer economic optimization problem with dynamic constraints. The inclusion of components and system reliability in the MPC model using an Linear Parameter Varying (LPV) modeling approach aims to maximize the availability of the system by estimating system reliability. On the other hand, the use of a LPV-MPC control approach allows the controller to consider nonlinearities in the model in a linear like way. Moreover, the resulting MPC optimization problem can be formulated as a Quadratic Programming (QP) problem at each sampling time reducing the computational burden/time compared to solving a nonlinear programming problem. The use of chance-constraint programming allows the computation of an optimal strategy with a pre-established risk acceptability levels to cope with the uncertainty of the demand forecast. Finally, the proposed approach is applied to a part of the water transport network of Barcelona for demonstrating its performance. The obtained results show that the system reliability of the DWN is maximized compared with the other approaches.

scholarly journals Economic Health-Aware LPV-MPC Based on System Reliability Assessment for Water Transport Network

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 3015 ◽  
Author(s):  
Fatemeh Karimi Pour ◽  
Vicenç Puig ◽  
Gabriela Cembrano
Keyword(s):  
Water Transport ◽  
Predictive Control ◽  
System Reliability ◽  
Optimization Problem ◽  
Transport Network ◽  
Linear Parameter Varying ◽  
Control Approach ◽  
Economic Model Predictive Control ◽  
Economic Objective

This paper proposes a health-aware control approach for drinking water transport networks. This approach is based on an economic model predictive control (MPC) that considers an additional goal with the aim of extending the components and system reliability. The components and system reliability are incorporated into the MPC model using a Linear Parameter Varying (LPV) modeling approach. The MPC controller uses additionally an economic objective function that determines the optimal filling/emptying sequence of the tanks considering that electricity price varies between day and night and that the demand also follows a 24-h repetitive pattern. The proposed LPV-MPC control approach allows considering the model nonlinearities by embedding them in the parameters. The values of these varying parameters are updated at each iteration taking into account the new values of the scheduling variables. In this way, the optimization problem associated with the MPC problem is solved by means of Quadratic Programming (QP) to avoid the use of nonlinear programming. This iterative approach reduces the computational load compared to the solution of a nonlinear optimization problem. A case study based on the Barcelona water transport network is used for assessing the proposed approach performance.

A new algorithm for finding CRM-model coefficients

2019 ◽  
Vol 5 (3) ◽  
pp. 164-185 ◽  
Author(s):  
Alexander D. Bekman ◽  
Sergey V. Stepanov ◽  
Alexander A. Ruchkin ◽  
Dmitry V. Zelenin
Keyword(s):  
Approximate Solution ◽  
Optimization Problem ◽  
Optimal Solution ◽  
Complex Form ◽  
Approximate Solutions ◽  
The Other ◽  
Programming Algorithm ◽  
Stochastic Algorithms ◽  
Large Set ◽  
Flow Rates

The quantitative evaluation of producer and injector well interference based on well operation data (profiles of flow rates/injectivities and bottomhole/reservoir pressures) with the help of CRM (Capacitance-Resistive Models) is an optimization problem with large set of variables and constraints. The analytical solution cannot be found because of the complex form of the objective function for this problem. Attempts to find the solution with stochastic algorithms take unacceptable time and the result may be far from the optimal solution. Besides, the use of universal (commercial) optimizers hides the details of step by step solution from the user, for example&nbsp;— the ambiguity of the solution as the result of data inaccuracy.<br> The present article concerns two variants of CRM problem. The authors present a new algorithm of solving the problems with the help of “General Quadratic Programming Algorithm”. The main advantage of the new algorithm is the greater performance in comparison with the other known algorithms. Its other advantage is the possibility of an ambiguity analysis. This article studies the conditions which guarantee that the first variant of problem has a unique solution, which can be found with the presented algorithm. Another algorithm for finding the approximate solution for the second variant of the problem is also considered. The method of visualization of approximate solutions set is presented. The results of experiments comparing the new algorithm with some previously known are given.

scholarly journals A Unified Multimode Control of a DC–DC Interlinking Converter Integrated into a Hybrid Microgrid

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1314 ◽  
Author(s):  
Oswaldo López-Santos ◽  
Yeison Alejandro Aldana-Rodríguez ◽  
Germain Garcia ◽  
Luis Martínez-Salamero
Keyword(s):  
Energy Exchange ◽  
Low Voltage ◽  
Voltage Regulation ◽  
The Other ◽  
Theoretical Development ◽  
System Response ◽  
Control Approach ◽  
Uniform System ◽  
Hybrid Microgrid ◽  
Control Scheme

DC–DC interlinking converters (ILCs) allow bidirectional energy exchange between DC buses of different voltage levels in microgrids. This paper introduces a multimode control approach of a half-bridge DC–DC converter interlinking an extra-low-voltage DC (ELVDC) bus of 48 VDC and a low-voltage DC (LVDC) bus of 240 VDC within a hybrid microgrid. By using the proposed control, the converter can transfer power between the buses when the other converters regulate them, or it can ensure the voltage regulation of one of the buses, this originating from its three operation modes. The proposed control scheme is very simple and provides a uniform system response despite the dependence of the converter dynamic on the operating point and the selected mode. Simulation and experimental results validated the theoretical development and demonstrated the usefulness of the proposed scheme.

Effects of Adjacent Ground Treatment on Site Seismic Response

2011 ◽  
Vol 90-93 ◽  
pp. 1576-1580
Author(s):  
Gang Ge ◽  
Jian Min Liu
Keyword(s):  
Ground Motion ◽  
Single Layer ◽  
Soil Improvement ◽  
Soil Reinforcement ◽  
The Other ◽  
Acceleration Response ◽  
Horizontal Acceleration ◽  
Ground Treatment ◽  
Single Block ◽  
Adjacent Soil

The effect of adjacent soil improvement on ground motion is studied using finite element method, when seismic wave is introduced from the single layer on bedrock. The influence of ground motion on soil reinforcement is analyzed; the impacts of the reinforcement zone width, depth, elastic modulus, and the soil improvement interval on response of the ground motion are also investigated. Study shows: for the same site, when the distance between two adjacent foundation consolidation interval is less than 3 to 4 times the width of the reinforcement area, the interaction acceleration response amplitude of various points on the surface of the two adjacent reinforcement area increased significantly than the single block; within the interval , increasing one of the two adjacent foundation’s width, depth, and the other foundation surface, the horizontal acceleration response will Subsequently enlarged; when the interval between the reinforcement area is greater than the range, this effect is negligible.

Characterization of Single- and Multiple-Layer Films by X-Ray Reflectometry

1991 ◽  
Vol 35 (A) ◽  
pp. 137-142 ◽  
Author(s):  
T. C. Huang ◽  
W. Parrish
Keyword(s):  
Experimental Data ◽  
Thin Films ◽  
High Resolution ◽  
Single Layer ◽  
The Other ◽  
X Ray ◽  
Buried Interfaces ◽  
Multiple Layer ◽  
Reflectivity Data

AbstractPrecision X-ray reflectivity data were obtained with a high-resolution reflectometer equipped with a rotating anode X-ray source and Ge 220 channel monochromators (one placed before and the other after the specimen). The surfaces and buried interfaces of thin films were characterized by ieast-squares refinement of experimental data. Values of thickness, density, and/or roughness of Pt “single-layer” and Pt/Co based multiple-layer films were determined.

Correlated reliability and an application: Propulsive landing on Mars

2019 ◽  
Vol 233 (5) ◽  
pp. 826-846
Author(s):  
Hüseyin Sarper
Keyword(s):  
System Reliability ◽  
Simulation Method ◽  
The Other ◽  
Simulation Methods ◽  
Exponential Distributions ◽  
Numerical Examples ◽  
Beneficial Effects ◽  
Bivariate Exponential ◽  
System Life ◽  
Near Future

This article discusses reliability of landers and provides a review and examples of correlated reliability. Examples are cited to show generally beneficial effects of correlation in system reliability. Then, reliabilities of two near future landing systems are studied using two analytical (Downton, and Marshall & Olkin) bivariate exponential distributions and two simulation methods that incorporate correlation in reliability calculations. Both landing systems are composed of correlated two-unit subsystems. Numerical examples show mean system life, standard deviation of the system life, mean system life confidence interval, and reliability for each lander’s propulsive descent. Both simulation method results are in between the results obtained from the two analytical methods and Downton’s method yields the most conservative reliability. This article also shows how the Downton method–based reliability value can be predicted as a function of the reliabilities obtained from the other three methods. An up-to-date literature review of all related topics is also provided.

scholarly journals Flight Level Assignment Using Graph Coloring

2020 ◽  
Vol 10 (18) ◽  
pp. 6157
Author(s):  
Jose Manuel Gimenez-Guzman ◽  
Alejandra Martínez-Moraian ◽  
Rene D. Reyes-Bardales ◽  
David Orden ◽  
Ivan Marsa-Maestre
Keyword(s):  
Fuel Consumption ◽  
Graph Coloring ◽  
Optimization Problem ◽  
Air Traffic ◽  
The Other ◽  
Safety Constraints ◽  
Flight Level ◽  
The One ◽  
Traffic Optimization ◽  
Spectrum Graph

This paper models an air traffic optimization problem where, on the one hand, flight operators seek to minimize fuel consumption flying at optimal cruise levels and, on the other hand, air traffic managers aim to keep intersecting airways at as distant as possible flight levels. We study such a problem as a factorized optimization, which is addressed through a spectrum graph coloring model, evaluating the effect that safety constraints have on fuel consumption, and comparing different heuristic approaches for allocation.

Research on Optimization of Ground-Coupled Heat Pump Systems under Specific Constraint Conditions

2014 ◽  
Vol 953-954 ◽  
pp. 673-679
Author(s):  
Yang Yang Wang ◽  
Ping Fang Hu ◽  
Fei Lei ◽  
Na Zhu ◽  
Tian Hua Wu ◽  
...  
Keyword(s):  
Heat Pump ◽  
Optimization Problem ◽  
Design Method ◽  
Optimization Method ◽  
Simulation Software ◽  
Design Parameters ◽  
Decision Variable ◽  
Economic Optimization ◽  
Ground Coupled Heat Pump

A design method for ground-coupled heat pump (GCHP) systems with specific constraint conditions is proposed. The total borehole number, borehole depth, borehole space and average velocity of fluid in the U-tube are considered as variables in the optimization problem. The optimization problem of four variables is transformed into that of single decision variable. A case study, which includes different schemes for designing GCHP systems of an office building and the corresponding economic analysis, is performed with the aid of simulation software. The result shows that optimal design parameters could be found in an economic optimization problem with specific constraint conditions. Additionally, design parameters may have a notable influence on the energy consumption of circulating pumps. The optimization method in this paper could be utilized by engineering designers for reference.

Energy Demand Forecast of City Based on Cellular Genetic Algorithm

2012 ◽  
Vol 263-266 ◽  
pp. 2122-2125
Author(s):  
Yu Gui Cheng
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Bp Neural Network ◽  
Energy Demand ◽  
The Other ◽  
Demand Forecast ◽  
Minimum Error ◽  
Search Optimization ◽  
Cellular Genetic Algorithm ◽  
Better Than

As a branch of genetic algorithm (GA), cellular genetic algorithm (CGA) has been used in search optimization of the population in recent years. Compared with traditional genetic algorithm and the algorithm combined with traditional genetic algorithm and BP neural network, energy demand forecast of city by the method of combining cellular genetic algorithm and BP neural network had the characteristic of the minimum training times, the shortest consumption time and the minimum error. Meanwhile, it was better than the other two algorithms from the point of fitting effect.

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