scholarly journals Analysis power shortage minimization methods in the modern processing software for adequacy assessment of electric power systems

2020 ◽  
Vol 209 ◽  
pp. 06008
Author(s):  
Dmitrii Iakubovskii ◽  
Dmitry Krupenev
Keyword(s):  
Power Systems ◽  
Nonlinear Models ◽  
Mathematical Optimization ◽  
Optimization Methods ◽  
Point Of View ◽  
Software Systems ◽  
Minimization Methods ◽  
Adequacy Assessment ◽  
Commercial Solver ◽  
High Level

Analysis of domestic and foreign software systems for assessing the resource adequacy showed a variety of models and methods used in them. Many software systems use both linear and nonlinear models, these models are optimized according to various criteria to simulate the operation of the system. As tools for solving, software usually use commercial high-level modelling systems for mathematical optimization. However, in addition to the existing ready-made commercial solutions, the authors consider the effectiveness of optimization methods, as well as their parallelized versions, which can be independently implemented and applied as a solver for a specific problem. As a result, it was confirmed that these methods can be used to solve the problem, but they are less effective relative to a commercial solver. From the point of view of accuracy and resources spent on calculations, the most effective of the independently implemented methods turned out to be the parallelized method of differential evolution, which was confirmed by numerical experiments on small systems.

scholarly journals Application the differential evolution for solving the problem of minimizing the power shortage of electric power systems

2019 ◽  
Vol 114 ◽  
pp. 03002 ◽  
Author(s):  
D.V. Iakubovskii ◽  
D.S. Krupenev ◽  
D.A. Boyarkin
Keyword(s):  
Power Systems ◽  
Differential Evolution ◽  
Electric Power ◽  
Optimization Methods ◽  
Electric Power Systems ◽  
Point Of View ◽  
Software Systems ◽  
Tuning Parameters ◽  
Gradient Optimization ◽  
Power Deficit

Based on the experience of domestic and foreign researchers, it is known that there are various mathematical models, software systems, and optimization methods used to solve the set tasks for assessing the resource adequacy of electric power systems (EPS). However, the continuous development of EPS leads to the complication and integration of systems against the background of which it becomes necessary to take into account an increasing number of its elements and parameters in one task. Thus, for more effective (in terms of speed and accuracy) solutions of modified models, it is required to analyze and search the most appropriate set of optimization methods. In this connection, the purpose of this study is to analyze the applicability and the effectiveness of applying the method of differential evolution and gradient optimization methods for the model of minimizing the power deficit, which should be also compared. The article considers the analysis of the results of the work that optimization methods, studies were conducted on a test isolated EPS, with various tuning parameters. As a result, it was confirmed that these methods could be used to solve the problem. From the point of view of accuracy and resources expended on calculations, the most efficient among the implemented methods was the method of differential evolution, which was confirmed by numerical experiments on the small systems.

scholarly journals Reduction of Annual Operational Costs in Power Systems through the Optimal Siting and Sizing of STATCOMs

2021 ◽  
Vol 11 (10) ◽  
pp. 4634
Author(s):  
Oscar Danilo Montoya ◽  
Jose Eduardo Fuentes ◽  
Francisco David Moya ◽  
José Ángel Barrios ◽  
Harold R. Chamorro
Keyword(s):  
Power Systems ◽  
Power System ◽  
Reactive Power ◽  
Programming Model ◽  
Operating Cost ◽  
Mathematical Optimization ◽  
System Optimization ◽  
Point Of View ◽  
Mixed Integer ◽  
Annual Operating Cost

The problem of the optimal siting and placement of static compensates (STATCOMs) in power systems is addressed in this paper from an exact mathematical optimization point of view. A mixed-integer nonlinear programming model to present the problem was developed with the aim of minimizing the annual operating costs of the power system, which is the sum of the costs of the energy losses and of the installation of the STATCOMs. The optimization model has constraints regarding the active and reactive power balance equations and those associated with the devices’ capabilities, among others. To characterize the electrical behavior of the power system, different load profiles such as residential, industrial, and commercial are considered for a period of 24 h of operation. The solution of the proposed model is reached with the general algebraic modeling system optimization package. The numerical results indicate the positive effect of the dynamic reactive power injections in the power systems on annual operating cost reduction. A Pareto front was built to present the multi-objective behavior of the studied problem when compared to investment and operative costs. The complete numerical validations are made in the IEEE 24-, IEEE 33-, and IEEE 69-bus systems, respectively.

scholarly journals Optimization Methods for Electric Power Systems: An Overview

2005 ◽  
Vol 2 (1) ◽  
Author(s):  
R. C. Bansal
Keyword(s):  
Artificial Intelligence ◽  
Power Systems ◽  
Electric Power ◽  
Power Optimization ◽  
Optimization Problems ◽  
Mathematical Optimization ◽  
Optimization Methods ◽  
Electric Power Systems ◽  
Unexpected Events ◽  
Large Complex

Power systems optimization problems are very difficult to solve because power systems are very large, complex, geographically widely distributed and are influenced by many unexpected events. It is therefore necessary to employ most efficient optimization methods to take full advantages in simplifying the formulation and implementation of the problem. This article presents an overview of important mathematical optimization and artificial intelligence (AI) techniques used in power optimization problems. Applications of hybrid AI techniques have also been discussed in this article.

Territorial Distribution of Alcohol and Drug Addictions Mortality Concerning Regional Disparities in the Slovak Republic from Year 1996 to Year 2015

2020 ◽  
Keyword(s):  
Mortality Rate ◽  
Slovak Republic ◽  
Regional Disparities ◽  
Point Of View ◽  
Extreme Position ◽  
Data Set ◽  
Female Sex ◽  
Male Sex ◽  
The Individual ◽  
High Level

BACKGROUND: This paper deals with territorial distribution of the alcohol and drug addictions mortality at a level of the districts of the Slovak Republic. AIM: The aim of the paper is to explore the relations within the administrative territorial division of the Slovak Republic, that is, between the individual districts and hence, to reveal possibly hidden relation in alcohol and drug mortality. METHODS: The analysis is divided and executed into the two fragments – one belongs to the female sex, the other one belongs to the male sex. The standardised mortality rate is computed according to a sequence of the mathematical relations. The Euclidean distance is employed to compute the similarity within each pair of a whole data set. The cluster analysis examines is performed. The clusters are created by means of the mutual distances of the districts. The data is collected from the database of the Statistical Office of the Slovak Republic for all the districts of the Slovak Republic. The covered time span begins in the year 1996 and ends in the year 2015. RESULTS: The most substantial point is that the Slovak Republic possesses the regional disparities in a field of mortality expressed by the standardised mortality rate computed particularly for the diagnoses assigned to the alcohol and drug addictions at a considerably high level. However, the female sex and the male sex have the different outcome. The Bratislava III District keeps absolutely the most extreme position. It forms an own cluster for the both sexes too. The Topoľčany District bears a similar extreme position from a point of view of the male sex. All the Bratislava districts keep their mutual notable dissimilarity. Contrariwise, evaluation of a development of the regional disparities among the districts looks like notably heterogeneously. CONCLUSIONS: There are considerable regional discrepancies throughout the districts of the Slovak Republic. Hence, it is necessary to create a common platform how to proceed with the solution of this issue.

Arising of Informal Women's Learn-to-code Communities

2021 ◽  
Vol 21 (2) ◽  
pp. 1-24
Author(s):  
Louise Ann Lyon ◽  
Chelsea Clayton
Keyword(s):  
Learning Community ◽  
Virtual Communities ◽  
Point Of View ◽  
Customer Relationship ◽  
Activity System ◽  
Learning Group ◽  
Management Platform ◽  
High Level ◽  
Verbal Encouragement ◽  
Activity Systems Analysis

Female-focused, grassroots communities purporting to help women learn to code are popping up in a variety of settings, indicating the motivation on the part of the participants to evade male-dominated settings while learning. However, little is known about how these groups function as an activity system. With current technology enabling the forming of virtual communities and the meteoric rise in use of the Salesforce CRM (customer relationship management) platform, a group of women have formed a coaching and learning community designed to help women move from Salesforce administrators to software developers through learning to code. We used activity systems analysis (ASA) to investigate this real-world instance of the larger phenomenon using an ethnographic approach. We used ASA to organize and make sense of the data by first creating a table listing the points on the activity system triangle (subject, rules, object, etc.) and filling in the points of the triangle based on the design of the coaching and learning group as described by participants; this gave us a high-level view of the activity system. To understand the subjects’ point of view of the system, we then created a new column in the table to fill in themes that emerged from our qualitative data analysis organized by dimension of the activity system. This process enabled us to capture the activity and the voices of participants as well as tensions that had emerged in the system. Findings show a range of outcomes, from participants crediting the group as a kickstart to the journey to successfully landing a job as a developer to members stalling in their progress after involvement. Results also show that purposeful tensions of welcoming novice questions and offering unsolicited verbal encouragement built into the activity system create a welcoming, safe environment for women learning to code.

scholarly journals Parametric bootstrap estimators for hybrid inference in forest inventories

2017 ◽  
Vol 91 (3) ◽  
pp. 354-365 ◽  
Author(s):  
Mathieu Fortin ◽  
Rubén Manso ◽  
Robert Schneider
Keyword(s):  
Multiple Imputation ◽  
Nonlinear Models ◽  
Parametric Bootstrap ◽  
Simulation Studies ◽  
Variance Estimator ◽  
Resampling Methods ◽  
Forest Inventories ◽  
Point Estimator ◽  
Complex Models ◽  
High Level

Abstract In forestry, the variable of interest is not always directly available from forest inventories. Consequently, practitioners have to rely on models to obtain predictions of this variable of interest. This context leads to hybrid inference, which is based on both the probability design and the model. Unfortunately, the current analytical hybrid estimators for the variance of the point estimator are mainly based on linear or nonlinear models and their use is limited when the model reaches a high level of complexity. An alternative consists of using a variance estimator based on resampling methods (Rubin, D. B. (1987). Multiple imputation for nonresponse surveys. John Wiley & Sons, Hoboken, New Jersey, USA). However, it turns out that a parametric bootstrap (BS) estimator of the variance can be biased in contexts of hybrid inference. In this study, we designed and tested a corrected BS estimator for the variance of the point estimator, which can easily be implemented as long as all of the stochastic components of the model can be properly simulated. Like previous estimators, this corrected variance estimator also makes it possible to distinguish the contribution of the sampling and the model to the variance of the point estimator. The results of three simulation studies of increasing complexity showed no evidence of bias for this corrected variance estimator, which clearly outperformed the BS variance estimator used in previous studies. Since the implementation of this corrected variance estimator is not much more complicated, we recommend its use in contexts of hybrid inference based on complex models.

scholarly journals Designing Science and Technology Park of Tabriz with Organic Architecture Approach, Inspired by Ants' Nest Algorithm

2016 ◽  
Vol 11 (1) ◽  
pp. 134
Author(s):  
Zahra Ghannadian ◽  
Shahriyar Shaghagh
Keyword(s):  
Science And Technology ◽  
Point Of View ◽  
Advanced Technology ◽  
Modern Culture ◽  
Science And Technology Parks ◽  
Technology Park ◽  
Technology Parks ◽  
Science And Technology Park ◽  
Organic Architecture ◽  
High Level

Establishment of every urban element in its appropriate position requires advanced technology and science from geographical and climatic point of view. This is accompanied and synchronous with modern culture born by supreme and high level of training and education in the society. In this regard, one of the main objectives of the architectures' union is to establish science and Technology Park with the aim of facilitating and accelerating science and technology transmission from university to the society and country.Tabriz city is considered as one of the most important academic and industrial cities in the country. Establishing science and technology parks can be effective in scientific, economic and social development of the country and province. Employing organic methods in architecture to use natural energies is an effective and useful method and its structure produces less pollution. Using philosophical and introductory issues and views of technology and establishing technology parks, present article proceeds on issues of organic architecture with new approach which is inspired by ants' nest algorithm and presents a new experience of architecture in the form of Science and Technology Park.

BASIN CONFIGURATION OF A SIX-DIMENSIONAL MODEL OF AN ELECTRIC POWER SYSTEM

2002 ◽  
Vol 12 (06) ◽  
pp. 1333-1356 ◽  
Author(s):  
YOSHISUKE UEDA ◽  
HIROYUKI AMANO ◽  
RALPH H. ABRAHAM ◽  
H. BRUCE STEWART
Keyword(s):  
Power Systems ◽  
Power System ◽  
Initial Conditions ◽  
Electrical Power ◽  
Practical Importance ◽  
Intervention Strategy ◽  
Basins Of Attraction ◽  
Electric Power System ◽  
Point Of View ◽  
Electrical Power System

As part of an ongoing project on the stability of massively complex electrical power systems, we discuss the global geometric structure of contacts among the basins of attraction of a six-dimensional dynamical system. This system represents a simple model of an electrical power system involving three machines and an infinite bus. Apart from the possible occurrence of attractors representing pathological states, the contacts between the basins have a practical importance, from the point of view of the operation of a real electrical power system. With the aid of a global map of basins, one could hope to design an intervention strategy to boot the power system back into its normal state. Our method involves taking two-dimensional sections of the six-dimensional state space, and then determining the basins directly by numerical simulation from a dense grid of initial conditions. The relations among all the basins are given for a specific numerical example, that is, choosing particular values for the parameters in our model.

scholarly journals Multiobjective Optimization Methods for Congestion Management in Deregulated Power Systems

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
K. Vijayakumar
Keyword(s):  
Genetic Algorithm ◽  
Power Systems ◽  
Electricity Market ◽  
Optimization Methods ◽  
Evolutionary Programming ◽  
Congestion Management ◽  
Transmission Congestion ◽  
Nsga Ii ◽  
Line Overload ◽  
Nondominated Sorting

Congestion management is one of the important functions performed by system operator in deregulated electricity market to ensure secure operation of transmission system. This paper proposes two effective methods for transmission congestion alleviation in deregulated power system. Congestion or overload in transmission networks is alleviated by rescheduling of generators and/or load shedding. The two objectives conflicting in nature (1) transmission line over load and (2) congestion cost are optimized in this paper. The multiobjective fuzzy evolutionary programming (FEP) and nondominated sorting genetic algorithm II methods are used to solve this problem. FEP uses the combined advantages of fuzzy and evolutionary programming (EP) techniques and gives better unique solution satisfying both objectives, whereas nondominated sorting genetic algorithm (NSGA) II gives a set of Pareto-optimal solutions. The methods propose an efficient and reliable algorithm for line overload alleviation due to critical line outages in a deregulated power markets. The quality and usefulness of the algorithm is tested on IEEE 30 bus system.

Der Raum der Vorlesung: Vom Auditorium zum „multi media hub“

2021 ◽  
Vol 49 (3) ◽  
pp. 653-701
Author(s):  
Heiko Hausendorf ◽  
Kenan Hochuli ◽  
Johanna Jud ◽  
Alexandra Zoller
Keyword(s):  
Middle Ages ◽  
Social Practice ◽  
Current Data ◽  
Point Of View ◽  
Lecture Hall ◽  
Architectural Elements ◽  
Modern Age ◽  
The Social ◽  
Multi Media ◽  
High Level

Abstract The present paper is concerned with the lecture hall as the natural home of lecturing. We will focus on constructed, designed and equipped space as a material and communicative manifestation of science which fundamentally contributes to the multimodal practice of lecturing. Taking an interactionist point of view, we start off with introducing our concept of architecture-for-interaction which aims at spatial built-in features as a resource for social interaction, namely for situational anchoring among those present. In a second step, we identify key architectural elements of the lecture hall as material sediments of communicative problems connected with the social practice of lecturing. In doing so, we will also give a high-level overview of the historical development of the lecture hall (and its precursors) since the Middle Ages and the Early Modern Age. Turning to current data from lecturing in times of the pandemic, we will then deal with so called „ghost lectures“ behind closed doors. This current development brings out a refiguration process due to which the lecture hall undergoes a change from the classical auditorium with copresent participants to a multi-media hub allowing for tele-present participants.

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