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1

Optimization of the reliability of power electric distribution grids MV with the use of heuristic algorithms

Nita Wojciech, Filipiak Sylwester

Przegląd Elektrotechniczny

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2022

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R. 98, nr 6

50--56

EN

The article aims to present the application of selected heuristic algorithms to improve the reliability indices of MV distribution grids. Improving the reliability and efficiency of power distribution grids is currently a topical and important issue. The paper includes analyses of selected algorithms, in particular algorithms utilising heuristic methods for multicriteria optimisation of the scope of activities improving the reliability and efficiency of power electric distribution grids. Evolutionary algorithms were also used to determine the fronts of the Pareto optimal solutions sets.

PL

Celem artykułu jest przedstawienie zastosowania wybranych heurystycznych algorytmów populacyjnych do optymalizacji wskaźników niezawodności sieci dystrybucyjnych SN. Poprawa niezawodności i efektywności systemów dystrybucyjnych energii elektrycznej jest ważnym i aktualnym zagadnieniem. W artykule zastosowano wybrane algorytmy do wielokryterialnej optymalizacji zakresu przedsięwzięć poprawiających niezawodność i efektywność systemów dystrybucyjnych energii na przykładzie wybranej terenowej sieci elektroenergetycznej SN. Zastosowano również algorytmy ewolucyjne w celu wyznaczania frontów zbiorów rozwiązań Pareto – optymalnych.

2

Planowanie przebudowy terenowych sieci dystrybucyjnych SN metodami ewolucyjnymi

Nita Wojciech, Filipiak Sylwester

Przegląd Elektrotechniczny

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2021

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R. 97, nr 4

92--98

PL

Artykuł porusza problem planowania procesów modernizacji i przebudowy terenowych elektroenergetycznych sieci średniego napięcia (SN). Głównym celem wykonanych prac było wykorzystanie obliczeniowych metod ewolucyjnych do planowania modernizacji sieci dystrybucyjnych SN. Temat podlegał analizie ze względu na aktualność tematyki dotyczącej kablowania terenowych sieci dystrybucyjnych. Aktualnie bowiem operatorzy sieci realizują program przebudowy sieci napowietrznych średniego napięcia na sieci kablowe, co ma na celu zwiększenie niezawodności i efektywności tych sieci.

EN

The text treats the question of planning for the process of modernization and redevelopment of medium-voltage power(MV). The general point pertain to the process of distribution these networks wherewithal the computational evolutionary methods. The topic was raised up due to the recent currency of the discussion about that and it is known that the program is conducted by distribution special, network operators to reconstruct of the medium-voltage power overhead networks into cable networks what is implied to increase the reliability and efficiency of these networks.

3

Location of a Logistics Facilities Using MS Excel Solver Multistart GRG and Evolutionary Methods

Zaręba M.

Machine Dynamics Research

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2018

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Vol. 42, No. 4

73--91

EN

The aim of this article is to determine the logistics facility localization by using generalized reduced gradient (GRG) nonlinear and evolutionary methods, both available in Solver Addin for MS Excel. The goal of supply chain configuration strategy is to minimize logistics expenses and to optimize customer service. The article presents three approaches for determining the optimal location of a logistics facility. The first method is to determine the optimal location of a short-haul routes logistics facility, without taking into account the curvature of the Earth, using the GRG nonlinear method. The second is an extension of the previous method and utilizes the built-in Multistart option, which allows to determine the optimal position of the logistics facility in the case of many local extremes in the goal function. The third approach applies the evolutionary method which allows to locate the logistics facility in the case where the goal function is in the non-smooth form. For each of the aforementioned approaches, the location of the logistics facility was determined. Based on the obtained results both GRG Multistart nonlinear and evolutionary methods correctly calculated the optimal location of the logistics facility for short-haul routes.

4

Intelligent motion of mobile robot in the production area

Vaupotic B., Balic J.

Journal of Achievements in Materials and Manufacturing Engineering

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2007

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Vol. 20, nr 1-2

61-68

EN

Purpose: The paper is concerned about intelligent motion of the mobile robot in the production area. The robot is self-learning and gathers the data from the environment by means of sensors. It processes the acquired information and utilizes it for making decisions. Design/methodology/approach: The concept imitates the natural selection of living organisms, where in the struggle for natural resources the fit individuals become more and more dominant and adaptable to the environment in which they live, whereas the less fit ones are present in the generations rarely. Some of the improved genetic operations were used for the robot motion. Findings: The use of those improved genetic operations has proved to be appropriate. By means of them the robot became more and more intelligent in the course of evolution and performed the set task successfully. Research limitations/implications: The tests were limited only to the space with static barriers. In future, it would be appropriate to test the proposed system also in the space with moving objects and to enable the robot to have full autonomy. Practical implications: The proposed system enables the robot to move completly independently in the space. The robot complies with simple instructions: come to the goal fastest possible (shortest path) without causing damage to youself and to the environment. Originality/value: Originality value is the implementation of the non-deterministic principles in the decision making strategy of the mobile robot. In learning and independent decision making the robot used some of the improved genetic operations.