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In the world of modern era we find many techniques for enhancement of reliability in distribution networks and meeting the consumer demand by provision of quality and incessant power supply. Amidst the various techniques, in this study, we opt for demand response (DR) and charging/discharging of electrical vehicles (EV's) are evaluated to ameliorating reliability for radially distributed power system by adopting teaching learning based optimization (TLBO) algorithm. This analysis is considered due to the contribution of technologies like are DR and EV's for reducing the usage of conventional sources and enhancing the air quality. Here in this paper we are adopting reliability evaluation by considering energy expected not supplied (EENS) and loss of load expected (LOLE)where the characteristics of distribution network contains load and voltage profile. This paper provides a new optimization approach for finding the optimal solution. [ABSTRACT FROM AUTHOR]

The paper describes selection of the processor architecture for the external control block implementation in assembler. This block is used to control the operation of the main control system and improve the reliability of the system as a whole. A scheme for the considered method implementation with an external control unit on CPU instead of FPGA is proposed. The development of software for it is realized in assembler. Analysis of the architectures' peculiarities that are currently available on the market is carried out. They are x86 and x86-64 for CISC. ARM v8, ARM64, RISC-V, SPARC, and LEON are for RISC. The paper performs translation of decision-making algorithms in multiversion environments from the C++ language into the assembler of the necessary architectures. The size of the resulting code is analyzed. The authors made conclusions on the basis of the obtained results. It is preferable to select a CISC architecture, since it simplifies and speeds up a software development process in the case when it is required to develop a code in assembler. As for the scheme selection for the control system implementation with an external control unit, the authors prove that it is quite acceptable to apply a CPU for the external unit instead of the initially proposed FPGA. [ABSTRACT FROM AUTHOR]

The paper presents the main components of a methodological approach to the creation of an apparatus for analyzing the reliability of fuel and energy supply to consumers in conditions of negative impacts on the energy sector operation. The authors characterize the main factors affecting the scale of the implementation of threats to the reliable functioning of power systems and the energy complex as a whole. The paper describes algorithms for analyzing the impact of negative impacts on the reliability of fuel and energy supply to consumers, algorithms for forming lists of critical objects of energy systems, as well as algorithms for choosing measures to minimize the consequences of negative disturbances in the energy sector. [ABSTRACT FROM AUTHOR]

The paper describes the combined implementation of the decision block in multiversion systems. The importance of fault-tolerant real-time control systems is proved. The authors describe an approach that makes it possible to increase the reliability parameters of such systems and to guarantee time delays. The approach means the presence of a watchdog timer and a redundant decision block implemented on the FPGA. The authors give an example of the main decision- making block implementation. It executed in a real-time operating system applying the Formula Node and Call Library Function tools in the LabView environment. С. An example of a t/(n-1) decision-making algorithm implemented as an extensible library written in the C language is considered. Also, the implementation of the t/(n-1) decision-making algorithm as a duplicate algorithm implemented on FPGA is considered. An example of software implementation of algorithms is given. The necessary tools are described. [ABSTRACT FROM AUTHOR]

This paper describes an algorithm based on the smooth characteristic of track online for the real-time detection and removal of spike noise. Spike noise is caused by random events, including the shake of the frame of the trolley, detection or transmission errors within the measuring systems. Its effects are extremely undesirable because they can generate erroneous alerts for relevant, which can influence the results of safety and reliability. Due to the variable characteristics, and the measurement is operated in dynamic and turbulent conditions, the real-time detection of spike noise is difficult. By using the smooth characteristic of track online, we develop a filtering algorithm that is able to perform spike noise removal in real time. The proposed algorithm is validated on a set of experimental results, which include a comparison with other algorithms. The results confirm the effectiveness of the filtering algorithm, which have been implemented on our developed trolley modeled GJY-T-CSU-4. [ABSTRACT FROM AUTHOR]