A reliability optimization algorithm with average dual estimates for electric power systems

Krupenev, Dmitry; Perzhabinsky, Sergey

doi:10.1134/s0005117917120128

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…The required functions, control size, internal capacity, appearance and shape are all very different from PLC. They are generally classified according to their control scale, structural shape, and their required realization functions [9][10].…”

Section: Classification Of Plcmentioning

confidence: 99%

The Design and Research of Electric Automation Control System Based on PLC

Zhao¹

2021

IJFS

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In recent years, programmable logic controller (PLC), a new technology for electrical control, has developed rapidly and has been widely used in various production processes and automatic control of production machinery. It has the characteristics of convenient operation, simple and easy to understand, and high reliability, has become one of the most popular, most important, and most applied industrial control devices. It brings new vitality to power automation control technology, improves the efficiency of power work, and becomes one of the important pillars in the field of modern industrial automation control systems. This article aims to study the design of PLC-based electrical automation control system. Based on the analysis of the classification of PLC, the basic structure of PLC and the working principle of PLC, the PLC power automation control system is designed, and the system is simulated and tested. The test results show that the operation effect of the traditional electrical control system can not meet all the automatic working conditions, and the overall performance is poor, while the system in this paper performs well, indicating that the design of this paper is effective.

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Section: Classification Of Plcmentioning

confidence: 99%

The Design and Research of Electric Automation Control System Based on PLC

Zhao¹

2021

IJFS

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“…The repair time of equipment and fluctuations of load in the year are taking account in modeling. The rules of simulations of random values such as available capacity of generator and power line or load value are discussed in [14].…”

Section: The Model Of Power Shortage Estimationmentioning

confidence: 99%

Method of adequacy optimization of electric power systems under market conditions

Aizenberg

Perzhabinsky

2017

E3S Web Conf.

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We suggest a new approach to optimization of the adequacy of electric power system under market conditions which involve competition of various interests of market agents. This feature makes unsuitable of traditional methods for optimization of the adequacy of electric power system. The reliability analysis of the variants of development of electric power system is carried out on the base of the Monte Carlo method. The profit of generating companies is calculated by the obtained reliability indexes which characterize some variant of electric power system development. The investigated variant of development of electric power system is effective if all generating companies choose a sufficient level of reliability that satisfies the consumer. The results of experimental research are presented in the paper.

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“…Problems of development of electric power systems were traditionally solved on a base of minimization of reduced costs [1,2]. We should make a note of follow reliability minimization problems such as: a problem of attaining of a given values of reliability indexes with minimal costs [1]; a problem of minimization of reduced costs and the mathematical expectation of financial damage of electricity shortage [2]; a problem of maximization of reliability index under a given level of costs [2]. For solving these problems, they use information about aggregate electricity demand, a structure of generating equipment and configuration of a network of electric power system.…”

Section: Introductionmentioning

confidence: 99%

Model of adequacy optimization of electric power systems under market conditions

Aizenberg

Perzhabinsky

2018

E3S Web Conf.

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We present a new model of adequacy optimization of electric power systems under market conditions in the article. Optimization is realized by a criteria of maximum of social welfare. Social welfare includes profits of generating companies according penalties of unreliable electricity supply, consumer surplus, costs for development and servicing of electricity grids. Adequacy analysis of variants of development of electric power system is based on multiple estimation of electricity shortage in a random hour of system work. We analyze system work in each of a random hour in two stages. For the first stage we define equilibrium electricity demand in each system node and equilibrium price of electricity according to Cournot model. For the next stage failures of power generating equipment and transmission lines are simulated. We also estimate of electricity shortage in a current hour on the second stage. Reliability indexes and profits of generating companies are formed after a whole cycle of computations. Values of a profit are depended on reliability of electricity supply. Simulation of random values is carried out by the Monte Carlo method.

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A reliability optimization algorithm with average dual estimates for electric power systems

Cited by 6 publications

References 2 publications

The Design and Research of Electric Automation Control System Based on PLC

The Design and Research of Electric Automation Control System Based on PLC

Method of adequacy optimization of electric power systems under market conditions

Model of adequacy optimization of electric power systems under market conditions

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