scholarly journals A principally new control system for operating modes of the integrated power system of Ukraine using automatically controlled electric power complexes

Author(s):  
Ye. A. Lenchevsky ◽  
O. I. Teslenko
2019 ◽  
Vol 2019 (16) ◽  
pp. 3294-3300
Author(s):  
Deyu Cai ◽  
Lei Ding ◽  
Xin Zhang ◽  
Vladimir Terzija

2021 ◽  
Vol 304 ◽  
pp. 01001
Author(s):  
Isomiddin Siddikov ◽  
Oksana Porubay

The article is devoted to the issue of creating a mathematical model of the problem of making management decisions in electric power facilities based on modern intelligent technologies, which makes it possible to take into account the influence of various factors on the operating modes of the power system. A systematic approach to describing processes in the mathematical language of the theory of fuzzy sets is proposed. To solve the problem of controlling the operating modes of the power system, a neurofuzzy network has been developed that combines the algorithms of Takagi-Sugeno fuzzy inference, as well as a recurrent neural network. An adaptive learning algorithm based on the Frechet method is proposed for training a neural network. The analysis of the efficiency of the fuzzy control model under the conditions of various modes of functioning of the local power system is carried out.


Author(s):  
Rana A. Jabbar ◽  
Muhammad Junaid ◽  
M. A. Masood ◽  
A. Bashir ◽  
M. Mansoor

Power system analyses and monitoring of power system engineering are as essential as oxygen for human beings. This innovative approach deals with a 132 kV grid simulation in electrical transient analyzer program (ETAP). The existing power distribution system in Pakistan consists of approximately six thousand 11 kV feeders, which are mainly analyzed by software FDR-ANA (Feeder Analyses). This software does not have capability to provide comprehensive analyses for integrated power system. The case under study is 132 kV grid situated in Gujranwala electric power company (GEPCO), one of the distribution companies (DISCO’s) of Pakistan electric power company (PEPCO) which has been selected for comprehensive analyses using ETAP software. This software performs numerical calculations of large integrated power system with fabulous speed, besides generating output reports. In a developing country like Pakistan it is first time that analyses based Off-line monitoring has been made, which includes load flow, harmonic, transient, short circuit and ground grid analyses. In load flow analysis, current flowing in every branch, power factor, active and reactive power flow, line losses, voltage magnitude with angle etc. have been calculated. During harmonic analysis, distorted current and voltage waveforms along with their harmonic spectrum caused by non-linear loads have been recorded. Transient analysis has been performed to record different waveforms like variation in bus frequency, bus real power loading, bus voltage angle, and bus reactive power loading for short interval of time during transient conditions. In ground grid modeling, step, and touch potentials have been calculated in comparison with set standards. While performing short circuit analysis, all the possible short circuit faults like line to ground, double line to ground, 3-phase faults etc. on ½ cycle, 1.5 to 4 cycle, and 30 cycle networks have been performed to record the short circuit currents. These analyses have been executed using ETAP software, based upon historical data obtained from original system that will be very helpful for system security and reliability.


Author(s):  
Zygfryd Domachowski ◽  
Marek Dzida ◽  
M. Hossein Ghaemi

Utilization of windpower is considerably increasing in many countries around of the world. However, it produces an unreliable output due to the vagaries of the wind profile. To solve the problem, wind energy should be supported by local conventional sources. The requirements concerning the reliability and quality of electric energy supply can be most satisfactorily fulfilled when a windfarm is connected to a large electric power system. Then any electric power fluctuations, resulting either from wind turbulence or power demand variation, provoke system frequency variations. They should be damped by applying an appropriate control system of such a large power system. In this paper, the problem of control of a separate electric power system composed of windpower farm and supported by a gas turbine plant or a combined cycle has been investigated. First, the impact of wind turbulence on gas turbine plant control system has been modeled and simulated. This is carried out for different amplitudes and frequencies of wind speed. Next, the structure of gas turbine plant control system and its parameters have been adapted to limit the power and frequency fluctuations resulting from wind turbulence. Then the design is further developed by considering a combined cycle instead of a single gas turbine.


2014 ◽  
Vol 2014 ◽  
pp. 1-7
Author(s):  
Zheng Wang ◽  
Li Xia ◽  
Yongji Wang ◽  
Lei Liu

Ship integrated power system adopts electric power propulsion. Power network and electric power network are integrated into complicated one. Network reconfiguration of ship integrated power system is a typical nonlinear optimization that is multitarget and multiconstraint. According to the characteristics of ship integrated power system, simplified network model and reconfiguration mathematical model are established. A multiagent and particle swarm optimization is presented to solve network reconfiguration problem. The results of simulation show that multiagent and particle swarm optimization can reconfigure ship integrated power system efficiently.


2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Freddy Milla ◽  
Manuel A. Duarte-Mermoud ◽  
Noreys Aguila-Camacho

Although in electric power systems (EPS) the regulatory level guarantees a bounded error between the reference and the corresponding system variables, to keep its availability in time, optimizing the system operation is required for operational reasons such as, economic and/or environmental. In order to do this, there are the following alternative solutions: first, replacing the regulatory system with an optimized control system or simply adding an optimized supervisory level, without modifying the regulatory level. However, due to the high cost associated with the modification of regulatory controllers, the industrial sector accepts more easily the second alternative. In addition, a hierarchical supervisory control system improves the regulatory level through a new optimal signal support, without any direct intervention in the already installed regulatory control system. This work presents a secondary frequency control scheme in an electric power system, through a hierarchical model predictive control (MPC). The regulatory level, corresponding to traditional primary and secondary control, will be maintained. An optimal additive signal is included, which is generated from a MPC algorithm, in order to optimize the behavior of the traditional secondary control system.


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