scholarly journals Machine Learning in Electric Power Systems Adequacy Assessment Using Monte-Carlo Method

2018 ◽  
Vol 11 (4) ◽  
pp. 146-153
Author(s):  
D.A. Boyarkin ◽  
◽  
D.S. Krupenev ◽  
D.V. Iakubovskii ◽  
◽  
...  
Keyword(s):  
Machine Learning ◽  
Monte Carlo ◽  
Monte Carlo Method ◽  
Power Systems ◽  
Electric Power ◽  
Electric Power Systems ◽  
Adequacy Assessment

scholarly journals Factoring in scheduled repairs of generating units when assessing the resource adequacy of electric power systems

2019 ◽  
Vol 139 ◽  
pp. 01018
Author(s):  
Dmitry Krupenev ◽  
Denis Boyarkin ◽  
Dmitrii Iakubovskii
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Power Systems ◽  
Electric Power ◽  
Numerical Experiments ◽  
Computer Systems ◽  
Electric Power Systems ◽  
The Monte Carlo Method ◽  
Random Events ◽  
Generating Equipment

This study presents the algorithms for modeling of scheduled repairs of generating equipment when assessing the resource adequacy of electric power systems by the Monte Carlo method that relies on random events. We present an analysis of the algorithms adopted in the available software and computer systems used to assess the resource adequacy and highlight their shortcomings. We propose an algorithm for modeling of scheduled repairs of generating units that does away with the flaws of the algorithms adopted elsewhere. In the final part of the article, we present the findings of numerical experiments that test the performance of the algorithms.

scholarly journals Research of mathematical models for minimizing power shortage with quadratic losses in power lines and with using network coefficients (sensitivity coefficients)

2020 ◽  
Vol 216 ◽  
pp. 01009
Author(s):  
Dmitry Krupenev ◽  
Denis Boyarkin ◽  
Dmitrii Iakubovskii
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Power Systems ◽  
Electric Power Systems ◽  
Power Lines ◽  
First Order ◽  
Sensitivity Coefficients ◽  
The Monte Carlo Method ◽  
Adequacy Assessment

The article presents an analysis of the models for minimizing the power shortage used in adequacy assessment by the Monte Carlo method. We analysed two models: a model with quadratic losses in power lines and a model using network coefficients (first-order sensitivity coefficients), that are showing the dependence of the change in power flows through power lines on the balance of generation / consumption in the reliability zones. As a result of the analysis, a conclusion is made about the applicability of the investigated models for adequacy assessment in the long-term planning of the development of electric power systems.

scholarly journals A minimization model of the power shortage of electric power systems with regard to the restrictions on controlled sections

2021 ◽  
pp. 95-120
Author(s):  
Dmitry Iakubovsky ◽  
◽  
Dmitry Krupenev ◽  
Denis Boyarkin ◽  
◽  
...  
Keyword(s):  
Power Systems ◽  
Mathematical Models ◽  
Electric Power ◽  
Power Flow ◽  
Power Transmission ◽  
Electric Power Systems ◽  
Variable Number ◽  
Electric Power System ◽  
Active Power Flow ◽  
Adequacy Assessment

A steady trend towards the development of electric power systems leads to their continuous enlargement and sophistication. As a result, new ways of their control appear. In this regard, the existing models and complexes for adequacy assessment may work inadequately and ineffectively in terms of the obtained results adequacy. To assess the current state of the existing models and complexes, we reviewed and analyzed the domestic and foreign software and computer systems. In particular, we considered mathematical models of minimizing the power shortage. This work is based on the problem of modifying mathematical models of minimizing the power shortage used in adequacy assessment of the electric power systems of one of the complexes under consideration. As a modification of mathematical models, it is proposed to exclude the existing method of using the line capacities and start use correct accounting for the maximum permissible active power flow in controlled sections. The experimental part reflected in the paper concerns the testing of options for models to minimize the power shortage, as well as the proposed modifications on various systems, including those consisting of three and seven reliability zones with a variable number of controlled sections and power lines included in them. The results of the study have shown that the proposed modifications are efficient and can be used in the future. The authors also obtained the most adequate results in terms of the physical laws of electric power system operation due to the model of minimizing the power shortage with quadratic losses which takes into account the limitations of power transmission over controlled sections.

Machine learning driven smart electric power systems: Current trends and new perspectives

2020 ◽  
Vol 272 ◽  
pp. 115237 ◽  
Author(s):  
Muhammad Sohail Ibrahim ◽  
Wei Dong ◽  
Qiang Yang
Keyword(s):  
Machine Learning ◽  
Power Systems ◽  
Electric Power ◽  
Electric Power Systems ◽  
Current Trends
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