The software complex of optimal power flow solution for united power system of Russia in a terms of competitive electricity market

Ayuyev, B.I.; Yerokhin, P.M.; Shubin, N.G.; Neujmin, V.G.; Mashalov, E.V.

doi:10.1109/ptc.2005.4524779

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…In addition, reasonable DG appearing will postpone or reduce the investment of power grid expansion. On the other hand, due to DG investors and power supply companies are the different market entity, there are some conflict interest between them, such as, they may cause the grid to produce stranded costs, increase standby costs, and that unreasonable DG connecting to network operation may lead to the increase of energy loss, and even make power system's reliability, stability and power quality serious deterioration [10].…”

Section: Harmonious Development Analysis Between Dg and Distribution mentioning

confidence: 99%

Overall Framework and Module of Distribution Network Coordinated Planning Considering Distributed Generation

LIU¹

2013

ENG

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Combining with the characteristics of China's energy and the strategy of sustainable development, analyzing the pros and cons which caused by the appearance of DG and their operation connecting to grid, this paper points out that the two sides can achieve win-win under a reasonable combination between DG and distribution system, so as to optimize the allocation of resources, improve the utilization ratio of resource, and obtain maximum social benefit, harmoniously promote the development of power industry, economy and environment. As a word, this paper puts forward a new model of distribution network planning including DG and brings in penalty factorto guide the investment and construction of DG. Last of all, this paper presents the adoption of the coordination development coefficients which is to evaluate the power planning

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Section: Harmonious Development Analysis Between Dg and Distribution mentioning

confidence: 99%

Overall Framework and Module of Distribution Network Coordinated Planning Considering Distributed Generation

LIU¹

2013

ENG

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“…Ensuring SSS and TS by introducing restrictions on the amount of active power flows, on the one hand, is an effective measure, and on the other hand, leads to a significant impact on the functioning of the electricity market [1]. The economic distribution of active load power between EPS synchronous generators (SG) is based on the optimization problem [2], which affects the total cost of electricity generation and transmission. Considering additional restrictions on the flow of active capacities inevitably leads to an increase in the cost of electricity for the end consumer.…”

Section: Introductionmentioning

confidence: 99%

Methodology for Transient Stability Enhancement of Power Systems Based on Machine Learning Algorithms and Fast Valving in a Steam Turbine

Senyuk,

Beryozkina,

Safaraliev

et al. 2024

Mathematics

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This study presents the results of the development and testing of a methodology for selecting parameters of the characteristics of fast valving in a steam turbine for emergency power system management to maintain dynamic stability based on machine learning algorithms. Modern power systems have reduced inertia and increased stochasticity due to the active integration of renewable energy sources. As a result, there is an increased likelihood of incorrect operation in traditional emergency automation devices, developed on the principles of deterministic analysis of transient processes. To date, it is possible to increase the adaptability and accuracy of emergency power system management through the application of machine learning algorithms. In this work, fast valving in a steam turbine was chosen as the considered device of emergency automation. To form the data sample, the IEEE39 mathematical model was used, for which benchmark laws of change in the position of the cutoff valve during the fast valving of a steam turbine were selected. The considered machine learning algorithms for classifying the law of change in the position of the steam turbine’s cutoff valve, k-nearest neighbors, support vector machine, decision tree, random forest, and extreme gradient boosting were used. The results show that the highest accuracy corresponds to extreme gradient boosting. For the selected eXtreme Gradient Boosting algorithm, the classification accuracy on the training set was 98.17%, and on the test set it was 97.14%. The work also proposes a methodology for forming synthetic data for the use of machine learning algorithms for emergency management of power systems and suggests directions for further research.

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Decomposition algorithm for power system state estimation by the test equation technique and its implementation on the basis of multi-agent approach

Gamm

Kolosok

Paltsev

2009

2009 IEEE Bucharest PowerTech

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The software complex of optimal power flow solution for united power system of Russia in a terms of competitive electricity market

Cited by 5 publications

References 1 publication

Overall Framework and Module of Distribution Network Coordinated Planning Considering Distributed Generation

Overall Framework and Module of Distribution Network Coordinated Planning Considering Distributed Generation

Methodology for Transient Stability Enhancement of Power Systems Based on Machine Learning Algorithms and Fast Valving in a Steam Turbine

Decomposition algorithm for power system state estimation by the test equation technique and its implementation on the basis of multi-agent approach

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