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Power Losses Minimization in Radial Distribution Networks by Capacitor Allocation Using Hybrid Evolutionary Computation Technique

Mahfoud R.J., Domvshev A., Sun Y., Panasetsky D., Alkayem N.F., Sidorov D. Power Losses Minimization in Radial Distribution Networks by Capacitor Allocation Using Hybrid Evolutionary Computation Technique // 2nd IEEE Conference on Energy Internet and Energy System Integration, EI2 2018 - Proceedings. ID: 8582451. 2018. P.1-5. ISBN (print): 9781538685495. DOI: 10.1109/EI2.2018.8582451 The current research presents a framework to solve the shunt capacitors' optimal allocation and sizing problem in...

Теги: cuckoo search , differential evolution , radial distribution networks evolutionary algorithms , shunt capacitors , electric load flow , learning algorithms , optimization , reactive power , cuckoo search algorithms , cuckoo searches , evolutionary computation techn
Раздел: ИСЭМ СО РАН
Random forest based approach for concept drift handling

Zhukov A.V., Sidorov D.N., Foley A.M. Random forest based approach for concept drift handling // Communications in Computer and Information Science. Vol.661. 2017. P.69-77. ISBN (print): 978-3-319-52920-2; 978-3-319-52919-6. DOI: 10.1007/978-3-319-52920-2_7 Concept drift has potential in smart grid analysis because the socio-economic behaviour of consumers is not governed by the laws of physics. Likewise there are also applications in wind power forecasting. In this paper we present decision tree...

Теги: machine learning , decision tree , concept drift , ensemble learning , classification , random forest , classification (of information) , decision trees , image analysis , learning algorithms , learning systems , wind power , aggregation rules , concept drifts , empiri
Раздел: ИСЭМ СО РАН
Identification of pre-emergency states in the electric power system on the basis of machine learning technologies

... such a system is to early warn and prevent dangerous states and emergency situations before they lead to a system blackout. Consideration is given to a construction principle of systems for security monitoring and assessment on the basis of machine learning algorithms. The feasibility of the approach in a proof-of-concept has been demonstrated on the modified 53-node reliability test system (IEEE RTS-96) and IEEE 118 power system. © 2016 IEEE. входит

Теги: artificial intelligence , electric power systems , intelligent control , intelligent systems , learning algorithms , learning systems , construction principle , emergency control , emergency situation , emerge
Раздел: ИСЭМ СО РАН
Machine Learning Techniques for Power System Security Assessment

Tomin N.V., Kurbatsky V.G., Sidorov D.N., Zhukov A.V. Machine Learning Techniques for Power System Security Assessment // IFAC-PapersOnLine. Vol.49. No.27. 2016. P.445-450. DOI: 10.1016/j.ifacol.2016.10.773 Modern electricity grids continue to be vulnerable to large-scale blackouts. As all states leading to large-scale blackouts are unique, there is no algorithm to identify pre-emergency states. Moreover, numerical conventional methods are computationally expensive, which makes it difficult to use...

Теги: artificial intelligence , electric power system security , electric power transmission networks , learning algorithms , learning systems , numerical methods , pattern recognition , smart power grids , blackou
Раздел: ИСЭМ СО РАН
Search of nash equilibrium in quadratic n-person game

Minarchenko I. Search of nash equilibrium in quadratic n-person game // Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol.9869 LNCS. 2016. P.509-521. ISBN (print): 9 783 319 . DOI: 10.1007/978-3-319-44914-2_40 This paper is devoted to Nash equilibrium search in quadratic n-person game, where payoff function of each player is quadratic with respect to its strategic variable. Interactions between players are defined...

Теги: computation theory , game theory , learning algorithms , local search (optimization) , operations research , d.c. decomposition , extragradient methods , nash equilibria , nikaido-isoda functions , support fun
Раздел: ИСЭМ СО РАН


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