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OPTIMAL OPERATION OF HYDROPOWER PLANTS WHILE ASSURING NECESSARY ENERGY RESERVE FOR A NUCLEAR POWER PLANT

Assoc. Prof. Vlad Florin Piraianu, Assoc. Prof. Gabriel Lazaro Pavel, Assoc. Prof. Constantin Dragoi, PhDc. Toma Cojocaru-Greblea

First published: 2017-06-20https://doi.org/10.5593/sgem2017/42/s17.056View metrics

Abstract

The energy sector is an essential component in any nationпїЅs economy and well-being. The security and safety of any energy grid system is nowadays a strongpoint in mid and long term strategies when it comes to national development. Safety and security of energy supply is a multicomponent factor that includes: power generation systems, power transport and distribution systems and consumer management. The power generation units in Romania are very complex and they include different sources like coal, gas, nuclear, hydro and renewable energy like photovoltaic, wind and biomass. Having a complex system, the energy supply has to be reliable and must deal with different challenges like market behavior, consumer specificity and environmental phenomena. Some of the sources can be used to operate on base load regime while others are treated as fast start-up units, for emergency situations, or used for grid services. In January 2017 after some very bad weather conditions, several power lines were severely affected and the Unit 1 from Cernavod? Nuclear Power Plant (NPP) had to function at significant reduced power. At this point electricity could not be transported into the main 400 kV ring of transport. This was in important problem due to the fact that NPP Cernavod? is ensuring approx. 20% of national electricity consumption with the help if two CANDU reactor units. With one unit out of production the national electrical system was put to test. This article presents a new approach in the optimization of energy production of a cascade of hydroelectric power plant (HPP), based on genetic algorithms, that is taking into consideration the necessary energy reserve to compensate for the maintenance period required for the NPP to restart from a limitation in power generation. The study case presented in this paper is limited to specific maintenance of the NPP that will take maximum 48 hours to restore to its normal state of operation, but the model developed could be extended to a longer period with a suitable configuration of the water reservoirs of the HPP.

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Publication details

Title
OPTIMAL OPERATION OF HYDROPOWER PLANTS WHILE ASSURING NECESSARY ENERGY RESERVE FOR A NUCLEAR POWER PLANT
Authors
Assoc. Prof. Vlad Florin Piraianu, Assoc. Prof. Gabriel Lazaro Pavel, Assoc. Prof. Constantin Dragoi, PhDc. Toma Cojocaru-Greblea
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Energy and Clean Technologies
Publisher
STEF92 Technology
Year
2017
Pages
443-450
SWS Citekey
Piraianu201717443450
ISSN
1314-2704
ISBN
978-619-7408-07-2
Language
en
Publication type
Conference Paper
Keywords
References10
  1. About CANDU reactors, https://en.wikipedia.org/wiki/CANDU_reactor, as of May 4, 2017

  2. Xe135 poisoning, https://en.wikipedia.org/wiki/Xenon-135, as of May 4, 2017

  3. Reactor down time due to Xe135 poisoning, http://large.stanford.edu/ courses/2014/ph241/alnoaimi2/, as of 4 May 2017

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  5. Singh, V.K., Singal, S.K., Operation of hydro power plants a review, Renewable & Sustainable Energy Reviews, Volume 69, 2017, pp 610-619

  6. Lisicki, M., Lubitz, W., Taylor, G.W., Optimal design and operation of Archimedes screw turbines using Bayesian optimization, Applied Energy, Volume 183, 2016, pp 1404-1417

  7. Li, F.F., Qiu, J., Multi-objective optimization for integrated hydro-photovoltaic power system, Applied Energy, Volume 167, 2016, pp 377-384.

  8. Chang, L.C.; Chang, F.J.; Wang, K.W.; Dai, S.Y., Constrained genetic algorithms for optimizing multi-use reservoir operation, Journal of Hydrology. 2010, Volume 390, pp 66 74

  9. Chau K.W., Albermani F., Knowledge-based system on optimum design of liquid retaining structures with genetic algorithms, Journal of Structural Engineering, ASCE 129(10), 2003, pp 1312 1321

  10. Piraianu, V.F., Vasiliu, N., Popa, R., Piraianu, C., Development of a decision system support based on genetic algorithms for the optimal operation of hydroelectric power plants on the day ahead market, UPB Scientific Bulletin, Series D: Mechanical Engineering, Volume 77, Issue 2, 2015, Pages 247-256

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