Моделювання та порівняльна оцінка собівартості електроенергії генеруючих та накопичувальних технологій

The ability to accumulate electricity on an industrial scale is beneficial for all market participants: producers, suppliers, consumers, and regulators. Analytical reports from research organizations GTM Research and ESA's U.S. Energy Storage Monitor give information on the record volumes of in...

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Bibliographische Detailangaben
Datum:2018
Hauptverfasser: Ivanenko N.P., Denysov V.A.
Format: Artikel
Sprache:Ukrainian
Veröffentlicht: General Energy Institute of the National Academy of Sciences of Ukraine 2018
Schlagworte:
Online Zugang:https://systemre.org/index.php/journal/article/view/692
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Назва журналу:System Research in Energy

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System Research in Energy
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Zusammenfassung:The ability to accumulate electricity on an industrial scale is beneficial for all market participants: producers, suppliers, consumers, and regulators. Analytical reports from research organizations GTM Research and ESA's U.S. Energy Storage Monitor give information on the record volumes of investment to projects of the designing and building of plants for energy storage. In developed countries, energy saving technologies are coming to the stage of commercial use.All this determines the relevance of solving the problem of calculation in real time of the load distribution of generating and accumulating capacities of the power system, which minimizes the prime cost of electricity produced at each time point under the load tracking mode.As the basis for choosing the best solution of this problem, one can take the prime cost matrix of energy that is generated and supplied by various generating plants, when the power system components operate under modes other than the base load mode. Just this stage is described in the present paper.The presence of such a prime cost matrix allows formulating and solving the problem of optimal coverage of the loading schedule at the second stage.Based on the obtained solution, a database of generating and accumulating capacities for each value of the consumption schedule can be created.