Reactive power support pricing of distributed generators with primary energy source uncertainty
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Institute of Electrical and Electronics Engineers (IEEE)
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Resumo
In this paper, a novel methodology to price the reactive power support ancillary service of Distributed Generators (DGs) with primary energy source uncertainty is shown. The proposed methodology provides the service pricing based on the Loss of Opportunity Costs (LOC) calculation. An algorithm is proposed to reduce the uncertainty present in these generators using Multiobjective Power Flows (MOPFs) implemented in multiple probabilistic scenarios through Monte Carlo Simulations (MCS), and modeling the time series associated with the generation of active power from DGs through Markov Chains (MC). © 2011 IEEE.
Descrição
Palavras-chave
Ancillary services , Distributed generation , Primary energy source uncertainty , Reactive power support , Active power , Ancillary service , Distributed Generation , Distributed generators , Markov chains , Monte Carlo Simulation , Multi objective , Novel methodology , Opportunity costs , Power flows , Primary energy source , Service pricing , Computer simulation , Distributed power generation , Markov processes , Monte Carlo methods , Reactive power , Time series , Costs
Idioma
Inglês
Citação
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 104-109.
