Renewable Electricity Pricing Mechanism Formation Mechanism Model Prediction

This paper mainly peak and valley electric charges price periods division and peak and valley electric charges determine optimized research established model peak and valley electric charges valley periods division and user response. First apply fuzzy math trapezoid membership function method to det...

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Main Authors: Q. Cai, L. Le
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2016-08-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/4072
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spelling doaj-28aad9be009e4f65a489f73ffb3c5f472021-02-19T21:00:45ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162016-08-015110.3303/CET1651208Renewable Electricity Pricing Mechanism Formation Mechanism Model PredictionQ. CaiL. LeThis paper mainly peak and valley electric charges price periods division and peak and valley electric charges determine optimized research established model peak and valley electric charges valley periods division and user response. First apply fuzzy math trapezoid membership function method to determine the load curve points at the possibility of peak, flat, valley period, providing a theoretical basis for the scientific division valley period. On this basis, load shifting, so that daily load curve of the system becomes more smooth for the purpose of considering the establishment of a user response peak and valley electric charges model and constraint condition set in a peak period pricing constraint that electricity peak period should not be higher than the cost of a small turbine to generate electricity, thereby reducing the small power generating units in the peak period of peak power generation, promote energy conservation.https://www.cetjournal.it/index.php/cet/article/view/4072
collection DOAJ
language English
format Article
sources DOAJ
author Q. Cai
L. Le
spellingShingle Q. Cai
L. Le
Renewable Electricity Pricing Mechanism Formation Mechanism Model Prediction
Chemical Engineering Transactions
author_facet Q. Cai
L. Le
author_sort Q. Cai
title Renewable Electricity Pricing Mechanism Formation Mechanism Model Prediction
title_short Renewable Electricity Pricing Mechanism Formation Mechanism Model Prediction
title_full Renewable Electricity Pricing Mechanism Formation Mechanism Model Prediction
title_fullStr Renewable Electricity Pricing Mechanism Formation Mechanism Model Prediction
title_full_unstemmed Renewable Electricity Pricing Mechanism Formation Mechanism Model Prediction
title_sort renewable electricity pricing mechanism formation mechanism model prediction
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2016-08-01
description This paper mainly peak and valley electric charges price periods division and peak and valley electric charges determine optimized research established model peak and valley electric charges valley periods division and user response. First apply fuzzy math trapezoid membership function method to determine the load curve points at the possibility of peak, flat, valley period, providing a theoretical basis for the scientific division valley period. On this basis, load shifting, so that daily load curve of the system becomes more smooth for the purpose of considering the establishment of a user response peak and valley electric charges model and constraint condition set in a peak period pricing constraint that electricity peak period should not be higher than the cost of a small turbine to generate electricity, thereby reducing the small power generating units in the peak period of peak power generation, promote energy conservation.
url https://www.cetjournal.it/index.php/cet/article/view/4072
work_keys_str_mv AT qcai renewableelectricitypricingmechanismformationmechanismmodelprediction
AT lle renewableelectricitypricingmechanismformationmechanismmodelprediction
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