Open AccessOptimal scheduling of power system with photovoltaic power supply considering regional carbon trading
Author(s) -
Zhang Wei,
Sun Po
Publication year - 2017
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0657
Subject(s) - photovoltaic system , emissions trading , computer science , schedule , carbon fibers , carbon tax , environmental economics , greenhouse gas , mathematical optimization , economics , engineering , mathematics , electrical engineering , algorithm , ecology , composite number , biology , operating system
In recent years, carbon trading has become a critical way to realise carbon emission reduction under background of low carbon economy. Based on carbon emission volume, carbon trading process is divided into three periods: carbon quota sales, carbon quota purchases and excessive emission penalty. Usually, inadequate carbon emission quotas will lead to a higher total economic cost in carbon trading process. In this study, a load curtailment mechanism is proposed to avoid higher carbon trading cost or excessive carbon emissions. Photovoltaic (PV) power supply is taken into account in the scheduling model. Carbon trading costs and compensation costs caused by cutting load are considered in the objective function. Fuzzy variables are constructed to solve the uncertainty of PV output and load according to fuzzy theory and applied to fuzzy chance constraints. Nested particle swarm algorithm is employed to reach the desired generation schedule. Case study verifies the effectiveness and rationality of the proposed model and algorithm.