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Abstract
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This study puts forward an optimal framework for unit commitment scheduling of distributed generation
(DG) units in integrated natural gas and electricity distributions system (INGEDS) under high penetration
of coordinated plug-in electric vehicles (PEV), flexibility sources, and renewable energy sources (RES). The
inherent uncertainties in daily commutes of the PEV drivers, RES production, natural gas and electricity
demand, were handled by stochastic programming (SP) scenarios, which were generated according to the
corresponding probability distribution of each parameter. Furthermore, the uncertainties in free electricity
market price were dealt with the robust optimization (RO) approach. The study scrutinized the economictechnical advantages of using linepack model in natural gas distribution network (GDN) and responsive demand
programming in electric distribution network (EDN). The K-means clustering model was deployed to cluster
PEVs according to the behavior of their owners. Standard 20-mode GDN and IEEE 33-bus EDN systems were
deployed to model the embedded energy system. The problem was solved by the standard CPLEX solver. The
outcomes illustrate that smart PEV charging strategy, linepack model, and electrical demand response increase
the total flexibility of the system and bring down total operation expenditure by 25%.
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