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Uncertainty modeling in optimal operation of energy hub in presence of wind, storage and demand response
Ist Teil von
International journal of electrical power & energy systems, 2014-10, Vol.61, p.335-345
Ort / Verlag
Oxford: Elsevier Ltd
Erscheinungsjahr
2014
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
•We develop an energy hub by wind, storage and demand response in distribution network.•We present two objective functions for the hub operation under certainty and uncertainty of wind, price and demand.•We consider operation costs, emission and reliability in the objective function.•We apply two stage stochastic programming of GAMS for solving the hub MILP model under uncertainty.•We evaluate effect of DERs and the uncertainties on hub operation costs and reliability in nine cases.
Renewable energy based Distributed Energy Resources (DERs) are essential of coping with greenhouse gases emission and growing energy needs. Combined Heat and Power (CHP), Wind, Energy Storage technologies (ES) and Demand Response programs (DR) have been confirmed the valuable resources. In this paper, Energy Hub (EH) as a super node in electrical distribution network receives various energy carriers; gas, electricity and wind in its input, and then after conversion, storage, direct connection or shifting demands provides hub required demands; electricity, heat, gas and water. The hub is optimally operated based on objective function considering economic, greenhouse gases emission, reliability and efficiency terms in predicted and stochastic environment of wind, electricity demand and Real Time Pricing (RTP) market. A Monte Carlo simulation is employed to generate scenarios tree based predicted RTP, wind and electricity demand. GAMS; high level algebraic modeling software is employed to reduce and read scenarios for Stochastic Programming in Mixed Integer Linear Programming (MILP) model of proposed approach to endorse when and what technologies should be optimally operated to achieve minimum operation costs and maximum reliability improvement with comparison of nine different cases (wind, price and electricity demand certainties and uncertainties) to satisfy a commercial load. Impact of DERs and effect of wind, price and demand uncertainties are investigated on total hub operation costs and hub reliability and also on which technology most be operated.