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In this paper. a mathematical formulation was represented for optimal planning of a developed EH considering operation constraints. The EH consists of different technologies: converters (CHP as heart of EHs. B. and T). direct pipelines (gas and water). and energy storages such as TS. The EH was developed by WT. ES. and DR. Two OFs were presented for deterministic and stochastic environments of the wind power. electricity price. and electricity demand. The OF includes costs associated with the hub investment. operation. reliability. and emission. CPLEX solver of GAMS was employed to solve the MILP model of the hub. SCENRED tool and Backward Forward method were applied to reduce scenarios tree. generated by the Monte Carlo. to best scenarios. Simulation results manifest that: In deterministic circumstances. integration of WT. ES. and DR increases the hub planning investment costs. however there is a desirable reduction in operation. emission. and total costs. Installation and utilization of WT instead of T are considered as a main reason for the costs reduction. B is most probably installed and utilized to supply most the hub heat demands without with integration of WT. ES. and DR. The result substantiates the eminence of WT. ES. and DR to reduce the costs in the deterministic circumstances.
Key Words:
Smart Grids. Reliability. Energy Center. Optimal Planning and Operation. Release. Random Planning
