Robust Optimization of Renewable Energy Based Distribution Networks Considering Electrical Energy Storage and Fuel Cell

The uncertainty of power distribution networks parameters such as power market price and power generation output of renewable energy sources defines the requirement for a strong method to handle the uncertain parameters. This paper proposes a rzobust optimization (RO) model for dealing with uncertainty of power market price in day-ahead optimal scheduling of distribution networks. The effect of fuel cell (FC) and electrical energy storage systems in handling peak demand management are considered in optimal scheduling of network containing wind turbine and photovoltaic cell. The proposed model is applied on IEEE 33-bus system in order to obtain the minimum operation cost of the system with optimal generation scheduling of the production units and optimal charge-discharge scheduling of the energy storage units and fuel cell.

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