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Titlebook: Robust Optimal Planning and Operation of Electrical Energy Systems; Behnam Mohammadi-ivatloo,Morteza Nazari-Heris Book 2019 Springer Natur

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Optimal Robust Microgrid Expansion Planning Considering Intermittent Power Generation and Contingens (RLs). A framework for RMEP is presented based on stochastic-robust optimization for the optimal presence of active microgrid in the electricity market taking into account the IPGs/RLs and contingency uncertainties. The microgrid topology and power flow constraints are considered. The formulated p
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A Robust-Stochastic Approach for Energy Transaction in Energy Hub Under Uncertainty, systems heavily depend on reliability of gas suppliers to ramp up/ramp down during the on-peak hours and intermittent renewable generation and contingencies. Because of interdependency between electricity and natural gas system, it is imperative to co-optimize such two systems in an integrated sche
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Robust Short-Term Scheduling of Smart Distribution Systems Considering Renewable Sources and Demanddering input parameters such as the price of the upstream grid. Next-generation distribution networks or smart distribution networks are the future networks where responsive loads are available. Renewable sources include wind turbines and solar panels have expanded. The presence of electric vehicles
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Robust Optimization Method for Obtaining Optimal Scheduling of Active Distribution Systems Consider parameters. The power systems problems with uncertainty parameters have been investigated using different uncertainty handling models. This chapter aims to study the effect of uncertain power market price on optimal scheduling of distribution systems. The robust optimization (RO) method is applied
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Book 2019e optimal planning and operation of electric energy systems. Chapters cover both theoretical background and applications to address common uncertainty factors such as load variation, power market price, and power generation of renewable energy sources. Case studies with real-world applications are i
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