DISTRIBUTIONALLY ROBUST COOPERATIVE OPTIMAL SCHEDULING OF RESERVE AND DNE OF INTEGRATED ELECTRICITY AND HEATING SYSTEM FAULT RANDOMNESS
To achieve safe and stable operation of the integrated electric heating systems(IEHS)and improve the consumption of renewable energy,a distributionally robust cooperative optimal dispatching model of reserve and do-not-exceed(DNE)of IEHS considering the equipment fault randomness is proposed.Firstly,the deterministic optimal dispatching model of IEHS is established with the minimum operation cost of conventional units and combined heat and power units as the comprehensive optimization objective,and the power/heat balance and safety constraints as the constraints conditions;Secondly,the distributionally robust optimal dispatching model of IEHS is established,which comprehensively considers the wind power,equipment fault randomness and DNE limit.Finally,taking a modified 9-bus system is taken as an example,it is verified that the proposed model can effectively improve the wind power consumption rate and system economy.
integrated electricity and heating systemsdistributionally robust optimizationwind power uncertaintyequipment fault randomnessDNE limit
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万方数据
维普
