Transactions of China Electrotechnical Society  2018, Vol. 33 Issue (11): 2456-2467    DOI: 10.19595/j.cnki.1000-6753.tces.170523
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Robust Economic Dispatch and Reserve Configuration Considering Wind Uncertainty and Gas Network Constraints
LuoYi1, Shao Zhouce2, Zhang Lei1, Yao Liangzhong3
1. School of Electrical and Electronic Engineering Huazhong University of Science and Technology Wuhan 430074 China;
2. State Grid Jiaxing Power Supply Company Jiaxing 314000 China;
3. China Electric Power Research Institute Beijing 100192 China

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Abstract  

In the Chinese northern region during the winter heating period, a large number of heating units operate in the "power determined by heat" mode, and the traditional thermal unit can’t provide adequate regulation ability and reserve capacity, resulting in a large number of wind curtailment. Taking advantage of the rapid adjustment ability of gas turbine can increase the adjustment ability of system and promote wind power consumption. However, in the traditional power system dispatch, the gas network operation constrains is not taken into account, which may make the dispatch calculation results infeasible. Therefore, this paper propose a robust economic dispatch and reserve configuration model considering wind uncertainty and gas network constraints by converting the range of gas turbine reverse to the range of gas inlet and regard it as the uncertain gas load. The C&CG(column-and-constraint generation) algorithm is utilized to split the combined gas-electric dispatch and optimization problem to a robust economic dispatch problem considering wind uncertainty, a reverse configuration problem and a gas network constrained subproblem. The benders algorithm is also used to simplify the solution procedure by breaking down the problem into a primal problem of economic dispatch and reverse configuration and a subproblem of wind uncertainty examination. The simulation results indicate the truth and validity of the model and solutions.

Key wordsGas network constraint      economic dispatch      reserve configuration      robust optimization     
Received: 13 July 2016      Published: 13 June 2018
PACS: TM731  
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