Transactions of China Electrotechnical Society  2018, Vol. 33 Issue (5): 1076-1085    DOI: 10.19595/j.cnki.1000-6753.tces.170087
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Fuzzy Random Chance Constrained Preemptive Goal Programming Scheduling Model Considering Source-Side and Load-Side Uncertainty
Zhao Dongmeim, Yin Jiafu
School of Electrical and Electronic Engineering North China Electric Power University Beijing 102206 China

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Abstract  The double uncertainty of wind power output and demand response of time of use (TOU) bring great difficulty to the system operation scheduling. Based on the combination of fuzzy random chance constrained goal programming (FRCCGP) and preemptive goal programming (PGP), the paper established the bi-level dispatch model considering fuzziness and randomness of the prediction error. First of all, the paper deeply studied the uncertain factors of system operation and model the double uncertainty of the prediction error. In addition, the chance constrained goal programming was introduced to form the reserve deviation indexes. The bi-level model based on PGP identified the rigorous priority level of the safety goals and the economic goals. Finally, the validity of the model was verified with case studies and results showed that the bi-level model could optimize the operation economy on the basic of meeting the security demand.
Key wordsSource-side and load-side uncertainty      fuzzy random theory      chance constrained goal programming      preemptive goal programming      operation scheduling     
Received: 19 January 2017      Published: 14 March 2018
PACS: TM732  
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Zhao Dongmeim
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Zhao Dongmeim,Yin Jiafu. Fuzzy Random Chance Constrained Preemptive Goal Programming Scheduling Model Considering Source-Side and Load-Side Uncertainty[J]. Transactions of China Electrotechnical Society, 2018, 33(5): 1076-1085.
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