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| A new system recovery algorithm based on network loss estimation |
| Tang Xiaojian, Lin Jikeng, Guo Qiyi |
| College of Electronic and Information Engineering, Tongji University, Shanghai 201804 |
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Abstract Blackstart system recovery is one of the most critical technologies to recover as quickly as possible and reduce economic losses in the event of a power outage. How to formulate an optimal blackstart system recovery plan reasonably and effectively has been a very important research topic in power systems. This paper presents a complete new algorithm for system recovery. First, a new model of complete recovery with the minimum power outage as the objective function is constructed, taking into account the relevant constraints. In order to obtain the optimal system recovery plan and prevent the optimal power flow from converging, a two-stage solution strategy based on network loss estimation is proposed: the first stage establishes and solves the system recovery linear model considering the network loss; the second stage uses the network loss The minimum is the optimal power flow optimization of the objective function and adjustment of the upper-level program. Finally, an IEEE 39 node example is used to verify the effectiveness of the algorithm.
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Received: 14 April 2020
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| Cite this article: |
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Tang Xiaojian,Lin Jikeng,Guo Qiyi. A new system recovery algorithm based on network loss estimation[J]. Electrical Engineering, 2020, 21(10): 15-20.
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| URL: |
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http://dqjs.cesmedia.cn/EN/Y2020/V21/I10/15
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2020, Vol. 21 
