Optimal Operation of Active Distribution Network Using Modular Solution
[1]Zhang Hongbin,Wang Kewen.Optimal Operation of Active Distribution Network Using Modular Solution[J].Journal of Zhengzhou University (Engineering Science),2019,40(01):24-31.[doi:10.13705/j.issn.1671-6833.2019.01.013]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
40
Number of periods:
2019 01
Page number:
24-31
Column:
Public date:
2019-01-10
- Title:
- Optimal Operation of Active Distribution Network Using Modular Solution
- Keywords:
- active distribution network; day-ahead scheduling; Active and reactive coordination; distributed generation; controllable load
- CLC:
- -
- Abstract:
- By optimizing the operation mode of the active distribution network, the operation plan of distributed generation, reactive equipment and energy storage equipment could be arranged rationally , and the operation efficiency of distribution network would be improved . The operation cost and the voltage qualification rate in a distribution network were used as the minimize objective, and the operation requirement of power grid and equipment were used as constraints, day-ahead and real-time optimization models with active and reactive power coordination were established . Characteristics of all kinds of variables in the optimization model , and effect degrees of time series in variables were analyzed. Solution modules corresponding to continuous variables, two types of discrete variables, and the coordination between time intervals were established, and the overall optimum was achieved through the iteration among modules. Combined with the characteristics of distribution network, the modular processing method was a simplification of the traditional nonlinear mixed integer dynamic programming algorithm, which has obvious advantages in computing resource demand. The calculation and analysis in the 118- bus example showed that the proposed algorithm was feasible and practical.
- References:
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- Similar References:
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Last Update:
2019-02-28
