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Surrogate constraint method for optimal power flow
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DOI：10.1109/59.709103.png)
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摘要
En 中文
This paper represents a technique based an constraints surrogate defined by the Maximum Entropy Principle For optimal power flow problem. One of the obstacles impeding the OFF calculations is the problems associated with handling a large number of functional inequality constraints, which cause computational inefficiencies for large systems. To cope with this problem, this paper proposes a methodology which aggregates all inequality constraints into one surrogate constraint with a single parameter according to Maximum Entropy Principle. This implementation not only reduces the scale or dimensions of OFF problems, but also improves the convergence characteristics. Several numerical examples including a practical power system are provided to show the efficiency of the proposed approach.
Keyword:
optimal power flow
surrogate constraint
Maximum Entropy Principle
nonlinear programming
inequality constraint
interior point method
mean field theory
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期刊
IF:
7.2
论文数:
1.1W
被引数:
5.0W
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