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Generation dispatch method based on maximum entropy principle for power systems with high penetration of wind power
Abstract This paper proposes a generation dispatch model based on the maximum entropy principle. The objective is to find an optimal generation dispatch strategy that minimizes the generation cost and satisfies the security constraints of power systems, while taking into account the uncertainty of wind power. Since in many situations, only partial information of the probabilistic variables can be obtained, the maximum entropy principle is introduced to find the most likely realized probability distributions of the power flow, thus providing an accurate probabilistic circumstance to solve the generation dispatch model. The proposed method is tested on the IEEE 39-bus system, and is compared with the methodologies based on Monte Carlo simulation and Gram-Charlier expansions.
Generation dispatch method based on maximum entropy principle for power systems with high penetration of wind power
Abstract This paper proposes a generation dispatch model based on the maximum entropy principle. The objective is to find an optimal generation dispatch strategy that minimizes the generation cost and satisfies the security constraints of power systems, while taking into account the uncertainty of wind power. Since in many situations, only partial information of the probabilistic variables can be obtained, the maximum entropy principle is introduced to find the most likely realized probability distributions of the power flow, thus providing an accurate probabilistic circumstance to solve the generation dispatch model. The proposed method is tested on the IEEE 39-bus system, and is compared with the methodologies based on Monte Carlo simulation and Gram-Charlier expansions.
Generation dispatch method based on maximum entropy principle for power systems with high penetration of wind power
Qiaoyan BIAN (author) / Yutao QIU (author) / Wenlian WU (author) / Huanhai XIN (author) / Xuhua FU (author)
2018
Article (Journal)
Electronic Resource
Unknown
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| American Institute of Physics | 2018
| Wiley | 2013