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Energies 2018, 11(9), 2363; https://doi.org/10.3390/en11092363

Applied Research on Distributed Generation Optimal Allocation Based on Improved Estimation of Distribution Algorithm

1
College of Information Engineering, Nanchang University, Nanchang 330031, China
2
State Grid Jilin Electric Power Company, Changchun 130000, China
*
Author to whom correspondence should be addressed.
Received: 28 July 2018 / Revised: 23 August 2018 / Accepted: 24 August 2018 / Published: 7 September 2018
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Abstract

Most of the current algorithms used to solve the optimal configuration problem in the distributed generation (DG) of electricity depend heavily on control parameters, which may lead to local optimal solutions. To achieve a rapid and effective algorithm of optimized configuration for distributed generation, a hybrid approach combined with Bayesian statistical-inference and distribution estimation is proposed. Specifically, a probability distribution estimation model based on the theory of Bayesian inference is established, then a posteriori probability model with the prior distribution and the conditional distribution is generated, and new individual generators are formed into a dominant group. The information of each individual of this dominant group is used to update the probability model and the updated posteriori probability is used for sampling until the optimal solution is obtained. Finally, the 12 bus, 34 bus and 69 bus radial distribution system is used as an example and comparison is performed to show the effectiveness of the proposed algorithm. View Full-Text
Keywords: distributed generation; radial distribution system; estimation of distribution algorithm; bayesian statistical-inference; posterior probability distributed generation; radial distribution system; estimation of distribution algorithm; bayesian statistical-inference; posterior probability
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Yang, L.; Yang, X.; Wu, Y.; Liu, X. Applied Research on Distributed Generation Optimal Allocation Based on Improved Estimation of Distribution Algorithm. Energies 2018, 11, 2363.

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