Applied Research on Distributed Generation Optimal Allocation Based on Improved Estimation of Distribution Algorithm
Lei Yang,
Xiaohui Yang,
Yue Wu and
Xiaoping Liu
Additional contact information
Lei Yang: College of Information Engineering, Nanchang University, Nanchang 330031, China
Xiaohui Yang: College of Information Engineering, Nanchang University, Nanchang 330031, China
Yue Wu: State Grid Jilin Electric Power Company, Changchun 130000, China
Xiaoping Liu: College of Information Engineering, Nanchang University, Nanchang 330031, China
Energies, 2018, vol. 11, issue 9, 1-17
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.
Keywords: distributed generation; radial distribution system; estimation of distribution algorithm; bayesian statistical-inference; posterior probability (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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