Optimizing the Operation of Distributed Generation Using Genetic Algorithms

Jun Du; Dong Yan Zhao; Yu Bo Wang

doi:10.4028/www.scientific.net/AMR.732-733.691

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 732-733Optimizing the Operation of Distributed Generation...

Optimizing the Operation of Distributed Generation Using Genetic Algorithms

Abstract:

By the heuristic algorithm and particle swarm optimization algorithm combining hybrid particle swarm algorithm proposed combination of heuristic search and stochastic optimization,stochastic optimization process using a spanning tree and the loop matrix operations combined to ensure the system topology constraints to improve the efficiency of solution. The analysis shows that the proposed method calculation speed,easy to converge to the global optimal solution. Development of distributed generation units, along with concerns raised over the security of supply has prompted many customers to consider the installation of their own local capacity for generating electricity (and heat). This paper proposes a methodology for optimizing the operation of a portfolio of distributed units, based on profit maximization using genetic algorithms. The method is tested on a set of distributed units, demonstrating the ability to find good solutions in an acceptable time period.

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Periodical:

Advanced Materials Research (Volumes 732-733)

Pages:

691-696

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.732-733.691

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Online since:

August 2013

Authors:

Jun Du*, Dong Yan Zhao, Yu Bo Wang

Keywords:

Genetic Algorithm (GA), Optimization Method, Power Generation Scheduling

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* - Corresponding Author

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