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- W2369974865 abstract "An improved max-min ant system(MMAS)algorithm is presented for optimal siting and sizing of distributed generators(DGs)in a microgrid.The strategies of the optimization are to maximize the economic benefit and to guarantee stipulated reliability criteria.Firstly,a multi-objective model for configuration of the independent microgrid,which includes wind power,photovoltaic(PV)generation and energy storage devices in different environments,is developed.The rate of load power supply after a failure is defined.Meanwhile,the related factors,such as the energy excess rate,the steady rate of load power supply and DGsconstraints in the microgrid,are considered.Secondly,an improved MMAS algorithm is proposed to improve the rate and precision of convergence by adaptively adjusting the information heuristic factor and expectation heuristic factor.Then,the flow chart of optimally siting and sizing of DGs is designed.Through an evaluation of economy and reliability during a specified period of time,a comprehensive approach is obtained.Finally,the optimization is programmed in MATLAB to achieve the optimal sizing of a five-bus island system and the optimal siting of the medium voltage microgrid on an island of Denmark.The advancement and feasibility of the improved algorithm are validated through comparison of relevant cases." @default.
- W2369974865 created "2016-06-24" @default.
- W2369974865 creator A5051323218 @default.
- W2369974865 date "2015-01-01" @default.
- W2369974865 modified "2023-09-25" @default.
- W2369974865 title "Optimal Siting and Sizing of DGs for Microgrid Based on Improved MMAS Algorithm" @default.
- W2369974865 hasPublicationYear "2015" @default.
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