The dynamic multi-objective optimal dispatch of grid-connected micro grid

In this paper, a dynamic multi-objective day-ahead optimal dispatch model is constructed to minimize the operating cost and the environmental cost of the grid-connected micro grid which including wind power, photovoltaic power generation, battery and diesel generator. The optimal parameters are the...

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Published in2016 35th Chinese Control Conference (CCC) pp. 2804 - 2809
Main Authors Luo, Ping, Sun, Zuoxiao, Zhu, Shuncun, Wu, Chenxi, Chen, Qiaoyong
Format Conference Proceeding Journal Article
LanguageEnglish
Published TCCT 01.07.2016
Subjects
Batteries
day-ahead optimal dispatch
Diesel
Dynamics
Economics
Electric batteries
Generators
Heuristic algorithms
Mathematical model
Mathematical models
Micro grid
multi-objective optimization
Operating costs
Optimization
Pareto front
Pareto optimality
Power generation
State of charge
Wind speed
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Summary:In this paper, a dynamic multi-objective day-ahead optimal dispatch model is constructed to minimize the operating cost and the environmental cost of the grid-connected micro grid which including wind power, photovoltaic power generation, battery and diesel generator. The optimal parameters are the charge/discharge value of battery and the output power of the diesel generator in 24 hours. In order to solve the nonlinear optimal problem with constraints, the multi-objective particle swarm optimization algorithm is adopted to get the Pareto front of the objective functions. The optimal dispatch schemes according to the lowest environmental cost and the lowest operating cost in the Pareto front are discussed respectively for two typical weather sceneries.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
ObjectType-Feature-3
content type line 23
SourceType-Conference Papers & Proceedings-2
ISSN:2161-2927
1934-1768
DOI:10.1109/ChiCC.2016.7553790