Two-Layer Optimize Algorithm for Microgrid Economic Dispatch

Yan Ding; Rong Jia; Kai Song Dong; Zhen Li; Wei Cheng Shen; Yao Zhao

doi:10.4028/www.scientific.net/AMM.672-674.1336

Paper Titles

Research on AC-DC Power Flow to Solve the Instability of Micro-Grid
p.1314

Research Status of Key Technologies of Seamless Switching in Micro-Grid
p.1318

Scenario-Based Stochastic Programming Strategy for Microgrid Energy Scheduling Considering Uncertainties
p.1322

The Controller Parameters Optimization for Droop Controlled Distributed Generators in Microgrid
p.1329

Two-Layer Optimize Algorithm for Microgrid Economic Dispatch
p.1336

Research on Supporting Role of Smart Grid in Wisdom City
p.1342

Security and Stability Control System Testing Platform for Guangxi Region Power Grid on RTDS
p.1347

Discussion about the Critical Business Demand of Smart Distribution Grid and Utilization
p.1353

Micro-Grid Energy Optimization Include Battery-Swapping-Station
p.1358

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 672-674Two-Layer Optimize Algorithm for Microgrid...

Two-Layer Optimize Algorithm for Microgrid Economic Dispatch

Abstract:

To deal with the super short-time energy management of microgrid, a mixed-integer programming optimization algorithm combined with genetic algorithm is proposed. Firstly, this paper introduced the short-time economic dispatch mathematical model of microgrid. Secondly, a two-layer optimize algorithm is been developed. The lower layer takes no account of power flow constrains, convert the model into a mixed-integer programming problem through linearization techniques. The lower layer gets the generation schedule, and then passes the data to the upper layer. The upper layer takes the power flow constrains into account, optimize the unit output based on genetic algorithm. The simulation result shows that the proposed algorithm achieves a better complementary of the two kinds of optimization algorithm. At the same time, the optimization result also shows the effectiveness of the algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 672-674)

Pages:

1336-1341

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.672-674.1336

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Cite this paper

Online since:

October 2014

Authors:

Yan Ding*, Rong Jia, Kai Song Dong, Zhen Li, Wei Cheng Shen, Yao Zhao

Keywords:

Economic Dispatch, Microgrids (MGs), Mixed-Integer Programming, Two-Layer Optimization

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* - Corresponding Author

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