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Dynamic Economic Dispatch for Microgrid Based on the Chance-Constrained Programming
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Type
Academic journal
Author
Daizheng Huang (Guangxi Medical University) Lingling Xie (Guangxi University) Zhihui Wu (Guangxi Medical University)
Journal
The Korean Institute of Electrical Engineers Journal of Electrical Engineering & Technology Vol.12 No.3 KCI Accredited Journals SCIE
Published
2017.5
Pages
1,064 - 1,072 (9page)

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Dynamic Economic Dispatch for Microgrid Based on the Chance-Constrained Programming
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Abstract· Keywords

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The power of controlled generators in microgrids randomly fluctuate because of the stochastic volatility of the outputs of photovoltaic systems and wind turbines as well as the load demands. To address and dispatch these stochastic factors for daily operations, a dynamic economic dispatch model with the goal of minimizing the generation cost is established via chance-constrained programming. A Monte Carlo simulation combined with particle swarm optimization algorithm is employed to optimize the model. The simulation results show that both the objective function and constraint condition have been tightened and that the operation costs have increased. A higher stability of the system corresponds to the higher operation costs of controlled generators. These operation costs also increase along with the confidence levels for the objective function and constraints.
#Microgrid #Dynamic economic dispatch #Chance-constrained programming

Contents

Abstract
1. Introduction
2. Model
3. Randomness of PV, WT, and LD
4. Optimization algorithm
5. Simulation results
6. Conclusion
References

References (33)

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Islam, Md. R. and Gabbar, H. A. “Study of Small Modular Reactors in Modern Microgrids,” Int T Electr Energy, vol. 25, no. 9:1943-1951, 2015. Venkataramanan Giri. Marnay Chris. “A Larger Role for Microgrids,” IEEE Power Energy M, vol. 6, no. 3:78-82, 2008. Xiarnay Chris,Asano Hiroshi, Papathanassiou Stavros, et a1. “Policy Making for Microgrids,” IEEE Trans. Energy Convers, vol. 6, no. 3:66-77, 2008. Faisal A. Mohamed, Heikki N. Koivo. “System modelling and online optimal management of MicroGrid using mesh adaptive direct search,” Int J Elec Power, vol. 32, no. 5: 398-407, 2010. Si Young Lee, Young Gyu Jin, Sun Kyo Kim,et al. “Operation Planning of Reserve in Microgrid Considering Market Participation and Energy Storage System,” J Electr Eng Technol, vol. 9, no. 3: 1089- 1095, 2014.

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UCI(KEPA) : I410-ECN-0101-2017-560-002385315