Distributed Optimal Microgrid Energy Management With Considering Stochastic Load

The uncertainty of load is a challenging issue for power systems. These uncertainties can damage the power systems and even cause blackout. Therefore, it is necessary to handle this problem. In this paper, a method for energy management in microgrids with stochastic load is proposed. The design is p...

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Bibliographic Details
Published in:IEEE transactions on sustainable energy 2019-04, Vol.10 (2), p.729-737
Main Authors: Silani, Amirreza, Yazdanpanah, Mohammad Javad
Format: Article
Language:English
Subjects:
Batteries
Blackout
Computer applications
Computer simulation
Controllers
Cost function
Diesel generators
distributed algorithm
Distributed generation
Distributed networks
Electric power distribution
Electric power grids
Energy management
Energy storage
Load
Load modeling
Microgrids
optimal power flow (OPF)
Optimization
Optimization techniques
Photovoltaic cells
Photovoltaics
Solar cells
stochastic load
Stochastic processes
Stochasticity
Stress concentration
Turbines
Uncertainty
Wind power
Wind turbines
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Summary:The uncertainty of load is a challenging issue for power systems. These uncertainties can damage the power systems and even cause blackout. Therefore, it is necessary to handle this problem. In this paper, a method for energy management in microgrids with stochastic load is proposed. The design is performed through solving a nonlinear optimization problem. In the centralized optimization technique, high computational capabilities are needed and the customer's privacy might be infringed. On the contrary, in distributed techniques, the power network and its constraints are neglected since it is assumed that all loads and generations are connected to one bus. Consequently, in the proposed distributed energy management strategy (EMS), the optimization problem is decomposed into two optimization levels, which consist of the microgrid centralized controller and local controllers and the distribution network and the corresponding constraints are taken into account. Since the precise prediction of the load is not accessible, the load is assumed stochastic. The proposed distributed EMS is integrated with diesel generators, wind turbines, photovoltaics, and a battery storage system. The simulation results depict the efficiency of the proposed distributed EMS.
ISSN:1949-3029
1949-3037
DOI:10.1109/TSTE.2018.2846279