Dynamic Coordinated Active–Reactive Power Optimization for Active Distribution Network with Energy Storage Systems

This paper proposes a coordinated active–reactive power optimization model for an active distribution network with energy storage systems, where the active and reactive resources are handled simultaneously. The model aims to minimize the power losses, the operation cost, and the voltage deviation of...

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Veröffentlicht in:Applied sciences Jg. 9; H. 6; S. 1129
Hauptverfasser: Wang, Lingling, Wang, Xu, Jiang, Chuanwen, Yin, Shuo, Yang, Meng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 2019
Schlagworte:
active distribution network
Algorithms
Alternative energy sources
distribution generation
dynamic coordinated optimization
Electricity
Electricity distribution
Energy management
energy storage system
Heuristic
Methods
mixed integer second-order cone programming
Monte Carlo simulation
Normal distribution
Optimization
Renewable resources
Scheduling
Wind farms
Wind power
ISSN:2076-3417, 2076-3417
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Zusammenfassung:This paper proposes a coordinated active–reactive power optimization model for an active distribution network with energy storage systems, where the active and reactive resources are handled simultaneously. The model aims to minimize the power losses, the operation cost, and the voltage deviation of the distribution network. In particular, the reactive power capabilities of distributed generators and energy storage systems are fully utilized to minimize power losses and improve voltage profiles. The uncertainties pertaining to the forecasted values of renewable energy sources are modelled by scenario-based stochastic programming. The second-order cone programming relaxation method is used to deal with the nonlinear power flow constraints and transform the original mixed integer nonlinear programming problem into a tractable mixed integer second-order cone programming model, thus the difficulty of problem solving is significantly reduced. The 33-bus and 69-bus distribution networks are used to demonstrate the effectiveness of the proposed approach. Simulation results show that the proposed coordinated optimization approach helps improve the economic operation for active distribution network while improving the system security significantly.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2076-3417
2076-3417
DOI:10.3390/app9061129