Energy Management for Hybrid AC/DC Distribution System With Microgrid Clusters Using Non-Cooperative Game Theory and Robust Optimization

This paper presents a novel coordinated energy management approach for hybrid AC/DC distribution system with microgrid clusters considering multiple market players, which is modeled as a bi-level optimization problem by using noncooperative game theory and robust optimization. The hybrid AC/DC distr...

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Bibliographic Details
Published in:IEEE transactions on smart grid Vol. 11; no. 2; pp. 1510 - 1525
Main Authors: Fu, Yang, Zhang, Zhiquan, Li, Zhenkun, Mi, Yang
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.03.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
AC-DC power converters
Clusters
Converters
Diesel generators
Distributed generation
Electric power distribution
Energy management
Energy storage
Game theory
Generators
hybrid AC/DC distribution system
Hybrid systems
Kuhn-Tucker method
Mathematical programming
Microgrids
microgrids clusters
Optimization
Power flow
Renewable energy sources
robust optimization
Robustness (mathematics)
Uncertainty
ISSN:1949-3053, 1949-3061
Online Access:Get full text
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Summary:This paper presents a novel coordinated energy management approach for hybrid AC/DC distribution system with microgrid clusters considering multiple market players, which is modeled as a bi-level optimization problem by using noncooperative game theory and robust optimization. The hybrid AC/DC distribution network and each microgrid are regarded as different entities, which are in the upper/lower level of the model, respectively. Considering the uncertainty of renewable energy, two-stage robust optimization is added in the bi-level optimization problem to suppress the influence of uncertainty on power interaction and achieve the minimum operation costs of each entity under uncertainty. Furthermore, In the upper level model, hybrid AC/DC distribution network can control power flow in real time, promote power interaction between entities, and reduce operation cost under uncertainty by using effective control of converter station and diesel generator. And each microgrid has dealt with the impact of uncertainty on the power interaction by reasonably managing the charge/discharge of energy storage, which realizes its own minimum operation cost. The proposed model can be transformed into mathematical programming with complementarity constraints (MPCC) by using Karush-KuhnTucker conditions. Finally, numerical cases on an improved IEEE 33-bus hybrid AC/DC distribution system show the effectiveness of the proposed method.
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ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2019.2939586