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Energy Management for Hybrid AC/DC Distribution System With Microgrid Clusters Using Non-Cooperative Game Theory and Robust Optimization
IEEE Transactions on Smart Grid ( IF 8.6 ) Pub Date : 2019-09-05 , DOI: 10.1109/tsg.2019.2939586
Yang Fu , Zhiquan Zhang , Zhenkun Li , Yang Mi

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.

中文翻译:

基于非合作博弈和鲁棒优化的微电网集群交/直流混合配电系统能源管理

本文提出了一种考虑了多个市场参与者的,具有微电网集群的混合AC / DC混合配电系统的新型协调能源管理方法,该方法通过使用非合作博弈理论和鲁棒优化被建模为双层优化问题。混合AC / DC配电网络和每个微电网被视为不同的实体,分别位于模型的上/下层。考虑到可再生能源的不确定性,在双层优化问题中增加了两阶段鲁棒优化,以抑制不确定性对电力相互作用的影响,并在不确定性下实现每个实体的最低运营成本。此外,在上层模型中,AC / DC混合配电网络可以实时控制潮流,促进实体之间的互动,通过对换流站和柴油发电机的有效控制,降低不确定性下的运行成本。每个微电网都通过合理管理储能的充放电来应对不确定性对电力相互作用的影响,从而实现了自己的最低运行成本。通过使用Karush-KuhnTucker条件,可以将提出的模型转换为具有互补性约束(MPCC)的数学程序。最后,在改进的IEEE 33总线混合式AC / DC配电系统上的数值实例证明了该方法的有效性。实现了自己的最低运营成本。通过使用Karush-KuhnTucker条件,可以将提出的模型转换为具有互补性约束(MPCC)的数学程序。最后,在改进的IEEE 33总线混合式AC / DC配电系统上的数值实例证明了该方法的有效性。实现了自己的最低运营成本。通过使用Karush-KuhnTucker条件,可以将提出的模型转换为具有互补性约束(MPCC)的数学程序。最后,在改进的IEEE 33总线混合式AC / DC配电系统上的数值实例证明了该方法的有效性。
更新日期:2020-04-22
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