首页|Distributed Hybrid Model Predictive Secondary Control of DC Microgrids with Random Communication Disorders
Distributed Hybrid Model Predictive Secondary Control of DC Microgrids with Random Communication Disorders
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A reliable and robust communication network is es-sential to exchange information between distributed generators(DGs)and accurately calculate their control actions in mi-crogrids(MGs).However,the integration of the communication network and MGs poses challenges related to the flexibility,availability,and reliability of the system.Furthermore,random communication disorders such as time delays and packet loss can negatively impact the system performance.Therefore,it is essential to design a suitable secondary controller(SC)with a fast dynamic response to restore voltage and appropriate power-sharing,while ensuring that the effects of random communica-tion disorders are eliminated.In this regard,an optimal distrib-uted hybrid model predictive secondary control method is pre-sented in this paper.Realistic simulations are carried out in a mixed simulation environment based on MATLAB and OM-NET++,by considering IEEE 802.11(WiFi)using the recently developed Internet networking(INET)framework.In the imple-mented application layer,the recoveryUnit is responsible for re-ducing the impact of random communication disorders.The ef-fectiveness and performance of the proposed method in compar-ison with a conventional model predictive control are verified by simulation results.
Microgridmodel predictive controlrandom communication disordersecondary control
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NSTL
万方数据
