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Distributed noise-resilient secondary voltage and frequency control for islanded microgrids

Mahdian Dehkordi, N ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1109/TSG.2018.2834951
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2018
  4. Abstract:
  5. This paper proposes a novel distributed noise-resilient secondary control for voltage and frequency restoration of islanded microgrid inverter-based distributed generations (DGs) with an additive type of noise. The existing distributed methods commonly are designed as secondary control system systems that operate on the assumption of ideal communication networks among DGs. However, the channels are prone to stochastic noise, whereas each DG obtains noisy measurements of the states of its neighbors via environmental noises. The existing distributed noise-resilient methods, ignore a complete model of the system. In contrast, this paper proposes consensus protocols that take into account both the noisy measurements and a complete nonlinear model of the system, examines the mean-square average consensus for voltage and frequency restoration of islanded AC microgrids in an uncertain environment, and provides accurate proportional real power sharing. Our proposed consensus protocol contains two parts: the state feedback of the agent and the relative states of the DG and its neighboring DGs. Finally, simulation studies are carried out in MATLAB/SimPowerSystems to evaluate the performance of the control laws. Simulation results and comparison with previous work reveals the effectiveness of the proposed method in regulating microgrid voltage and frequency and providing accurate proportional real power sharing. IEEE
  6. Keywords:
  7. Communication networks ; Distributed generation ; Distributed noise-resilient secondary control ; Frequency control ; Mathematical model ; Mean-square average consensus ; Microgrids ; Multi-agent systems ; Noise measurement ; Power sharing ; Protocols ; Stochastic networks ; Voltage control
  8. Source: IEEE Transactions on Smart Grid ; 2018 ; 19493053 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8357506