Smart grid evolution : predictive control of distributed energy resources—A review
- Authors: Babayomi, Oluleke , Zhang, Zhenbin , Dragicevic, Tomislav , Hu, Jiefeng , Rodriguez, Jose
- Date: 2023
- Type: Text , Journal article , Review
- Relation: International Journal of Electrical Power and Energy Systems Vol. 147, no. (2023), p.
- Full Text: false
- Reviewed:
- Description: As the smart grid evolves, it requires increasing distributed intelligence, optimization and control. Model predictive control (MPC) facilitates these functionalities for smart grid applications, namely: microgrids, smart buildings, ancillary services, industrial drives, electric vehicle charging, and distributed generation. Among these, this article focuses on providing a comprehensive review of the applications of MPC to the power electronic interfaces of distributed energy resources (DERs) for grid integration. In particular, the predictive control of power converters for wind energy conversion systems, solar photovoltaics, fuel cells and energy storage systems are covered in detail. The predictive control methods for grid-connected converters, artificial intelligence-based predictive control, open issues and future trends are also reviewed. The study highlights the potential of MPC to facilitate the high-performance, optimal power extraction and control of diverse sustainable grid-connected DERs. Furthermore, the study brings detailed structure to the artificial intelligence techniques that are beneficial to enhance performance, ease deployment and reduce computational burden of predictive control for power converters. © 2022 Elsevier Ltd
Model predictive control of microgrids – An overview
- Authors: Hu, Jiefeng , Shan, Yinghao , Guerrero, Josep , Ioinovici, Adrian , Chan, Ka , Rodriguez, Jose
- Date: 2021
- Type: Text , Journal article , Review
- Relation: Renewable and Sustainable Energy Reviews Vol. 136, no. (2021), p.
- Full Text: false
- Reviewed:
- Description: The development of microgrids is an advantageous option for integrating rapidly growing renewable energies. However, the stochastic nature of renewable energies and variable power demand have created many challenges like unstable voltage/frequency and complicated power management and interaction with the utility grid. Recently, predictive control with its fast transient response and flexibility to accommodate different constraints has presented huge potentials in microgrid applications. This paper provides a comprehensive review of model predictive control (MPC) in individual and interconnected microgrids, including both converter-level and grid-level control strategies applied to three layers of the hierarchical control architecture. This survey shows that MPC is at the beginning of the application in microgrids and that it emerges as a competitive alternative to conventional methods in voltage regulation, frequency control, power flow management and economic operation optimization. Also, some of the most important trends in MPC development have been highlighted and discussed as future perspectives. © 2020 Elsevier Ltd
- Description: This work was supported by School of Engineering, IT and Physical Sciences, Federation University Australia , under Project RGS20-5 .
Enhancement of voltage regulation capability for DC-microgrid composed by battery test system : a fractional-order virtual inertia method
- Authors: Long, Bo , Zeng, Wei , Rodriguez, Jose , Guerrero, Joseph , Hu, Jiefeng , Chong, Kil To
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Transactions on Power Electronics Vol. 37, no. 10 (2022), p. 12538-12551
- Full Text: false
- Reviewed:
- Description: Electric vehicle (EV) has been widely used in our life, one of the key technologies is the batteries, power accumulator battery test system (PABTS), which is initiated for evaluating the performance of the EV batteries, has been used in many battery-manufacture companies. The parallel operation of the PABTS forms a dc-microgrid, owing to the low inertia of the dc-link capacitance, the charging and discharging tests of the batteries can easily cause dc-bus voltage fluctuations, which may jeopardize the system stability. To increase the system inertia and achieve good system stability, a fractional-order model-predictive-control (FOMPC) and fractional-order virtual-inertia-control (FOVIC) strategy (namely, FOMPC-FOVIC method) is proposed for the bidirectional grid-connected converter. First, the fractional-order virtual inertial link is used to replace the integral-order virtual inertial link, which significantly improves the system stability. Second, combined with fractional-order model-predictive-control, virtual dc current compensation is proposed to further suppress the dc-bus voltage fluctuations. Finally, the fractional-order discrete state-space equation of the virtual inertial link is derived, and the cost function design and its optimal solution are elaborated. To demonstrate the effectiveness of the proposed FOMPC-FOVIC scheme, experimental results indicate that the proposed method is superior to the existing methods in terms of inertial support and dc-bus voltage regulation. © 1986-2012 IEEE.
Reduced switch multilevel inverter topologies for renewable energy sources
- Authors: Sarebanzadeh, Maryam , Hosseinzadeh, Mohammad , Garcia, Cristian , Babaei, Ebrahim , Islam, Syed , Rodriguez, Jose
- Date: 2021
- Type: Text , Journal article
- Relation: IEEE Access Vol. 9, no. (2021), p. 120580-120595
- Full Text:
- Reviewed:
- Description: This article proposes two generalized multilevel inverter configurations that reduce the number of switching devices, isolated DC sources, and total standing voltage on power switches, making them suitable for renewable energy sources. The main topology is a multilevel inverter that handles two isolated DC sources with ten power switches to create 25 voltage levels. Based on the main proposed topology, two generalized multilevel inverters are introduced to provide flexibility in the design and to minimize the number of elements. The optimal topologies for both extensive multilevel inverters are derived from different design objectives such as minimizing the number of elements (gate drivers, DC sources), achieving a large number of levels, and minimizing the total standing voltage. The main advantages of the proposed topologies are a reduced number of elements compared to those required by other existing multilevel inverter topologies. The power loss analysis and standalone PV application of the proposed topologies are discussed. Experimental results are presented for the proposed topology to demonstrate its correct operation. © 2013 IEEE.
Grid impedance detection based on complex coefficient filter and full-order capacitor current observer for three-phase grid-connected inverters
- Authors: Wang, Kaixin , Yang, Yong , Fan, Mingdi , Tang, Yuhang , Li, Haoyang , Chen, Rong , Hu, Jiefeng , Zeng, Weibo , Rodriguez, Jose
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Transactions on Power Electronics Vol. 38, no. 2 (2023), p. 2408-2420
- Full Text: false
- Reviewed:
- Description: This article proposes a new grid impedance detection method incorporating the complex coefficient filter (CCF) with full-order capacitor current observer for a T-type three-level grid-connected inverter controlled by the inverter output current feedback. Compared with conventional CCF impedance detection algorithms, the proposed method reduces the number of current sensors and detects the grid impedance accurately. First, based on the sampled inverter output current and grid-connected voltage signals, the grid-connected current is estimated. Then, the CCF method is used to extract harmonics from the grid-connected current and voltage signals to calculate the grid impedance. Finally, the correctness of the full-order capacitor current observer is verified by simulation and the feasibility and effectiveness of the proposed algorithm are verified experimentally based on a laboratory prototype. © 1986-2012 IEEE.
A novel continuous control set model predictive control for lc-filtered three-phase four-wire three-level voltage-source inverter
- Authors: Yang, Yong , Xiao, Yang , Fan, Mingdi , Wang, Kaixin , Zhang, Xinan , Hu, Jiefeng , Fang, Gang , Zeng, Weibo , Vazquez, Sergio , Rodriguez, Jose
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Transactions on Power Electronics Vol. 38, no. 4 (2023), p. 4572-4584
- Full Text: false
- Reviewed:
- Description: In this article, a novel continuous control set model predictive control (CCS-MPC) is proposed for an LC-filtered three-phase three-level four-wire voltage-source inverter (3P-4W-3L-VSI). The proposed MPC algorithm provides independent control of each phase of the 3P-4W-3L-VSI under various unbalanced load conditions, which shows superior performance under unbalanced loads. Furthermore, different from conventional MPC methods, the CCS-MPC achieves fixed switching frequency, hence simplifying the design of LC filters. In addition, dc offsets are introduced to the proposed modulation to effectively balance the neutral-point voltage of the 3P-4W-3L-VSI. Experimental results are presented to verify the effectiveness of the proposed MPC algorithm. © 1986-2012 IEEE.