Power coordination control method for AC/DC hybrid microgrid considering demand response
-
Hongyu Li
,
Xingyuan Guo
Abstract
AC–DC hybrid microgrid consists of a variety of energy resources, different types of loads and storage devices, and involves the interconnection between AC and DC power grids. This leads to increased complexity in system design and coordination control, which needs to take into account the interactions and coordination between individual components. Considering the demand response, the power coordination control method of AC/DC hybrid microgrid is studied, which can effectively adjust the power of microgrid in different operation modes and ensure its smooth operation. Combined with the topology of AC/DC hybrid microgrid and its bidirectional converter, the constraints such as AC-side load demand response and AC/DC-side power balance are set on the premise of considering demand response. Under such constraints, the microgrid is divided into two modes: sub-network independent operation and inter-network power exchange. Corresponding control sections are designed for the two modes. On the premise of the set constraints, the microgrid power in each mode is coordinated by coordinating the control methods of the converters. The results show that this method can respond to several mode switches of AC/DC hybrid microgrid in time and effectively coordinate and control the power during the switching process under the constraint conditions such as load demand response. In addition, in the single mode of inter-network power exchange, this method can also quickly respond to the load demand, effectively adjust the exchange power between AC and DC subnets of microgrid, realize the reasonable distribution of power, and make the hybrid microgrid run stably in different modes. During the 8 s to 10 s phase of the experiment, the load power of the DC subnetwork of the experimental microgrid did not change, while the load power of the AC subnetwork increased to 36 kW, the reference power and converter power remained unchanged, and the microgrid voltage remained stable.
-
Research ethics: Not applicable.
-
Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.
-
Competing interests: Authors state no conflict of interest.
-
Research funding: None declared.
-
Data availability: The raw data can be obtained on request from the corresponding author.
References
1. Ge, S, He, X, Liu, H, Mi, Y, Wang, C. Frequency coordinated control strategy based on sliding mode method for a microgrid with hybrid energy storage system. IET Gener Transm Distrib 2021;15:1962–71. https://doi.org/10.1049/gtd2.12148.Search in Google Scholar
2. Mansour, L, Mohammad, S, Majid, S, Miadreza, C, Joao, PS. Optimal market-based operation of microgrid with the integration of wind turbines, energy storage system and demand response resources. Energy 2022;239:122156.1–14.10.1016/j.energy.2021.122156Search in Google Scholar
3. Faraji, H, Nosratabadi, SM, Hemmati, R. AC unbalanced and DC load management in multi-bus residential microgrid integrated with hybrid capacity resources. Energy 2022;252:124070.1–13. https://doi.org/10.1016/j.energy.2022.124070.Search in Google Scholar
4. Yu, H, Niu, S, Zhang, Y, Jian, L. An integrated and reconfigurable hybrid AC/DC microgrid architecture with autonomous power flow control for nearly/net zero energy buildings. Appl Energy 2020;263:114610.1–14. https://doi.org/10.1016/j.apenergy.2020.114610.Search in Google Scholar
5. Li, Y, Chen, J, Wang, XJ, Duan, SQ. Double layer fuzzy control optimization strategy for hybrid energy storage in microgrid. Comput Simulat 2022;39:103–7+398.Search in Google Scholar
6. Qiu, H, You, F. Decentralized-distributed robust electric power scheduling for multi-microgrid systems. Appl Energy 2020;269:115146.1–19. https://doi.org/10.1016/j.apenergy.2020.115146.Search in Google Scholar
7. Pannala, S, Padhy, NP, Agarwal, P. Effective power management scheme for PV-battery-DG integrated standalone DC microgrid. IET Electr Power Appl 2020;14:2322–30. https://doi.org/10.1049/iet-epa.2020.0140.Search in Google Scholar
8. Li, X, Dong, C, Jiang, W, Wu, X. An improved coordination control for a novel hybrid AC/DC microgrid architecture with combined energy storage system. Appl Energy 2021;292:116824.1–12. https://doi.org/10.1016/j.apenergy.2021.116824.Search in Google Scholar
9. Espina, E, Cardenas, DR, Simpson-Porco, JW, Saez, D, Kazerani, M. A consensus-based secondary control strategy for hybrid AC/DC microgrids with experimental validation. IEEE Trans Power Electron 2021;36:5971–84. https://doi.org/10.1109/tpel.2020.3031539.Search in Google Scholar
10. Xie, Q, Hui, H, Ding, Y, Ye, C, Lin, Z, Wang, P, et al.. Use of demand response for voltage regulation in power distribution systems with flexible resources. IET Gener Transm Distrib 2020;14:883–92. https://doi.org/10.1049/iet-gtd.2019.1170.Search in Google Scholar
11. Yu, B, Sun, F, Chen, C, Fu, G, Hu, L. Power demand response in the context of smart home application. Energy 2022;240:122774.1–15. https://doi.org/10.1016/j.energy.2021.122774.Search in Google Scholar
12. Kbidi, F, Damour, C, Grondin, D, Hilairet, M, Benne, M. Multistage power and energy management strategy for hybrid microgrid with photovoltaic production and hydrogen storage. Appl Energy 2022;323:1–14.10.1016/j.apenergy.2022.119549Search in Google Scholar
13. Lv, Z, Zhang, Y, Xia, Y, Wei, W. Adjustable inertia implemented by bidirectional power converter in hybrid AC/DC microgrid. IET Gener Transm Distrib 2020;14:3594–603. https://doi.org/10.1049/iet-gtd.2020.0279.Search in Google Scholar
14. Chang, JW, Chae, S, Lee, GS. Distributed optimal power sharing strategy in an islanded hybrid AC/DC microgrid to improve efficiency. IEEE Trans Power Deliv 2023;38:724–37. https://doi.org/10.1109/tpwrd.2022.3197434.Search in Google Scholar
15. Ravada, BR, Tummuru, NR, Ande, BNL. Photovoltaic-wind and hybrid energy storage integrated multisource converter configuration-based grid-interactive microgrid. IEEE Trans Ind Electron 2021;68:4004–13. https://doi.org/10.1109/tie.2020.2984437.Search in Google Scholar
16. Chen, JJ, Qi, BX, Rong, ZK, Peng, K, Zhao, YL, Zhang, XH. Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement. Energy 2021;217:119387.1–16. https://doi.org/10.1016/j.energy.2020.119387.Search in Google Scholar
17. Rana, MM, Romlie, MF, Abdullah, MF, Uddin, M, Sarkar, MR. A novel peak load shaving algorithm for isolated microgrid using hybrid PV-BESS system. Energy 2021;234:121157.1–14. https://doi.org/10.1016/j.energy.2021.121157.Search in Google Scholar
18. Abulanwar, S, Ghanem, A, Rizk, MEM, Hu, W. Adaptive synergistic control strategy for a hybrid AC/DC microgrid during normal operation and contingencies. Appl Energy 2021;304:117756.1–18. https://doi.org/10.1016/j.apenergy.2021.117756.Search in Google Scholar
19. Ghosh, SK, Roy, TK, Pramanik, MAH, Mahmud, MA. A nonlinear double-integral sliding mode controller design for hybrid energy storage systems and solar photovoltaic units to enhance the power management in DC microgrids. IET Gener Transm Distrib 2022;16:2228–41. https://doi.org/10.1049/gtd2.12437.Search in Google Scholar
20. Benlahbib, B, Bouarroudj, N, Mekhilef, S, Abdeldjalil, D, Abdelkrim, T, Bouchafaa, F, et al.. Experimental investigation of power management and control of a PV/wind/fuel cell/battery hybrid energy system microgrid. Int J Hydrogen Energy 2020;45:29110–22. https://doi.org/10.1016/j.ijhydene.2020.07.251.Search in Google Scholar
21. Chakraborty, S, Verma, S, Salgotra, A, Elavarasan, RM, Elangovan, D, Mihet-Popa, L. Solar-based DG allocation using Harris Hawks optimization while considering practical aspects. Energies 2021;14:5206. https://doi.org/10.3390/en14165206.Search in Google Scholar
22. Ray, P, Ray, PK, Dash, SK. Power quality enhancement and power flow analysis of a PV integrated UPQC system in a distribution network. IEEE Trans Ind Appl 2022;58:201–11. https://doi.org/10.1109/TIA.2021.3131404.Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- A seven level fault tolerant hybrid cascaded inverter for renewable energy applications
- Optimal layout scheme design of distribution network micro PMU based on information entropy theory
- Current sensorless model predictive control for LC-filtered voltage source inverters based on sliding mode observer
- BCLM: a novel chaotic map for designing cryptography-based security mechanism for IEEE C37.118.2 PMU communication in smart grid
- Design and control of utility grid-tied bipolar DC microgrid
- Network dynamics in hybrid microgrid and its implications on stability analysis
- Electrical modelling, design, and implementation of a hardware PEM electrolyzer emulator for smart grid testing
- A hybrid search space reduction algorithm and Newton–Raphson based selective harmonic elimination for an asymmetric cascade H-bridge multi-level inverter
- Dynamic load prediction of charging piles for energy storage electric vehicles based on Space-time constraints in the internet of things environment
- Power coordination control method for AC/DC hybrid microgrid considering demand response
- Performance analysis and effective modeling of a solar photovoltaic module based on field tests
- Unleashing the economic potential of wind power for ancillary services
Articles in the same Issue
- Frontmatter
- Research Articles
- A seven level fault tolerant hybrid cascaded inverter for renewable energy applications
- Optimal layout scheme design of distribution network micro PMU based on information entropy theory
- Current sensorless model predictive control for LC-filtered voltage source inverters based on sliding mode observer
- BCLM: a novel chaotic map for designing cryptography-based security mechanism for IEEE C37.118.2 PMU communication in smart grid
- Design and control of utility grid-tied bipolar DC microgrid
- Network dynamics in hybrid microgrid and its implications on stability analysis
- Electrical modelling, design, and implementation of a hardware PEM electrolyzer emulator for smart grid testing
- A hybrid search space reduction algorithm and Newton–Raphson based selective harmonic elimination for an asymmetric cascade H-bridge multi-level inverter
- Dynamic load prediction of charging piles for energy storage electric vehicles based on Space-time constraints in the internet of things environment
- Power coordination control method for AC/DC hybrid microgrid considering demand response
- Performance analysis and effective modeling of a solar photovoltaic module based on field tests
- Unleashing the economic potential of wind power for ancillary services
