journal article·2024-06-27Open access

A Review of Distribution Grid Consumption Strategies Containing Distributed Photovoltaics

Shouhang Zhou, Lijuan Ge, Zilong Zheng, Mingyang Wang, Zhiwei Xu

Applied Sciences· Volume 14· Issue 13

Abstract

With the growing energy crisis and environmental problems, distributed photovoltaic (PV), as a clean and renewable form of energy, is receiving more and more attention. However, the large-scale access to distributed PV brings a series of challenges to the distribution network, such as voltage fluctuation, frequency deviation, protection coordination, and other problems. In order to solve these problems, this paper provides a research overview of distribution network consumption strategies containing distributed PV. Firstly, this paper introduces the characteristics of distributed PV and its impact on the distribution grid. Then, the difficulties and challenges of distributed PV consumption are analyzed from the technical and economic levels. On this basis, a comprehensive consumption strategy is proposed, including the following aspects: firstly, it is mentioned to optimize the access method of distributed PV and to reduce the impact on the distribution grid by reasonably choosing the access point and access capacity of distributed PV. Secondly, it summarizes the ways to improve the regulation capacity of distribution networks and improve the consumption capacity of distribution networks for distributed PV through the introduction of energy storage equipment, flexible loads, and other means. Finally, advanced control strategies are summarized to improve the stability and reliability of the distribution network by implementing measures such as power prediction, voltage control, and protection coordination for distributed PV. Overall, this paper synthesizes the research on distribution network consumption strategies containing distributed PV from various aspects, which provides certain theoretical guidance and practical reference for solving distributed PV consumption problems.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Smart Grid Energy Management · Microgrid Control and Optimization · Optimal Power Flow Distribution

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Information, College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University of China, Hohhot 010018, China

Funding

Key Research Program of the Department of Education of Inner Mongolia Autonomous Region

References (100+)

Show source-provided references
1. Thinking about the development strategy of green power enterprises under the goal of “double carbon”
2. Status and Prospect of Photovoltaic Power Generation Technology
3. Xu, T., Wang, S., and Zhao, H. (2023). Joint optimization strategy of distribution network taking into account photovoltaic consumption and optical storage charging allocation. J. Electr. Eng., 1–10.
4. Exploration of solar photovoltaic power generation microgrid technology
5. Huang, Z.Y. (2021). Research on Grid-Connected Design And Operation Analysis of Distributed Photovoltaic Power Generation. [Master’s Thesis, Nanchang University].
6. A review of research on maximum power point tracking of photovoltaic cells
7. Li, Y.Z. (2014). Design and Application of Solar Photovoltaic Grid-Connected Power Generation System, Mechanical Industry Press.
8. Distributed photovoltaic siting and capacity determination method considering output uncertainty
9. Optimized configuration and economic analysis of photovoltaic side battery energy storage system
10. Analysis of maximum allowable access peak capacity estimation of distributed photovoltaic power supply to smart grid
11. Zhang, Z., and Wang, W. (2022). Application of distributed photovoltaic power generation system in microgrid. Light Source Light., 113–115.
12. Chen, L., Zhang, D., and Chen, J. (China Electricity News, 2021). Serving rural distributed PV grid-connected consumption, China Electricity News.
13. Li, Z. (2021). Study on the Impact of Distributed Photovoltaic Access on Distribution Network and Optimization of Siting and Capacity Setting. [Master’s Thesis, Northeast Agricultural University].
14. Cai, Y.L. (2021). Research on Distributed Power Source Siting and Capacity Determination Based on MTMBO Algorithm and Its Two-Phase Optimal Scheduling. [Master’s Thesis, Nanchang University].
15. Wang, K. (2018). Research on The Evaluation Method of Photovoltaic Grid-Connected Siting and Capacity-Setting Scheme and Access Mode. [Master’s Thesis, Wuhan University].
16. Yan, H. (2022). Distributed power Siting and Capacity Determination for Distribution Grid Based on Immune Particle Swarm. [Master’s Thesis, Northeast Agricultural University].
17. Zhang, S. (2021). Research on the Grid-Connected Consumption Capacity of High Penetration Photovoltaic. [Master’s Thesis, North China Electric Power University].
18. Study on distributed photovoltaic siting and capacitance of rural distribution network based on improved particle swarm algorithm
19. Zhu, X. (2020). Optimized Siting Analysis of Distributed Photovoltaic Access to Rural Distribution Grid. [Master’s Thesis, Shandong University of Technology].
20. Li, H. (2019). Research on Islanded Microgrid Siting and Capacity Determination based on Particle Swarm Algorithm. [Master’s Thesis, Shandong University].
21. Hui, F. (2019). Research on Optimization Planning and Application of Distributed Photovoltaic Power Generation Cluster with High Penetration Rate. [Master’s Thesis, Hefei University of Technology].
22. Cai, J. (2018). Distributed Power Siting and Capacity Determination Based on Improved Quantum Particle Swarm Algorithm. [Master’s Thesis, Nanjing Normal University].
23. Zhao, L. (2019). Research on Double-Layer Optimization Problem Based on Evolutionary Algorithm and Application. [Master’s Thesis, Xi’an Electronic Science and Technology University].
24. Oudjana, S.H., Zine, R., Mosbah, M., Khattara, A., and Arif, S. (2021). Optimal Placement of Distributed Generation Based PV Source in Electrical Power System for LVSI Improvement Using GA Algorithm. Artificial Intelligence and Renewables Towards an Energy Transition, Springer. ICAIRES 2020, LNNS 174.10.1007/978-3-030-63846-7_25 ↗
25. Singh, A., Sharma, A., Rajput, S., Bose, A., and Hu, X. (2022). An Investigation on Hybrid Particle Swarm Optimization Algorithms for Parameter Optimization of PV Cells. Electronics, 11.10.3390/electronics11060909 ↗
26. Naresh Kumar, M., Venkatesh Kumar, C., Kamalakkannan, D., Thopate, K., Shanmugam, S.K., Vignesh, T., and Kalpanadevi, D. (2023). An Optimized PV-Based Multi-Port Plug-In EV Charger Using Improved Particle Swarm Optimization Algorithm. Electr. Power Compon. Syst., 1–12.10.1080/15325008.2023.2270572 ↗
27. Sikder, S., Konar, G., and Chakraborty, N. (2018, January 14–16). Effect of Hybrid Energy Storage on Sizing of PV-Wind Standalone System using Bacteria Foraging Optimization Algorithm. Proceedings of the 2018 20th National Power Systems Conference (NPSC) Tiruchirappalli, Tamilnadu, India.10.1109/NPSC.2018.8771835 ↗
28. Wavelet-based neural network with genetic algorithm optimization for generation prediction of PV plants10.1016/j.egyr.2022.08.176 ↗
29. Improved Performance Analysis of PV Array Model Using Flower Pollination Algorithm and Gray Wolf Optimization Algorithm10.1155/2022/5803771 ↗
30. Parameter extraction of photovoltaic model based on butterfly optimization algorithm with chaos learning strategy10.1016/j.solener.2024.112353 ↗
31. Firefly algorithm-based load frequency controller design of a two area system composing of PV grid and thermal generator
32. Fuzzy Multi-objective Allocation of Photovoltaic Energy Resources in Unbalanced Network Using Improved Manta Ray Foraging Optimization Algorithm10.1016/j.eswa.2023.121048 ↗
33. The hybrid method based on ant colony optimization algorithm in multiple factor analysis of the environmental impact of solar cell technologies. Mathematical biosciences and engineering10.3934/mbe.2020334 ↗
34. Manta ray foraging optimization:An effective bio-inspired optimizer for engineering applications10.1016/j.engappai.2019.103300 ↗
35. The effect of PV siting on power system flexibility needs10.1016/j.solener.2016.10.018 ↗
36. Efficient Control of Active Transformers for Increasing the PV Hosting Capacity of LV Grids
37. Optimal sizing of Solar Home Systems: Charge controller technology and its influence on system design
38. Multi-objective optimization of solar energy systems for electricity and hot water generation in collective residential buildings considering the power-to-heat concept10.1016/j.applthermaleng.2023.120658 ↗
39. Large-scale spatiotemporal calculation of photovoltaic capacity factors using ray tracing: A case study in urban environments10.1002/pip.3756 ↗
40. Majeed, A.A., Abderrahim, M., and Alkhazraji, A.A. (2024). Optimal Allocation of Photovoltaic-Green Distributed Generation for Maximizing the Performance of Electrical Distribution Networks. Energies, 17.10.3390/en17061376 ↗
41. Optimal PV Size and Location to Reduce Active Power Losses While Achieving Very High Penetration Level With Improvement in Voltage Profile Using Modified Jaya Algorithm10.1109/JPHOTOV.2020.2995580 ↗
42. The greenest decision on photovoltaic system allocation
43. Multi-scale roof characterization from LiDAR data and aerial orthoimagery:Automatic computation of building photovoltaic capacity10.1016/j.autcon.2019.102965 ↗
44. Design of Sizing Algorithms for a Direct Current Off-Grid Photovoltaic Installation10.1109/TLA.2018.8528231 ↗
45. Experimental and numerical analysis of photovoltaics system improvements in urban area
46. Chwieduk, D., Bujalski, W., and Chwieduk, B. (2020). Possibilities of Transition from Centralized Energy Systems to Distributed Energy Sources in Large Polish Cities. Energies, 13.10.3390/en13226007 ↗
47. Bartecka, M., Barchi, G., and Paska, J. (2020). Time-Series PV Hosting Capacity Assessment with Storage Deployment. Energies, 13.10.3390/en13102524 ↗
48. Impact of rapid PV fluctuations on power quality in the low-voltage grid and mitigation strategies using electric vehicles10.1016/j.ijepes.2019.105741 ↗
49. González, R.M., Torbaghan, S.S., Gibescu, M., and Cobben, S. (2016). Harnessing the Flexibility of Thermostatic Loads in Microgrids with Solar Power Generation. Energies, 9.10.3390/en9070547 ↗
50. Kisuule, M., Ndawula, M.B., Gu, C., and Hernando-Gil, I. (2023). PV Hosting Capacity in LV Networks by Combining Customer Voltage Sensitivity and Reliability Analysis. Energies, 16.10.3390/en16165893 ↗
51. The potential of water infrastructure to accommodate solar PV systems in Mediterranean islands10.1016/j.solener.2016.07.003 ↗
52. Distributed Power Generation versus Grid Extension: An Assessment of Solar Photovoltaics for Rural Electrification in Northern Ghana10.1002/pip.439 ↗
53. Zeng, T.-W., Wei, C., and Liu, D. (2024). An Energy Storage Control Device Based on Solar Photovoltaic Power Generation Control. (CN202122727251.8), CN Patent.
54. Forecast-based charging strategy to prolong the lifetime of lithium-ion batteries in standalone PV battery systems in Sub-Saharan Africa10.1016/j.solener.2023.03.029 ↗
55. Regional integrated energy system dispatch strategy considering advanced adiabatic compressed air energy storage device10.1016/j.ijepes.2020.106519 ↗
56. Modeling and simulation of photovoltaic powered battery-supercapacitor hybrid energy storage system for electric vehicles10.1016/j.est.2023.110324 ↗
57. Review on modeling and control of megawatt liquid flow energy storage system10.1016/j.egyr.2023.02.060 ↗
58. A multi-objective optimization model based on mixed integer linear programming for sizing a hybrid PV-hydrogen storage system10.1016/j.ijhydene.2022.12.060 ↗
59. Zeidan, M., Al-soud, M., Dmour, M., Alakayleh, Z., and Al-Qawabah, S. (2023). Integrating a Solar PV System with Pumped Hydroelectric Storage at the Mutah University of Jordan. Energies, 16.10.20944/preprints202307.0514.v2 ↗
60. An Efficient and Credible Grid-Interfaced Solar PV Water Pumping System with Energy Storage10.1109/JPHOTOV.2022.3147449 ↗
61. Analysis of a new photovoltaic lithium-ion unbalanced management energy storage and power generation system
62. Virtual inertia coordinated control strategy for optical storage system with compressed air energy storage
63. Liu, F. (2022). Distributed Photovoltaic Power Generation System Based on Supercapacitor Hybrid Energy Storage. [Master’s Thesis, Anhui University of Technology].
64. Optimized configuration of liquid flow battery energy storage for photovoltaic systems
65. Ji, B.-Y. (2022). Control Strategy and Optimal Configuration of High Penetration Photovoltaic Distribution Network Based on Hydrogen Energy Storage. [Bachelor’s Thesis, Yanshan University].
66. Hierarchical optimal allocation method for distributed energy storage in distribution networks
67. Optimal operation strategy of distributed photovoltaic community shared energy storage based on master-slave game and improved Shapley value
68. Optimized scheduling of integrated energy system for high percentage photovoltaic area based on CVaR
69. Optimal allocation method of distributed photovoltaic energy storage system
70. Optimal allocation of distributed photovoltaic and energy storage systems based on improved particle swarm algorithm
71. Optimal allocation of wind and storage capacity for smart microgrid based on particle swarm optimization algorithm
72. Optimal allocation of energy storage capacity considering wind-scenery probability distribution based on improved firefly algorithm
73. A standalone photovoltaic energy storage application with positive pulse current battery charging10.1016/j.est.2024.111184 ↗
74. Optimal coordinated energy management strategy for standalone solar photovoltaic system with hybrid energy storage10.1016/j.est.2023.107628 ↗
75. Assessment of photovoltaic powered flywheel energy storage system for power generation and conditioning10.1016/j.solener.2023.112045 ↗
76. Energy storage system based on hybrid wind and photovoltaic technologies10.1016/j.measen.2023.100915 ↗
77. Performance investigation of solar photovoltaic systems integrated with battery energy storage10.1016/j.est.2024.110784 ↗
78. Akinte, O.O., Plangklang, B., Prasartkaew, B., and Aina, T.S. (2023). Energy Storage Management of a Solar Photovoltaic–Biomass Hybrid Power System. Energies, 16.10.3390/en16135122 ↗
79. Energy management and capacity planning of photovoltaic-wind-biomass energy system considering hydrogen-battery storage10.1016/j.est.2023.109294 ↗
80. Development of control strategy for community battery energy storage system in grid-connected microgrid of high photovoltaic penetration level10.1016/j.ijepes.2023.109527 ↗
81. Soares, L.T.F., de Souza, A.C., Silva, W.W.A.G., Pugliese, L.F., and Alves, G.H. (2023). Grid-Connected Photovoltaic Systems with Energy Storage for Ancillary Services. Energies, 16.10.3390/en16217379 ↗
82. Energy Management System for Smart Grid in the Presence of Energy Storage and Photovoltaic Systems10.1155/2023/5749756 ↗
83. Impact of distributed photovoltaic power quality problems and management methods
84. A review of reactive voltage control methods for high-ratio distributed photovoltaic grid-connected systems
85. Photovoltaic inverter participation in grid reactive voltage control strategy
86. Voltage coordinated control method for three-phase traction power supply system with distributed photovoltaic access
87. A voltage hierarchical control method for distribution networks considering distributed photovoltaic and energy storage participation
88. A photovoltaic MPPT method based on improved viscous bacteria optimization algorithm
89. Application study of dual optimized PSO in photovoltaic MPPT under partial shading
90. Research on photovoltaic MPPT control based on improved flower pollination algorithm
91. Research on photovoltaic MPPT based on improved flower pollination algorithm
92. Research on multi-peak MPPT of photovoltaic array based on improved gray wolf optimization algorithm
93. MPPT design of hybrid photovoltaic-temperature differential system based on multivariate universe optimization algorithm
94. MPPT control of photovoltaic system based on expert demonstration deep reinforcement learning
95. Yu, L., and Xie, X. (J. Power Supply, 2023). MPPT control of photovoltaic power generation system based on AC reinforcement learning, J. Power Supply, in print.
96. Maximum power point tracking based on constant voltage method combined with variable step-size conductance increment method
97. An Efficient Fuzzy-Logic Based Variable-Step Incremental Conductance MPPT Method for Grid-Connected PV Systems10.1109/ACCESS.2021.3058052 ↗
98. Variable step-size incremental conductance method used in PV power system10.1088/1755-1315/295/4/042006 ↗
99. Gil-Velasco, A., and Aguilar-Castillo, C. (2021). A Modification of the Perturb and Observe Method to Improve the Energy Harvesting of PV Systems under Partial Shading Conditions. Energies, 14.10.3390/en14092521 ↗
100. Research on MPPT of PV System Based on IPSO Algorithm