Hierarchical rule-based control of BESS for voltage regulation and ramp-rate smoothing in low-voltage networks with high photovoltaic
This study proposes a rule-based hierarchical control algorithm for a battery energy storage system (BESS) to simultaneously address two technical challenges in low-voltage distribution networks with high photovoltaic penetration: overvoltage/undervoltage at network nodes and violations of the power ramp-rate limit at the point of common coupling. The algorithm employs the linearized LinDistFlow power-flow model on a 4-bus radial feeder based on the International Council on Large Electric Systems (CIGRE) benchmark, with a 2,000 kWh/300 kW lithium iron phosphate BESS. The operating mechanism consists of two priority levels: Level 1, an inner loop converging from zero to determine the minimum charging/discharging power required to keep the terminal-node voltage within the permissible range; Level 2, an additional ramp-rate correction applied only when it has the same sign as the voltage command. The 24-hour quasi-static simulation results show that the proposed algorithm (Scenario B) reduces the voltage deviation index by 38.66% relative to the no-BESS scenario (Scenario A), completely eliminates voltage violations from 2.8% to 0%, reduces the ramp-rate violation rate from 39.13% to 13.04%, decreases losses by 41.57%, and yields a state of charge drift of only −1.8%. Compared with the single-objective droop scenario (Scenario C), the proposed algorithm outperforms it in all evaluation metrics, confirming the effectiveness of the hierarchical mechanism with a minimum-charge inner loop in preserving battery capacity for coordinated grid services.
1. Alquthami T, Kumar RS, Shaikh AA. Mitigation of voltage rise due to high solar PV penetration in Saudi distribution network. Electr Eng. 2020;102(2):881-890. https://doi.org/10.1007/s00202-020-00920-z
2. Bueno-López M, Sanabria-Villamizar M, Molinas M, Alzate EB. Oscillation analysis of low-voltage distribution systems with high penetration of photovoltaic generation. Electr Eng. 2021;103(2):1141-1154. https://doi.org/10.1007/s00202-020-01152-x
3. Huo Y, Gruosso G. A novel ramp-rate control of grid-tied PV-battery systems to reduce required battery capacity. Energy. 2020;210:118433. https://doi.org/10.1016/j.energy.2020.118433
4. Lappalainen K, Wang GC, Kleissl J. Estimation of the largest expected photovoltaic power ramp rates. Appl Energy. 2020;278:115636. https://doi.org/10.1016/j.apenergy.2020.115636
5. European Committee for Electrotechnical Standardization (CENELEC). EN 50160:2022: Voltage Characteristics of Electricity Supplied by Public Electricity Networks. Brussels, Belgium: CENELEC; 2022.
6. IEEE Standards Association. IEEE Std 1547-2018: Standard for interconnection and interoperability of distributed energy resources with associated electric power systems interfaces. 2018. https://doi.org/10.1109/IEEESTD.2018.8332112
7. Khalil M, Elkhodragy TM, Salem WA. A novel hybrid algorithm based on optimal size and location of photovoltaic with battery energy storage systems for voltage stability enhancement. Electr Eng. 2025;107(1):1009-1034. https://doi.org/10.1007/s00202-024-02508-3
8. Yang J, Luo J, Zhang H. Fuzzy neural network based optimal and fair real power management for voltage security in distribution networks with high PV penetration. J Electr Eng Technol. 2020;15(6):2471-2478. https://doi.org/10.1007/s42835-020-00527-1
9. Shafiullah M, Ahmed SD, Al-Sulaiman FA. Grid integration challenges and solution strategies for solar PV systems: A review. IEEE Access. 2022;10:52233-52257. https://doi.org/10.1109/ACCESS.2022.3174555
10. Stecca M, Elizondo LR, Soeiro TB, Bauer P, Palensky P. A comprehensive review of the integration of battery energy storage systems into distribution networks. IEEE Open J Ind Electron Soc. 2020;1:46-65. https://doi.org/10.1109/OJIES.2020.2981832
11. Zhang Z, Mishra Y, Dou C, Yue D, Zhang B, Tian YC. Steady-state voltage regulation with reduced photovoltaic power curtailment. IEEE J Photovolt. 2020;10(6):1853-1863. https://doi.org/10.1109/JPHOTOV.2020.3026139
12. Nakamura M, Yoshizawa S, Ishii H, et al. Advanced voltage control method for improving the voltage quality of low-voltage distribution networks with photovoltaic penetrations. Energy Inform. 2021;4(S2):31. https://doi.org/10.1186/s42162-021-00149-5
13. Rezaei F, Esmaeili S. A bi-level inter-phase coordinated control method for voltage regulation in unbalanced LV distribution networks using PV-battery energy storage systems. J Energy Storage. 2024;101:113943. https://doi.org/10.1016/j.est.2024.113943
14. Zhao T, Parisio A, Milanović JV. Distributed control of battery energy storage systems in distribution networks for voltage regulation at transmission–distribution network interconnection points. Control Eng Pract. 2022;119:104988. https://doi.org/10.1016/j.conengprac.2021.104988
15. Lai T, Zhao H, Song Y, Wang L, Wang Y, He X. Mechanism and control strategies of lithium‐ion battery safety: a review. Small Methods. 2024;9(1):2400029. https://doi.org/10.1002/smtd.202400029
16. Song Y, Wang L, Sheng L, et al. The significance of mitigating crosstalk in lithium-ion batteries: a review. Energy Environ Sci. 2023;16(5):1943-1963. https://doi.org/10.1039/D3EE00441D
17. Li H, Wang L, Song Y, et al. Significance of current collectors for high performance conventional lithium‐ion batteries: a review. Adv Funct Mater. 2023;33(49):2305515. https://doi.org/10.1002/adfm.202305515
18. Han Y, Luo J, Xie Y, Shen Y, Shao Z, Zhang Q. Dynamic Bridging Ligand‐Induced Regulated Coordination Chemistry for Highly Reversible Zn‐Metal Anodes. Angew Chem Int Ed. 2025;64(52):e12515. https://doi.org/10.1002/anie.202512515
19. Xu S, Xue Y, Chang L. Review of power system support functions for inverter-based distributed energy resources: Standards, control algorithms, and trends. IEEE Open J Power Electron. 2021;2:88-105. https://doi.org/10.1109/OJPEL.2021.3056627
20. Inaolaji A, Savasci A, Paudyal S. Distribution grid optimal power flow in unbalanced multiphase networks with Volt-VAr and Volt-Watt droop settings of smart inverters. IEEE Trans Ind Appl. 2022;58(5):5832-5843. https://doi.org/10.1109/TIA.2022.3181110
21. Chathurangi D, Jayatunga U, Perera S, Agalgaonkar A, Siyambalapitiya T. Comparative evaluation of solar PV hosting capacity enhancement using Volt-VAr and Volt-Watt control strategies. Renew Energy. 2021;177:1063-1075. https://doi.org/10.1016/j.renene.2021.06.037
22. Archetti JAG, Oliveira LW, Oliveira JG. Hardware-in-the-loop Volt–Watt and Volt–VAr control for distribution systems with high penetration of renewables. J Control Autom Electr Syst. 2023;34(1):177-188. https://doi.org/10.1007/s40313-022-00954-7
23. Carlak HF, Güler F. Power plant solar inverter control algorithm design for the Volt/VAr/demand control of a distribution network. Electr Eng. 2022;104(2):681-696. https://doi.org/10.1007/s00202-021-01317-2
24. Yousefi H, Gholamian SA, Zakariazadeh A. Voltage control approach based on PCPM distributed algorithm in the presence of high PV penetration: A stochastic modeling. Electr Eng. 2021;103(6):2561-2572. https://doi.org/10.1007/s00202-021-01249-x
25. Atif A, Khalid M. Savitzky–Golay filtering for solar power smoothing and ramp rate reduction based on controlled battery energy storage. IEEE Access. 2020;8:33806-33817. https://doi.org/10.1109/ACCESS.2020.2973036
26. Syed MA, Khalid M. Moving regression filtering with battery state of charge feedback control for solar PV firming and ramp rate curtailment. IEEE Access. 2021;9:13198-13211. https://doi.org/10.1109/ACCESS.2021.3052142
27. Abdalla AA, Moursi MSE, El-Fouly TH, Hosani KHA. A novel adaptive power smoothing approach for PV power plant with hybrid energy storage system. IEEE Trans Sustain Energy. 2023;14(3):1457-1473. https://doi.org/10.1109/TSTE.2023.3236634
28. Hossain MB, Islam MR, Muttaqi KM, Sutanto D, Agalgaonkar AP. A compensation strategy for mitigating intermittencies within a PV powered microgrid using a hybrid multilevel energy storage system. IEEE Trans Ind Appl. 2023;59(4):5074-5086. https://doi.org/10.1109/TIA.2023.3262771
29. Abdalla AA, Moursi MSE, El-Fouly THM, Hosani KHA. Reliant monotonic charging controllers for parallel-connected battery storage units to reduce PV power ramp rate and battery aging. IEEE Trans Smart Grid. 2023;14(6):4424-4438. https://doi.org/10.1109/TSG.2023.3250987
30. Makibar A, Narvarte L, Lorenzo E. Contributions to the size reduction of a battery used for PV power ramp rate control. Sol Energy. 2021;230:435-448. https://doi.org/10.1016/j.solener.2021.10.047
31. Ryu A, Ishii H, Hayashi Y. Battery smoothing control for photovoltaic system using short-term forecast with total sky images. Electr Power Syst Res. 2021;190:106645. https://doi.org/10.1016/j.epsr.2020.106645
32. Cano A, Arévalo P, Benavides D, Jurado F. Comparative analysis of HESS (battery/supercapacitor) for power smoothing of PV/HKT, simulation and experimental analysis. J Power Sources. 2022;549:232137. https://doi.org/10.1016/j.jpowsour.2022.232137
33. Bektaş E, Bayındır KÇ, Terciyanlı A, Aydın RA, Baykal Ş, Yılmaz H. Energy management integrated Volt-VAr optimization for distribution systems with SVR, PV inverter, and BESS: A case study in distribution system of Elazığ/Turkey. Electr Eng. 2023;105(2):663-680. https://doi.org/10.1007/s00202-022-01690-6
34. Kumar JS, Kumar N. Optimal scheduling of grid connected solar photovoltaic and battery storage system considering degradation cost of battery. Iran J Sci Technol Trans Electr Eng. 2022;46(4):1175-1188. https://doi.org/10.1007/s40998-022-00529-x
35. Zakaria S, Mativenga P, Cseke A. Energy consumption and scope 2 emissions for fused deposition modelling. Procedia CIRP. 2022;105:31-36. https://doi.org/10.1016/j.procir.2022.02.006
36. Emarati M, Barani M, Farahmand H, Aghaei J, Del Granado PC. A two-level over-voltage control strategy in distribution networks with high PV penetration. Int J Electr Power Energy Syst. 2021;130:106763. https://doi.org/10.1016/j.ijepes.2021.106763
37. Khan HA, Zuhaib M, Rihan M. Voltage fluctuation mitigation with coordinated OLTC and energy storage control in high PV penetrating distribution network. Electr Power Syst Res. 2022;208:107924. https://doi.org/10.1016/j.epsr.2022.107924
38. López L, Ropero IL, Gómez-Cornejo J, Aranzabal I, Eguía P. Analysis of impact for PV-BES strategies in low-voltage distribution system. Electr Eng. 2025;107(2):2147-2162. https://doi.org/10.1007/s00202-024-02620-4
39. Fahad S, Goudarzi A, Xiang J. Demand management of active distribution network using coordination of virtual synchronous generators. IEEE Trans Sustain Energy. 2021;12(1):250-261. https://doi.org/10.1109/TSTE.2020.2990917
40. Mohamed AA, Jun M, Mahmud R, et al. Hierarchical control of megawatt-scale charging stations for electric trucks with distributed energy resources. IEEE Trans Transp Electrif. 2023;9(4):4951-4963. https://doi.org/10.1109/TTE.2022.3167647
41. Nguyen M-C. Coordinated demand-side management and energy storage system for a hybrid photovoltaic–wind microgrid under time-of-use tariffs. Int J Optim Control Theor Appl. 2026;16(2):566-579. https://doi.org/10.36922/IJOCTA025480217
42. Demirtas M, Ahmad F. Fractional fuzzy PI controller using particle swarm optimization to improve power factor by boost converter. Int J Optim Control Theor Appl. 2023;13(2):205-213. https://doi.org/10.11121/ijocta.2023.1260
43. Perin D, Karaoglan AD, Yilmaz K. Rotor design optimization of a 4000 rpm permanent magnet synchronous generator using moth flame optimization algorithm. Int J Optim Control Theor Appl. 2024;14(2):123-133. https://doi.org/10.11121/ijocta.1407
44. Patari N, Venkataramanan V, Srivastava A, Molzahn DK, Li N, Annaswamy A. Distributed optimization in distribution systems: Use cases, limitations, and research needs. IEEE Trans Power Syst. 2022;37(5):3469-3481. https://doi.org/10.1109/TPWRS.2021.3132348
45. Zhang Q, Guo Y, Wang Z, Bu F. Distributed optimal conservation voltage reduction in integrated primary-secondary distribution systems. IEEE Trans Smart Grid. 2021;12(5):3889-3900. https://doi.org/10.1109/TSG.2021.3088010
46. Paudel A, Khorasany M, Gooi HB. Decentralized local energy trading in microgrids with voltage management. IEEE Trans Ind Inform. 2021;17(2):1111-1121. https://doi.org/10.1109/TII.2020.2980160
47. Montoya OD, Arias-Londoño A, Garrido V, Gil-González W, Grisales-Noreña LF. A quadratic convex approximation for optimal operation of battery energy storage systems in DC distribution networks. Energy Syst. 2021;14:985-1005. https://doi.org/10.1007/s12667-021-00495-z
48. Jamroen C. The effect of SoC management on economic performance for battery energy storage system in providing voltage regulation in distribution networks. Electr Power Syst Res. 2022;211:108340. https://doi.org/10.1016/j.epsr.2022.108340
49. Gräf D, Marschewski J, Ibing L, et al. What drives capacity degradation in utility-scale battery energy storage systems? The impact of operating strategy and temperature in different grid applications. J Energy Storage. 2022;47:103533. https://doi.org/10.1016/j.est.2021.103533
50. Hupez M, Toubeau J-F, De Grève Z, Vallée F. A new cooperative framework for a fair and cost-optimal allocation of resources within a low voltage electricity community. IEEE Trans Smart Grid. 2021;12(3):2201-2211. https://doi.org/10.1109/TSG.2020.3040086
51. Jouttijärvi S, Karttunen L, Ranta S, Miettunen K. Techno-economic analysis on optimizing the value of photovoltaic electricity in a high-latitude location. Appl Energy. 2024;361:122924. https://doi.org/10.1016/j.apenergy.2024.122924
52. Open Power System Data. Data package time series, version 2020-10-06. Published 2020. https://doi.org/10.25832/time_series/2020-10-06
