Control method to coordinate inverters and batteries for power ramp-rate control in large PV plants: Minimizing energy losses and battery charging stress

被引:5
作者
Gonzalez-Moreno, A. [1 ]
Marcos, J. [1 ,2 ]
de la Parra, I. [1 ,2 ]
Marroyo, L. [1 ,2 ]
机构
[1] Univ Publ Navarra, Dept Elect Elect & Commun Engn, Pamplona 31006, Spain
[2] Univ Publ Navarra, Inst Smart Cities ISC, Pamplona 31006, Spain
关键词
Inverter limitation; Battery energy storage system (BESS); PV smoothing; PV-battery integration; CONTROL STRATEGIES; AGING MODEL; STORAGE; FLUCTUATIONS; REQUIREMENTS; SYSTEMS;
D O I
10.1016/j.est.2023.108621
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
This work presents a novel control method for multi-megawatt photovoltaic (PV) plants that is able to regulate each plant inverter and the battery system to mitigate PV power fluctuations. The proposed control method makes it possible to implement different PV ramp-rate control strategies based on the use of batteries and the limitation of inverters during positive fluctuations, which have been conceptually proposed in the specialized bibliography, but have omitted how to perform the coordination between PV generators. The dynamic model and the tuning of the control parameters are presented and the method is used to correctly implement different inverter-limitation strategies using 5-second data from a real 45 MWp PV plant. Furthermore, a new control strategy is proposed. This strategy reduces curtailment losses to negligible values and takes into account and addresses the intrinsic asymmetry in the battery charging and discharging capability, an issue that has been overlooked in the specialized bibliography. The results show that the proposed control method can effectively control each of the multiple inverters in order to obtain the desired PV plant operation to regulate the battery charging power, even during highly fluctuating scenarios.
引用
收藏
页数:14
相关论文
共 39 条
[1]  
AEMC, 2019, National Electricity Rules Version 150
[2]   A Novel Approach for Ramp-Rate Control of Solar PV Using Energy Storage to Mitigate Output Fluctuations Caused by Cloud Passing [J].
Alam, M. J. E. ;
Muttaqi, K. M. ;
Sutanto, D. .
IEEE TRANSACTIONS ON ENERGY CONVERSION, 2014, 29 (02) :507-518
[3]  
[Anonymous], 2022, Renewables 2021: Global Status Report"
[4]  
[Anonymous], 2023, Puerto Rico Electric Power Authority (PREPA)
[5]   Lithium battery aging model based on Dakin's degradation approach [J].
Baghdadi, Issam ;
Briat, Olivier ;
Deletage, Jean-Yves ;
Gyan, Philippe ;
Vinassa, Jean-Michel .
JOURNAL OF POWER SOURCES, 2016, 325 :273-285
[6]   Review of advanced grid requirements for the integration of large scale photovoltaic power plants in the transmission system [J].
Cabrera-Tobar, Ana ;
Bullich-Massague, Eduard ;
Aragues-Penalba, Monica ;
Gomis-Bellmunt, Oriol .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2016, 62 :971-987
[7]   Robust Proactive Power Smoothing Control of PV Systems Based on Deep Reinforcement Learning [J].
Chen, Xiaoyang ;
Xu, Xu ;
Wang, Jia ;
Fang, Lurui ;
Du, Yang ;
Lim, Eng Gee ;
Ma, Jieming .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2023, 14 (03) :1585-1598
[8]   Dealing with the implementation of ramp-rate control strategies - Challenges and solutions to enable PV plants with energy storage systems to operate correctly [J].
de la Parra, I ;
Marcos, J. ;
Garcia, M. ;
Marroyo, L. .
SOLAR ENERGY, 2018, 169 :242-248
[9]   Improvement of a control strategy for PV power ramp-rate limitation using the inverters: Reduction of the associated energy losses [J].
de la Parra, I. ;
Marcos, J. ;
Garcia, M. ;
Marroyo, L. .
SOLAR ENERGY, 2016, 127 :262-268
[10]   Control strategies to use the minimum energy storage requirement for PV power ramp-rate control [J].
de la Parra, I. ;
Marcos, J. ;
Garcia, M. ;
Marroyo, L. .
SOLAR ENERGY, 2015, 111 :332-343