SoC management strategies in Battery Energy Storage System providing Primary Control Reserve

被引:29
作者
Iurilli, Pietro [1 ]
Brivio, Claudio [2 ]
Merlo, Marco [1 ]
机构
[1] Politecn Milan, Dept Energy, Via La Masa 34, I-20156 Milan, Italy
[2] CSEM PV Ctr, Jaquet Droz 1, CH-2002 Neuchatel, Switzerland
关键词
Battery energy storage systems; Primary frequency control; Lithium-ion technology; Distributed generation; Battery modelling; MODEL;
D O I
10.1016/j.segan.2019.100230
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
Nowadays, the deployment of grid-tied Lithium-ion Battery Energy Storage Systems (BESSs) is a promising technical solution to guarantee the security and reliability of the electric power system characterized by an increasing share of renewable sources. This paper studies BESS for Primary Control Reserve (PCR) provision by developing an approach to properly simulate BESS behaviour. The proposed approach consists of a controller that elaborates the input signals (frequency fluctuations and battery State of Charge) and returns a power setpoint for the battery, a simplified inverter model and the battery model which is the core part of the approach. Finally, economic analyses are detailed to evaluate the investment on a defined period. The case study is developed in Matlab (TM) Simulink (TM) and applied on the Italian regulation framework. Two different battery models are compared: empirical and electrical. Their different nature (e.g. model characteristics and complexity) brings to different results on the PCR service provision. The economic analyses highlight that the optimal design of the BESS is strongly influenced by the penalty costs connected to battery unavailability. In order to guarantee the service continuity SoC mitigation strategies are proposed and simulated; however, it is demonstrated that such strategies might cause a heavier battery utilization impacting on the BESS lifetime expectations and decreasing the investment profitability. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:11
相关论文
共 26 条
  • [1] [Anonymous], 2017, THESIS
  • [2] [Anonymous], INT J ADV ROB SYST
  • [3] [Anonymous], 2012, OPTIMIZATION PHOTOVO, DOI DOI 10.1007/978-1-4471-2403-0_6
  • [4] Bloomberg New Energy Finance, 2017, NEW ENERGY OUTLOOK
  • [5] Application-independent protocol for predicting the efficiency of lithium-ion battery cells in operations
    Brivio, C.
    Musolino, V.
    Alet, P. -J.
    Merlo, M.
    Hutter, A.
    Ballif, C.
    [J]. JOURNAL OF ENERGY STORAGE, 2018, 15 : 415 - 422
  • [6] Brivio C, 2017, I C CLEAN ELECT POW, P410, DOI 10.1109/ICCEP.2017.8004848
  • [7] Brivio C., 2018, IEEE T ENERGY CONVER, P1
  • [8] Battery energy storage system for primary control reserve and energy arbitrage
    Brivio, Claudio
    Mandelli, Stefano
    Merlo, Marco
    [J]. SUSTAINABLE ENERGY GRIDS & NETWORKS, 2016, 6 : 152 - 165
  • [9] Cheng B., 2016, COOPTIMIZING BATTERY
  • [10] Nitrogen and phosphorus treatment of marine wastewater by a laboratory-scale sequencing batch reactor with eco-friendly marine high-efficiency sediment
    Cho, Seonghyeon
    Kim, Jinsoo
    Kim, Sungchul
    Lee, Sang-Seob
    [J]. ENVIRONMENTAL TECHNOLOGY, 2018, 39 (13) : 1721 - 1732