Real-Time Control of Battery Energy Storage Systems to Provide Ancillary Services Considering Voltage-Dependent Capability of DC-AC Converters

被引:12
|
作者
Yuan, Zhao [1 ]
Zecchino, Antonio [1 ]
Cherkaoui, Rachid [1 ]
Paolone, Mario [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Distributed Elect Syst Lab, CH-1015 Lausanne, Switzerland
基金
欧盟地平线“2020”;
关键词
Battery energy storage systems; real-time control; ancillary services; optimization; discretization; POWER; FREQUENCY;
D O I
10.1109/TSG.2021.3077696
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Frequency response and voltage support are vital ancillary services for power grids. In this paper, we design and experimentally validate a real-time control framework for battery energy storage systems (BESSs) to provide ancillary services to power grids. The objective of the control system is to utilize the full capability of the BESSs to provide ancillary services. We take the voltage-dependent capability curve of the DC-AC converter and the security requirements of BESSs as constraints of the control system. The initial power set-points are obtained based on the droop control approach. To guarantee the feasibility of the power set-points with respect to both the converter capability and BESS security constraints, the final power set-points calculation is formulated as a nonconvex optimization problem. A convex and computationally efficient reformulation of the original control problem is then proposed. We prove that the proposed convex optimization gives the global optimal solution to the original nonconvex problem. We improve the computational performance of this algorithm by discretizing the feasible region of the optimization model. We achieve a 100 ms update time of the controller setpoint computation in the experimental validation of the utility-scale 720 kVA/560 kWh BESS on the EPFL campus.
引用
收藏
页码:4164 / 4175
页数:12
相关论文
共 14 条
  • [1] Real-time implementation of grey fuzzy terminal sliding mode control for PWM DC-AC converters
    Chang, E. -C.
    Liang, T. -J.
    Chen, J. -F
    Chang, F. -J.
    [J]. IET POWER ELECTRONICS, 2008, 1 (02) : 235 - 244
  • [2] Real-Time Distributed Control of Battery Energy Storage Systems for Security Constrained DC-OPF
    Xu, Yinliang
    Hu, Jiefeng
    Gu, Wei
    Su, Wencong
    Liu, Wenxin
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2018, 9 (03) : 1580 - 1589
  • [3] High-performance repetitive control of PWM DC-AC converters with real-time phase-lead FIR filter
    Ye, Yongqiang
    Zhou, Keliang
    Zhang, Bin
    Wang, Danwei
    Wang, Jingcheng
    [J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2006, 53 (08) : 768 - 772
  • [4] REAL-TIME OUTPUT VOLTAGE CONTROL METHOD OF QUASI-ZCS SERIES RESONANT HF-LINKED DC-AC CONVERTER
    ISHIDA, M
    FUJINO, H
    HORI, T
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 1995, 10 (06) : 776 - 783
  • [5] Dimensioning battery energy storage systems for peak shaving based on a real-time control algorithm
    Lange, Christopher
    Ruess, Alexandra
    Nuss, Andreas
    Oechsner, Richard
    Maerz, Martin
    [J]. APPLIED ENERGY, 2020, 280
  • [6] An Adaptive Model-Based Real-time Voltage Control Process for Active Distribution Networks Using Battery Energy Storage Systems
    Bahramipanah, Maryam
    Torregrossa, Dimitri
    Cherkaoui, Rachid
    Paolone, Mario
    [J]. 2016 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC), 2016,
  • [7] Design and Real-Time Simulation of an AC Voltage Regulator Based Battery Charger for Large-Scale PV-Grid Energy Storage Systems
    Vavilapalli, Sridhar
    Subramaniam, Umashankar
    Padmanaban, Sanjeevikumar
    Ramachandaramurthay, Vigna K.
    [J]. IEEE ACCESS, 2017, 5 : 25158 - 25170
  • [8] Real-time optimal power management for a hybrid energy storage system with battery thermal consideration and DC microgrid current estimation capability
    Farrokhi, Ehsan
    Ghoreishy, Hoda
    Ahmadiahangar, Roya
    [J]. ELECTRICAL ENGINEERING, 2024, 106 (04) : 4705 - 4718
  • [9] A real-time energy management control strategy for battery and supercapacitor hybrid energy storage systems of pure electric vehicles
    Zhang, Qiao
    Wang, Lijia
    Li, Gang
    Liu, Yan
    [J]. JOURNAL OF ENERGY STORAGE, 2020, 31
  • [10] Optimal Scheduling and Real-Time Control Schemes of Battery Energy Storage System for Microgrids Considering Contract Demand and Forecast Uncertainty
    Gao, Hong-Chao
    Choi, Joon-Ho
    Yun, Sang-Yun
    Lee, Hak-Ju
    Ahn, Seon-Ju
    [J]. ENERGIES, 2018, 11 (06):