Potential of Residential Storage Battery Demand Response in Tertiary Balancing Market

被引:4
作者
Otsuki, Tomoshi [1 ]
Kiribuchi, Daiki [1 ]
Kasai, Chihiro [2 ]
机构
[1] Toshiba Co Ltd, 1 Komukai Toshiba Cho,Saiwai Ku, Kawasaki 2120001, Japan
[2] Toshiba Energy Syst & Solut Corp, 72-34 Horikawa Cho,Saiwai Ku, Kawasaki 2120013, Japan
关键词
demand response; balancing market; residential; optimization; scheduling; SIDE MANAGEMENT;
D O I
10.1541/ieejjia.22007327
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
The recent increase in residential photovoltaic (PV) power generation has become a major factor in the electricity supply instability. As a result, power balancing at the distribution level is becoming increasingly important. In Japan, storage batteries installed in residential homes along with PV systems has reached nearly 3 GW and are expected to contribute to the power system stability. In this paper, we propose a method for a group of residential consumers to participate in the balancing market by managing their total meter value to match the target power. This method consists of the following two stages: bid volume optimization, which optimizes the bid volume based on the past behavior of the consumers, and demand response (DR) dispatch optimization, which quickly determines the dispatch of charging and discharging requests every 5 min when DR is requested. Evaluation simulations based on the actual 1-min power data and consumer response model showed that, by aggregating 1600 consumers, the success criteria of the balancing market can be met. In other words, the total metered power in 1-min and 5-min intervals can be controlled within +/- 10% of the bid volume against the target power. From these experiments we have shown that the aggregation of as large as 1600 residential consumers has the potential to participate in the balancing market.
引用
收藏
页码:183 / 193
页数:11
相关论文
共 22 条
  • [1] Agency for Natural Resources and Energy, ANN REP EN FY2020 EN
  • [2] Flexibility of Residential Loads for Demand Response Provisions in Smart Grid
    Alrumayh, Omar
    Bhattacharya, Kankar
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2019, 10 (06) : 6284 - 6297
  • [3] [Anonymous], RESIDENTIAL ENERGY S
  • [4] [Anonymous], 2011, 2011 IEEE POWER ENER
  • [5] Smart Household Operation Considering Bi-Directional EV and ESS Utilization by Real-Time Pricing-Based DR
    Erdinc, Ozan
    Paterakis, Nikolaos G.
    Mendes, Tiago D. P.
    Bakirtzis, Anastasios G.
    Catalao, Joao P. S.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2015, 6 (03) : 1281 - 1291
  • [6] An efficient fully polynomial approximation scheme for the Subset-Sum Problem
    Kellerer, H
    Mansini, R
    Pferschy, U
    Speranza, MG
    [J]. JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 2003, 66 (02) : 349 - 370
  • [7] Demand response in liberalized electricity markets: Analysis of aggregated load participation in the German balancing mechanism
    Koliou, Elta
    Eid, Cherrelle
    Chaves-Avila, Jose Pablo
    Hakvoort, Rudi A.
    [J]. ENERGY, 2014, 71 : 245 - 254
  • [8] Smart Grid Metering Networks: A Survey on Security, Privacy and Open Research Issues
    Kumar, Pardeep
    Lin, Yun
    Bai, Guangdong
    Paverd, Andrew
    Dong, Jin Song
    Martin, Andrew
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2019, 21 (03): : 2886 - 2927
  • [9] Demand Side Management in Smart Grid Using Heuristic Optimization
    Logenthiran, Thillainathan
    Srinivasan, Dipti
    Shun, Tan Zong
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2012, 3 (03) : 1244 - 1252
  • [10] National Grid, NONBM BAL SERV VOL E