Stochastic coordination of joint wind and photovoltaic systems with energy storage in day-ahead market

被引:85
|
作者
Gomes, I. L. R. [1 ,2 ]
Pousinho, H. M. I. [1 ,2 ]
Melicio, R. [1 ,2 ]
Mendes, V. M. F. [2 ,3 ]
机构
[1] Univ Lisbon, Inst Super Tecn, IDMEC, Lisbon, Portugal
[2] Univ Evora, Escola Ciencias & Tecnol, Dept Fis, Evora, Portugal
[3] Inst Super Engn Lisboa, Dept Elect Engn & Automat, Lisbon, Portugal
关键词
Joint operation; Day-ahead market; Energy storage; PV power; Stochastic linear programming; Wind power; BIDDING STRATEGIES; POWER; OPTIMIZATION; OPERATION; SOLAR; UNITS; FARM;
D O I
10.1016/j.energy.2017.02.080
中图分类号
O414.1 [热力学];
学科分类号
摘要
This paper presents an optimal bid submission in a day-ahead electricity market for the problem of joint operation of wind with photovoltaic power systems having an energy storage device. Uncertainty not only due to the electricity market price, but also due to wind and photovoltaic powers is one of the main characteristics of this submission. The problem is formulated as a two-stage stochastic programming problem. The optimal bids and the energy flow in the batteries are the first-stage variables and the energy deviation is the second stage variable of the problem. Energy storage is a way to harness renewable energy conversion, allowing the store and discharge of energy at conveniently market prices. A case study with data from the Iberian day-ahead electricity market is presented and a comparison between joint and disjoint operations is discussed. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:310 / 320
页数:11
相关论文
共 50 条
  • [1] Wind power with energy storage arbitrage in day-ahead market by a stochastic MILP approach
    Gomes, I.L.R.
    Melicio, R.
    Mendes, V.M.F.
    Pousinho, H.M.I.
    [J]. Logic Journal of the IGPL, 2021, 28 (04) : 570 - 582
  • [2] Wind Power with Energy Storage Arbitrage in Day-ahead Market by a Stochastic MILP Approach
    Gomes, I. L. R.
    Melicio, R.
    Mendes, V. M. F.
    Pousinho, H. M., I
    [J]. LOGIC JOURNAL OF THE IGPL, 2020, 28 (04) : 570 - 582
  • [3] Day-ahead stochastic coordinated scheduling for thermal-hydro-wind-photovoltaic systems
    Yin, Yue
    Liu, Tianqi
    He, Chuan
    [J]. ENERGY, 2019, 187
  • [4] Day-Ahead Scheduling of Wind Generation and Energy Storage
    Shaaban, Mohamed
    Tan, Wen-Shan
    Abdullah, Md Pauzi
    [J]. TENCON 2017 - 2017 IEEE REGION 10 CONFERENCE, 2017, : 2319 - 2324
  • [5] Energy Storage Operation in the Day-Ahead Electricity Market
    Pandzic, Hrvoje
    Kuzle, Igor
    [J]. 2015 12TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2015,
  • [6] Impacts of Energy Storage Systems on Market Power in a Day-Ahead Market with a Dominant Producer
    Mokhtari, Ali
    Latify, Mohammad Amin
    Rahimiyan, Morteza
    [J]. 26TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE 2018), 2018, : 1337 - 1342
  • [7] Uncertain optimization of wind-photovoltaic-liquid air energy storage cluster based on cooperative game in day-ahead market
    Yan, Cai-Xin
    Qiu, Zhi-Feng
    Wang, Chun-Sheng
    [J]. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2023, 40 (11): : 2028 - 2038
  • [8] Reserve Model of Energy Storage in Day-Ahead Joint Energy and Reserve Markets: A Stochastic UC Solution
    Tang, Zao
    Liu, Yikui
    Wu, Lei
    Liu, Junyong
    Gao, Hongjun
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2021, 12 (01) : 372 - 382
  • [9] Optimal Coordinated Bidding Strategy of Wind and Solar System with Energy Storage in Day-ahead Market
    Yinping Yang
    Chao Qin
    Yuan Zeng
    Chengshan Wang
    [J]. Journal of Modern Power Systems and Clean Energy, 2022, (01) : 192 - 203
  • [10] Optimal Coordinated Bidding Strategy of Wind and Solar System with Energy Storage in Day-ahead Market
    Yang, Yinping
    Qin, Chao
    Zeng, Yuan
    Wang, Chengshan
    [J]. JOURNAL OF MODERN POWER SYSTEMS AND CLEAN ENERGY, 2022, 10 (01) : 192 - 203