Two-Phase Short-term Scheduling of Renewable Energy Resources and Demand Response

被引：13
|
作者：
Galvan, E. [1 ]
Alcaraz, G. G. [2 ]
Cabrera, N. G. [2 ]
机构：
[1] Univ Texas El Paso, Programa Grad Ingn Elect, El Paso, TX 79968 USA
[2] Inst Tecnol Morelia, Morelia, Michoacan, Mexico
来源：
IEEE LATIN AMERICA TRANSACTIONS | 2015年 / 13卷 / 01期
关键词：
Unit commitment; economic dispatch; renewable energy sources; load forecasting;
D O I：
10.1109/TLA.2015.7040646
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Neglecting input power from renewable energy sources in the unit commitment can lead to excessive commitment of fossil generation, inefficient use of committed power and potential reliability problems. In this paper, a two-phase short-term scheduling with intermittent renewable resources and storage methodology is presented. The first-phase is the day-ahead model which determines the unit commitment operational decisions and feeds them into the second-phase which is a real-time economic dispatch. Perfect forecasting for renewable energy sources is considering besides customer based line is used for demand forecasting. A case study is presented to illustrate the application of the proponed methodology.
引用
收藏
页码：181 / 187
页数：7
相关论文
共 50 条
  • [21] Demand response scheduling of copper production under short-term electricity price uncertainty
    Germscheid, Sonja H. M.
    Roeben, Fritz T. C.
    Sun, Han
    Bardow, Andre
    Mitsos, Alexander
    Dahmen, Manuel
    COMPUTERS & CHEMICAL ENGINEERING, 2023, 178
  • [22] Stochastic security and risk-constrained scheduling for an autonomous microgrid with demand response and renewable energy resources
    Vahedipour-Dahraie, Mostafa
    Rashidizadeh-Kermani, Homa
    Najafi, Hamid Reza
    Anvari-Moghaddam, Amjad
    Guerrero, Josep M.
    IET RENEWABLE POWER GENERATION, 2017, 11 (14) : 1812 - 1821
  • [23] Short-term demand and energy price forecasting
    Contreras, Javier
    Santos, Jesus Riqueline
    CIRCUITS AND SYSTEMS FOR SIGNAL PROCESSING , INFORMATION AND COMMUNICATION TECHNOLOGIES, AND POWER SOURCES AND SYSTEMS, VOL 1 AND 2, PROCEEDINGS, 2006, : 924 - 927
  • [24] Optimal scheduling of short-term hydrothermal with integration of renewable energy resources using Lévy spiral flight artificial hummingbird algorithm
    Jamal, Raheela
    Zhang, Junzhe
    Men, Baohui
    Khan, Noor Habib
    Youssef, Abdel-Raheem
    Ebeed, Mohamed
    Kamel, Salah
    ENERGY REPORTS, 2023, 10 : 2756 - 2777
  • [25] Backup Capacity Planning Considering Short-Term Variability of Renewable Energy Resources in a Power System
    Lee, Deukyoung
    Lee, Dongjun
    Jang, Hanhwi
    Joo, Sung-Kwan
    ELECTRONICS, 2021, 10 (06) : 1 - 14
  • [26] Power markets in transition: Decarbonization, energy efficiency, and short-term demand response
    Mier, Mathias
    Weissbart, Christoph
    ENERGY ECONOMICS, 2020, 86
  • [27] Two-phase deep learning model for short-term wind direction forecasting
    Tang, Zhenhao
    Zhao, Gengnan
    Ouyang, Tinghui
    RENEWABLE ENERGY, 2021, 173 : 1005 - 1016
  • [28] SPANISH RENEWABLE ENERGY GENERATION SHORT-TERM FORECAST
    Perez-Moral, Nicolas
    Martinez-Moll, Victor
    Canals, Vincent
    PROCEEDINGS OF THE ISES SOLAR WORLD CONFERENCE 2015, 2015, : 216 - 227
  • [29] Two-phase neural network based solution technique for short term hydrothermal scheduling
    Naresh, R
    Sharma, J
    IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 1999, 146 (06) : 657 - 663
  • [30] Short-term scheduling of combined heat and power generation units in the presence of demand response programs
    Alipour, Manijeh
    Zare, Kazem
    Mohammadi-Ivatloo, Behnam
    ENERGY, 2014, 71 : 289 - 301
12345