Performance of multi-scenario equivalent hydropower models

被引:12
|
作者
Blom, Evelin [1 ]
Soder, Lennart [1 ]
Risberg, Daniel [2 ]
机构
[1] KTH Royal Inst Technol, Div Elect Power & Energy Syst, Stockholm, Sweden
[2] Fortum, Stockholm, Sweden
关键词
Equivalent model; Hydropower; Hydropower simulation; Optimization; Power system simulation; Reduced model;
D O I
10.1016/j.epsr.2020.106486
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
Simulations and analysis of large hydro-thermal power systems easily become computationally heavy without simplifications of the system at hand. Hydropower, in particular, presents a challenge as complex river systems add a large amount of variables and linked constraints to the analysis. A possible simplification is to use aggregated Equivalent models for different parts of the hydrosystem which give similar results, with respect to e.g. power production, as a more detailed description of the Original system. In this paper, novel linear multi-scenario Equivalent models for hourly simulations of nonlinear hydropower systems are developed and their performance investigated. The new models consider multiple scenarios for inflow, price and start resp. end content in the reservoirs as well as reserves for balancing capacity. The performance analysis is based on case studies over Swedish hydropower systems located in the electricity trading area SE1. The average relative error in power production is 9-15% and the computation time is reduced from 9 hours to between 0.4 and 36 seconds.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Computation of Multi-Scenario Hydropower Equivalents Using Particle Swarm Optimization
    Blom, Evelin
    Soder, Lennart
    2020 20TH IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2020 4TH IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC/I&CPS EUROPE), 2020,
  • [2] Correction of Reservoir Runoff Forecast Based on Multi-scenario Division and Multi Models
    Suiling Wang
    Zhiqiang Jiang
    Hairong Zhang
    Water Resources Management, 2022, 36 : 5277 - 5296
  • [3] Correction of Reservoir Runoff Forecast Based on Multi-scenario Division and Multi Models
    Wang, Suiling
    Jiang, Zhiqiang
    Zhang, Hairong
    WATER RESOURCES MANAGEMENT, 2022, 36 (13) : 5277 - 5296
  • [4] Multi-scenario Modelling of Learning
    Mbatchou, Guy Merlin
    Bouchet, Francois
    Carron, Thibault
    INNOVATIONS AND INTERDISCIPLINARY SOLUTIONS FOR UNDERSERVED AREAS, INTERSOL 2018, 2018, 249 : 199 - 211
  • [5] Multi-Scenario Species Distribution Modeling
    Senay, Senait D.
    Worner, Susan P.
    INSECTS, 2019, 10 (03)
  • [6] Multi-scenario dataset for speaker recognition
    Srivastava, Smriti
    Gopal
    Bhardwaj, Saurabh
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 34 (03) : 1385 - 1392
  • [7] Multi-scenario analysis on hydrogen production development using PESTEL and FCM models
    Kokkinos, Konstantinos
    Karayannis, Vayos
    Samaras, Nicholas
    Moustakas, Konstantinos
    JOURNAL OF CLEANER PRODUCTION, 2023, 419
  • [8] High-performance flexible semiconductor fibres for multi-scenario communication applications
    Lin, Qinghui
    Li, Yang
    Shen, Guozhen
    SCIENCE CHINA-MATERIALS, 2024, 67 (07) : 2363 - 2364
  • [9] High-performance flexible semiconductor fibres for multi-scenario communication applications
    Qinghui Lin
    Yang Li
    Guozhen Shen
    ScienceChina(Materials), 2024, 67 (07) : 2363 - 2364
  • [10] Grid-connected equivalent modeling of microgrids based on data-driven and multi-scenario technologies
    Cai C.
    Xi M.
    Liu H.
    Chen J.
    Zhao D.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2022, 42 (09): : 64 - 69