Sensitivity Analysis of the Impact of the Sub Hourly Stochastic Unit Commitment on Power System Dynamics

被引:0
|
作者
Kerci, Taulant [1 ]
Giraldo, Juan S. [2 ]
Milano, Federico [1 ]
机构
[1] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin 4, Ireland
[2] Eindhoven Univ Technol, Elect Energy Syst, Dept Elect Engn, NL-5600 Eindhoven, Netherlands
基金
爱尔兰科学基金会;
关键词
subhourly modeling; stochastic unit commitment; cosimulation method; sensitivity analysis; power system dynamic performance; OPTIMIZATION; DISPATCH;
D O I
10.3390/en13061468
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Subhourly modeling of power systems and the use of the stochastic optimization are two relevant solutions proposed in the literature to address the integration of stochastic renewable energy sources. With this aim, this paper deals with the effect of different formulations of the subhourly stochastic unit commitment (SUC) problem on power system dynamics. Different SUC models are presented and embedded into time domain simulations (TDS) through a cosimulation platform. The objective of the paper is to study the combined impact of different frequency control/machine parameters and different SUC formulations on the long-term dynamic behaviour of power systems. The analysis is based on extensive Monte Carlo TDS (MC-TDS) and a variety of scenarios based on the New England 39 -bus system.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Impact of Sub-Hourly Bidding in Power Exchanges in India
    Barpanda, S. S.
    Saxena, S. C.
    Dey, Kaushik
    Kumar, K. V. N. Pawan
    2015 INTERNATIONAL CONFERENCE ON ENERGY ECONOMICS AND ENVIRONMENT (ICEEE), 2015,
  • [22] Analysis of Power System Dynamics Subject to Stochastic Power Injections
    Dhople, Sairaj V.
    Chen, Yu Christine
    DeVille, Lee
    Dominguez-Garcia, Alejandro D.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2013, 60 (12) : 3341 - 3353
  • [23] Hybrid Stochastic/Deterministic Unit Commitment with Wind Power Generation
    Tan, Wen-Shan
    Shaaban, Mohamed
    2015 IEEE EINDHOVEN POWERTECH, 2015,
  • [24] Stochastic Unit Commitment Problem Incorporating Renewable Energy Power
    Ramya, N. M.
    Babu, M. Ramesh
    Arunachalam, S.
    SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, SEMCCO 2014, 2015, 8947 : 686 - 696
  • [25] Solution sensitivity-based scenario reduction for stochastic unit commitment
    Feng Y.
    Ryan S.M.
    Computational Management Science, 2016, 13 (1) : 29 - 62
  • [26] Reliability based computational model for stochastic unit commitment of a bulk power system integrated with volatile wind power
    Jain, Tanmay
    Verma, Kusum
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2024, 244
  • [27] Hybrid algorithms for power system unit commitment
    Jenkins, Lawrence
    2007 50TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-3, 2007, : 564 - 567
  • [28] Stochastic electric power generation unit commitment in deregulated power market environment
    Gharehdaghi, F.
    Jamali, H.
    Deysi, M.
    Khalili, A.
    Research Journal of Applied Sciences, Engineering and Technology, 2012, 4 (05) : 439 - 445
  • [29] Cost of reliability analysis based on stochastic unit commitment
    Wu, Lei
    Shahidehpour, Mohammad
    Li, Tao
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (03) : 1364 - 1374
  • [30] A Novel Optimization Approach for Sub-Hourly Unit Commitment With Large Numbers of Units and Virtual Transactions
    Wu, Jianghua
    Luh, Peter B.
    Chen, Yonghong
    Bragin, Mikhail A.
    Yan, Bing
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2022, 37 (05) : 3716 - 3725