Utilization of the Area Risk Concept for Operational Reliability Evaluation of a Wind-Integrated Power System

被引:30
|
作者
Thapa, Suman [1 ]
Karki, Rajesh [1 ]
Billinton, Roy [1 ]
机构
[1] Univ Saskatchewan, Saskatoon, SK S7N 5A2, Canada
关键词
Area risk; conditional probability; unit commitment risk (UCR); well-being; wind power; UNIT COMMITMENT; GENERATION; RESERVE;
D O I
10.1109/TPWRS.2013.2264904
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
Wind power generation is significantly different from conventional thermal and hydro power generation in the sense that the wind power is governed by the atmosphere and cannot be dispatched like the conventional units in order to respond to the system requirements. The operational reliability of a conventional system depends on the failures of the committed units and the lead time of the next available unit. The reliability contribution of a wind turbine generator is mainly governed by the variability of wind speed at the wind site. A short-term wind model developed for the specific lead time should be suitably combined with the other committed units to evaluate the operational reliability of a power system with significant wind penetration. The area risk concept, previously developed to evaluate the reliability contribution of rapid start units and hot reserve units that are committed later in the lead time, is extended in this paper to incorporate wind power in evaluating the system reliability. The developed method is applied to the IEEE-RTS to evaluate the operational system well-being indices.
引用
收藏
页码:4771 / 4779
页数:9
相关论文
共 50 条
  • [41] Incorporating wind power in generating system reliability evaluation
    Billinton R.
    Karki R.
    [J]. International Journal of Systems Assurance Engineering and Management, 2010, 1 (2): : 120 - 128
  • [42] Reliability/cost evaluation of a wind power delivery system
    Abul'Wafa, Ahmed R.
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2011, 81 (04) : 873 - 879
  • [43] An efficient analytical approach for operational reliability evaluation of integrated electricity-heat energy systems with variable wind power
    He, Haojie
    Shao, Changzheng
    Hu, Bo
    Xie, Kaigui
    Du, Xiong
    Xu, Longxun
    [J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2023, 17 (14) : 3198 - 3210
  • [44] A probabilistic approach for optimal operation of wind-integrated power systems including UPFC
    Rezaeian-Marjani, Saeed
    Jalalat, Sajjad Miralizadeh
    Tousi, Behroz
    Galvani, Sadjad
    Talavat, Vahid
    [J]. IET RENEWABLE POWER GENERATION, 2023, 17 (03) : 706 - 724
  • [45] Optimal allocation of static synchronous series compensator (SSSC) in wind-integrated power system considering predictability
    Galvani, Sadjad
    Mohammadi-Ivatloo, Behnam
    Nazari-Heris, Morteza
    Rezaeian-Marjani, Saeed
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2021, 191
  • [46] Multi-objective Optimal Dispatch of Wind-Integrated Power System Based on Distributed Energy Storage
    Wang, Xinhao
    Shi, Xiaohan
    Zhang, Hengxu
    Wang, Fei
    [J]. IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 2788 - 2792
  • [47] Profit Extension of a Wind-Integrated Competitive Power System by Vehicle-to-Grid Integration and UPFC Placement
    Dawn, Subhojit
    Rao, Gummadi Srinivasa
    Vital, M. L. N.
    Rao, K. Dhananjay
    Alsaif, Faisal
    Alsharif, Mohammed H.
    [J]. ENERGIES, 2023, 16 (18)
  • [48] Adaptive Control of Inter-Area Oscillations in Wind-Integrated Power Systems using Distributed Parameter Control Methods
    Magar, Kaman Thapa
    Balas, Mark J.
    Gayme, Dennice F.
    [J]. 2014 AMERICAN CONTROL CONFERENCE (ACC), 2014, : 903 - 907
  • [49] A Review of Load Frequency Control Schemes Deployed for Wind-Integrated Power Systems
    Asghar, Rafiq
    Fulginei, Francesco Riganti
    Wadood, Hamid
    Saeed, Sarmad
    [J]. SUSTAINABILITY, 2023, 15 (10)
  • [50] Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load
    Ak, Ronay
    Li, Yan-Fu
    Vitelli, Valeria
    Zio, Enrico
    [J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2018, 95 : 213 - 226