Network reliability framework integrating demand response and flexible OHL ratings

被引:2
作者
Abogaleela, Mohamed [1 ,2 ]
Kopsidas, Konstantinos [1 ]
机构
[1] Univ Manchester, Sch Elect & Elect Engn, Oxford Rd, Oxford M13 9PL, England
[2] Cairo Univ, Elect Power Engn & Machines Dept, Giza, Egypt
基金
英国工程与自然科学研究理事会;
关键词
power overhead lines; power distribution reliability; power transmission reliability; power system security; distribution networks; demand side management; power system reliability; probability; transmission networks; load flow; risk management; network reliability framework; flexible OHL ratings; flexible power networks; emerging challenge; network operators; emergency loadings; probabilistic thermal ratings; overhead lines; vital flexible options; ageing risks; OHLs operation; available demand response; emergency conditions; network ageing risk; network expected energy; individual line; trade-off between ageing; expected equivalent Line ageing; OHL ageing; network busses; critical OHLs; TRANSMISSION; DESIGN;
D O I
10.1049/iet-gtd.2019.0211
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
The need for flexible power networks has become an emerging challenge for network operators. The utilisation of emergency loadings and probabilistic thermal ratings for overhead lines (OHLs) are vital flexible options to the network operators. So far, the impact of the ageing risks associated with such OHLs operation on reliability and the operators' managing actions to mitigate this impact, have not been thoroughly investigated. This study presents a novel methodology for optimising the available demand response in the network at emergency conditions for minimising the network ageing risks and network expected energy not supplied considering the criticality of an individual line's ageing. This methodology facilitates the analysis of the trade-off between ageing and reliability. An index, defined as expected equivalent Line ageing, is also formed to quantify the network ageing; this associates the OHL ageing directly with the available demand response at the network busses. A case study on the IEEE RTS-96 indicated a reduction on the network expected energy not supplied and expected interruption costs by almost 42 and 34%, respectively, while reducing the overall network ageing risk by 58%, enabling operators to extend the end-of-life of critical OHLs.
引用
收藏
页码:4809 / 4820
页数:12
相关论文
共 50 条
  • [11] Demand response-based enhanced LRIC pricing framework
    Sharma, Amita
    Bhakar, Rohit
    Tiwari, Har Pal
    IET RENEWABLE POWER GENERATION, 2017, 11 (13) : 1723 - 1730
  • [12] Flexible transmission expansion planning associated with large-scale wind farms integration considering demand response
    Li, Chengxin
    Dong, ZhaoYang
    Chen, Guo
    Luo, Fengji
    Liu, Junyong
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2015, 9 (15) : 2276 - 2283
  • [13] An Intelligent Energy Management Framework to incorporate Demand Response and Storage in Microgrids
    Nunna, H. S. V. S. Kumar
    Doolla, Suryanarayana
    2012 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2012, : 1063 - 1068
  • [14] Urban public transit network optimization with flexible demand
    Klier, Michael J.
    Haase, Knut
    OR SPECTRUM, 2015, 37 (01) : 195 - 215
  • [15] On the network economic, technical and reliability characteristics improvement through demand-response implementation considering consumers' behaviour
    Dadkhah, Akbar
    Vahidi, Behrooz
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2018, 12 (02) : 431 - 440
  • [16] Composite Power System Reliability Evaluation Incorporating Network Topology Optimization and Demand Side Management
    Li, Yanlin
    Xie, Kaigui
    Wang, Lingfeng
    Xiang, Yingmeng
    Zhong, Jun
    2018 IEEE INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS), 2018,
  • [17] Short-Term Reliability Assessment of Generating Systems Considering Demand Response Reliability
    Qi, Xianjun
    Ji, Zongshuo
    Wu, Hongbin
    Zhang, Jingjing
    Wang, Lei
    IEEE ACCESS, 2020, 8 (74371-74384) : 74371 - 74384
  • [18] LVDC network integrated functionalities for demand response
    Lana, A.
    Kaipia, T.
    Pinomaa, A.
    Nuutinen, P.
    Narayanan, A.
    Partanen, J.
    2017 IEEE SECOND INTERNATIONAL CONFERENCE ON DC MICROGRIDS (ICDCM), 2017, : 262 - 269
  • [19] Reliability Evaluation of Demand Response and TVTR considering the Cost of Interruptions
    Kapetanaki, Alexandra
    Kopsidas, Konstantinos
    2014 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT EUROPE), 2014,
  • [20] Evaluation of reliability in risk-constrained scheduling of autonomous microgrids with demand response and renewable resources
    Vahedipour-Dahraie, Mostafa
    Anvari-Moghaddam, Amjad
    Guerrero, Josep M.
    IET RENEWABLE POWER GENERATION, 2018, 12 (06) : 657 - 667