Adequacy studies of power systems with barrage‐type tidal power plants

Tidal as renewable energy is increasingly utilised for power generation in many countries. Integration of tidal plants into the power system requires considering the intermittent nature of the generated power caused by variable tide levels. Thus, the reliability studies of power systems including high tidal generation affected by the uncertain nature resulting from the variable water levels are investigated. The reliability model of a tidal power plant on a barrage is proposed. In the proposed model, the failure rates of the composed components (especially the hydro pump and gate) and the effect of tidal height variation on the components failure rate are considered. Also, the reliability model with numerous states resulting from the variability of the generated power through the fuzzy C-means clustering technique and Xie-Beni index is reduced to a multi-state reliability model. The resulting reliability model is utilised for the generation adequacy studies of a power system containing large-scale tidal power plants. Moreover, different reliability indices are calculated for future generation expansion planning. The proposed technique is applied to the two-test systems, and sensitivity analysis is performed. Besides, the effects of the hydro pump, maintenance, ageing of the components and peak load are investigated.

[1]  Anthony Papavasiliou,et al.  Self-commitment of combined cycle units under electricity price uncertainty , 2015, 2015 IEEE Power & Energy Society General Meeting.

[2]  Juan YU,et al.  Reliability evaluation of tidal and wind power generation system with battery energy storage , 2016 .

[3]  Charles Audet,et al.  Replacement Scheduling of a Fleet of Hydroelectric Generators: A Case Study , 2014 .

[4]  Luiz Antonio de Souza Ribeiro,et al.  Analysis of a Tidal Power Plant in the Estuary of Bacanga in Brazil Taking Into Account the Current Conditions and Constraints , 2017, IEEE Transactions on Sustainable Energy.

[5]  Wenlong Li,et al.  Challenges and opportunities of electric machines for renewable energy , 2012 .

[6]  Hamed Nafisi,et al.  Effect of Distributed Generations on Aging Failure Probability of Distribution Transformers , 2012 .

[7]  Luiz A. de S. Ribeiro,et al.  Optimization of electricity generation of a tidal power plant with reservoir constraints , 2015 .

[8]  Jovica V. Milanovic,et al.  The Influence of Modeling Transformer Age Related Failures on System Reliability , 2015, IEEE Transactions on Power Systems.

[9]  S. Estefen,et al.  Alternative concept for tidal power plant with reservoir restrictions , 2009 .

[10]  James C. Bezdek,et al.  Efficient Implementation of the Fuzzy c-Means Clustering Algorithms , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  R. Billinton,et al.  The IEEE Reliability Test System???Extensions to and Evaluation of the Generating System , 1986, IEEE Power Engineering Review.

[12]  H. Sarhan,et al.  THERMAL PERFORMANCE ANALYSIS OF INDUCTION MOTOR , 2012 .

[13]  Farrokh Aminifar,et al.  Reliability Modeling of Run-of-the-River Power Plants in Power System Adequacy Studies , 2014, IEEE Transactions on Sustainable Energy.

[14]  Xu Yang,et al.  Integrated Planning for Transition to Low-Carbon Distribution System With Renewable Energy Generation and Demand Response , 2014, IEEE Transactions on Power Systems.

[15]  Mahmud Fotuhi-Firuzabad,et al.  Toward a Comprehensive Model of Large-Scale DFIG-Based Wind Farms in Adequacy Assessment of Power Systems , 2014, IEEE Transactions on Sustainable Energy.

[16]  R. Billinton,et al.  A Reliability Test System for Educational Purposes-Basic Data , 1989, IEEE Power Engineering Review.

[17]  M. Krinidis,et al.  Generalised fuzzy local information C-means clustering algorithm , 2012 .

[18]  Ahmed Elsebaay,et al.  Analyzing the Effect of Ambient Temperature and Loads Power Factor on Electric Generator Power Rating , 2017 .

[19]  George A. Aggidis,et al.  Operational optimisation of a tidal barrage across the Mersey estuary using 0-D modelling , 2013 .

[20]  G. C. Contaxis,et al.  Decoupled Optimal Load Flow Using Linear or Quadratic Programming , 1986, IEEE Transactions on Power Systems.

[21]  C. Sumereder,et al.  Statistical lifetime of hydro generators and failure analysis , 2008, IEEE Transactions on Dielectrics and Electrical Insulation.

[22]  Dimitri V. Val,et al.  Reliability analysis of rotor blades of tidal stream turbines , 2014, Reliab. Eng. Syst. Saf..

[23]  Simone A. Ludwig,et al.  Particle Swarm Optimization Based Fuzzy Clustering Approach to Identify Optimal Number of Clusters , 2014, J. Artif. Intell. Soft Comput. Res..

[24]  R. Tavakkoli-Moghaddam,et al.  OPTIMIZATION OF FUZZY CLUSTERING CRITERIA BY A HYBRID PSO AND FUZZY C-MEANS CLUSTERING ALGORITHM , 2008 .

[25]  Wenyuan Li,et al.  Reliability Evaluation of a Tidal Power Generation System Considering Tidal Current Speeds , 2016, IEEE Transactions on Power Systems.

[26]  David Kilama Okot,et al.  Review of small hydropower technology , 2013 .

[27]  A. Etemadi,et al.  Electricity Generation by the Tidal Barrages , 2011 .

[28]  George A. Aggidis,et al.  Tidal range turbines and generation on the Solway Firth , 2012 .

[29]  Vincent Choqueuse,et al.  Classification of three-phase power disturbances based on model order selection in smart grid applications , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.