Contribution of pumped hydro storage to integration of wind power in Kenya: An optimal control approach

This paper investigates the benefit of optimally integrating wind power in Kenya with pumped hydro storage. The approach includes development of an optimal control strategy to deploy paired wind and pumped hydro storage resources, for the Lake Turkana Wind Power project. The stochastic model, which maximizes expected revenue over the planning horizon, is developed taking into the consideration the structure and running of the Kenya electricity market. The 300 MW Lake Turkana Wind Power wind farm is simulated using wind speed data from Marsabit, which is in close proximity to the Lake Turkana region. From the simulation of the wind farm, we find that the daily pattern exhibited by the wind speeds, does not match the average daily load pattern. Pumped hydro storage reduces the systems total power output shortage by 46%. This approach to operation could alleviate the significant economic burden of the take-or-pay purchase agreement that led to the removal of financial backing of the project by the World Bank. The use of pumped hydro storage in conjunction with the wind farm is also found to increase the expected daily revenue of the wind farm by over ten thousand dollars.

[1]  Luai M. Al-Hadhrami,et al.  Pumped hydro energy storage system: A technological review , 2015 .

[2]  Guojun Gan,et al.  Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability) , 2007 .

[3]  Rodica Loisel,et al.  Valuation framework for large scale electricity storage in a case with wind curtailment , 2010 .

[4]  Christopher Oludhe,et al.  Assessment and Utilization of Wind Power in Kenya – A Review , 2008 .

[5]  A.M. Gonzalez,et al.  Stochastic Joint Optimization of Wind Generation and Pumped-Storage Units in an Electricity Market , 2008, IEEE Transactions on Power Systems.

[6]  J. Apt,et al.  Can a wind farm with CAES survive in the day-ahead market? , 2012 .

[7]  Heather Cruickshank,et al.  The role for low carbon electrification technologies in poverty reduction and climate change strategies: A focus on renewable energy mini-grids with case studies in Nepal, Peru and Kenya , 2012 .

[8]  J.A.P. Lopes,et al.  On the optimization of the daily operation of a wind-hydro power plant , 2004, IEEE Transactions on Power Systems.

[9]  Cecilia M. Briceno-Garmendia,et al.  Kenya's Infrastructure: A Continental Perspective , 2010 .

[10]  Yue Yuan,et al.  Optimal operation strategy of energy storage unit in wind power integration based on stochastic programming , 2011 .

[11]  J. Kamau,et al.  6 years of wind data for Marsabit, Kenya average over 14m/s at 100m hub height; An analysis of the wind energy potential , 2010 .

[12]  Helen Hoka Osiolo,et al.  Consumers satisfaction in the energy sector in Kenya , 2012 .

[13]  Ruzhu Wang,et al.  Renewable energy in Kenya: Resource potential and status of exploitation , 2011 .

[14]  Warren B. Powell,et al.  Optimal Energy Commitments with Storage and Intermittent Supply , 2011, Oper. Res..

[15]  Jianhong Wu,et al.  Data clustering - theory, algorithms, and applications , 2007 .

[16]  Jack Casazza,et al.  UNDERSTANDING ELECTRIC POWER SYSTEMS An Overview of Technology, the Marketplace, and Government Regulation , 2010 .

[17]  Magnus Korpaas,et al.  Operation and sizing of energy storage for wind power plants in a market system , 2003 .