Distributed generation resources placement in power systems considering electricity markets

L. M. Alba *, M. A. Fernández

Department of Electrical Engineering at the Polytechnic School of Linares, University of Jaen, Jaen, Spain


In this paper, improvement and social welfare of present partners in energy and reserve markets in an annual time interval are presented using a new analytical method based on iteration and simultaneous optimizing net profit value in investment circulation for wind turbine developers at the presence of pumped-hydroelectricity energy storages (PHESS) in power systems. Obtained results of the proposed method are tested on a standard 14-bus IEEE system. And by using analysis and evaluation of the presented method it is determined that due to proving high flexibility in operation planning of system under the conditions of the pool-based market during the annual horizon, maximizing investment profit of these resources and other partners under the market conditions is achieved.


Wind turbine- pumped-storage unit, Electricity and reserve markets, Pool-based market

Digital Object Identifier (DOI)


Article history

Received 5 October 2018, Received in revised form 2 January 2019, Accepted 4 January 2019

Full text

DownloadAvailable in PDF
Portable Document Format

How to cite

Alba LM and Fernández MA (2019). Distributed generation resources placement in power systems considering electricity markets. Annals of Electrical and Electronic Engineering, 2(1): 6-11

References (25)

  1. Albadi MH and El-Saadany EF (2010). Overview of wind power intermittency impacts on power systems. Electric Power Systems Research, 80(6): 627-632. https://doi.org/10.1016/j.epsr.2009.10.035   [Google Scholar]  
  2. Alishahi E, Moghaddam MP, Sheikh-El-Eslami MK (2011). An investigation on the impacts of regulatory interventions on wind power expansion in generation planning. Energy Policy, 39(8): 4614-4623. https://doi.org/10.1016/j.enpol.2011.05.002   [Google Scholar]  
  3. Alishahi E, Moghaddam MP, Sheikh-El-Eslami MK (2012). A system dynamics approach for investigating impacts of incentive mechanisms on wind power investment. Renewable energy, 37(1): 310-317. https://doi.org/10.1016/j.renene.2011.06.026   [Google Scholar]  
  4. Atwa YM and El-Saadany EF (2011). Probabilistic approach for optimal allocation of wind-based distributed generation in distribution systems. IET Renewable Power Generation, 5(1): 79-88. https://doi.org/10.1049/iet-rpg.2009.0011   [Google Scholar]  
  5. Caralis G, Papantonis D, and Zervos A (2012). The role of pumped storage systems towards the large scale wind integration in the Greek power supply system. Renewable and Sustainable Energy Reviews, 16(5): 2558-2565. https://doi.org/10.1016/j.rser.2012.01.068   [Google Scholar]  
  6. Connolly D, Lund H, Finn P, Mathiesen BV, and Leahy M (2011). Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage. Energy Policy, 39(7): 4189-4196. https://doi.org/10.1016/j.enpol.2011.04.032   [Google Scholar]  
  7. Hedegaard K and Meibom P (2012). Wind power impacts and electricity storage – A time scale perspective. Renewable Energy, 37(1): 318-324. https://doi.org/10.1016/j.renene.2011.06.034   [Google Scholar]  
  8. Holttinen H, Meibom P, Orths A, Lange B, O’Malley M, Tande JO, Estanqueiro A, Gomez E, Söder L, Strbac G, Smith JC, and van Hulle F (2011). Impacts of large amounts of wind power on design and operation of power systems, results of IEA collaboration. Wind Energy, 14(2): 179-192. https://doi.org/10.1002/we.410   [Google Scholar]  
  9. Pierluigi S and Mokryani G (2013). Assessing wind turbines placement in a distribution market environment by using particle swarm optimization. IEEE Transaction on Power System, 28(4): 3852-3864. https://doi.org/10.1109/TPWRS.2013.2273567   [Google Scholar]  
  10. Zhang N, Kang C, Kirschen DS, Xi W, Huang J, and Zhang Q (2011). Thermal generation operating cost variations with wind power integration. In the IEEE Power and Energy Society General Meeting, Detroit, MI, USA, USA: 1-8. https://doi.org/10.1109/PES.2011.6039605   [Google Scholar]