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Impact of Strategic Behaviors of the Electricity Consumers on Power System Reliability

  • Amin Shokri Gazafroudi
  • Miadreza Shafie-khahEmail author
  • Desta Zahlay Fitiwi
  • Sérgio F. Santos
  • Juan Manuel Corchado
  • João P. S. Catalão
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 186)

Abstract

Over the past few decades, electricity markets have created competitive environments for the participation of different players. Electricity consumers (as end users in power systems) can behave strategically based on their purposes in the markets. Their behaviors induce more uncertainty into the power grid, due to their dynamic load demands. Hence, a power system operator faces more difficulties in maintaining an acceptable level of reliability and security in the system. On the other hand, the strategic behaviors of electricity consumers can be as a double-edged sword in the power grid. There is a group of consumers who are flexible and so can be interrupted at critical time periods and pursue their economic targets in the electricity markets. However, the second group is concerned with electricity demand being provided to them with the desired reliability level. Hence, the decisions of this group of electrical consumers are in conflict with their corresponding demand response programs. According to the above statement, this chapter aims at investigating the impact of strategic behavior of the electrical consumers on power system reliability. In this way, different agents of electricity markets are defined in this chapter which their behavior can impact the market-clearing problem. Energy and reserve are assumed as electricity commodities in this chapter. Thus, a two-stage, day-ahead and real-time, stochastic unit commitment problem is solved to clear energy and reserve simultaneously considering the uncertainty of wind power generations and conventional generation units which impacts the reliability of sustainable power systems.

Keywords

Simultaneous market clearing Energy flexibility Customer behavior Reliability Demand response Energy economy Stochastic programming Decision-making under uncertainty Operating reserve Wind power integrating Multi-agent systems 

Notes

Acknowledgments

Amin Shokri Gazafroudi and Juan Manuel Corchado acknowledge the support by the European Commission H2020 MSCA-RISE-2014: Marie Sklodowska-Curie project DREAM-GO Enabling Demand Response for short and real-time Efficient and Market Based Smart Grid Operation - An intelligent and real-time simulation approach ref. 641794. Amin Shokri Gazafroudi acknowledges the support by the Ministry of Education of the Junta de Castilla y León and the European Social Fund through a grant from predoctoral recruitment of research personnel associated with the research project “Arquitectura multiagente para la gestión eficaz de redes de energía a través del uso de técnicas de intelligencia artificial” of the University of Salamanca. M.Shafie-khah and J.P.S. Catalão acknowledge the support by FEDER funds through COMPETE 2020 and by Portuguese funds through FCT, under Projects SAICT-PAC/0004/2015 - POCI-01-0145-FEDER-016434, POCI-01-0145-FEDER-006961, UID/EEA/ 50014/2013, UID/CEC/50021/2013, UID/EMS/00151/2013, and 02/SAICT/2017 - POCI-01-0145-FEDER-029803.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Amin Shokri Gazafroudi
    • 1
  • Miadreza Shafie-khah
    • 2
    Email author
  • Desta Zahlay Fitiwi
    • 2
  • Sérgio F. Santos
    • 2
  • Juan Manuel Corchado
    • 1
    • 3
  • João P. S. Catalão
    • 2
    • 4
    • 5
  1. 1.BISITE Research GroupUniversity of SalamancaSalamancaSpain
  2. 2.C-MASTUniversity of Beira InteriorCovilhãPortugal
  3. 3.Osaka Institute of TechnologyAsahi-ku OhmiyaOsakaJapan
  4. 4.INESC TEC and the Faculty of Engineering of the University of PortoPortoPortugal
  5. 5.INESC-ID, Instituto Superior TécnicoUniversity of LisbonLisbonPortugal

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