Volume 18, Issue 1 (March 2022)                   IJEEE 2022, 18(1): 2014-2014 | Back to browse issues page


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Mozdawar S A, Akbari Foroud A, Amirahmadi M. Multiple Electricity Markets Competitiveness Undergoing Symmetric and Asymmetric Renewables Development Policies. IJEEE. 2022; 18 (1) :2014-2014
URL: http://ijeee.iust.ac.ir/article-1-2014-en.html
Abstract:   (779 Views)
This paper scrutinizes the impact of different renewable energy sources (RES) development policies on competitiveness within multiple electricity markets (MEMs). Also, the variation in market power indices by increasing the integration of the markets undergoing symmetric and asymmetric RES development policies is investigated. To do so, several stochastic mixed-integer non-linear programming objective functions are used in the agent-based simulation framework to model the power plants’ behavior and markets. The case study shows in the low RES penetrated markets, one can say the more integration level of the markets, the lower potential of exercising market power. The reciprocal judgment is true for a high RES penetrated market. Also, large asymmetry in RES development between markets within MEMs may bring about market power problem for a high RES penetrated market. Unlike the asymmetric RES development policies, adopting homogeneous policies in RES development within MEMs reduces the market power potential in all markets and this potential decreases with the increase in the integration of the markets.
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  • The impact of symmetric and asymmetric RES development policies on the potential of exercising market power within MEMs is investigated. Something that to the best of our knowledge has not been investigated in previous studies.
  • The effect of increasing the integration of the markets on market competitiveness in the presence of different policies on RES penetration within MEMs is analyzed.
  • A stochastic multi-objective decomposition method is used in the agent-based simulation framework to analyze the power plants' behavior and markets. The use of a multi-master problem in the agent-based simulation has not yet been performed in the power system.

Type of Study: Research Paper | Subject: Day-Ahead and Intra-Day Scheduling
Received: 2020/10/20 | Revised: 2021/04/27 | Accepted: 2021/05/28

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Creative Commons License © 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.