Electricity Market Dynamics Research Articles

Energy Market of the European Union: Common or Segmented?

The European energy market operates on the premise of open and competitive markets among its 27 member states. But the gas and electricity market dynamics and levels of competitiveness vary enormously across the EU 27. Among the issues are unequal implementation of electricity and gas directives, a lack of independent energy regulators, the absence of proper and full unbundling, and discriminatory third-party access to the infrastructure.

Using the decentralized and liberalized electricity market microworld (LEMM) as an educational tool

Decentralized and liberalized electricity market involves a great deal of interdisciplinary concepts, including economic, commercial, environmental and technological issues. Consequently, the system is complicated. Accordingly, nowadays introductory courses focusing on the electricity market dynamics have been added to the curriculum at many universities. However, as the electricity market dynamics are complicated, it is not straightforward for students to understand. A teaching tool to assist students to better understand strategic behaviors in the market is thus in high demand. Due to these reasons, Liberalized Electricity Market Microworld (LEMM), incorporating a system dynamics based simulation model, is developed. The LEMM’s contribution to the students learning and understanding of the decentralized and liberalized electricity market dynamics have been explored by organizing game sessions with the LEMM for totally 49 students who participated in “Energy Policy and Planning” course in Bogazici University. The findings obtained from the exploratory study reveal that the students improved their understanding of the liberalized and decentralized electricity market through the game session with the LEMM. In this paper, the general characteristics of the LEMM and the underlying model are presented, the microworlds’, particularly the LEMM’s potential contribution to learning and teaching is discussed.

A decision support tool for the analysis of pricing, investment and regulatory processes in a decentralized electricity market

After the liberalization of the electricity generation industry, capacity expansion decisions are made by multiple self-oriented power companies. Unlike the centralized environment, decision-making of market participants is now guided by price signal feedbacks and by an imperfect foresight of the future market conditions (and competitor actions) that they will face. In such an environment, decision makers need to better understand long-term dynamics of the supply and demand sides of the power market. In this study, a system dynamics model is developed, to better understand and analyze the decentralized and competitive electricity market dynamics in the long run. The developed simulation model oversees a 20-year planning horizon; it includes a demand module, a capacity expansion module, a power generation module, an accounting and finance module, various competitors, a regulatory body and a bidding mechanism. Many features, singularities and tools of decentralized markets, such as; capacity withholding, enforced divestment, long-term contracts, price-elastic demands, incentives/disincentives, are also incorporated into the model. Public regulators and power companies are potential users of the model, for learning and decision support in policy design and strategic planning. Results of scenario analysis are presented to illustrate potential use of the model.

Electricity market dynamics: Oligopolistic competition

Presently, electricity markets are characterized by a small number of suppliers with distributed resources. These market suppliers can easily be identified because their geographic location is known. Essentially, two or three of them compete for leading the market whereas the rest of them follow. Hence, it is necessary to study the market structure as ologopolistic competition rather than perfect competition. This paper studies market producer decisions in a dynamic sequential framework by using discrete event system simulation (DESS) also known as discrete control theory. Two-player ologopolistic market structure is presented in this paper.