scholarly journals Impacts of regional energy markets on decentralised energy supply

2018 ◽  
Vol 2 (2) ◽  
pp. 41
Author(s):  
Jens Maiwald

Aim: This paper aims to describe an approach to develop a simulation model for investigating regional energy markets. Therefore the so called Cellular Approach is combined with the approach of Agent-Based Modelling.Design / Research methods: The model is built as a bottom-up approach for integral load management. Thus, supply factors such as limitations in generation are integrated directly and display flexibility. Thereby each market participant has its own economic interest. By the use of specific behaviour patterns and learning effects each agent in the model can act individually. This enables the market model to simulate how actors behave in changing situations. Conclusions / findings: The model shown in this paper provides an alternative to considerations of energy supply systems via equation-based optimization models. The combination of these two approaches enhances to observe two central aspects of the German energy turnaround, decentralisation and the consumers changing role at the energy market. Originality / value of the article: The Cellular Approach offers potential benefits for integrating renewable energy sources in regional power supply. Often discussed on a technical level, this paper focuses on the economical side of this topic. Moreover, differing to other research activities usually using optimization techniques, an Agent-Based Model is formulated to simulate a regional energy market. In the combination of a supply system primarily based on renewable energy sources and enhanced with different types of energy storage it is possible to simulate a supply system of the future.

2018 ◽  
pp. 8-13
Author(s):  
Boris M. ANTONOV ◽  
◽  
Nikolai N. BARANOV ◽  
Konstantin V. KRYUKOV ◽  
Yuri K. ROZANOV ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3860
Author(s):  
Priyanka Shinde ◽  
Ioannis Boukas ◽  
David Radu ◽  
Miguel Manuel de Manuel de Villena ◽  
Mikael Amelin

In recent years, the vast penetration of renewable energy sources has introduced a large degree of uncertainty into the power system, thus leading to increased trading activity in the continuous intra-day electricity market. In this paper, we propose an agent-based modeling framework to analyze the behavior and the interactions between renewable energy sources, consumers and thermal power plants in the European Continuous Intra-day (CID) market. Additionally, we propose a novel adaptive trading strategy that can be used by the agents that participate in CID market. The agents learn how to adapt their behavior according to the arrival of new information and how to react to changing market conditions by updating their willingness to trade. A comparative analysis was performed to study the behavior of agents when they adopt the proposed strategy as opposed to other benchmark strategies. The effects of unexpected outages and information asymmetry on the market evolution and the market liquidity were also investigated.


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