Kacprzak P.,IAiIS |
Palka P.,IAiIS |
Kaleta M.,IAiIS |
Smolira K.,IAiIS |
Toczylowski E.,Kierownik Zakladu Badan Operacyjnych i Systemowych w
Rynek Energii | Year: 2010
Complex market mechanisms may be analyzed using the game theory approach. In this paper we model power balancing market as a game between market participants. This approach allows us to examine some interesting market mechanism's properties from the game theory point of view. We use a few methods to analyze considered market game, like payoff matrix, game simulation and equilibrium models, used to find game equilibrium points. We use many different methods to obtain as broad knowledge about examined mechanisms as it is possible as well as to make our tests more reliable. In this paper we use a simple LMP balancing market model as an example and examine some interesting points in its solution space. Results of the analysis may be useful in designing and evaluating other power balancing market mechanisms.
Kaleta M.,IAiIS |
Krajewski P.,Exerton sp. z o.o.
Rynek Energii | Year: 2012
The latest developments in smart grid field have enabled the formulation of microgrid market idea understood as a commodities and services exchange on the market rules. The idea of microgrid market is particularly attractive due to potential benefits of mitigating the negative effects of increasing number of renewable energy sources in a distribution network. To achieve the aims of microgrid in this field, at least partial automation of trade is required. The standard approach is to use the multi-agent systems (MAS) and to delegate rights to software agents. In the paper we consider two issues: the problem of accessibility of MAS technology and the problem of adaptation of microgrids participation decision processes in a changing conditions. To solve the first issue we have proposed to provide the functionality of MAS on a microgrids market as a service-oriented architecture (SOA), which is reachable on a large scale. Such an approach supports also the management of processes related to the interactions on a microgrid market with processes orchestration and model-driven approach.