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Nahorski Z.,Instytucie Badan Systemowych PAN | Radziszewska W.,Instytucie Badan Systemowych PAN | Parol M.,Instytucie Elektroenergetyki PW | Palka P.,IAiIS PW
Rynek Energii | Year: 2012

The classic organization of electric power networks powered primarily by large-scale generation units does not satisfy contemporary requirements. Distributed supply systems with small energy sources are used more and more frequently. Power generation by many of these sources is variable, depending on meteorological and hydrological conditions. A new organizational solution consists primarily of separate sub-networks, called prosummer networks, within which the energy generation is in a some way "balanced" with power demand. Due to the dynamic generation and variable energy demand, power balancing in these sub-networks requires a more sophisticated control system than traditional regulatory automation systems used currently. A promising approach towards the problem solution is application of multi-agent systems. The paper is devoted to the presentation of issues related to energy management system in the smallest sub-networks of this type, called microgrids.

Nahorski Z.,Instytucie Badan Systemowych PAN | Palka P.,Adiunkt W IAiIS PW | Stanczak J.,Instytucie Badan Systemowych PAN | Radziszewska W.,Instytucie Badan Systemowych PAN
Rynek Energii | Year: 2011

The paper presents an idea of the computer multi-agent system for managing the unbalanced energy in a distribution low voltage networks with distributed generations including renewable sources. The main goal of the system application is control and minimization of the differences between the current energy demand and the long-time plan. These differences are caused by unpredictable level of electric power generation by uncontrolled sources (like wind turbine) or randomness of power utilization. The planned system will tend to balance these differences on-line in short time intervals (about one minute) to follow-up the varying level of power generation by local power sources. The system uses autonomous software agents. Every agent has its own goal and communicates with others in order to reduce (minimize) the unplanned shortages or surpluses of energy.

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