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Demand-side management for large ports with multi-agent systems

Gennitsaris Stavros

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Summary

Ιin the near future the electricity consumption in ports could be increased significantly because of a multitude of operational, regulatory, and environmental factors. Ports are expected to face the challenges following the 20-20-20 agenda, which requires energy efficiency improvement, technological innovation, carbon footprint mitigation and the accomplishment of legislations that aim to reduce the environmental impact of marine industry activities. Large ports comprise a variety of flexible loads like refrigerated containers, electric vehicles and onshore electric power supplies to ships at berth. Moreover, harbor locations are suitable for power generation from renewable energy sources (RES) that could play a key role in future port smart energy systems. Technological challenges have been continuously arising in complex port power systems operation because of the growing requirements for green and efficient operation. It has become evident that above requirements could be effectively faced with the development of smart real-time power management systems. The complexity of future all-electric port energy systems could be efficiently handled by exploiting intelligent technologies such as Multi-Agent Systems. However, the research about the implementation of such systems in harbors is at the beginning, making the proposed method innovative. In this thesis a real-time demand side power management system using MAS is applied to large port power systems. The proposed method is based on the power management methodology proposed in [1]. The power demand of the port electric system is suitably adjusted to satisfy a set point defined by port operator while the total operation cost of the ships being plugged into shore power supply installations is minimized and their greenhouse gas emissions (GHG) are limited at the same time. The proposed method is applied to a realistic case study of a large port comprising a large number of flexible loads and one off-shore wind park. The efficiency of the proposed method is evaluated by detailed simulations.

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