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Precise determination of load profiles is a key process in optimal control of power distribution systems. The emerging need for electricity, the penetration of distributed local generation and the rising power quality requirements imposes more advanced algorithms to be used. In this paper locality sensitive hashing is presented, which uses feature sets extracted from load data by autoencoders.
In this paper a case study of a multi-agent system architecture is presented focusing on load imbalance reduction in distribution and end-use consumption parts of the power network. Through a case study is shown the effectiveness of using the proposed multi-agent system architecture. This work also reinforces the confidence in multi-agent systems as a promising approach to address the needs of contemporary...
Contemporary EMS is moving towards distributed generation and automated load balancing solutions. In this paper a simulation of a multi-agent system is presented focusing on load imbalance reduction using load shifting mechanisms of smart appliances and distributed generation. Simulations are performed on a single residential unit.
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