E3S Web Conf.
Volume 209, 2020ENERGY-21 – Sustainable Development & Smart Management
|Number of page(s)||8|
|Section||Session 1. Towards Intelligent Energy Systems|
|Published online||23 November 2020|
Control of Power Prosumer Based on Swarm Intelligence Algorithms
Department of Industrial Power Supply Systems, Novosibirsk State Technical University, Novosibirsk, Russia
* Corresponding author: email@example.com
The development of renewable energy and Smart Grid leads to the emergence of prosumers or power generating consumers, which are involved in the processes of bidirectional exchange of electricity and information. The work is devoted to the problem of optimal control of a power generating consumer in Smart Grid. The distinctive research features are the solution of the optimal control problem in conditions of difficult prediction of wind power plant generation, the usage of Swarm Intelligence algorithms to build a system of control rules, and the study of the obtained models on data from two different generating consumers: one on about Russky Island, the second on Popov Island (Far East). We selected a list of priority rules as a decision-making model and applied Particle Swarm Optimization, Bees Algorithm, and Firefly Optimization to build and optimize this model. The computer modeling with the usage of two mounts dataset showed that the proposed approach could significantly increase the revenue of the generating consumers considered.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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