Next Article in Journal
Improved Data Center Energy Efficiency and Availability with Multilayer Node Event Processing
Next Article in Special Issue
Double Layer Dynamic Game Bidding Mechanism Based on Multi-Agent Technology for Virtual Power Plant and Internal Distributed Energy Resource
Previous Article in Journal
Forecasting Carbon Emissions Related to Energy Consumption in Beijing-Tianjin-Hebei Region Based on Grey Prediction Theory and Extreme Learning Machine Optimized by Support Vector Machine Algorithm
Previous Article in Special Issue
Distributed Energy Resources Scheduling and Aggregation in the Context of Demand Response Programs
Open AccessArticle

SwarmGrid: Demand-Side Management with Distributed Energy Resources Based on Multifrequency Agent Coordination

1
E.T.S. Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense 30, 28040 Madrid, Spain
2
Instituto de Energía Solar, E.T.S. Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense 30, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Energies 2018, 11(9), 2476; https://doi.org/10.3390/en11092476
Received: 3 August 2018 / Revised: 11 September 2018 / Accepted: 16 September 2018 / Published: 18 September 2018
(This article belongs to the Special Issue Distributed Energy Resources Management 2018)
This paper focuses on a multi-agent coordination for demand-side management in electrical grids with high penetration rates of distributed generation, in particular photovoltaic generation. This coordination is done by the use of swarm intelligence and coupled oscillators, proposing a novel methodology, which is implemented by the so-call SwarmGrid algorithm. SwarmGrid seeks to smooth the aggregated consumption by considering distributed and local generation by the development of a self-organized algorithm based on multifrequency agent coordination. The objective of this algorithm is to increase stability and reduce stress of the electrical grid by the aggregated consumption smoothing based on a frequency domain approach. The algorithm allows not only improvements in the electrical grid, but also increases the penetration of distributed and renewable sources. Contrary to other approaches, this objective is achieved anonymously without the need for information exchange between the users; it only takes into account the aggregated consumption of the whole grid. View Full-Text
Keywords: demand-side management; multi-agent system; distributed coordination; distributed energy resources; swarm intelligence demand-side management; multi-agent system; distributed coordination; distributed energy resources; swarm intelligence
Show Figures

Figure 1

MDPI and ACS Style

Castillo-Cagigal, M.; Matallanas, E.; Caamaño-Martín, E.; Martín, Á.G. SwarmGrid: Demand-Side Management with Distributed Energy Resources Based on Multifrequency Agent Coordination. Energies 2018, 11, 2476.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop