Smart Home in Smart Microgrid: A Cost-Effective Energy Ecosystem With Intelligent Hierarchical Agents

Smart grid is advancing power grids significantly, with higher power generation efficiency, lower energy consumption cost, and better user experience. Microgrid utilizes distributed renewable energy generation to reduce the burden on utility grids. This paper proposes an energy ecosystem; a cost-eff...

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Bibliographic Details
Published in:IEEE transactions on smart grid 2015-01, Vol.6 (1), p.3-13
Main Authors: Jiang, Bingnan, Fei, Yunsi
Format: Article
Language:English
Subjects:
Cogeneration
Communities
Demand response (DR)
distributed energy resources (DER)
Electric utilities
Energy consumption
Fuels
microgrid
Microgrids
Optimization
particle swarm optimization (PSO)
Q-learning
Resistance heating
smart grid
Wind power generation
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Summary:Smart grid is advancing power grids significantly, with higher power generation efficiency, lower energy consumption cost, and better user experience. Microgrid utilizes distributed renewable energy generation to reduce the burden on utility grids. This paper proposes an energy ecosystem; a cost-effective smart microgrid based on intelligent hierarchical agents with dynamic demand response (DR) and distributed energy resource (DER) management. With a dynamic update mechanism, DR automatically adapts to users' preference and varying external information. The DER management coordinates operations of micro combined heat and power systems (\boldsymbol {\mu } CHPs), and vanadium redox battery (VRB) according to DR decisions. A two-level shared cost-led \boldsymbol {\mu } CHPs management strategy is proposed to reduce energy consumption cost further. VRB discharging is managed to be environment-adaptive. Simulations and numerical results show the proposed system is very effective in reducing the energy consumption cost while satisfying user's preference.
ISSN:1949-3053
1949-3061
DOI:10.1109/TSG.2014.2347043