A self-governed online energy management and trading for smart micro/nano-grids

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Latifi, M., Khalili, A., Rastegarnia, A., Bazzi, W.M. and Sanei, S. ORCID: 0000-0002-3437-2801, 2019. A self-governed online energy management and trading for smart micro/nano-grids. IEEE Transactions on Industrial Electronics, 67 (9), pp. 7484-7498. ISSN 0278-0046

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Official URL: https://doi.org/10.1109/TIE.2019.2945280

Abstract

Joint energy consumption and trading management is still a major challenge in smart (micro-) grids. The main goal of solving such problems is to flatten the aggregate power consumption-generation curve and increase the local direct power trading among the participants as much as possible. Here, an inclusive formulation for energy management and trading of a Micro/Nano-grid (M/NG) is proposed. Subsequently, a holistic solution to jointly optimizing the internal energy consumption management and external local energy trading for a smart grid including several M/NGs is provided. As the problem is computationally intractable, the proposed approach involves three hierarchical stages. Firstly, a game-theoretic online stochastic energy management model is provided with a reinforcement learning solution by which the M/NGs can schedule their power consumptions. Secondly, an effective incentive-compatible double-auction is formulated by which the M/NGs can directly trade with each other. Thirdly, the central controller develops an optimal power allocation program to reduce the power transmission loss and the destructive effects of local energy trading. The simulation results validate the efficiency of the proposed framework.

Item Type:

Journal article

Publication Title:

IEEE Transactions on Industrial Electronics

Creators:

Latifi, M., Khalili, A., Rastegarnia, A., Bazzi, W.M. and Sanei, S.

Publisher:

Institute of Electrical and Electronics Engineers

Date:

8 October 2019

Volume:

Number: