Title

Optimal scheduling in a microgrid with a tidal generation

Document Type

Journal Article

Publication Title

Energy

ISSN

03605442

Publisher

Elsevier Ltd

School

School of Engineering

RAS ID

28951

Comments

Originally published as: Faridnia, N., Habibi, D., Lachowicz, S., & Kavousifard, A. (2019). Optimal scheduling in a microgrid with a tidal generation. Energy, 171, 435-443. Original article available here

Abstract

Tidal energy is one of the most abundant renewable energy sources. Due to its intermittent nature, the integration of tidal energy within a Microgrid (MG) requires appropriate energy management strategies. Some important considerations are tidal energy generation prediction, energy storage requirements, load profile and demand within the Microgrid, and energy pricing structures. This paper considers an MG scenario that includes a small scaletidal farm near Darwin in north of Australia. A tidal power prediction model is introduced using tidal current speed data. Then, for a fixed-size energy storage system (ESS), an optimal scheduling strategy is devised using Particle Swarm Optimization (PSO) to achieve minimum operating costs in the MG. The work presented in this paper provides a framework for the planning of MGs that include tidal generation in their energy mix.

DOI

10.1016/j.energy.2018.12.079

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