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Joint optimization of generation and storage in the presence of wind

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journal contribution
posted on 2016-06-14, 15:30 authored by Fei Liu, Monica Giulietti, Bo Chen
We study an independent grid where the penetration of wind energy is high and exploit the joint planning of energy storage and a renewable energy source, as it can potentially result in a more economical and efficient energy system. More specifically, we consider an energy system that consists of a gas-fired plant, and a small wind farm with a capacity for energy storage. We assume that the gas-fired plant has a maximum generation capacity that is no more than the electricity demand. We first propose an optimization model with known wind speed and electricity demand. Then we gradually extend this deterministic model to take into account the stochastic nature of the renewable energy source and electricity demand. Furthermore, we consider the possibility of connecting our system to the National Grid, which we import from or export to when our system has an energy shortage or surplus in meeting the demand. Our results provide helpful insights in planning the joint deployment of generation capacity and energy storage, and show that the system operates more efficiently and economically when it is connected to the National Grid.

Funding

Monica Giulietti acknowledges financial support from EPRSC project No. EP/K002228/1 (IMAGES).

History

School

  • Business and Economics

Department

  • Business

Published in

IET Renewable Power Generation

Citation

LIU, F., GIULIETTI, M. and CHEN, B., 2016. Joint optimization of generation and storage in the presence of wind. IET Renewable Power Generation, 10 (10), pp. 1477-1487.

Publisher

© Institution of Engineering and Technology

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016

Notes

This paper is a postprint of a paper submitted to and accepted for publication in IET Renewable Power Generation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library.

ISSN

1752-1416

eISSN

1752-1424

Language

  • en

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