Stochastic versus Robust Optimization of wind-hydro power plant's operational strategy

M. S. Javaid; Numan Saeed; A. T. Al-Awami; Zorays Khalid

doi:10.1109/INMIC.2016.7840153

Stochastic versus Robust Optimization of wind-hydro power plant's operational strategy

M. S. Javaid
, Numan Saeed
, A. T. Al-Awami
, Zorays Khalid

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, wind-hydro plant's operational strategy is optimized for obtaining maximum profit. Energy is stored in a water reservoir, which is used accordingly, to maximize the operational profit. An hourly wind forecast of next 48-hours, is used to determine the usage of each component of power plant. Forecasted wind power is stochastic in nature, so two techniques, stochastic programing and Robust Optimization, (RO) are used to determine the operation strategy of wind hydro power plant. It is presented that RO does not require the definition of scenarios or distribution functions for the uncertain data. Moreover, it incorporates uncertainties efficiently without significantly increasing the problem size. Profits estimated by RO are compared with the average profits predicted by Monte Carlo simulations (MCS). Operating schedules obtained from both techniques are also analyzed for further evaluation of each technique in this domain.

Original language	English
Title of host publication	Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509043002
DOIs	https://doi.org/10.1109/INMIC.2016.7840153
State	Published - 2 Feb 2017

Publication series

Name	Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Operational strategy
renewable integration
robust optimization
stochastic programming

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Instrumentation
Hardware and Architecture
Software
Energy Engineering and Power Technology
Control and Systems Engineering
Control and Optimization

Access to Document

10.1109/INMIC.2016.7840153

Cite this

Javaid, M. S., Saeed, N., Al-Awami, A. T., & Khalid, Z. (2017). Stochastic versus Robust Optimization of wind-hydro power plant's operational strategy. In Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016 Article 7840153 (Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INMIC.2016.7840153

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abstract = "In this paper, wind-hydro plant's operational strategy is optimized for obtaining maximum profit. Energy is stored in a water reservoir, which is used accordingly, to maximize the operational profit. An hourly wind forecast of next 48-hours, is used to determine the usage of each component of power plant. Forecasted wind power is stochastic in nature, so two techniques, stochastic programing and Robust Optimization, (RO) are used to determine the operation strategy of wind hydro power plant. It is presented that RO does not require the definition of scenarios or distribution functions for the uncertain data. Moreover, it incorporates uncertainties efficiently without significantly increasing the problem size. Profits estimated by RO are compared with the average profits predicted by Monte Carlo simulations (MCS). Operating schedules obtained from both techniques are also analyzed for further evaluation of each technique in this domain.",

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Javaid, MS, Saeed, N, Al-Awami, AT & Khalid, Z 2017, Stochastic versus Robust Optimization of wind-hydro power plant's operational strategy. in Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016., 7840153, Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/INMIC.2016.7840153

Stochastic versus Robust Optimization of wind-hydro power plant's operational strategy. / Javaid, M. S.; Saeed, Numan; Al-Awami, A. T. et al.
Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7840153 (Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this paper, wind-hydro plant's operational strategy is optimized for obtaining maximum profit. Energy is stored in a water reservoir, which is used accordingly, to maximize the operational profit. An hourly wind forecast of next 48-hours, is used to determine the usage of each component of power plant. Forecasted wind power is stochastic in nature, so two techniques, stochastic programing and Robust Optimization, (RO) are used to determine the operation strategy of wind hydro power plant. It is presented that RO does not require the definition of scenarios or distribution functions for the uncertain data. Moreover, it incorporates uncertainties efficiently without significantly increasing the problem size. Profits estimated by RO are compared with the average profits predicted by Monte Carlo simulations (MCS). Operating schedules obtained from both techniques are also analyzed for further evaluation of each technique in this domain.

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Javaid MS, Saeed N, Al-Awami AT, Khalid Z. Stochastic versus Robust Optimization of wind-hydro power plant's operational strategy. In Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 7840153. (Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016). doi: 10.1109/INMIC.2016.7840153

Stochastic versus Robust Optimization of wind-hydro power plant's operational strategy

Abstract

Publication series

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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