Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization

Khalid Khan; Abdul Rauf; Muhammad Khalid

doi:10.1109/ICCAD57653.2023.10152359

Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization

Khalid Khan, Abdul Rauf, Muhammad Khalid

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

3 Scopus citations

Abstract

Integration of renewables into the power grid imposes several challenges owing to their intermittence. In this regard, the optimal operational planning becomes a tedious as well as highly uncertain. This projects a negative impact on the market potential and integrative feasibility of renewables energy sources. In this paper, a stochastic robust optimization (SRO) is formulated to develop an intermediate optimization framework between the stochastic and robust optimization. The problem description includes unit commitment, economic dispatch, conventional generation-replacement with solar PV-Battery, and optimal management of battery. The proposed framework is tested and validated on an IEEE 14 bus system. The results obtained proves the suitability and efficacy of the SRO by obtaining a moderate optimal operation of the system between a stochastic and robust optimization framework.

Original language	English
Title of host publication	2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350347074
DOIs	https://doi.org/10.1109/ICCAD57653.2023.10152359
State	Published - 2023
Event	2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 - Rome, Italy Duration: 10 May 2023 → 12 May 2023

Publication series

Name	2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

Conference

Conference	2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023
Country/Territory	Italy
City	Rome
Period	10/05/23 → 12/05/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Battery
Solar PV
Unit commitment
energy storage management
scheduling
stochastic robust optimization

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Vision and Pattern Recognition
Control and Systems Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

UN SDGs

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

Access to Document

10.1109/ICCAD57653.2023.10152359

Cite this

Khan, K., Rauf, A., & Khalid, M. (2023). Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization. In 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023 (2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCAD57653.2023.10152359

Khan, Khalid ; Rauf, Abdul ; Khalid, Muhammad. / Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization. 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023).

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abstract = "Integration of renewables into the power grid imposes several challenges owing to their intermittence. In this regard, the optimal operational planning becomes a tedious as well as highly uncertain. This projects a negative impact on the market potential and integrative feasibility of renewables energy sources. In this paper, a stochastic robust optimization (SRO) is formulated to develop an intermediate optimization framework between the stochastic and robust optimization. The problem description includes unit commitment, economic dispatch, conventional generation-replacement with solar PV-Battery, and optimal management of battery. The proposed framework is tested and validated on an IEEE 14 bus system. The results obtained proves the suitability and efficacy of the SRO by obtaining a moderate optimal operation of the system between a stochastic and robust optimization framework.",

keywords = "Battery, Solar PV, Unit commitment, energy storage management, scheduling, stochastic robust optimization",

author = "Khalid Khan and Abdul Rauf and Muhammad Khalid",

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Khan, K, Rauf, A & Khalid, M 2023, Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization. in 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023. 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023, Institute of Electrical and Electronics Engineers Inc., 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023, Rome, Italy, 10/05/23. https://doi.org/10.1109/ICCAD57653.2023.10152359

Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization. / Khan, Khalid; Rauf, Abdul; Khalid, Muhammad.
2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023).

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

TY - GEN

T1 - Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization

AU - Khan, Khalid

AU - Rauf, Abdul

AU - Khalid, Muhammad

PY - 2023

Y1 - 2023

N2 - Integration of renewables into the power grid imposes several challenges owing to their intermittence. In this regard, the optimal operational planning becomes a tedious as well as highly uncertain. This projects a negative impact on the market potential and integrative feasibility of renewables energy sources. In this paper, a stochastic robust optimization (SRO) is formulated to develop an intermediate optimization framework between the stochastic and robust optimization. The problem description includes unit commitment, economic dispatch, conventional generation-replacement with solar PV-Battery, and optimal management of battery. The proposed framework is tested and validated on an IEEE 14 bus system. The results obtained proves the suitability and efficacy of the SRO by obtaining a moderate optimal operation of the system between a stochastic and robust optimization framework.

AB - Integration of renewables into the power grid imposes several challenges owing to their intermittence. In this regard, the optimal operational planning becomes a tedious as well as highly uncertain. This projects a negative impact on the market potential and integrative feasibility of renewables energy sources. In this paper, a stochastic robust optimization (SRO) is formulated to develop an intermediate optimization framework between the stochastic and robust optimization. The problem description includes unit commitment, economic dispatch, conventional generation-replacement with solar PV-Battery, and optimal management of battery. The proposed framework is tested and validated on an IEEE 14 bus system. The results obtained proves the suitability and efficacy of the SRO by obtaining a moderate optimal operation of the system between a stochastic and robust optimization framework.

KW - Battery

KW - Solar PV

KW - Unit commitment

KW - energy storage management

KW - scheduling

KW - stochastic robust optimization

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DO - 10.1109/ICCAD57653.2023.10152359

M3 - Conference contribution

AN - SCOPUS:85164206987

T3 - 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

BT - 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023

Y2 - 10 May 2023 through 12 May 2023

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Khan K, Rauf A, Khalid M. Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization. In 2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 International Conference on Control, Automation and Diagnosis, ICCAD 2023). doi: 10.1109/ICCAD57653.2023.10152359

Economic Dispatch for Conventional Generation-Replacement with Solar PV and Battery Storage Using Robust Stochastic Optimization

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this