Multi-Objective Generation Scheduling of Hydro-Thermal System Incorporating Energy Storage With Demand Side Management Considering Renewable Energy Uncertainties

Chitralekha Jena; Josep M. Guerrero; Abdullah Abusorrah; Yusuf Al-Turki; Baseem Khan

doi:10.1109/ACCESS.2022.3172500

Multi-Objective Generation Scheduling of Hydro-Thermal System Incorporating Energy Storage With Demand Side Management Considering Renewable Energy Uncertainties

Chitralekha Jena, Josep M. Guerrero, Abdullah Abusorrah, Yusuf Al-Turki, Baseem Khan

Research output: Contribution to journal › Article › peer-review

33 Citations (Scopus)

Abstract

Atmospheric pollutants, mainly produced by thermal power plants compel to utilize green energy sources such as renewable energy sources and hydroelectric plants in a power system. But due to blinking behavior of sources of renewable energy and due to very high rate of outages, it has a detrimental consequence on overall grid. Demand side management (DSM) programs decrease cost and improve power system security. This study proposes non-dominated sorting genetic algorithm-II (NSGA-II) to solve multi-objective scheduling of generation for fixed head hydro-thermal system integrating pumped hydro energy storage and sources of renewable energy taking into consideration the outage and uncertainty in presence of DSM. Numerical results of the test system attained using the proposed technique were compared with strength pareto evolutionary algorithm 2 (SPEA 2).

Original language	English
Pages (from-to)	52343-52357
Number of pages	15
Journal	IEEE Access
Volume	10
DOIs	https://doi.org/10.1109/ACCESS.2022.3172500
Publication status	Published - 2022
Externally published	Yes

Keywords

Demand side management
fixed head hydro plant
outage
pumped storage plant(PSP)
pumped-hydro storage unit
sources of renewable energy
uncertainty

ASJC Scopus subject areas

General Computer Science
General Materials Science
General Engineering

UN SDGs

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

Access to Document

10.1109/ACCESS.2022.3172500

Cite this

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title = "Multi-Objective Generation Scheduling of Hydro-Thermal System Incorporating Energy Storage With Demand Side Management Considering Renewable Energy Uncertainties",

abstract = "Atmospheric pollutants, mainly produced by thermal power plants compel to utilize green energy sources such as renewable energy sources and hydroelectric plants in a power system. But due to blinking behavior of sources of renewable energy and due to very high rate of outages, it has a detrimental consequence on overall grid. Demand side management (DSM) programs decrease cost and improve power system security. This study proposes non-dominated sorting genetic algorithm-II (NSGA-II) to solve multi-objective scheduling of generation for fixed head hydro-thermal system integrating pumped hydro energy storage and sources of renewable energy taking into consideration the outage and uncertainty in presence of DSM. Numerical results of the test system attained using the proposed technique were compared with strength pareto evolutionary algorithm 2 (SPEA 2).",

keywords = "Demand side management, fixed head hydro plant, outage, pumped storage plant(PSP), pumped-hydro storage unit, sources of renewable energy, uncertainty",

author = "Chitralekha Jena and Guerrero, \{Josep M.\} and Abdullah Abusorrah and Yusuf Al-Turki and Baseem Khan",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2022",

doi = "10.1109/ACCESS.2022.3172500",

language = "English",

volume = "10",

pages = "52343--52357",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

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T1 - Multi-Objective Generation Scheduling of Hydro-Thermal System Incorporating Energy Storage With Demand Side Management Considering Renewable Energy Uncertainties

AU - Jena, Chitralekha

AU - Guerrero, Josep M.

AU - Abusorrah, Abdullah

AU - Al-Turki, Yusuf

AU - Khan, Baseem

PY - 2022

Y1 - 2022

N2 - Atmospheric pollutants, mainly produced by thermal power plants compel to utilize green energy sources such as renewable energy sources and hydroelectric plants in a power system. But due to blinking behavior of sources of renewable energy and due to very high rate of outages, it has a detrimental consequence on overall grid. Demand side management (DSM) programs decrease cost and improve power system security. This study proposes non-dominated sorting genetic algorithm-II (NSGA-II) to solve multi-objective scheduling of generation for fixed head hydro-thermal system integrating pumped hydro energy storage and sources of renewable energy taking into consideration the outage and uncertainty in presence of DSM. Numerical results of the test system attained using the proposed technique were compared with strength pareto evolutionary algorithm 2 (SPEA 2).

AB - Atmospheric pollutants, mainly produced by thermal power plants compel to utilize green energy sources such as renewable energy sources and hydroelectric plants in a power system. But due to blinking behavior of sources of renewable energy and due to very high rate of outages, it has a detrimental consequence on overall grid. Demand side management (DSM) programs decrease cost and improve power system security. This study proposes non-dominated sorting genetic algorithm-II (NSGA-II) to solve multi-objective scheduling of generation for fixed head hydro-thermal system integrating pumped hydro energy storage and sources of renewable energy taking into consideration the outage and uncertainty in presence of DSM. Numerical results of the test system attained using the proposed technique were compared with strength pareto evolutionary algorithm 2 (SPEA 2).

KW - Demand side management

KW - fixed head hydro plant

KW - outage

KW - pumped storage plant(PSP)

KW - pumped-hydro storage unit

KW - sources of renewable energy

KW - uncertainty

UR - https://www.scopus.com/pages/publications/85129578121

U2 - 10.1109/ACCESS.2022.3172500

DO - 10.1109/ACCESS.2022.3172500

M3 - Article

AN - SCOPUS:85129578121

SN - 2169-3536

VL - 10

SP - 52343

EP - 52357

JO - IEEE Access

JF - IEEE Access

ER -

Multi-Objective Generation Scheduling of Hydro-Thermal System Incorporating Energy Storage With Demand Side Management Considering Renewable Energy Uncertainties

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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