Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty

Mostafa H. Mostafa; Muhyaddin Rawa; Ahmed I. Omar; Shady H.E. Abdel Aleem; Almoataz Y. Abdelaziz; Ziad M. Ali; Ahmed F. Zobaa

doi:10.1007/978-3-031-18996-8_14

Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty

Mostafa H. Mostafa, Muhyaddin Rawa, Ahmed I. Omar, Shady H.E. Abdel Aleem, Almoataz Y. Abdelaziz, Ziad M. Ali, Ahmed F. Zobaa

Electrical Engineering

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

1 Scopus citations

Abstract

One of the significant aspects in microgrids (MG) optimization frameworks is to cope with stochastic parameters of renewable energy sources (RESs), market pricing, and electrical demand. Thus, the study of market price volatility, the intermittency of the RESs, and electrical demand alteration has received a great concentration in the recent period. This chapter introduces a stochastic optimization method for scheduling the energy of MG considering random demand, the intermittent nature of RES, and the volatile market price. The optimal daily energy scheduling is employed to attain the OFs, such as the minimum operating cost of the MG over a 24-h horizon or minimizing the pollutant emissions over a 24-h horizon. In addition, this chapter introduces multi-OFs to reduce the overall operating cost and the pollutant emission of MGs over a 24-h while taking into account different operational restrictions. In the proposed stochastic structure, uncertainty modeling of the RESs, electrical loads, and market pricing is modeled by fuzzy C-means. The general algebraic modeling system (GAMS) can be employed for modeling the optimization issue expressed in the chapter.

Original language	English
Title of host publication	Modernization of Electric Power Systems
Subtitle of host publication	Energy Efficiency and Power Quality
Publisher	Springer International Publishing
Pages	443-462
Number of pages	20
ISBN (Electronic)	9783031189968
ISBN (Print)	9783031189951
DOIs	https://doi.org/10.1007/978-3-031-18996-8_14
State	Published - 1 Jan 2023

Keywords

Decision making
Energy management
Energy storage
Microgrid
Parameters uncertainty
Renewable energy sources
Stochastic approach
Techno-economic metrics

UN SDGs

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

Access to Document

10.1007/978-3-031-18996-8_14

Cite this

Mostafa, M. H., Rawa, M., Omar, A. I., Abdel Aleem, S. H. E., Abdelaziz, A. Y., Ali, Z. M., & Zobaa, A. F. (2023). Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty. In Modernization of Electric Power Systems: Energy Efficiency and Power Quality (pp. 443-462). Springer International Publishing. https://doi.org/10.1007/978-3-031-18996-8_14

@inbook{b1c15065b42d4a0585fc7425f76eba89,

title = "Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty",

abstract = "One of the significant aspects in microgrids (MG) optimization frameworks is to cope with stochastic parameters of renewable energy sources (RESs), market pricing, and electrical demand. Thus, the study of market price volatility, the intermittency of the RESs, and electrical demand alteration has received a great concentration in the recent period. This chapter introduces a stochastic optimization method for scheduling the energy of MG considering random demand, the intermittent nature of RES, and the volatile market price. The optimal daily energy scheduling is employed to attain the OFs, such as the minimum operating cost of the MG over a 24-h horizon or minimizing the pollutant emissions over a 24-h horizon. In addition, this chapter introduces multi-OFs to reduce the overall operating cost and the pollutant emission of MGs over a 24-h while taking into account different operational restrictions. In the proposed stochastic structure, uncertainty modeling of the RESs, electrical loads, and market pricing is modeled by fuzzy C-means. The general algebraic modeling system (GAMS) can be employed for modeling the optimization issue expressed in the chapter.",

keywords = "Decision making, Energy management, Energy storage, Microgrid, Parameters uncertainty, Renewable energy sources, Stochastic approach, Techno-economic metrics",

author = "Mostafa, \{Mostafa H.\} and Muhyaddin Rawa and Omar, \{Ahmed I.\} and \{Abdel Aleem\}, \{Shady H.E.\} and Abdelaziz, \{Almoataz Y.\} and Ali, \{Ziad M.\} and Zobaa, \{Ahmed F.\}",

note = "Publisher Copyright: {\textcopyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.",

year = "2023",

month = jan,

day = "1",

doi = "10.1007/978-3-031-18996-8\_14",

language = "English",

isbn = "9783031189951",

pages = "443--462",

booktitle = "Modernization of Electric Power Systems",

publisher = "Springer International Publishing",

address = "Switzerland",

}

Mostafa, MH, Rawa, M, Omar, AI, Abdel Aleem, SHE, Abdelaziz, AY, Ali, ZM & Zobaa, AF 2023, Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty. in Modernization of Electric Power Systems: Energy Efficiency and Power Quality. Springer International Publishing, pp. 443-462. https://doi.org/10.1007/978-3-031-18996-8_14

Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty. / Mostafa, Mostafa H.; Rawa, Muhyaddin; Omar, Ahmed I. et al.
Modernization of Electric Power Systems: Energy Efficiency and Power Quality. Springer International Publishing, 2023. p. 443-462.

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

TY - CHAP

T1 - Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty

AU - Mostafa, Mostafa H.

AU - Rawa, Muhyaddin

AU - Omar, Ahmed I.

AU - Abdel Aleem, Shady H.E.

AU - Abdelaziz, Almoataz Y.

AU - Ali, Ziad M.

AU - Zobaa, Ahmed F.

N1 - Publisher Copyright: © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

PY - 2023/1/1

Y1 - 2023/1/1

N2 - One of the significant aspects in microgrids (MG) optimization frameworks is to cope with stochastic parameters of renewable energy sources (RESs), market pricing, and electrical demand. Thus, the study of market price volatility, the intermittency of the RESs, and electrical demand alteration has received a great concentration in the recent period. This chapter introduces a stochastic optimization method for scheduling the energy of MG considering random demand, the intermittent nature of RES, and the volatile market price. The optimal daily energy scheduling is employed to attain the OFs, such as the minimum operating cost of the MG over a 24-h horizon or minimizing the pollutant emissions over a 24-h horizon. In addition, this chapter introduces multi-OFs to reduce the overall operating cost and the pollutant emission of MGs over a 24-h while taking into account different operational restrictions. In the proposed stochastic structure, uncertainty modeling of the RESs, electrical loads, and market pricing is modeled by fuzzy C-means. The general algebraic modeling system (GAMS) can be employed for modeling the optimization issue expressed in the chapter.

AB - One of the significant aspects in microgrids (MG) optimization frameworks is to cope with stochastic parameters of renewable energy sources (RESs), market pricing, and electrical demand. Thus, the study of market price volatility, the intermittency of the RESs, and electrical demand alteration has received a great concentration in the recent period. This chapter introduces a stochastic optimization method for scheduling the energy of MG considering random demand, the intermittent nature of RES, and the volatile market price. The optimal daily energy scheduling is employed to attain the OFs, such as the minimum operating cost of the MG over a 24-h horizon or minimizing the pollutant emissions over a 24-h horizon. In addition, this chapter introduces multi-OFs to reduce the overall operating cost and the pollutant emission of MGs over a 24-h while taking into account different operational restrictions. In the proposed stochastic structure, uncertainty modeling of the RESs, electrical loads, and market pricing is modeled by fuzzy C-means. The general algebraic modeling system (GAMS) can be employed for modeling the optimization issue expressed in the chapter.

KW - Decision making

KW - Energy management

KW - Energy storage

KW - Microgrid

KW - Parameters uncertainty

KW - Renewable energy sources

KW - Stochastic approach

KW - Techno-economic metrics

UR - http://www.scopus.com/inward/record.url?scp=85169382455&partnerID=8YFLogxK

U2 - 10.1007/978-3-031-18996-8_14

DO - 10.1007/978-3-031-18996-8_14

M3 - Chapter

AN - SCOPUS:85169382455

SN - 9783031189951

SP - 443

EP - 462

BT - Modernization of Electric Power Systems

PB - Springer International Publishing

ER -

Mostafa MH, Rawa M, Omar AI, Abdel Aleem SHE, Abdelaziz AY, Ali ZM et al. Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty. In Modernization of Electric Power Systems: Energy Efficiency and Power Quality. Springer International Publishing. 2023. p. 443-462 doi: 10.1007/978-3-031-18996-8_14

Stochastic Approach for Economic-Technical-Environmental Operation of Microgrids with Battery Storage Considering Parameters Uncertainty

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this