Multi-objective optimization of a CHP-PV-battery islanded microgrid

Nnamdi Nwulu

doi:10.1109/ICECDS.2017.8389607

Multi-objective optimization of a CHP-PV-battery islanded microgrid

Nnamdi Nwulu

Electrical and Electronic Engineering Science

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

9 Citations (Scopus)

Abstract

This paper presents the optimal operational schedule for a Combined Heat & Power (CHP) generator, PV-Battery powered hybrid Microgrid. The objective function is to minimize the daily operational cost of the hybrid energy sources whilst ensuring that the heat and load demand are satisfied. Additional technology specific constraints and ramp rates constraints are also incorporated in the designed model. The model is validated with practical case studies and results show the practicability and the cost saving features of the developed system.

Original language	English
Title of host publication	2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	98-102
Number of pages	5
ISBN (Electronic)	9781538618868
DOIs	https://doi.org/10.1109/ICECDS.2017.8389607
Publication status	Published - 19 Jun 2018
Event	2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 - Chennai, India Duration: 1 Aug 2017 → 2 Aug 2017

Publication series

Name	2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017

Conference

Conference	2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017
Country/Territory	India
City	Chennai
Period	1/08/17 → 2/08/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Batteries
Combined Heat and Power
Economic dispatch
Microgrids
Solar PV

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Information Systems
Decision Sciences (miscellaneous)
Information Systems and Management
Energy Engineering and Power Technology
Computer Science Applications
Signal Processing

Access to Document

10.1109/ICECDS.2017.8389607

Cite this

Nwulu, N. (2018). Multi-objective optimization of a CHP-PV-battery islanded microgrid. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 (pp. 98-102). (2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECDS.2017.8389607

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title = "Multi-objective optimization of a CHP-PV-battery islanded microgrid",

abstract = "This paper presents the optimal operational schedule for a Combined Heat \& Power (CHP) generator, PV-Battery powered hybrid Microgrid. The objective function is to minimize the daily operational cost of the hybrid energy sources whilst ensuring that the heat and load demand are satisfied. Additional technology specific constraints and ramp rates constraints are also incorporated in the designed model. The model is validated with practical case studies and results show the practicability and the cost saving features of the developed system.",

keywords = "Batteries, Combined Heat and Power, Economic dispatch, Microgrids, Solar PV",

author = "Nnamdi Nwulu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 ; Conference date: 01-08-2017 Through 02-08-2017",

year = "2018",

month = jun,

day = "19",

doi = "10.1109/ICECDS.2017.8389607",

language = "English",

series = "2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017",

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

pages = "98--102",

booktitle = "2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017",

address = "United States",

}

Nwulu, N 2018, Multi-objective optimization of a CHP-PV-battery islanded microgrid. in 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017. 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, Institute of Electrical and Electronics Engineers Inc., pp. 98-102, 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, Chennai, India, 1/08/17. https://doi.org/10.1109/ICECDS.2017.8389607

Multi-objective optimization of a CHP-PV-battery islanded microgrid. / Nwulu, Nnamdi.
2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 98-102 (2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017).

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

TY - GEN

T1 - Multi-objective optimization of a CHP-PV-battery islanded microgrid

AU - Nwulu, Nnamdi

PY - 2018/6/19

Y1 - 2018/6/19

N2 - This paper presents the optimal operational schedule for a Combined Heat & Power (CHP) generator, PV-Battery powered hybrid Microgrid. The objective function is to minimize the daily operational cost of the hybrid energy sources whilst ensuring that the heat and load demand are satisfied. Additional technology specific constraints and ramp rates constraints are also incorporated in the designed model. The model is validated with practical case studies and results show the practicability and the cost saving features of the developed system.

AB - This paper presents the optimal operational schedule for a Combined Heat & Power (CHP) generator, PV-Battery powered hybrid Microgrid. The objective function is to minimize the daily operational cost of the hybrid energy sources whilst ensuring that the heat and load demand are satisfied. Additional technology specific constraints and ramp rates constraints are also incorporated in the designed model. The model is validated with practical case studies and results show the practicability and the cost saving features of the developed system.

KW - Batteries

KW - Combined Heat and Power

KW - Economic dispatch

KW - Microgrids

KW - Solar PV

UR - https://www.scopus.com/pages/publications/85050164732

U2 - 10.1109/ICECDS.2017.8389607

DO - 10.1109/ICECDS.2017.8389607

M3 - Conference contribution

AN - SCOPUS:85050164732

T3 - 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017

SP - 98

EP - 102

BT - 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017

Y2 - 1 August 2017 through 2 August 2017

ER -

Nwulu N. Multi-objective optimization of a CHP-PV-battery islanded microgrid. In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017. Institute of Electrical and Electronics Engineers Inc. 2018. p. 98-102. (2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017). doi: 10.1109/ICECDS.2017.8389607

Multi-objective optimization of a CHP-PV-battery islanded microgrid

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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