NDLI: Day-ahead energy management framework for a networked gas–heat

Content Provider	IET Digital Library
Author	Massrur, Hamid Reza Niknam, Taher Firuzabad, Mahmud Fotuhi
Abstract	The integration of various energy supplying systems increases the energy efficiency and energy system reliability. Smart microgrids are an ideal area to use multi-carrier energy systems. In this context, this study presents a novel modelling framework for optimal day-ahead scheduling of a networked multi-carrier energy microgrid (NMCEMG) system. The NMCEMG system in this study is composed of heat, gas, and power supply networks. The presented framework has enhanced the multi-carrier microgrid modelling against the previous works that modelled the multi-carrier microgrid as an energy hub due to difficulties in the energy flow analysis of heat and gas networks. The proposed framework optimises the day-ahead operating cost of the NMCEMG system considering nodal and energy flow constraints of each network. The proposed microgrid includes various energy interdependent equipment such as combined heat and power units, gas-fired boilers, power to gas units, electrical and heat storages and electric heat pumps. This study presents a new optimisation algorithm named self-adaptive modified whale optimisation algorithm based on wavelet theory to solve the day-ahead optimal scheduling of the NMCEMG problem. The numerical results corroborate the proposed modelling framework as superior over conventional hub-based multi-carrier microgrid models in terms of energy system security.
Starting Page	4617
Ending Page	4629
Page Count	13
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 20, Oct (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/20
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2019.0686
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-08-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Boilers Conventional Hub-based Multicarrier Microgrid Model Day-ahead Energy Management Framework Day-ahead Operating Cost Day-ahead Optimal Scheduling Distributed Power Generation Distribution Network Electric Heat Pumps Energy Efficiency Energy Flow Analysis Energy Flow Constraint Energy Hub Energy Interdependent Equipment Energy Management System Energy Supplying System Increases Energy System Reliability Energy System Security Framework Optimises Gas Network Gas Units Gas-fired Boilers Heat Pumps Multicarrier Energy System Multicarrier Microgrid Modelling Networked Gas–heat–electricity Microgrid Networked Multicarrier Energy Microgrid System NMCEMG System Novel Modelling Framework Optimal Day-ahead Scheduling Optimisation Optimisation Technique Power Distribution Economics Power Generation Economics Power Generation Scheduling Power Supply Network Power System Economics Power System Managemen Power System Operation Smart Microgrid
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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