Published February 1, 2017 | Version v1
Journal article

Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub

Description

Highlights: • Design a novel architecture for energy hub integrating power hub, cooling hub and heating hub. • The micro energy grid based on energy hub is introduced and its advantages are discussed. • Propose a generic modeling method for the energy flow of micro energy grid. • Propose an optimal operation model for micro energy grid with considering demand response. • The roles of renewable energy, energy storage devices and demand response are discussed separately. - Abstract: The energy security and environmental problems impel people to explore a more efficient, environment friendly and economical energy utilization pattern. In this paper, the coordinated operation and optimal dispatch strategies for multiple energy system are studied at the whole Micro Energy Grid level. To augment the operation flexibility of energy hub, the innovation sub-energy hub structure including power hub, heating hub and cooling hub is put forward. Basing on it, a generic energy hub architecture integrating renewable energy, combined cooling heating and power, and energy storage devices is developed. Moreover, a generic modeling method for the energy flow of micro energy grid is proposed. To minimize the daily operation cost, a day-ahead dynamic optimal operation model is formulated as a mixed integer linear programming optimization problem with considering the demand response. Case studies are undertaken on a community Micro Energy Grid in four different scenarios on a typical summer day and the roles of renewable energy, energy storage devices and demand response are discussed separately. Numerical simulation results indicate that the proposed energy flow modeling and optimal operation method are universal and effective over the entire energy dispatching horizon.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enconman.2016.12.011

Additional details

Identifiers

DOI
10.1016/j.enconman.2016.12.011;
PII
S0196-8904(16)31084-6;

Publishing Information

Journal Title
Energy Conversion and Management
Journal Volume
133
Journal Page Range
p. 292-306
ISSN
0196-8904
CODEN
ECMADL

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48075234
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ARCHITECTURE; COMPUTERIZED SIMULATION; ENERGY CONSUMPTION; ENERGY SECURITY; ENERGY STORAGE; ENVIRONMENT; LINEAR PROGRAMMING; OPTIMIZATION; POWER SYSTEMS; RENEWABLE ENERGY SOURCES
Descriptors DEC
CALCULATION METHODS; ENERGY SOURCES; ENERGY SYSTEMS; SIMULATION; STORAGE

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.