High-Resolution Modeling and Decentralized Dispatch of Heat and Electricity Integrated Energy System

The heat and electricity integrated energy system (HE-IES) has high energy efficiency and bright application prospects. In the HE-IES, the heat transmission in the heating network and the indoor temperature variation in the buildings are governed by (partial) differential equations, which bring the...

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Bibliographic Details
Published in:IEEE transactions on sustainable energy 2020-07, Vol.11 (3), p.1451-1463
Main Authors: Lu, Shuai, Gu, Wei, Zhou, Suyang, Yu, Wenwu, Yao, Shuai, Pan, Guangsheng
Format: Article
Language:English
Subjects:
Antenna arrays
Buildings
Differential equations
Dynamics
Electricity
Energy efficiency
heat dynamics
Heat transmission
Heating
heating network
High resolution
integrated energy system
Integrated energy systems
Interference
MIMO communication
Modelling
optimal dispatch
Power demand
Power dispatch
Security
Signal to noise ratio
Uncertainty
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Summary:The heat and electricity integrated energy system (HE-IES) has high energy efficiency and bright application prospects. In the HE-IES, the heat transmission in the heating network and the indoor temperature variation in the buildings are governed by (partial) differential equations, which bring the heat dynamics problem in the system operation. In this paper, we propose a comprehensive approach for the operation of the HE-IES to coordinate the electricity and heat dynamics, including modeling, evaluation, and dispatch procedure. First, we formulate a high-resolution model for the heating network and buildings to describe the heat dynamics; two indices are proposed to measure the impact of heat dynamics, which are then used to select the time resolution. Second, an optimal dispatch model with high resolution for the heat dynamics is formulated for the HE-IES; a decentralized and parallel solution method is proposed based on the alternating direction method of multipliers. Third, a two-stage procedure for the time resolution selection is proposed, which consists of a dispatch decision stage and a time resolution evaluation stage. A small illustrative case is studied to verify the effectiveness of the proposed method. A big case based on a real heating network in Jilin Province, China, is also simulated.
ISSN:1949-3029
1949-3037
DOI:10.1109/TSTE.2019.2927637