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

TLDR

The heat and electricity integrated energy system (HE‑IES) offers high energy efficiency, but its operation is challenged by heat dynamics governed by partial differential equations in the heating network and building indoor temperatures. This study proposes a comprehensive high‑resolution modeling and dispatch framework to coordinate electricity and heat dynamics in the HE‑IES, including model formulation, evaluation, and dispatch procedures. The framework comprises a high‑resolution model of the heating network and buildings, two indices for heat‑dynamics impact to select time resolution, an optimal dispatch model solved by a decentralized parallel ADMM method, and a two‑stage time‑resolution selection procedure, validated on illustrative and real‑world cases. The proposed method proved effective in a small illustrative case and in a large real‑world case based on a heating network in Jilin Province, China.

Abstract

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.