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Fast and Generic Quasi-dynamic Energy Flow Calculation of the Electricity-Heat Integrated Energy System

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posted on 2022-11-11, 00:42 authored by Shuai YaoShuai Yao, Wei Gu, Jianzhong Wu, Shuai Lu, Hai Lu, Yue Zhou

Energy flow analysis is a fundamental tool to determine the network states of the integrated energy systems. For the widely deployed IES with coupled power grids (PG) and heating networks (HN), we still lack a generic tool that can be easily employed to calculate its quasi-dynamic energy flows. In this paper, we have developed a generic code package (named as MATHN) for energy flow analysis of the quality-regulated HN. Based on it, a generic solution framework that leverages MATPOWER and MATHN to realize decomposed energy flow calculation of PG and HN is further proposed. Behind the MATHN tool, a model reformulation technique is proposed to eliminate the massive indirect variables of the basic HN model discretized by finite difference, which finally derives a compact matrix formulation (similar to the network equation of power grid: I=YU) for generic description of any HN and also slashes the original model scale by around 20 times. Moreover, the solution strategy behind the MATHN tool further converts this matrix formulation into a standard system of non-homogeneous linear equations, with which some existing well-recognized algorithms can be directly employed for efficient and accurate solution. All the codes and input data are made open-source for non-commercial use.

Funding

National key Research and Development Program of China (Grant No. 2020YFE0200400)

Smart Grid Joint Fund of National Science Foundation of China & State Grid Corporation of China (Grant No. U1866208)

Natural Science Foundation of Jiangsu Province (Grant No. BK20200013)

Integrated heating and cooling networks with heat-sharing-enabled smart prosumers

Engineering and Physical Sciences Research Council

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China Scholarship Fund

History

Email Address of Submitting Author

yaoshuai484@seu.edu.cn

ORCID of Submitting Author

https://orcid.org/0000-0002-7202-7961

Submitting Author's Institution

Southease University

Submitting Author's Country

  • China