Distributed energy management of port integrated energy system considering computing power demands

doi:10.3969/j.issn.2097-0706.2025.01.006

Abstract

Abstract:

To address the challenges of sharp growth of computing power demands and uncertainties of renewable energy generation brought by the digital and green transformation of ports，a distributed energy management method of port integrated energy system is introduced considering computing power demands. The aim is to achieve comprehensive optimization of electricity，thermal energy，and computational power within the port areas through energy scheduling and collaborative utilization，thereby maximizing economic benefits. Considering the time delay constraints and the potential for waste heat recovery under different data loads，an energy consumption calculation model for port data centers was established. Aiming to minimize the operational costs of port microgrids，data centers，and thermal systems，and considering the interactive coupling mechanisms and diverse load demand constraints of various energy forms such as electricity and thermal energy，an energy management model of port integrated energy system was developed. In order to obtain the optimal energy management solution for the integrated energy system and collaboratively advance decarbonization efforts in shipping and road transport sectors，a distributed algorithm based on dual decomposition mixed integer linear programming was utilized to solve the problem. Simulation analysis indicated enhanced operational efficiency of the port integrated energy system which could effectively address the challenges posed by computational power demands.

Key words: port digitalization, integrated energy system, data center, computing power, microgrid, waste heat recovery, distributed energy management, mixed integer linear programming

CLC Number:

TK01

QU Qi, TENG Fei, GUO Yuxin, ZHANG Linxue. Distributed energy management of port integrated energy system considering computing power demands[J]. Integrated Intelligent Energy, 2025, 47(1): 42-50.

Figures/Tables 7

Fig.1

Fig.2

Table 1

Equipment parameters

参数	数值	参数	数值
$P m i n n$ /kW	1	$L R$ /个	8 000
$P m a x n$ /kW	3	$η G$	0.8
$v n$ /（个·h^-1）	40	$K D C$ /美元	0.650
$M$ /台	600	R_pue	1.3
$L Y$ /个	10 000	$η$	0.2
$α w$ /美元	0.620	$α p v$ /美元	0.615
$α C H P - E$ /美元	0.650	$P w m i n$ /kW	0
$P w m a x$ /kW	1 300	$P C H P - E m i n$ /kW	200
$P C H P - E m a x$ /kW	1 000	$P p v m i n$ /kW	0
$P p v m a x$ /kW	1 500	$β C H P - H$ /美元	1.500
$β G$ /美元	1.200	$P C H P - H m i n$ /kW	0
$P C H P - H m a x$ /kW	300	$P G - H m i n$ /kW	0
$P G - H m a x$ /kW	300	$P S$ /kW	[3,5]
$E r e f n$ /(kW·h)	[0.55，0.80] $E m a x n$	$E m a x n$ /(kW·h)	[8,16]
$K S C$ /[美元·(kW·h)^-1]	[0.6，1.1]	$E m i n n$ /(kW·h)	1
$K S D$ /[美元·(kW·h)^-1]	1.1 $K S C$	$E i n i t n$ /(kW·h)	[0.2，0.5] $E m a x n$

Table 1

Fig.3

Fig.4

Fig.5

Fig.6

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