Time-decoupling hierarchical energy management of integrated energy systems considering supply and demand uncertainty

doi:10.3969/j.issn.2097-0706.2023.06.003

Abstract

Abstract:

Studying the operation optimization of regional integrated energy systems with electricity as their cores is conducive to improving their energy utilization efficiency， economy and reliability. To address the uncertainty of renewable energy outputs and load demands in the systems， a time-decoupling hierarchical energy management strategy based on energy hubs is proposed. The day-ahead static optimization based on the prediction on renewable energy outputs and load demands achieves the coordinated utilization of multiple energy. Then，the energy storage consistency weight coefficient is introduced into the intraday rolling optimization based on feedback correction， so that the intraday rolling optimised power of the energy storage system can comply with the day-ahead static optimization results. The strategy can improve the participation of energy storage systems into system power balance over a long-time scale，reduce the impact of the supply and demand uncertainty on the system， and enhance the anti-interference of the system. At the same time， reserve powers are distributed evenly according to the energy storage capacity and power prediction error， to improve the security and stability of the electrical power systems with small inertia time constant. Finally， the effectiveness of the optimization strategy and model is verified by simulation examples.

Key words: regional integrated energy system, renewable energy, energy hub, energy storage, supply and demand uncertainty, rolling optimization, energy management

CLC Number:

TK019

DOU Zhenlan, SHEN Jianzhong, ZHANG Chunyan, JIANG Jingjing, CHEN Qi, CHEN Jing. Time-decoupling hierarchical energy management of integrated energy systems considering supply and demand uncertainty[J]. Integrated Intelligent Energy, 2023, 45(6): 17-24.

Figures/Tables 13

Fig.1

Table 1

Optimization variables of the RIES based on the EH

变量		描述说明
输入层	$P P V, t$	t 时刻PV输出功率，kW
	$P W T, t$	t 时刻WT输出功率，kW
	$P E X, t$	t 时刻与电网交易功率，kW
	$P G, t$	t 时刻购买天然气功率，kW
	$p E X, t$	t 时刻与电网交易电价，元/(kW·h)
	$p G, t$	t 时刻购买天然气价格，元/(kW·h)
存储层	$P E S, t$	t 时刻电储能输出功率，kW
	$P H S, t$	t 时刻热储能输出功率，kW
	$P C S, t$	t 时刻冷储能输出功率，kW
转换层	$η C H P E$	CHP机组产电效率
	$η C H P H$	CHP机组产热效率
	$η B$	燃气锅炉天然气转化为热的效率
	$C O P, C C$	压缩式制冷机制冷性能系数, 3.0
	$C O P, A C$	吸收式制冷机制冷性能系数, 0.9
	$α E, t$	t 时刻电母线能量调度因子
	$α H, t$	t 时刻热母线能量调度因子
	$α G, t$	t 时刻天然气母线能量调度因子
输出层	$P E L, t$	t 时刻电负荷，kW
	$P H L, t$	t 时刻热负荷，kW
	$P C L, t$	t 时刻冷负荷，kW

Table 1

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Table 2

Table 3

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设备	运维成本/[元·(kW·h)^-1]	启停机成本/元	效率/%	上坡/下坡功率/kW	功率上/下限/kW
CHPE	0.026	2.72	0.41	50/25	300/50
CHPH	0.026	2.72	0.45	50/25	460/80
GB	0.025	1.94	0.85		375/60

储能单元	运维成本/[元·(kW·h)^-1]	充/放电效率/%	充放百分比上限/%	容量百分比上/下限/%	初始容量/kW	额定容量/kW
电1	0.001 8	90	30	90/10	30	300
电2	0.001 8	90	30	90/10	20	200
热	0.001 6	90	25	85/10	30	300
冷	0.001 6	90	25	85/10	15	150