Research on power distribution strategy of an RSOC-based wind-photovoltaic-hydrogen energy system

doi:10.3969/j.issn.2097-0706.2023.07.009

Abstract

Abstract:

As a new hydrogen storage technology， a reversible solid oxide cell（RSOC）has a promising application prospects in renewable integrated energy systems. Low-temperature hydrogen storage technologies take stack power as system power in power allocation strategy making. A RSOC system is equipped with a large power consumption auxiliary system， Balance of Plant （BOP）， to maintain its high-temperature operation， and the power control rate is limited by the safety temperature. Therefore， the power allocation strategy for the RSOC is decided by the power consumption of the BOP and power control rate of the RSOC hydrogen-water energy conversion system. The modelling of an RSOC-based wind-photovoltaic-hydrogen integrated energy system should make developing the power model for the RSOC hydrogen-water energy conversion system with BOP the priority. To optimize the power distribution in the RSOC-based wind-photovoltaic-hydrogen integrated energy system， a power distribution strategy considering the constraints of the RSOC power control rate and the capacities of subsystems is established， with the goals of minimizing the system daily operating cost and maximizing the consumption of the wind and photovoltaic power. The optimization is solved by multi-objective particle swarm optimization （MOPSO） algorithm. Compared with the general operation strategies， the optimization strategy proposed provides the system with more benefits. Moreover， the participation of the power grid and the storage battery increases the flexibility of the power regulation and reduces the overall operating power of the system.

Key words: hydrogen storage technology, reversible solid oxide cell, renewable integrated energy system, power distribution optimization, multi-objective particle swarm optimization

CLC Number:

TK01

LI Jing, DOU Zhenlan, WANG Jiaxiang, ZHANG Chunyan, LU Tao, NI Yaobing. Research on power distribution strategy of an RSOC-based wind-photovoltaic-hydrogen energy system[J]. Integrated Intelligent Energy, 2023, 45(7): 78-86.

Figures/Tables 15

Fig.1

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Fig.3

Table 1

Fig.4

Table 2

Model input parameters

模型参数	数值	模型参数	数值
P_SOEC,max/kW	2 376	$S O C, m i n$ /%	20
P_SOFC,max/kW	792	$S O C, m a x$ /%	100
ΔP_RSOC,max/kW	300	$f H 2 (t)$ /(元·kg^-1)	34
p_tank,min/MPa	20	f_pv/[元·(kW·h)^-1]	0.85
p_tank,max/MPa	45	f_wind/[元·(kW·h)^-1]	0.47

Table 2

Table 3

Fig.5

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设备	配置规模
光伏阵列/kW	1 231
风力发电机组/kW	727
RSOC氢电转化系统/kW	792
蓄电池/kW	600
储氢罐/m³	17

项目	时段	f_grid/[元·（kW·h）^-1]
峰时	07:00—09:00, 18:00—24:00	0.76
平时	02:00—04:00, 11:00—18:00	0.51
谷时	24:00—02:00, 04:00—07:00, 09:00—11:00	0.26