Bi-level Collaborative Configuration Optimization of Biogas-Wind-Solar Integrated Energy System Based on Energy Hub

doi:10.11930/j.issn.1004-9649.202303062

Abstract

Abstract:

In order to solve the collaborative optimization problem of rural biogas-wind-solar integrated energy system, a bi-level planning model of collaborative optimization of biogas-wind-solar integrated energy system was proposed based on energy hub. In the upper level, the Pareto optimal solutions of the configuration scheme were obtained using the NSGA-II algorithm with the goal of minimizing the annual total cost and carbon emissions. In the lower level, the optimal operation scheme was obtained with the objective of minimizing the operation cost (including carbon emission cost). The heuristic rule was introduced to eliminate the possible equipment redundancy of the configuration scheme from the upper and speed up the optimal configuration process. Finally, the proposed model was verified through a rural biogas-wind-solar integrated energy system in Fujian. The results have proved the plurality and superiority of the proposed optimal configuration and operation scheme.

Key words: biogas-wind-solar integrated energy system, economy, environmental protection, energy hub, Pareto optimal solutions

Zimeng LI, Tiankuo WANG, Pengfei HU, Yanxue YU, Yi DU, Qiyuan CAI. Bi-level Collaborative Configuration Optimization of Biogas-Wind-Solar Integrated Energy System Based on Energy Hub[J]. Electric Power, 2024, 57(4): 1-13.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202303062

https://www.electricpower.com.cn/EN/Y2024/V57/I4/1

Figures/Tables 28

References 24

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设备	单位额定容量/kW	单位额定容量成本/万元	运维系数/ 万元	最大允许安装数量/台
风机	50.000	0.600	0.019	4
PVT	50.000	1.270	0.010	4
沼气池	300.000	0.500	0.011	2
沼气罐	150.000	0.170	0.011	4
储能电池	100.000	0.290	0.003	4
CHP	100.000	0.880	0.085	10
沼气炉	100.000	0.210	0.045	10
电锅炉	50.000	0.200	0.021	5

设备	单位额定容量/kW	单位额定容量成本/万元	运维系数/ 万元	最大允许安装数量/台
风机	50.000	0.600	0.019	4
PVT	50.000	1.270	0.010	4
沼气池	300.000	0.500	0.011	2
沼气罐	150.000	0.170	0.011	4
储能电池	100.000	0.290	0.003	4
CHP	100.000	0.880	0.085	10
沼气炉	100.000	0.210	0.045	10
电锅炉	50.000	0.200	0.021	5

时段		电价/ (元·(kW·h)^–1)
高峰时段（08:30—11:30；14:30—16:30；18:00—20:00）		0.808
平峰时段（06:00—08:30；11:30—14:30；16:30—18:00）		0.548
低谷时段（00:00—06:00；20:00—24:00）		0.288

时段		电价/ (元·(kW·h)^–1)
高峰时段（08:30—11:30；14:30—16:30；18:00—20:00）		0.808
平峰时段（06:00—08:30；11:30—14:30；16:30—18:00）		0.548
低谷时段（00:00—06:00；20:00—24:00）		0.288

参数	设定值	参数	设定值
λ_on,chp/(元·次^–1)	53.350	η_e,PVT	0.450
λ_off,chp/(元·次^–1)	53.350	η_h,PVT	0.550
η_e,CHP	0.400	T_in,min/ ℃	15.000
η_h,CHP	0.450	T_in,max/ ℃	55.000
P_chp,min/kW	5.000	Q_bio/((kW·h)·m^–3)	6.110
P_chp,max/kW	100.000	Pr_bio/(元·(kW·h)^–1)	0.245
η_f	0.750	S_bes,min	0.100
P_f,ma/kW	100.000	S_bes,max	1.000
η_b	0.750	V_gs,min/(m³·h^–1)	–150.000
P_b,max/kW	50.000	V_gs,max/(m³·h^–1)	150.000
G_s,grid/(g·(kW·h)^–1)	3.120	S_bes,min	0.100
G_n,grid/(g·(kW·h)^–1)	2.350	S_bes,max	0.900
G_c,grid/(g·(kW·h)^–1)	0.890	P_ch,max/kW	80.000
G_c,bio/(kg·m^–3)	1.960	P_dis,max/kW	80.000
G_bef/kg	3721.550	η_ch	0.910
r	0.050	η_dis	0.910
N_inv	8.000	$r_{\rm SO_2} $/(元·g^–1)	0.006
R	0.050	${r_{{\text{N}}{{\text{O}}_{{x}}}}} $/(元·g^–1)	0.008
P_grid,max/kW	1000.000	$ r_{\rm CO_2}$/(元·kg^–1)	0.060