Research on Integrated Energy System Configuration and Optimal Operation of Concentrating Solar Power Plant Participation Under Carbon Trading Mechanism

doi:10.11985/2023.04.032

Abstract

Abstract:

Aiming at the integrated energy system involving concentrating solar power stations under the background of “double carbon”, a two-stage robust optimal allocation and optimal operation model of multi-energy coupled regional integrated energy system considering the uncertainty of source-side output and load-side demand under the carbon trading mechanism is established. The uncertainty adjustment parameters are introduced into the model to make the scheduling scheme more flexible. Then, based on the column and constraint generation algorithm and Lagrange dual method, the original problem is decomposed into the main problem and the sub-problem to solved iteratively. Finally, the proposed method is verified by a simulation example. The results show that the proposed method can effectively reduce the problem of large fluctuation of system capacity allocation caused by uncertainty factors, and reduce the comprehensive scheduling cost. At the same time, the participation of the concentrating solar power stations enable the system to take into account both low-carbon and economical.

Key words: Regional integrated energy system, concentrating solar power stations, robust optimization, column and constraint generation algorithm, uncertainty

CLC Number:

TM73

ZENG Xianqiang, ZHANG Yi, WANG Xiaolan. Research on Integrated Energy System Configuration and Optimal Operation of Concentrating Solar Power Plant Participation Under Carbon Trading Mechanism[J]. Journal of Electrical Engineering, 2023, 18(4): 300-309.

Figures/Tables 12

References 20

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类型	功率下限/MW	功率上限/MW
CSP发电	0	20
CSP发热	0	5
CCHP发电	0	10
CCHP产冷	0	10
CCHP发热	0	10
GB发热	0	5
EC产冷	0	55
ptg耗电	0	1
储能装置	0	2

参数	数值	参数	数值
η_cchp-e	0.417	η_ch	0.95
η_cchp-c	0.45	η_dis	0.95
η_cchp-h	0.35	λ_c	1.2
η_GB	0.92	ɛ_e/[kg/(kW·h)]	0.7
η_ec	4	ɛ_h/[kg/(kW·h)]	0.4
η_ptg	0.6	F_buy/[kg/(kW·h)]	0.8
η_csp-tes	0.9	Φ	0.798
η_tes-e	0.45	λ_CP/(元/kg)	0.1
η_tes-h	0.95	H_gas/[(kW·h)·m³]^-1	9.78

参数	数值/(元/kW)	参数	数值/(元/kW)
C_cchp	9 000	c_ec	0.05
C_GB	850	c_ptg	0.15
C_ec	950	c_wt	0.02
C_ptg	5 500	c_pv	0.03
c_cchp	0.23	c_csp	0.07
c_GB	0.05

名称	过渡季费用/ 万元	夏季费用/万元	冬季费用/万元	总费用/ 万元
购电	153.62	126.81	62.37	342.8
CCHP	209.65	66.97	114.45	391.07
WT	-120.68	-64.74	-84.02	-269.44
PV	-47.24	-50.00	-17.91	-115.15
CSP	-127.59	-87.84	-55.19	-270.62
ptg	-9.71	-5.16	-4.70	-19.57

优化模型	运行费用/元
Г_RES=0，Г_L=0	408 802.07
本文模型	473 569.3
Г_RES=12，Г_L=24	502 283.56