电力现货市场中新能源-光热联合发电系统的储热系统容量优化配置

doi:10.19799/j.cnki.2095-4239.2023.0335

摘要/Abstract

摘要：

新能源-光热联合发电系统是一种利用新能源发电和储热能力实现优化综合发电能力的新型联合发电系统，技术上能够实现可控性强的清洁能源发电能力。在电力现货市场在国内快速普及的情况下，新能源发电在时变电价机制中最大化发电收入是新能源发电商的核心经营目标。本工作提出了一种在电力现货市场中，针对新能源-光热联合发电系统的储热系统优化配置方法。建立了一个联合发电系统的优化调控模型，模型以最大化联合发电系统发电收益为目标函数，以电力现货市场中场站上网母线的时变节点边际电价和时序消纳能力为边界，考虑了联合发电系统中新能源场站、聚光站、储热系统以及汽机发电系统之间的耦合，通过优化储热系统的充放热方式，模拟联合发电系统在电力市场中最优发电计划。根据联合发电系统的优化调控模型，结合储热系统的经济效益指标，设计了一个基于两阶段优化的储热优化配置方法。最后，通过对实际规划电站的算例分析显示，所提出的优化方法可以量化分析最优的储热配置。本工作创新性地提出电力现货市场中新能源-光热联合发电系统的储热系统优化模型和配置方法，考虑到未来新能源电站会在具有时变电价的电力市场中运营，相比传统的按照固定电价的经济性分析方法，本工作方法能够为发电企业或储能投资商提供更加客观和准确的在电力市场环境下的储热系统优化配置，为提升电站投资效益和控制投资风险提供理论基础和技术手段。

关键词: 新能源, 光热发电系统, 储热, 优化模型, 电力现货市场, 经济效益

Abstract:

Renewable heat-storge generation plant is a new type of generation system that combines renewable generation and thermalstorage to optimize the generation of the plant. It has the advantages of controllability, high efficiency, and clean generation. When the power spot market widely takes place in China's power industry, maximizing the generation revenue of renewable plants in the power market with varying generation prices becomes the most critical task for the generation company. This paper proposes capacity optimization of the thermal storage system for the renewable-thermal-storage generation plant. An optimization generation model of renewable-thermal-storage generation plants is established. Maximizing the plant'srevenue is the objective function of the model. The model considers a variable locational marginal price and renewable accommodation capability at the plant node of the transmission network. Charging and discharging schedules of thermalstorage are optimized as the variables to simulate the optimal generation in the power market with consideration of renewable generation profile, parabolic troughs characteristics, the heat-storage capacity, and their coupling behavior. Based on the optimization generation model, a two-stage evaluation model is designed to optimize the capacity of thermal storage system using the internal return rate as the economic benefit index. Finally, the case study shows that the proposed optimization method can find the optimal thermal storage capacity for the actual planning of the renewable project. In comparison with the conventional economic evaluation method, a method is innovatively realized in the paper for the optimization model and the planning method for the heat storage system. Renewable generation plants will most likely operate in the power market with varying market prices. Therefore, the method can provide an objective and accurate optimal plan of heat storage in a power market for generation companies and energy storage investors and ensure the investment return and reduce financial risk.

Key words: renewable generation, solar thermal storage generation system, thermal storage system, optimizationmodel, powerspot market, economicbenefit

中图分类号:

TK 02

尹航, 汤建方, 张继, 颜豪, 胡晓睿, 王澍. 电力现货市场中新能源-光热联合发电系统的储热系统容量优化配置[J]. 储能科学与技术, 2023, 12(9): 2842-2853.

Hang YIN, Jianfang TANG, Ji ZHANG, Hao YAN, Xiaorui HU, Shu WANG. Capacity optimization of thermal storage system for renewable-thermal-storage generation plant in power spot market[J]. Energy Storage Science and Technology, 2023, 12(9): 2842-2853.

图/表 15

图1

图2

图3

图4

表1

新能源-光热联合发电系统运行参数"

参数	参数值	参数	参数值
$η P W$	0.96	$Q F S, m a x$	500
$η W S$	0.42	$Q W S, m a x$	300
$T o f f$	1	$P m a x$	300
$T o n$	1	$P D$	270
$P C S P, m a x$	300	$P C S P, m i n$	0

表1

图5

图6

图7

表2

图8

表3

图9

图10

表4

表5

参考文献 20

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方案	最大充放能功率 /MW	储热容量 /MWh	储热系统年利润/万元	IRR
CASE1	50	250	475	-12.36%
CASE2	100	500	1727	-3.47%
CASE3	150	750	6171	14.46%
CASE4	200	1000	7891	13.39%
CASE5	250	1250	9486	12.41%
CASE6	300	1500	10856	11.26%
CASE7	350	1750	12008	10.00%
CASE8	400	2000	12975	8.72%
CASE9	450	2250	13764	7.41%
CASE10	500	2500	14394	6.11%

方案	最大充放能功率 /MW	储热容量 /MWh	储热系统年利润/万元	IRR
CASE11	143.6	718	5941	14.597%
CASE12	143.8	719	5947	14.608%
CASE13	144.0	720	5961	14.624%
CASE14	144.2	721	5969	14.622%
CASE15	144.4	722	5972	14.596%

方案	最大充放能功率 /MW	储热容量 /MWh	储热系统年利润 /万元	IRR
CASE16	143.6	718	5770	13.697%
CASE17	143.8	719	5776	13.707%
CASE18	144.0	720	5790	13.722%
CASE19	144.2	721	5798	13.720%
CASE20	144.4	722	5801	13.696%

方案	最大充放能功率 /MW	储热容量 /MWh	储热系统年利润 /万元	IRR
CASE21	143.6	718	5704	13.345%
CASE22	143.8	719	5710	13.356%
CASE23	144.0	720	5724	13.370%
CASE24	144.2	721	5731	13.368%
CASE25	144.4	722	5734	13.345%

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