Unit Commitment Optimization Model Considering Impact of Multiple Operating Conditions on Unit Life Loss

doi:10.16183/j.cnki.jsjtu.2023.401

Abstract

Abstract:

Thermal power units face a dilemma of accelerated lifespan degradation and extended service duration. On one hand, large-scale integration of new energy sources has increased peak shaving conditions and accelerated losses of the units. On the other hand, service units will reach designed lifespan before carbon neutrality is achieved, while flexible operation of the power system necessitates extending their service life of units. Therefore, it is of great significance to consider the losses caused by varicus operating conditions on the lifespan of the unit and optimize the operating structure of the unit in scheduling simulation for unit longevity and carbon reduction efforts. To make unit life losses in theoretical research more practical, the traditional model that averages the losses in deep peak shaving conditions has been discarded. Instead, new judgment criteria for conventional and various special operating conditions of thermal power units are established. The lifespan loss cost of the unit is integrated into the operating objective function and the corresponding constraint conditions are modified. Finally, a unit commitment model considering the multi-operating condition lifespan losses of thermal power units is constructed. Example simulations indicate that the conventional model underestimates the actual loss cost of the units. In constrast, the proposed model can not only reduce the operating cost and unit life loss by considering the lifespan impacts of multi-operating conditions, but also enhance the peak shaving capacity of thermal power units and promote wind power consumption.

Key words: thermal power unit, operation loss, unit commitment, lifespan degradation, service duration

CLC Number:

TM744

LUO Yifu, HU Qinran, QIAN Tao, CHEN Tao, ZHANG Yuanshi, ZHANG Fei, WANG Qi. Unit Commitment Optimization Model Considering Impact of Multiple Operating Conditions on Unit Life Loss[J]. Journal of Shanghai Jiao Tong University, 2025, 59(6): 768-779.

Figures/Tables 15

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运行方式	损耗率/%	累计运行次数	寿命损耗累积/%
冷态启动	0.150 00	100	15
停机2 d后启动	0.010 00	500	5
停机8 h后启动	0.010 00	2 000	20
停机2 h后启动	0.050 00	100	5
大幅度变负荷	0.010 00	3 000	30
小幅度变负荷	0.000 25	20 000	5

机组编号	购机成本/ 万元	装机容量/ MW	常规最小出力/MW	最大深调峰/MW	最大爬坡率/ (%·min^-1)	日最大启停次数	发电耗量系数
机组编号	购机成本/ 万元	装机容量/ MW	常规最小出力/MW	最大深调峰/MW	最大爬坡率/ (%·min^-1)	日最大启停次数	a/(元·MW^-2)	b/(元·MW^-1)	c/元
1、2	17250	1000	480	300	5	2	6.76	175.35	12830
3、4	10068	350	160	140	3	2	30.38	182.50	5843

季节	模型	成本/ 万元	弃风电量/ (MW·h)	折算电价/ [元·(kW·h)^-1]
春季	A	745.7	171.6	0.223
	B	743.4	115.7	0.222
	C	746.4	171.6	0.223
夏季	A	1 191.1	190.2	0.263
	B	1 174.9	4.8	0.259
	C	1 250.5	190.2	0.276

模型	成本/ 万元	弃风电量/ (MW·h)	折算电价/[元· (kW·h)^-1]	1000 MW/350 MW 机型寿命损耗/%
A	10 609.9	2 189.4	0.267	0.30/0.51
B	8 979.5	879.9	0.226	0.18/0.49
C	11 003.6	2 189.4	0.277	0.30/0.51

模型	成本/ 万元	弃风电量/ (MW·h)	折算电价/[元· (kW·h)^-1]	1000 MW/350 MW 机型寿命损耗/%
A	16 602.7	1 273.1	0.285	0.89/0.91
B	15 892.4	237.6	0.273	0.49/0.45
C	16 263.7	1 273.1	0.279	0.89/0.91