Optimization method for island and reef hybrid power generation systems' power capacity based on adaptive ant colony algorithm

Table 1. Relationship between discharge depth and battery life
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Table 1. Relationship between discharge depth and battery life
放电深度D/% 充放电循环次数
100 200
80 350
50 700
20 1 200

Table 2. Key parameters of wind turbines
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Table 2. Key parameters of wind turbines
参数数值
额定功率/kW 20
额定风速/(m∙s⁻¹) 12
安全风速/(m∙s⁻¹) 45
启动风速/(m∙s⁻¹) 3
购买成本/元 68 500

Table 3. Key parameters of photovoltaic cells
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Table 3. Key parameters of photovoltaic cells
参数数值
额定功率/W 100
开路电压/V 21.4
最大允许电流/A 6.08
转换效率/% 21
购买成本/元 13

Table 4. Key parameters of battery
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Table 4. Key parameters of battery
参数数值
额定容量/Ah 200
额定电压/V 12
放电深度D/% 80
能量转换效率/% 85
购买成本/元 1 300

Table 5. Optimization results of two schemes

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Table 5. Optimization results of two schemes

参数	运行方案
参数	循环充电	负荷跟踪
$ {N}_{\mathrm{W}\mathrm{T}}/\mathrm{个} $	3	4
$ {N}_{\mathrm{B}\mathrm{A}\mathrm{T}}/\mathrm{个} $	35	47
$ {N}_{\mathrm{P}\mathrm{V}}/\mathrm{个} $	249	395
柴油机工作时长/h	519	319
年均化成本/元	276 471	358 450

Table 6. Optimization results of three algorithms

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Table 6. Optimization results of three algorithms

参数	自适应蚁群算法	改进灰狼算法	人工蜂群算法
$ {N}_{\mathrm{W}\mathrm{T}}/\mathrm{个} $	3	4	6
$ {N}_{\mathrm{B}\mathrm{A}\mathrm{T}}/\mathrm{个} $	35	28	42
$ {N}_{\mathrm{P}\mathrm{V}}/\mathrm{个} $	249	323	487
环境成本/元	3 791	4 192	3 473
年均化成本/元	276 457	318 791	451 880

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Weibo LI, Zhiming PENG, Hao ZHANG, Maojie ZHANG, Hualiang FANG. Optimization method for island and reef hybrid power generation systems' power capacity based on adaptive ant colony algorithm[J]. Chinese Journal of Ship Research, 2024, 19(4): 139

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