脉冲负载下柴油发电机组建模优化与评价

师萌; 杨艺斌; 杨定富; 黄克峰; 何凯; 吴振

doi:10.11884/HPLPB202436.230342

脉冲负载下柴油发电机组建模优化与评价

doi: 10.11884/HPLPB202436.230342

师萌^1,,
杨艺斌²,
杨定富¹,
黄克峰^3, ,,
何凯¹,
吴振¹

1.
32214部队，南京 211113
2.
96784部队，河南洛阳 471300
3.
陆军工程大学国防工程学院，南京 210007

详细信息

作者简介:
师　萌，melbershi@163.com

通讯作者:
黄克峰，18222893932@163.com。

中图分类号: TM76
计量
- 文章访问数: 23
- HTML全文浏览量: 11
- PDF下载量: 1
- 被引次数: 0
出版历程
- 收稿日期: 2023-10-07
- 修回日期: 2024-02-08
- 录用日期: 2024-03-15
- 网络出版日期: 2024-04-22
- 刊出日期: 2024-04-28

Optimization and evaluation of simulation model for diesel generator set with pulse load

1.
Unit 32214 of PLA, Nanjing 211113, China
2.
Unit 96784 of PLA, Luoyang 471300, China
3.
College of Defense Engineering, Army Engineering University, Nanjing 210007, China

摘要

摘要: 针对柴油发电机组-三相不控整流器-DC/DC变换器-脉冲负载系统中柴油发电机组的输出特性，提出仿真模型与试验电源输出电压（流）波形契合度的评价指标，以判断模型的仿真程度；提出了基于反向（BP)传播神经网络算法的同步发电机励磁电压输出动态限幅方法，应用于脉冲负载下柴油发电机组的模型优化。试验验证表明：27组算例中，初始仿真模型有18组波形实时契合度值不足90%，优化仿真模型27组值均大于90%。说明本文提出的优化方法使仿真模型比初始模型更加有效，可应用于后续柴油发电机组带脉冲负载系统的研究。
- 模型优化 /
- 脉冲负载 /
- 反向传播神经网络算法 /
- 波形实时契合度 /
- 动态限幅方法
Abstract: Aiming at the output characteristics of diesel generator set with pulse load, an index is proposed to evaluate the consistency of output voltage (current) waveform to judge the simulation degree of the model. Also, a dynamic limiting method for synchronous generator excitation voltage output based on BP neural network algorithm is proposed, which is applied to the model optimization of diesel generator set. Experimental results show that 18 groups of real-time waveform proximity of waveforms are less than 90% among the 27sets of examples, but the optimized simulation model become better because all the test groups are higher than 90%, indicating that the optimized simulation model is more effective, and can be applied to the further research on diesel generator set with pulse load.
- model optimization /
- pulse load /
- back propagation neural network algorithm /
- real-time waveform proximity /
- dynamic limiting method

HTML全文

图 1 DGS-PL系统结构拓扑图

Figure 1. structure topology of DGS-PL system

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图 2 MATLAB/Simulink平台DGS-PL系统初始仿真模型

Figure 2. initial simulation model of DGS-PL system

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图 3 初始仿真模型电源输出电压波形与试验波形对比图

Figure 3. Comparison of AC output voltage waveform between initial simulation and test

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图 4 初始仿真模型电源输出电流波形与试验波形对比图

Figure 4. Comparison of AC output current waveform between initial simulation and test

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图 5 初始仿真模型电源输出频率与试验对比图

Figure 5. Comparison of AC frequency between initial simulation and test

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图 6 仿真模型电源输出电压波形与试验波形

Figure 6. AC output voltage waveforms of initial simulation and test

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图 7 采样点5000～5500区间的波形u_e与u_s

Figure 7. Waveforms of sample point 5000 to 5500 of u_e and u_s

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图 8 励磁参考电压限值的柴油发电机组仿真模型

Figure 8. Simulation model of diesel generator set with limiting reference excitation voltage

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图 9 BP神经网络拓扑结构

Figure 9. The topology of the BP neural network

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图 10 初始仿真模型、优化仿真模型及试验电源输出电压波形对比图

Figure 10. Comparison waveforms of initial simulation, optimized simulation and test

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表 1 初始仿真模型电源输出电压RWP值

Table 1. RWP values of AC output voltage of initial simulation

Group	P_k/kW	D/%	T_s/ms	R/%	Group	P_k/kW	D/%	T_s/ms	R/%	Group	P_k/kW	D/%	T_s/ms	R/%
1	15	10	20	89.93	10	30	10	20	86.81	19	50	10	20	85.71
2	15	10	40	91.09	11	30	10	40	89.65	20	50	10	40	89.39
3	15	10	80	88.58	12	30	10	80	89.77	21	50	10	80	88.60
4	15	50	20	90.06	13	30	50	20	89.59	22	50	50	20	87.69
5	15	50	40	95.02	14	30	50	40	93.40	23	50	50	40	93.31
6	15	50	80	92.88	15	30	50	80	92.22	24	50	50	80	91.85
7	15	90	20	89.99	16	30	90	20	84.24	25	50	90	20	82.74
8	15	90	40	90.70	17	30	90	40	85.49	26	50	90	40	85.57
9	15	90	80	86.45	18	30	90	80	84.75	27	50	90	80	86.30

下载: 导出CSV

表 2 BP神经网络参数辨识的学习样本

Table 2. Learning samples for BP neural network parameter recognition

Group	P_k/kW	D/%	T_s/ms	Input			Output
Group	P_k/kW	D/%	T_s/ms	I_pk/A	U_ac/V	$\bar f $/Hz	H/V	L/V
1	30	50	2	34.91	251.73	49.27	4.20	4.00
2	30	50	10	35.06	250.69	48.93	4.20	4.00
3	30	50	20	34.83	250.37	49.11	4.20	4.00
……
36	40	85	56	35.71	250.26	49.21	5.00	4.50
37	40	90	56	34.02	251.78	48.68	6.00	4.60
38	50	40	56	35.01	250.19	48.99	6.00	4.00
……
63	15	10	80	35.24	250.23	48.93	4.00	3.70
64	15	10	90	36.58	249.96	48.78	4.00	3.65
65	15	10	100	37.05	249.88	49.02	4.00	3.65

下载: 导出CSV

表 3 优化仿真模型电源输出电压RWP值

Table 3. RWP values of AC output voltage of optimized simulation

Group	P_k/kW	D/%	T_s/ms	RWP/%	Group	P_k/kW	D/%	T_s/ms	RWP/%	Group	P_k/kW	D/%	T_s/ms	RWP/%
1	15	10	20	96.73	10	30	10	20	94.17	19	50	10	20	92.59
2	15	10	40	99.14	11	30	10	40	97.91	20	50	10	40	94.37
3	15	10	80	97.44	12	30	10	80	96.37	21	50	10	80	94.6
4	15	50	20	97.01	13	30	50	20	97.72	22	50	50	20	93.11
5	15	50	40	97.7	14	30	50	40	98.87	23	50	50	40	94.93
6	15	50	80	96.69	15	30	50	80	97.90	24	50	50	80	94.48
7	15	90	20	95.88	16	30	90	20	96.18	25	50	90	20	91.4
8	15	90	40	95.42	17	30	90	40	95.69	26	50	90	40	92.37
9	15	90	80	96.39	18	30	90	80	93.83	27	50	90	80	90.82

下载: 导出CSV

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