计及设备变工况能效非线性的综合能源系统精细化协同优化运行方法

doi:10.3969/j.issn.2097-0706.2023.10.001

综合智慧能源 ›› 2023, Vol. 45 ›› Issue (10): 1-9.doi: 10.3969/j.issn.2097-0706.2023.10.001

• 优化与运行控制 • 下一篇

计及设备变工况能效非线性的综合能源系统精细化协同优化运行方法

赵慧荣¹(), 李天晨¹(), 周全²(), 彭道刚¹^,^*()

1.上海电力大学自动化工程学院，上海 200090
2.国网浙江省电力有限公司经济技术研究院，杭州 310008

收稿日期:2023-06-16 修回日期:2023-07-11 出版日期:2023-10-25 发布日期:2023-08-17
通讯作者: *彭道刚（1977），男，教授，博士，从事智能发电、智慧能源和能源互联网等方面的研究，pengdaogang@126.com。
作者简介:赵慧荣（1990），女，副教授，博士，从事智能发电、综合能源系统建模、优化及控制等方面的研究，hrzhao@shiep.edu.cn；
李天晨（1997），男，在读硕士研究生，从事能源系统数据驱动建模、仿真与优化控制等方面的研究，2630355591@qq.com；
周全（1983），男，高级工程师，硕士，从事电网规划、能源经济、电网建设项目管理及电力企业碳管理等方面的工作，zhoudennis@163.com。
基金资助:
国家电网有限公司科技项目(5100-2021-19559A-0-5-SF)

Refined collaborative optimized operation of integrated energy systems considering nonlinear energy efficiency of equipment under variable operating conditions

ZHAO Huirong¹(), LI Tianchen¹(), ZHOU Quan²(), PENG Daogang¹^,^*()

1. College of Automation Engineering， Shanghai University of Electric Power，Shanghai 200090， China
2. Economic and Technological Research Institute， State Grid Zhejiang Electric Power Company Limited， Hangzhou 310008， China

Received:2023-06-16 Revised:2023-07-11 Online:2023-10-25 Published:2023-08-17
Supported by:
Science and Technology Project of State Grid Corporation of ChinaFoundation(5100-2021-19559A-0-5-SF)

摘要/Abstract

摘要：

含冷热电气多能源耦合的综合能源系统涉及能源转换设备、能源运输设备等，这些设备具有非线性变工况特性，易导致较大的供需匹配偏差，需优化分配多台同种设备变工况运行时出力。为此提出了计及设备变工况能效非线性的综合能源系统精细化协同优化运行方法。建立系统内各类设备非线性变工况运行特性的协同优化运行架构，对非线性变工况设备运行特性曲线进行分段线性化处理；增加泵的能耗计算与管道流量平衡约束等，以提高综合能源系统的供需平衡与运行可靠性；以日运行成本最小为优化目标，建立优化配置模型。以某综合能源系统为例，设计多个场景进行仿真验证，仿真结果表明，考虑多台同种设备变工况特性可有效降低系统运行成本，减小供需偏差。

关键词: 综合能源系统, 多能源耦合, 非线性变工况, 供需平衡, 优化调度, 出力分配

Abstract:

Multiple energies including electricity， heat， cold and gas are coupled in the integrated energy system（IES）. Energy conversion equipment and energy transportation equipment installed in the system feature nonlinear operation under variable conditions， leading to the magnificent gap between supply and demand. And the output allocation among multiple units of the same type is uneven under variable operating conditions. Therefore， a refined collaborative optimization method for the IES considering the non-linearity of equipment under variable operating conditions is proposed. Firstly， the cooperative optimized operation architectures for different types of units under nonlinear operation and variable working conditions are constructed. Then， nonlinear operation curves of the units under variable conditions are segmented and linearized. Taking the energy consumption of pumps and pipeline flow balance constraint into consideration can improve the supply-demand balance and the reliability of the IES. The optimization scheduling model takes the minimum daily operating cost as the optimization goal. The model is simulated on a IES under multiple scenarios. The simulation results show that considering the non-linear operation characteristic of different units of the same type under variable working conditions can effectively reduce the operating cost and supply-demand gap of power systems.

Key words: IES, muti-energy coupling, non-line variable working condition, supply-demand balance, optimized scheduling, output allocation

中图分类号:

TK019：TM721

赵慧荣, 李天晨, 周全, 彭道刚. 计及设备变工况能效非线性的综合能源系统精细化协同优化运行方法[J]. 综合智慧能源, 2023, 45(10): 1-9.

ZHAO Huirong, LI Tianchen, ZHOU Quan, PENG Daogang. Refined collaborative optimized operation of integrated energy systems considering nonlinear energy efficiency of equipment under variable operating conditions[J]. Integrated Intelligent Energy, 2023, 45(10): 1-9.

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设备	参数	数值
电锅炉	最大制热量/kW 数量/台效率/%	2 200.0 2 93
燃气锅炉	最大制热量/kW 数量/台	3 200.0 2
燃气内燃机	最大发电量/kW 数量/台	1 000.0 2
溴化锂机组	最大制热量/kW 最大制冷量/kW 数量/台	1 200.0 1 250.0 2
双工况冷水机组	最大制冷量/kW 最大制冰量/kW 数量/台	4 220.0 2 778.0 2
电制冷机	最大制冷量/kW 台数	7 500.0 2
蓄冰盘管	最大蓄冰量/kW 充、放效率/% 最大充放量/(kW·h)	43 929.6 97 5 600
蓄热罐	最大蓄热量/kW 充、放效率/% 最大充放量/(kW·h)	25 000.0 97 3 200

场景	日运行成本/元			供需匹配偏差/(kW·h^-1)				泵耗电量/（kW·h）
场景	购气成本	购电成本	总成本	电能	热能	冷能	冰能	泵耗电量/（kW·h）
1	75 891.13	82 396.04	158 287.17	7.37	54.54	4.55	0	1 196.5
2	77 456.17	83 425.32	160 878.49	0	514.68	4 632.51	0	1 314.6
3	77 057.46	80 576.41	157 633.87	0.20	28.63	0	0	1 206.4
4	76 998.42	80 887.48	157 885.90	3.51	28.64	0	0	1 250.6

计及设备变工况能效非线性的综合能源系统精细化协同优化运行方法

Refined collaborative optimized operation of integrated energy systems considering nonlinear energy efficiency of equipment under variable operating conditions

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