考虑TCPS考核约束的AGC机组动态优化模型

doi:10.11930/j.issn.1004-9649.202304103

摘要/Abstract

摘要：

近年来电网开始采用控制性能标准变式（transformational control performance standard，TCPS）考核各区域的自动发电控制（automatic generation control，AGC）水平，然而现有研究仅考虑了控制性能标准（control performance standard，CPS）的考核。鉴于此，提出了一种考虑TCPS的AGC机组动态优化模型，该模型以二次调频综合调整费用最小为目标，以系统功率平衡和TCPS考核为约束。针对新模型中TCPS考核约束的分段函数进行线性化，实现了模型的高效求解。基于修改的IEEE算例、工程中的AGC滞后控制策略和CPS标准，仿真验证了模型的有效性。

关键词: 自动发电控制, 动态优化, 滞后控制

Abstract:

In recent years, power grid has begun to use the transformational control performance standard (TCPS) to assess the level of automatic generation control (AGC) in various regions. However, existing researches only consider the assessment of control performance standard (CPS). In view of this, a dynamic optimization model of AGC units considering TCPS is proposed, which takes the minimum comprehensive adjustment cost of secondary frequency regulation as the objective and the system power balance and TCPS assessment as the constraints. The piecewise functions of the TCPS assessment constraints in the new model are linearized to achieve the efficient solution of the model. Based on a modified IEEE example, an AGC hysteresis control strategy in engineering and CPS, the effectiveness of the model is verified through simulation.

Key words: automatic generation control, dynamic optimization, hysteresis control

陈胜, 张洪略, 夏天, 杨雪, 张文军, 颜伟. 考虑TCPS考核约束的AGC机组动态优化模型[J]. 中国电力, 2024, 57(8): 145-151.

Sheng CHEN, Honglue ZHANG, Tian XIA, Xue YANG, Wenjun ZHANG, Wei YAN. Dynamic Optimization Model of AGC Units Considering TCPS Assessment Constraints[J]. Electric Power, 2024, 57(8): 145-151.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202304103

https://www.electricpower.com.cn/CN/Y2024/V57/I8/145

图/表 8

参考文献 31

1	伍凌云, 何笠, 肖雄, 等. 直流系统附加频率控制器对AGC系统控制影响分析[J]. 中国电力, 2021, 54 (8): 68- 74.
	WU Lingyun, HE Li, XIAO Xiong, et al. The influence of UHVDC additional frequency controller on automatic generation control[J]. Electric Power, 2021, 54 (8): 68- 74.
2	胡泽春, 罗浩成. 大规模可再生能源接入背景下自动发电控制研究现状与展望[J]. 电力系统自动化, 2018, 42 (8): 2- 15.
	HU Zechun, LUO Haocheng. Research status and prospect of automatic generation control with integration of large-scale renewable energy[J]. Automation of Electric Power Systems, 2018, 42 (8): 2- 15.
3	IBRAHEEM, KUMAR P, KOTHARI D P. Recent philosophies of automatic generation control strategies in power systems[J]. IEEE Transactions on Power Systems, 2005, 20 (1): 346- 357. DOI
4	颜伟, 赵瑞锋, 赵霞, 等. 自动发电控制中控制策略的研究发展综述[J]. 电力系统保护与控制, 2013, 41 (8): 149- 155.
	YAN Wei, ZHAO Ruifeng, ZHAO Xia, et al. Review on control strategies in automatic generation control[J]. Power System Protection and Control, 2013, 41 (8): 149- 155.
5	刘永奇, 韩福坤. 华北电网自动发电控制综述[J]. 电网技术, 2005, 29 (18): 1- 5.
	LIU Yongqi, HAN Fukun. A survey on automatic generation control system in North China power grid[J]. Power System Technology, 2005, 29 (18): 1- 5.
6	刘梦欣, 王杰, 陈陈. 电力系统频率控制理论与发展[J]. 电工技术学报, 2007, 22 (11): 135- 145.
	LIU Mengxin, WANG Jie, CHEN Chen. Theory and development of power system frequency control[J]. Transactions of China Electrotechnical Society, 2007, 22 (11): 135- 145.
7	胡浩, 仲悟之, 陈艳波, 等. 自动发电控制系统控制及建模仿真综述[J]. 陕西电力, 2014, 42 (9): 62- 67.
	HU Hao, ZHONG Wuzhi, CHEN Yanbo, et al. Research survey on control, modeling, simulation and application of automatic generation control system[J]. Shaanxi Electric Power, 2014, 42 (9): 62- 67.
8	JALEELI N, VANSLYCK L S. NERC’s new control performance standards[J]. IEEE Transactions on Power Systems, 1999, 14 (3): 1092- 1099. DOI
9	汪德星. 华东电网实行CPS标准的探索[J]. 电力系统自动化, 2000, 24 (8): 41- 44.
	WANG Dexing. Study of CPS standards in East China power grid[J]. Automation of Electric Power Systems, 2000, 24 (8): 41- 44.
10	汪德星. 关于CPS应用的学术讨论[J]. 电力系统自动化, 2012, 36 (15): 73- 77.
	WANG Dexing. Academic discussions on CPS application[J]. Automation of Electric Power Systems, 2012, 36 (15): 73- 77.
11	巴宇, 刘娆, 李卫东. CPS及其考核在北美与国内的应用比较[J]. 电力系统自动化, 2012, 36 (15): 63- 72.
	BA Yu, LIU Rao, LI Weidong. Comparison of CPS and its assessment between North America and China[J]. Automation of Electric Power Systems, 2012, 36 (15): 63- 72.
12	赵霞, 叶晓斌, 杨仑, 等. 网省两级AGC机组协调调度的二层规划模型[J]. 电工技术学报, 2018, 33 (20): 4876- 4887.
	ZHAO Xia, YE Xiaobin, YANG Lun, et al. A bi-level programming model for coordinated dispatch of AGC units in regional and provincial power grids[J]. Transactions of China Electrotechnical Society, 2018, 33 (20): 4876- 4887.
13	王鹤, 丁晨, 范高锋, 等. 基于AGC调频分区控制的光储联合系统参与市场投标策略[J]. 电力系统保护与控制, 2023, 51 (2): 121- 131.
	WANG He, DING Chen, FAN Gaofeng, et al. Photovoltaic and storage system participating in the electricity market based on AGC zoning control[J]. Power System Protection and Control, 2023, 51 (2): 121- 131.
14	张荣荣. CPS标准下新能源电力系统AGC机组动态优化调度的改进模型[D]. 重庆: 重庆大学, 2016.
	ZHANG Rongrong. The improved dynamic optimization models for AGC generators dispatch in a power system with renewable energies under CPS[D]. Chongqing: Chongqing University, 2016.
15	赵霞, 叶晓斌, 杨仑, 等. CPS标准下AGC机组动态优化调度的改进方法[J]. 电力系统及其自动化学报, 2019, 31 (10): 31- 36.
	ZHAO Xia, YE Xiaobin, YANG Lun, et al. Improved method for dynamic optimal dispatch of AGC units under CPS[J]. Proceedings of the CSU-EPSA, 2019, 31 (10): 31- 36.
16	王念, 张靖, 李博文, 等. 自动发电控制研究综述[J]. 电测与仪表, 2020, 57 (21): 1- 8.
	WANG Nian, ZHANG Jing, LI Bowen, et al. Research review of automatic generation control[J]. Electrical Measurement & Instrumentation, 2020, 57 (21): 1- 8.
17	ELGERD O I, FOSHA C E. Optimum megawatt-frequency control of multiarea electric energy systems[J]. IEEE Transactions on Power Apparatus and Systems, 1970, 89 (4): 556- 563. DOI
18	李继平. 大型水电厂自动发电控制系统负荷分配策略研究[J]. 水电站机电技术, 2023, 46 (1): 117- 120.
	LI Jiping. Study on load distribution strategy of automatic generation control system of large hydropower plant[J]. Mechanical & Electrical Technique of Hydropower Station, 2023, 46 (1): 117- 120.
19	陈铭, 刘娆, 吕泉, 等. AGC机组分群控制策略[J]. 电网技术, 2013, 37 (3): 868- 873.
	CHEN Ming, LIU Rao, LÜ Quan, et al. A grouping control strategy for AGC units[J]. Power System Technology, 2013, 37 (3): 868- 873.
20	杨海晶, 饶宇飞, 李朝晖, 等. 基于随机模拟和EMD的含风光电力系统AGC调频储能定容[J]. 电力科学与技术学报, 2022, 37 (5): 58- 65.
	YANG Haijing, RAO Yufei, LI Zhaohui, et al. Energy storage capacity determination for AGC frequency modulation in the power system with wind and photovoltaic power based on the stochastic simulation and EMD[J]. Journal of Electric Power Science and Technology, 2022, 37 (5): 58- 65.
21	赵霞, 张荣荣, 赵瑞锋, 等. CPS标准下AGC机组动态优化调度的改进模型[J]. 电工技术学报, 2016, 31 (5): 99- 106. DOI
	ZHAO Xia, ZHANG Rongrong, ZHAO Ruifeng, et al. An extended dynamic optimization model for AGC generators dispatch under CPS[J]. Transactions of China Electrotechnical Society, 2016, 31 (5): 99- 106. DOI
22	YAN W, ZHAO R F, ZHAO X, et al. Dynamic optimization model of AGC strategy under CPS for interconnected power system[J]. International Review of Electrical Engineering, 2012, 7 (5): 5733- 5743.
23	赵霞, 梁钰, 孙名轶, 等. AGC机组动态优化调度模型的凸松弛及其双层迭代算法[J]. 电力系统自动化, 2022, 46 (17): 228- 238.
	ZHAO Xia, LIANG Yu, SUN Mingyi, et al. Convex relaxation and bi-level iterative algorithm for dynamic optimal dispatch model of automatic generation control units[J]. Automation of Electric Power Systems, 2022, 46 (17): 228- 238.
24	廖小兵, 刘开培, 乐健, 等. 基于双层模型预测结构的跨区域AGC机组协同控制策略[J]. 中国电机工程学报, 2019, 39 (16): 4674- 4685.
	LIAO Xiaobing, LIU Kaipei, LE Jian, et al. Coordinated control strategy for AGC units across areas based on Bi-level model predictive control[J]. Proceedings of the CSEE, 2019, 39 (16): 4674- 4685.
25	谭鸣骢, 王玲玲, 蒋传文, 等. 考虑负荷聚合商调节潜力的需求响应双层优化模型[J]. 中国电力, 2022, 55 (10): 32- 44.
	TAN Mingcong, WANG Lingling, JIANG Chuanwen, et al. bi-level optimization model of demand response considering regulation potential of load aggregator[J]. Electric Power, 2022, 55 (10): 32- 44.
26	王钦, 陈业夫, 蔡新雷, 等. 考虑柔性负荷和阶梯型碳交易的低碳经济优化调度策略[J]. 广东电力, 2024, 37 (1): 76- 85.
	WANG Qin, CHEN Yefu, CAI Xinlei, et al. Optimization scheduling strategy for low-carbon economy considering flexible loads and tiered carbon trading[J]. Guangdong Electric Power, 2024, 37 (1): 76- 85.
27	李吉峰, 唐克, 王孜航, 等. 计及多源互补特性的新型电力系统分布式电源承载能力评估[J]. 东北电力大学学报, 2023, 43 (1): 62- 68.
	LI Jifeng, TANG Ke, WANG Zihang, et al. Assessment of distributed power generations bearing capacity of modern power systems with multi-sources complementary characteristics[J]. Journal of Northeast Electric Power University, 2023, 43 (1): 62- 68.
28	郝伟韬, 蔡国田, 卢俊曈, 等. 源网荷储互动减碳研究综述[J]. 广东电力, 2023, 36 (11): 64- 74.
	HAO Weitao, CAI Guotian, LU Juntong, et al. Review of source-grid-load-storage interactive carbon reduction research[J]. Guangdong Electric Power, 2023, 36 (11): 64- 74.
29	王皓怀, 邓韦斯, 戴仲覆, 等. 面向新能源功率多时空尺度精确预测的机制创新与平台建设探索[J]. 南方电网技术, 2023, 17 (2): 3- 10.
	WANG Haohuai, DENG Weisi, DAI Zhongfu, et al. Mechanism innovation and platform construction for accurate prediction of new energy power at multiple temporal and spatial scales[J]. Southern Power System Technology, 2023, 17 (2): 3- 10.
30	王鹤霏, 蔡国伟, 吴同, 等. 基于供用能双侧多主体博弈互动的综合能源系统优化调度策略[J]. 东北电力大学学报, 2024, 44 (1): 83- 93.
	WANG Hefei, CAI Guowei, WU Tong, et al. Optimization and scheduling strategy for comprehensive energy systems based on bilateral multi-agent game interaction between energy supply and demand[J]. Journal of Northeast Electric Power University, 2024, 44 (1): 83- 93.
31	陈宋宋, 张路涛, 周颖, 等. 面向新能源并网的分布式AGC协同算法[J]. 南方电网技术, 2023, 17 (4): 58- 68.
	CHEN Songsong, ZHANG Lutao, ZHOU Ying, et al. Distributed AGC cooperative algorithm for new energy grid connection[J]. Southern Power System Technology, 2023, 17 (4): 58- 68.

机组编号	机组类型	初始出力/MW	爬坡速率/ (MW·min^–1)	最小持续爬坡时间/min	计划电量调整费用系数/(元·(MW·min)^–1)	爬坡里程费用系数/ (元·(MW·min)^–1)	机组单位调节功率/(MW·Hz^–1)	最大出力/MW	最小出力/MW
1	AGC	266.8	10~30	4	8.33	8.33	20	500	100
2	AGC	120.0	10~50	2	4.17	4.17	25	500	100
3	AGC	168.0	10~30	3	8.33	8.33	20	500	100
4	非AGC	175.3	—	—	—	—	20	—	—
5	非AGC	200.5	—	—	—	—	20	—	—

机组编号	机组类型	初始出力/MW	爬坡速率/ (MW·min^–1)	最小持续爬坡时间/min	计划电量调整费用系数/(元·(MW·min)^–1)	爬坡里程费用系数/ (元·(MW·min)^–1)	机组单位调节功率/(MW·Hz^–1)	最大出力/MW	最小出力/MW
1	AGC	266.8	10~30	4	8.33	8.33	20	500	100
2	AGC	120.0	10~50	2	4.17	4.17	25	500	100
3	AGC	168.0	10~30	3	8.33	8.33	20	500	100
4	非AGC	175.3	—	—	—	—	20	—	—
5	非AGC	200.5	—	—	—	—	20	—	—

控制区域频率偏差系数/ (MW·(0.1 Hz)^–1)	互联电网频率偏差系数/ (MW·(0.1 Hz)^–1)	1分钟频率控制目标/Hz	15分钟频率控制目标/Hz
15.4 375	92.625	0.019 473	0.024 039

系统频率偏差上下限/Hz	联络线功率偏差上下限/MW	控制区域负荷单位调节功率/ (MW·Hz^–1)	互联电网单位调节功率/ (MW·Hz^–1)
±0.2	±2	1.5	120

控制区域频率偏差系数/ (MW·(0.1 Hz)^–1)	互联电网频率偏差系数/ (MW·(0.1 Hz)^–1)	1分钟频率控制目标/Hz	15分钟频率控制目标/Hz
15.4 375	92.625	0.019 473	0.024 039

系统频率偏差上下限/Hz	联络线功率偏差上下限/MW	控制区域负荷单位调节功率/ (MW·Hz^–1)	互联电网单位调节功率/ (MW·Hz^–1)
±0.2	±2	1.5	120

预测负荷波动量/%	TCPS考核结果		二次调频综合调整费用
预测负荷波动量/%	滞后控制策略	本文模型	滞后控制策略/元	本文模型/元	费用优化量/%
–5	不通过	通过	4020	1904	111
–4	不通过	通过	6323	2172	191
–3	通过	通过	6352	2596	145
–2	不通过	通过	3288	3119	5
–1	不通过	通过	4876	3619	35
0	通过	通过	4884	3992	22
+1	通过	通过	6079	4602	32
+2	通过	通过	6557	5209	26
+3	通过	通过	7035	5725	23
+4	通过	通过	7513	6240	20
+5	通过	通过	8018	6755	19