Fuzzy Predictive Control Strategy for Low-carbon Flexible Operation of Supercritical Unit

被引：0

作者：

Gong L. ^{[1
]}

Hou G. ^{[1
]}

Hu B. ^{[2
]}

Huang T. ^{[1
]}

Huang C. ^{[1
]}

Zhou G. ^{[2
]}

Zhang J. ^{[1
]}

机构：

[1] School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing

[2] State Grid Liaoning Electric Power Company Ltd., Liaoning Province, Shenyang

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2023年 / 43卷 / 03期

关键词：

energy saving and emission reduction; fuzzy generalized predictive control; fuzzy selection; low-carbon flexible operation; supercritical unit;

D O I：

10.13334/j.0258-8013.pcsee.212556

中图分类号：

学科分类号：

摘要：

In order to realize the low-carbon flexible operation of supercritical units under the goal of “peaking carbon dioxide emission and achieving carbon neutrality”, a fuzzy generalized predictive control strategy considering the flexibility, economy and environmental protection is proposed. Based on the prediction model of supercritical unit under peak shaving demand, a comprehensive rolling optimization objective including general control objectives and emission reduction requirements is constructed. Then, the fuzzy selection is used to determine the weighting coefficients of each sub-objective in the objective function to eliminate the influence of parameter uncertainty. In the fuzzy rules defined for coefficient selection, tracking error and carbon emission increment are taken as input variables while the weighting coefficients are deemed as output variables. Next, the optimal control law is obtained through coordination of the prediction model, feedback correction and the designed rolling optimization. Finally, the effectiveness of the proposed control strategy is verified using the on-site data of a 600MW supercritical unit in Dalian, China. The proposed method reveals its superiority in fast load regulation, disturbance rejection, energy conservation and emission reduction. ©2023 Chin.Soc.for Elec.Eng.

引用

页码：1048 / 1059

页数：11

共 24 条

[1] Zheng LI, CHEN Siyuan, DONG Wenjuan, Low carbon transition pathway of power sector under carbon emission constraints[J], Proceedings of the CSEE, 41, 12, pp. 3987-4000, (2021)
[2] CHEN Guoping, DONG Yu, LIANG Zhifeng, Analysis and reflection on high-quality development of new energy with Chinese characteristics in energy transition[J], Proceedings of the CSEE, 40, 17, pp. 5493-5505, (2020)
[3] Xin LI, Xian WU, GUI De, Power system planning based on CSP-CHP system to integrate variable renewable energy[J], Energy, 232, (2021)
[4] SEMSHCHIKOV E, NEGNEVITSKY M, HAMILTON J, Cost-efficient strategy for high renewable energy penetration in isolated power systems[J], IEEE Transactions on Power Systems, 35, 5, pp. 3719-3728, (2020)
[5] BOZA P，, EVGENIOU T．, Artificial intelligence to support the integration of variable renewable energy sources to the power system[J], Applied Energy, 290, (2021)
[6] NEETZOW P．, The effects of power system flexibility on the efficient transition to renewable generation[J], Applied Energy, 283, (2021)
[7] LIU Jizhen, ZENG Deliang, TIAN Liang, Control strategy for operating flexibility of coal-fired power plants in alternate electrical power systems[J], Proceedings of the CSEE, 35, 21, pp. 5385-5394, (2015)
[8] WANG Yongcan, Suhua LOU, Yaowu WU, Flexible operation of retrofitted coal-fired power plants to reduce wind curtailment considering thermal energy storage[J], IEEE Transactions on Power Systems, 35, 2, pp. 1178-1187, (2020)
[9] CHEN Haipeng, Lin GAO, ZHANG Zhong, Multi-objective optimal scheduling of a microgrid with uncertainties of renewable power generation considering user satisfaction[J], International Journal of Electrical Power & Energy Systems, 131, (2021)
[10] Zhu WANG, Ming LIU, YAN Junjie, Flexibility and efficiency co-enhancement of thermal power plant by control strategy improvement considering time varying and detailed boiler heat storage characteristics[J], Energy, 232, (2021)

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