清洁能源利用最大化的电力系统优化调度

doi:10.3976/j.issn.1002-4026.2021.06.011

Abstract

Abstract:

Considering different types of power output characteristics and the complementarity and contradiction between them, a multiobjective optimal dispatching model is built for a power generation system that includes hydropower, thermal power, wind power, and an energy storage system. The proposed model is characterized by minimal system cost, minimal air pollution emission, and maximal clean energy utilization. A Monte Carlo simulation and a genetic algorithm are combined to validate the effectiveness of the proposed model using an improved 39-node system. Both the hydropower and energy storage system can fulfill their regulatory functions to the greatest extent in different situations, thus stabilizing the fluctuation of wind power, reducing air pollution emission and wind abandonment, and implementing the allocation of various types of energy sources.

Key words: wind power, new energy power, optimal dispatch of power system

CLC Number:

TM614

ZHANG Xin-yu,BU Jing. Optimal power system dispatch to maximize clean energy utilization[J].Shandong Science, 2021, 34(6): 83-90.

Figures/Tables 4

References 15

[1]	刘振亚. 中国电力与能源[M]. 北京: 中国电力出版社, 2012.
	LIU Z Y. Electric power and energy in China[M]. Beijing: China Electric Power Press, 2012.
[2]	舒印彪, 张智刚, 郭剑波, 等. 新能源消纳关键因素分析及解决措施研究[J]. 中国电机工程学报, 2017, 37(1):1-9. DOI: 10.13334/j.0258-8013.pcsee.162555. doi: 10.13334/j.0258-8013.pcsee.162555
	SHU Y B, ZHANG Z G, GUO J B, et al. Study on key factors and solution of renewable energy accommodation[J]. Proceedings of the CSEE, 2017, 37(1):1-9. DOI: 10.13334/j.0258-8013.pcsee.162555. doi: 10.13334/j.0258-8013.pcsee.162555
[3]	刘吉臻. 新能源电力系统建模与控制[M]. 北京: 科学出版社, 2015.
	LIU J Z. Modeling and control of new energy power system[M]. Beijing: Science Press, 2015.
[4]	International Hydropower Association. 2018 Hydropower status report[R/OL]. [2021-02-10]. https://www.hydropower.org/publications/2018-hydropower-status-report.
[5]	董朝阳, 赵俊华, 福拴, 等. 从智能电网到能源互联网:基本概念与研究框架[J]. 电力系统自动化, 2014, 38(15):1-11. DOI: 10.7500/AEPS20140613007. doi: 10.7500/AEPS20140613007
	DONG Z Y, ZHAO J H, FU SHUAN, et al. From smart grid to energy internet: basic concept and research framework[J]. Automation of Electric Power Systems, 2014, 38(15):1-11. DOI: 10.7500/AEPS20140613007. doi: 10.7500/AEPS20140613007
[6]	薛美娟, 杨晓萍, 马啸远. 基于最优潮流理论的风电、梯级水电短期联合优化调度[J]. 水利学报, 2014, 45(3):368-375. DOI: 10.13243/j.cnki.slxb.2014.03.015. doi: 10.13243/j.cnki.slxb.2014.03.015
	XUE M J, YANG X P, MA X Y. The united optimal operation of wind power and cascaded hydropower based on the optimal power flow theory[J]. Journal of Hydraulic Engineering, 2014, 45(3):368-375. DOI: 10.13243/j.cnki.slxb.2014.03.015. doi: 10.13243/j.cnki.slxb.2014.03.015
[7]	葛晓琳, 张粒子, 舒隽. 风水火系统长期优化调度方法[J]. 中国电机工程学报, 2013, 33(34):153-161. DOI: 10.13334/j.0258-8013.pcsee.2013.34.021. doi: 10.13334/j.0258-8013.pcsee.2013.34.021
	GE X L, ZHANG L Z, SHU J. A Long-term optimal scheduling method for Wind-hydro-thermal power systems 122[J]. Proceedings of the CSEE, 2013, 33(34):153-161. DOI: 10.13334/j.0258-8013.pcsee.2013.34.021. doi: 10.13334/j.0258-8013.pcsee.2013.34.021
[8]	甘伟, 艾小猛, 方家琨, 等. 风-火-水-储-气联合优化调度策略[J]. 电工技术学报, 2017, 32(S1):11-20. DOI: 10.19595/j.cnki.1000-6753.tces.L70697. doi: 10.19595/j.cnki.1000-6753.tces.L70697
	GAN W, AI X M, FANG J K, et al. Coordinated optimal operation of the wind, coal, hydro, gas units with energy storage[J]. Transactions of ChinaElectrotechnical Society, 2017, 32(S1):11-20. DOI: 10.19595/j.cnki.1000-6753.tces.L70697. doi: 10.19595/j.cnki.1000-6753.tces.L70697
[9]	陈功贵, 陈金富. 含风电场电力系统环境经济动态调度建模与算法[J]. 中国电机工程学报, 2013, 33(10):27-35. DOI: 10.13334/j.0258-8013.pcsee.2013.10.004. doi: 10.13334/j.0258-8013.pcsee.2013.10.004
	CHEN G G, CHEN J F. Environmental/economic dynamic dispatch modeling and method for power systems integrating wind farms[J]. Proceedings of the CSEE, 2013, 33(10):27-35. DOI: 10.13334/j.0258-8013.pcsee.2013.10.004. doi: 10.13334/j.0258-8013.pcsee.2013.10.004
[10]	MORALES-ESPAÑA G, BALDICK R, GARCÍA-GONZÁLEZ J, et al. Power-capacity and ramp-capability reserves for wind integration in power-based UC[J]. IEEE Transactions on Sustainable Energy, 2016, 7(2):614-624. DOI: 10.1109/TSTE.2015.2498399. doi: 10.1109/TSTE.2015.2498399
[11]	马契. 适用于风速的三参数威布尔分布的参数估计[D]. 北京: 华北电力大学(北京), 2017.
	MA Q. Estimation method of three-parameterweibull distribution applied to wind speed[D]. Beijing: North China Electric Power University, 2017.
[12]	王开艳, 罗先觉, 吴玲, 等. 清洁能源优先的风-水-火电力系统联合优化调度[J]. 中国电机工程学报, 2013, 33(13):27-35. DOI: 10.13334/j.0258-8013.pcsee.2013.13.010. doi: 10.13334/j.0258-8013.pcsee.2013.13.010
	WANG K Y, LUO X J, WU L, et al. Optimal dispatch of wind-hydro-thermal power system with priority given to clean energy[J]. Proceedings of the CSEE, 2013, 33(13):27-35. DOI: 10.13334/j.0258-8013.pcsee.2013.13.010. doi: 10.13334/j.0258-8013.pcsee.2013.13.010
[13]	杨三根, 阮班义, 黎源, 等. 基于风速随机性的风储系统并网优化模型[J]. 供用电, 2021, 38(2):70-76. DOI: 10.19421/j.cnki.1006-6357.2021.02.012. doi: 10.19421/j.cnki.1006-6357.2021.02.012
	YANG S G, RUAN B Y, LI Y, et al. An optimization model for hybrid wind energy storage system based on wind speed probability distribution[J]. Distribution & Utilization, 2021, 38(2):70-76. DOI: 10.19421/j.cnki.1006-6357.2021.02.012. doi: 10.19421/j.cnki.1006-6357.2021.02.012
[14]	NORMAN B A, BEAN J C. A genetic algorithm methodology for complex scheduling problems[J]. Naval Research Logistics, 1999, 46(2):199-211. doi: 10.1002/(ISSN)1520-6750
[15]	胡泽春, 夏睿, 吴林林, 等. 考虑储能参与调频的风储联合运行优化策略[J]. 电网技术, 2016, 40(8):2251-2257. DOI: 10.13335/j.1000-3673.pst.2016.08.001. doi: 10.13335/j.1000-3673.pst.2016.08.001
	HU Z C, XIA R, WU L L, et al. Joint operation optimization of wind-storage union with energy storage participating frequency regulation[J]. Power System Technology, 2016, 40(8):2251-2257. DOI: 10.13335/j.1000-3673.pst.2016.08.001. doi: 10.13335/j.1000-3673.pst.2016.08.001

Optimal power system dispatch to maximize clean energy utilization

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References 15

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