考虑发电运行弹性空间的风水火联合优化调度与效益评估
|
摘要
随着负荷增长和新能源接入,电网运行的安全裕度逐渐降低。为保证电网安全、经济运行,需要在现有设备基础上,挖掘电网的运行弹性空间,扩大电网运行安全域。为此,提出一种考虑发电运行弹性空间的风水火联合优化调度方法,通过挖掘发电设备的运行空间潜力,评估其产生的经济效益和可再生能源的消纳情况。文中提出两种提高发电运行弹性空间的方式及其建模方法:1)考虑火电机组最小出力的灵活调整,建立火电深度调峰运行弹性空间模型;2)考虑水电机组限制运行区的短时稳定特征,建立水电限制运行区运行弹性空间模型。在此基础上,建立一种考虑发电运行弹性空间的风水火联合优化调度模型。最后通过IEEE 30节点系统与某实际电网数据评估了所提方法的经济效益。仿真表明,该方法相较于常规调度方法可以有效降低电网运行成本,促进可再生能源消纳。
With the increase of power loads and the integration of renewable energy generation, the security region of power grid operation is gradually reduced. To ensure secure and economic operation of power grids, it is necessary to increase flexibility of power grids utilizing existing equipment and expand the operating security region of power grids. Therefore,this paper proposes a combined optimal dispatching method for wind-hydro-thermal system with generating operational flexible space. By increasing the operating flexibility of power equipment, the economic benefit and the consumption of renewable energy are evaluated. To improve power generating operational flexible space, two models and corresponding models are proposed: 1) The operational flexible space model of thermal power unit with deep peak regulation is established,considering the flexible adjustment of the minimum output of thermal power unit; 2) The operational flexible space model of hydropower unit restricted operating zone is established,based on the short-term stability characteristics of hydropower restricted operating zone. Furthermore, a model of combined optimal dispatching for wind-hydro-thermal system with generating operational flexible space is established. Finally,this paper evaluates the benefit of proposed method through the IEEE 30-bus system and a practical grid system. The simulation results show that this method can reduce the operation cost of power grids and improve consumption of renewable energy effectively compared with conventional dispatching method.
With the increase of power loads and the integration of renewable energy generation, the security region of power grid operation is gradually reduced. To ensure secure and economic operation of power grids, it is necessary to increase flexibility of power grids utilizing existing equipment and expand the operating security region of power grids. Therefore,this paper proposes a combined optimal dispatching method for wind-hydro-thermal system with generating operational flexible space. By increasing the operating flexibility of power equipment, the economic benefit and the consumption of renewable energy are evaluated. To improve power generating operational flexible space, two models and corresponding models are proposed: 1) The operational flexible space model of thermal power unit with deep peak regulation is established,considering the flexible adjustment of the minimum output of thermal power unit; 2) The operational flexible space model of hydropower unit restricted operating zone is established,based on the short-term stability characteristics of hydropower restricted operating zone. Furthermore, a model of combined optimal dispatching for wind-hydro-thermal system with generating operational flexible space is established. Finally,this paper evaluates the benefit of proposed method through the IEEE 30-bus system and a practical grid system. The simulation results show that this method can reduce the operation cost of power grids and improve consumption of renewable energy effectively compared with conventional dispatching method.
引文
[1]杨明,韩学山,王士柏,等.不确定运行条件下电力系统鲁棒调度的基础研究[J].中国电机工程学报,2011,31(S1):100-107.Yang Ming,Han Xueshan,Wang Shibo,et al.Fundamental research for power system robust dispatch under uncertain operating condition[J].Proceedings of the CSEE,2011,31(S1):100-107(in Chinese).
[2]杨彦,张尧,陈皓勇,等.考虑系统运行不确定性的电力市场均衡模型[J].电网技术,2012,36(7):100-105.Yang Yan,Zhang Yao,Chen Haoyong,et al.An electricity market equilibrium model considering uncertainty in power system operation[J].Power System Technology,2012,36(7):100-105(in Chinese).
[3]Abbey C,Joos G.Supercapacitor energy storage for wind energy applications[J].IEEE Transactions on Industry Applications,2007,43(3):769-776.
[4]Lv X,Weng Y,Ding X,et al.Technological development of multi-energy complementary system based on solar PVs and MGT[J].Frontiers in Energy,2018,12(4):509-517.
[5]Daryanian B,Bohn R E,Tabors R D.Optimal demand-side response to electricity spot prices for storage-type customers[J].IEEE Transactions on Power Systems,2002,4(3):897-903.
[6]刘林虎,金黎明,夏清,等.电力系统输电运行弹性空间建模与效益评估[J].电力系统自动化,2019,43(5):7-13.Liu Linhu,Jin Liming,Xia Qing,et al.Modelling and benefit evaluation of flexible space of transmission operation in power system[J].Automation of Electric Power Systems,2019,43(5):7-13(in Chinese).
[7]邢振中.火力发电机组深度调峰技术研究[D].华北电力大学,2013.
[8]沈利,徐书德,关键,等.超临界大容量火电机组深度调峰对燃煤锅炉的影响[J].发电设备,2016,30(1):21-23.Shen Li,Xu Shude,Guan Jian,et al.Effects of deep participation in peak regulation on the coal-fired boiler of a supercritical high-capacity thermal power unit[J].Power Equipment,2016,30(1):21-23(in Chinese).
[9]宫晓清.百年电力200 MW锅炉深度调峰技术探讨[J].江苏锅炉,2013,(3):7+13.Gong Xiaoqing.Discussion on deep peak shaving technology of 100 MW electric power 200 MW boiler[J].Jiangsu Boiler,2013,(3):7+13(in Chinese).
[10]张迎喜.660 MW超超临界机组滑参数及深度调峰停机技术[J].工业,2015(24):95-95.Zhang Yingxi.Sliding parameters and depth peaking shutdown technology of 660 MW ultra-supercritical unit[J].Industry,2015(24):95-95(in Chinese).
[11]齐建军,廉俊芳,赵志宏.600 MW火电机组深度调峰能力探讨与经济安全性分析[J].内蒙古电力技术,2013,31(4):51-53.Qi Jianjun,Lian Junfang,Zhao Zhihong.Research on peakload regulation of 600 MW thermal power units and its economic security analysis[J].Inner Mongolia Electric Power,2013,31(4):51-53(in Chinese).
[12]高俊如,侯昭毅,刘启亮,菏泽电厂机组深度调峰经济性研究[J].华东电力,2008,36(8):16-18.Gao Junru,Hou Zhaoyi,Liu Qiliang.Economy analysis of deep participating in peak regulation by units of Heze Power Plant[J].East China Electric Power,2008,36(8):16-18(in Chinese).
[13]林俐,田欣雨.基于火电机组分级深度调峰的电力系统经济调度及效益分析[J].电网技术,2017,41(7):2255-2263.Lin Li,Tian Xinyu.Analysis of deep peak regulation and its benefit of thermal units in power system with large scale wind power integrated[J].Power System Technology,2017,41(7):2255-2263(in Chinese).
[14]林俐,邹兰青,周鹏,等.规模风电并网条件下火电机组深度调峰的多角度经济性分析[J].电力系统自动化,2017,41(7):21-27.Lin Li,Zou Lanqing,Zhou Peng,et al.Multi-angle economic analysis on deep peak regulation of thermal power units with large-scale wind power integration[J].Automation of Electric Power Systems,2017,41(7):21-27(in Chinese).
[15]李文武,郑俊,吴稀西,等.考虑振动区的水电机组组合优化研究[J].水电能源科学,2012(9):122-124.Li Wenwu,Zheng Jun,Wu Xixi,et al.Unit commitment of hydropower station considering vibration zone[J].Water Resources and Power,2012(9):122-124(in Chinese).
[16]李树山,李崇浩,唐红兵,等.多振动区水电站短期调峰负荷分配方法[J].南方电网技术,2015,9(8):77-82.Li Shushan,Li Chonghao,Tang Hongbing,et al.Short-time peak load regulation scheduling for hydropower station with multi-vibration zones[J].Southern Power System Technology,2015,9(8):77-82(in Chinese).
[17]李程煌,常黎,朱斌.水电站安全与经济运行研究及其应用[J].水电与抽水蓄能,2004,28(6):53-56.Li Chenghuang,Chang Li,Zhu Bin.Research and application of safe and economical operation of hydropower station[J].Hydropower and Pumped Storage,2004,28(6):53-56(in Chinese).
[18]Yang Z,Bose A,Zhong H,et al.Optimal reactive power dispatch with accurately modeled discrete control devices:A successive linear approximation approach[J].IEEETransactions on Power Systems,2017,32(3):2435-2444.
[19]Yang Z,Zhong H,Bose A,et al.Optimal power flow in AC-DC grids with discrete control devices[J].IEEE Transactions on Power Systems,2018,33(2):1461-1472.
[20]Yang Z,Zhong H,Xia Q,et al.Fundamental review of the OPFproblem:challenges,solutions,and state-of-the-art algorithms[J].Journal of Energy Engineering,2017,144(1):04017075.
[21]肖曼,汪谦,项川.由H-P曲线计算振动区的单库水电站机组组合问题研究[J].广东电力,2013,26(2):25-29.Xiao Man,Wang Qian,Xiang Chuan.Study on combination of single reservoir hydropower station units based on H-P curve calculation for vibration area[J].Guangdong Electric Power,2013,26(2):25-29(in Chinese).
[22]夏琳,陈启卷.某电厂混流式机组振动区试验及机组运行分区[J].水电能源科学,2015,33(2):172-175.Xia Lin,Chen Qijuan.Vibration zone test and unit operation division of mixed flow unit in a power plant[J].Water Resources and Power,2015,33(2):172-175(in Chinese).
[23]周德建,杨莉,郭义明,等.基于免疫算法的水火电联合调度研究[J].电力系统保护与控制,2012,40(22):32-37.Zhou Dejian,Yang Li,Guo YiMing,et al.Research on hydrothermal coordination scheduling based on immune algorithm[J].Power System Protection&Control,2012,40(22):32-37(in Chinese).
[2]杨彦,张尧,陈皓勇,等.考虑系统运行不确定性的电力市场均衡模型[J].电网技术,2012,36(7):100-105.Yang Yan,Zhang Yao,Chen Haoyong,et al.An electricity market equilibrium model considering uncertainty in power system operation[J].Power System Technology,2012,36(7):100-105(in Chinese).
[3]Abbey C,Joos G.Supercapacitor energy storage for wind energy applications[J].IEEE Transactions on Industry Applications,2007,43(3):769-776.
[4]Lv X,Weng Y,Ding X,et al.Technological development of multi-energy complementary system based on solar PVs and MGT[J].Frontiers in Energy,2018,12(4):509-517.
[5]Daryanian B,Bohn R E,Tabors R D.Optimal demand-side response to electricity spot prices for storage-type customers[J].IEEE Transactions on Power Systems,2002,4(3):897-903.
[6]刘林虎,金黎明,夏清,等.电力系统输电运行弹性空间建模与效益评估[J].电力系统自动化,2019,43(5):7-13.Liu Linhu,Jin Liming,Xia Qing,et al.Modelling and benefit evaluation of flexible space of transmission operation in power system[J].Automation of Electric Power Systems,2019,43(5):7-13(in Chinese).
[7]邢振中.火力发电机组深度调峰技术研究[D].华北电力大学,2013.
[8]沈利,徐书德,关键,等.超临界大容量火电机组深度调峰对燃煤锅炉的影响[J].发电设备,2016,30(1):21-23.Shen Li,Xu Shude,Guan Jian,et al.Effects of deep participation in peak regulation on the coal-fired boiler of a supercritical high-capacity thermal power unit[J].Power Equipment,2016,30(1):21-23(in Chinese).
[9]宫晓清.百年电力200 MW锅炉深度调峰技术探讨[J].江苏锅炉,2013,(3):7+13.Gong Xiaoqing.Discussion on deep peak shaving technology of 100 MW electric power 200 MW boiler[J].Jiangsu Boiler,2013,(3):7+13(in Chinese).
[10]张迎喜.660 MW超超临界机组滑参数及深度调峰停机技术[J].工业,2015(24):95-95.Zhang Yingxi.Sliding parameters and depth peaking shutdown technology of 660 MW ultra-supercritical unit[J].Industry,2015(24):95-95(in Chinese).
[11]齐建军,廉俊芳,赵志宏.600 MW火电机组深度调峰能力探讨与经济安全性分析[J].内蒙古电力技术,2013,31(4):51-53.Qi Jianjun,Lian Junfang,Zhao Zhihong.Research on peakload regulation of 600 MW thermal power units and its economic security analysis[J].Inner Mongolia Electric Power,2013,31(4):51-53(in Chinese).
[12]高俊如,侯昭毅,刘启亮,菏泽电厂机组深度调峰经济性研究[J].华东电力,2008,36(8):16-18.Gao Junru,Hou Zhaoyi,Liu Qiliang.Economy analysis of deep participating in peak regulation by units of Heze Power Plant[J].East China Electric Power,2008,36(8):16-18(in Chinese).
[13]林俐,田欣雨.基于火电机组分级深度调峰的电力系统经济调度及效益分析[J].电网技术,2017,41(7):2255-2263.Lin Li,Tian Xinyu.Analysis of deep peak regulation and its benefit of thermal units in power system with large scale wind power integrated[J].Power System Technology,2017,41(7):2255-2263(in Chinese).
[14]林俐,邹兰青,周鹏,等.规模风电并网条件下火电机组深度调峰的多角度经济性分析[J].电力系统自动化,2017,41(7):21-27.Lin Li,Zou Lanqing,Zhou Peng,et al.Multi-angle economic analysis on deep peak regulation of thermal power units with large-scale wind power integration[J].Automation of Electric Power Systems,2017,41(7):21-27(in Chinese).
[15]李文武,郑俊,吴稀西,等.考虑振动区的水电机组组合优化研究[J].水电能源科学,2012(9):122-124.Li Wenwu,Zheng Jun,Wu Xixi,et al.Unit commitment of hydropower station considering vibration zone[J].Water Resources and Power,2012(9):122-124(in Chinese).
[16]李树山,李崇浩,唐红兵,等.多振动区水电站短期调峰负荷分配方法[J].南方电网技术,2015,9(8):77-82.Li Shushan,Li Chonghao,Tang Hongbing,et al.Short-time peak load regulation scheduling for hydropower station with multi-vibration zones[J].Southern Power System Technology,2015,9(8):77-82(in Chinese).
[17]李程煌,常黎,朱斌.水电站安全与经济运行研究及其应用[J].水电与抽水蓄能,2004,28(6):53-56.Li Chenghuang,Chang Li,Zhu Bin.Research and application of safe and economical operation of hydropower station[J].Hydropower and Pumped Storage,2004,28(6):53-56(in Chinese).
[18]Yang Z,Bose A,Zhong H,et al.Optimal reactive power dispatch with accurately modeled discrete control devices:A successive linear approximation approach[J].IEEETransactions on Power Systems,2017,32(3):2435-2444.
[19]Yang Z,Zhong H,Bose A,et al.Optimal power flow in AC-DC grids with discrete control devices[J].IEEE Transactions on Power Systems,2018,33(2):1461-1472.
[20]Yang Z,Zhong H,Xia Q,et al.Fundamental review of the OPFproblem:challenges,solutions,and state-of-the-art algorithms[J].Journal of Energy Engineering,2017,144(1):04017075.
[21]肖曼,汪谦,项川.由H-P曲线计算振动区的单库水电站机组组合问题研究[J].广东电力,2013,26(2):25-29.Xiao Man,Wang Qian,Xiang Chuan.Study on combination of single reservoir hydropower station units based on H-P curve calculation for vibration area[J].Guangdong Electric Power,2013,26(2):25-29(in Chinese).
[22]夏琳,陈启卷.某电厂混流式机组振动区试验及机组运行分区[J].水电能源科学,2015,33(2):172-175.Xia Lin,Chen Qijuan.Vibration zone test and unit operation division of mixed flow unit in a power plant[J].Water Resources and Power,2015,33(2):172-175(in Chinese).
[23]周德建,杨莉,郭义明,等.基于免疫算法的水火电联合调度研究[J].电力系统保护与控制,2012,40(22):32-37.Zhou Dejian,Yang Li,Guo YiMing,et al.Research on hydrothermal coordination scheduling based on immune algorithm[J].Power System Protection&Control,2012,40(22):32-37(in Chinese).