Due to the shortage of fossil energy and the pollution caused by combustion of fossil fuels,the proportion of renewable energy in power systems is gradually increasing across the world.Accordingly,the capacity of powe...Due to the shortage of fossil energy and the pollution caused by combustion of fossil fuels,the proportion of renewable energy in power systems is gradually increasing across the world.Accordingly,the capacity of power systems to accommodate renewable energy must be improved.However,integration of a large amount of renewable energy into power grids may result in network congestion.Hence,in this study,optimal transmission switching(OTS)is considered as an important method of accommodating renewable energy.It is incorporated into the operation of a power grid along with deep peak regulation of thermal power units,forming an interactive mode of coordinated operation of source and network.A stochastic unit commitment model consider!ng deep peak regulation and OTS is established,and the role of OTS in promoting the accommodation of renewable energy is analyzed quantitatively.The results of case studies involving the IEEE 30-bus system demonstrate that OTS can enable utilization of the potential of deep peak regulation and facilitate the accommodation of renewable energy.展开更多
Peak load and wind energy emission pressure rise more as wind energy penetration keeps growing,which affects the stabilization of the PS(power system).This paper suggests integrated optimal dispatching of thermal powe...Peak load and wind energy emission pressure rise more as wind energy penetration keeps growing,which affects the stabilization of the PS(power system).This paper suggests integrated optimal dispatching of thermal power generators and BESS(battery energy storage system)taking wind energy emission grading punishment and deep peak clipping into consideration.Firstly,in order to minimize wind abandonment,a hierarchical wind abandonment penalty strategy based on fuzzy control is designed and introduced,and the optimal grid-connected power of wind energy is determined as a result of minimizing the peak cutting cost of the system.Secondly,considering BESS and thermal power,the management approach of BESS-assisted virtual peak clipping of thermal power generators is aimed at reducing the degree of deep peak clipping of thermal power generators and optimizing the output of thermal power generators and the charging and discharging power of BESS.Finally,Give an example of how this strategy has been effective in reducing abandonment rates by 0.66% and 7.46% individually for different wind penetration programs,and the daily average can reduce the peak clipping power output of thermal power generators by 42.97 and 72.31 MWh and enhances the effect and economy of system peak clipping.展开更多
With the rapid development of the installed capacity of clean energy sources such as wind power, hydropower and photovoltaic, significant changes have taken place in the domestic power structure, and deep peak-shaving...With the rapid development of the installed capacity of clean energy sources such as wind power, hydropower and photovoltaic, significant changes have taken place in the domestic power structure, and deep peak-shaving operation of large thermal power units has become the norm. When the depth of the unit reaches a lower load, the once-through boiler changes from dry to wet operation, and the water separated from the boiler steam-water separator directly enters the condenser or is discharged through the blowdown system, resulting in a large amount of discharge and heat loss. As a result, the operating economy of the unit decreased significantly.展开更多
Existing swirling combustion technology,which relies on faulty coal,is unable to meet deep peak shaving demands without auxiliary methods.This paper developed a deep peak regulation burner(DPRB)to achieve stable combu...Existing swirling combustion technology,which relies on faulty coal,is unable to meet deep peak shaving demands without auxiliary methods.This paper developed a deep peak regulation burner(DPRB)to achieve stable combustion at 15%–30%of the boiler’s rated load without auxiliary support.Gas-particle tests,industrial trials,and transient numerical simulations were conducted to evaluate the burner’s performance.At full rated load,the DPRB formed a central recirculation zone(RZ)with a length of 1.5d and a diameter of 0.58d(where d represents the outlet diameter).At 40%,20%,and 15%rated loads,the RZ became annular,with diameters of 0.30d,0.40d,and 0.39d,respectively,with a length of 1.0d.At 20%and 15%rated loads,the recirculation peak and the range of particle volume flux were comparable to those at 40%rated load.The prototype burner demonstrated that,without oil support,the gas temperature within 0 to 1.8 m from the primary air outlet remained below 609℃,insufficient to ignite faulty coal.As the load rate increased from 20%to 30%,the prototype’s central region temperature remained low,with a maximum of 750℃between 0 and 2.0 m.In contrast,the DPRB’s central region temperature reached 750℃at around 0.65–0.70 m.At a 3%·min^(−1)load-up rate,when the load increased from 20%to 30%,the prototype burner extinguished after 30 s.However,the DPRB maintained stable combustion throughout the process.展开更多
针对燃煤机组锅炉主再热汽温控制中存在的滞后性、多变量耦合及动态工况适应难题,文章提出一种融合数字孪生技术与最小二乘支持向量机(Least Squares Support Vector Machine,LS-SVM)的汽温寻优方法。通过构建锅炉三维数字孪生模型实现...针对燃煤机组锅炉主再热汽温控制中存在的滞后性、多变量耦合及动态工况适应难题,文章提出一种融合数字孪生技术与最小二乘支持向量机(Least Squares Support Vector Machine,LS-SVM)的汽温寻优方法。通过构建锅炉三维数字孪生模型实现设备状态实时映射,结合LS-SVM建立多变量动态预测模型,并引入多目标微分进化算法(MODE)进行参数优化。实际应用表明,该方法使主汽温波动范围从±7℃缩小至±2.5℃,再热汽温预测误差稳定在±1.5℃以内,年节约燃煤成本超400万元,为火电机组深度调峰与能效提升提供技术支撑。展开更多
基金the National Natural Science Foundation of China(No.U1966204)the China State Key Lab.of Power System(SKJLD19KM09).
文摘Due to the shortage of fossil energy and the pollution caused by combustion of fossil fuels,the proportion of renewable energy in power systems is gradually increasing across the world.Accordingly,the capacity of power systems to accommodate renewable energy must be improved.However,integration of a large amount of renewable energy into power grids may result in network congestion.Hence,in this study,optimal transmission switching(OTS)is considered as an important method of accommodating renewable energy.It is incorporated into the operation of a power grid along with deep peak regulation of thermal power units,forming an interactive mode of coordinated operation of source and network.A stochastic unit commitment model consider!ng deep peak regulation and OTS is established,and the role of OTS in promoting the accommodation of renewable energy is analyzed quantitatively.The results of case studies involving the IEEE 30-bus system demonstrate that OTS can enable utilization of the potential of deep peak regulation and facilitate the accommodation of renewable energy.
基金supported by Jilin Province Higher Education Teaching Reform Research Project in 2021(JLJY202186163419).
文摘Peak load and wind energy emission pressure rise more as wind energy penetration keeps growing,which affects the stabilization of the PS(power system).This paper suggests integrated optimal dispatching of thermal power generators and BESS(battery energy storage system)taking wind energy emission grading punishment and deep peak clipping into consideration.Firstly,in order to minimize wind abandonment,a hierarchical wind abandonment penalty strategy based on fuzzy control is designed and introduced,and the optimal grid-connected power of wind energy is determined as a result of minimizing the peak cutting cost of the system.Secondly,considering BESS and thermal power,the management approach of BESS-assisted virtual peak clipping of thermal power generators is aimed at reducing the degree of deep peak clipping of thermal power generators and optimizing the output of thermal power generators and the charging and discharging power of BESS.Finally,Give an example of how this strategy has been effective in reducing abandonment rates by 0.66% and 7.46% individually for different wind penetration programs,and the daily average can reduce the peak clipping power output of thermal power generators by 42.97 and 72.31 MWh and enhances the effect and economy of system peak clipping.
文摘With the rapid development of the installed capacity of clean energy sources such as wind power, hydropower and photovoltaic, significant changes have taken place in the domestic power structure, and deep peak-shaving operation of large thermal power units has become the norm. When the depth of the unit reaches a lower load, the once-through boiler changes from dry to wet operation, and the water separated from the boiler steam-water separator directly enters the condenser or is discharged through the blowdown system, resulting in a large amount of discharge and heat loss. As a result, the operating economy of the unit decreased significantly.
基金supported by the Heilongjiang Touyan Innovation Team Program and the National Key Research and Development Program,China(No.2024YFB4104803).
文摘Existing swirling combustion technology,which relies on faulty coal,is unable to meet deep peak shaving demands without auxiliary methods.This paper developed a deep peak regulation burner(DPRB)to achieve stable combustion at 15%–30%of the boiler’s rated load without auxiliary support.Gas-particle tests,industrial trials,and transient numerical simulations were conducted to evaluate the burner’s performance.At full rated load,the DPRB formed a central recirculation zone(RZ)with a length of 1.5d and a diameter of 0.58d(where d represents the outlet diameter).At 40%,20%,and 15%rated loads,the RZ became annular,with diameters of 0.30d,0.40d,and 0.39d,respectively,with a length of 1.0d.At 20%and 15%rated loads,the recirculation peak and the range of particle volume flux were comparable to those at 40%rated load.The prototype burner demonstrated that,without oil support,the gas temperature within 0 to 1.8 m from the primary air outlet remained below 609℃,insufficient to ignite faulty coal.As the load rate increased from 20%to 30%,the prototype’s central region temperature remained low,with a maximum of 750℃between 0 and 2.0 m.In contrast,the DPRB’s central region temperature reached 750℃at around 0.65–0.70 m.At a 3%·min^(−1)load-up rate,when the load increased from 20%to 30%,the prototype burner extinguished after 30 s.However,the DPRB maintained stable combustion throughout the process.
文摘针对燃煤机组锅炉主再热汽温控制中存在的滞后性、多变量耦合及动态工况适应难题,文章提出一种融合数字孪生技术与最小二乘支持向量机(Least Squares Support Vector Machine,LS-SVM)的汽温寻优方法。通过构建锅炉三维数字孪生模型实现设备状态实时映射,结合LS-SVM建立多变量动态预测模型,并引入多目标微分进化算法(MODE)进行参数优化。实际应用表明,该方法使主汽温波动范围从±7℃缩小至±2.5℃,再热汽温预测误差稳定在±1.5℃以内,年节约燃煤成本超400万元,为火电机组深度调峰与能效提升提供技术支撑。
文摘针对新能源大规模并网带来的消纳问题,提出一种考虑源荷双侧弹性资源的日前调度方法.首先,对深度调峰机组、可平移负荷和可削减负荷的弹性调节能力进行分析,建立含弹性资源的电力系统调度模型;然后,提出一种基于Conv-Seq2Seq (convolutional sequence to sequence)模型的日前调度方法,使用多层卷积神经网络作为编码器对负荷预测数据等信息进行提取,改进深度学习网络信息提取的能力和速度,并使用门控循环单元作为解码器对编码器提取的信息进行解码,以输出调度计划;最后,通过辅助决策修正来确保调度计划的安全性.基于改进的IEEE39节点算例验证所提出方法的有效性和正确性.
