Load prediction and power prediction uncertainties are inevitable aspects of a virtual power plant(VPP).In power system economic dispatch(ED)modeling,the interval is used to describe prediction uncertainties.An ED mod...Load prediction and power prediction uncertainties are inevitable aspects of a virtual power plant(VPP).In power system economic dispatch(ED)modeling,the interval is used to describe prediction uncertainties.An ED model with interval uncertainty is established in this paper.The probability degree definition is adopted to convert the interval-based economic dispatch model into a deterministic model for the purposes of solving the modeling problem.Simulation tests are performed on a 10-machine system using professional optimization software(LINGO).The simulation results verify the validity of the proposed interval-based scheme for the economic dispatch of a power system with VPP.展开更多
An integrated heat and power system(IHPS)is a promising approach for alleviating wind curtailment problems.In an IHPS,the combined heat and power(CHP)plant is the key component,which supplies both heat and electric lo...An integrated heat and power system(IHPS)is a promising approach for alleviating wind curtailment problems.In an IHPS,the combined heat and power(CHP)plant is the key component,which supplies both heat and electric loads,and couples the thermal system and power system.However,existing research commonly ignores or simplifies the internal composition of CHP plants,which could lead to some unavoidable errors.This paper focuses on the internal composition of CHP plants,and models the physical processes in different components and flexible resources in the CHP plant.Furthermore,a joint dispatch problem of an IHPS with the above CHP plant models is formulated,and an iterative algorithm is developed to handle the nonlinearity in this problem.Case studies are performed based on a real CHP plant in Northern China,and the results indicate that the synergistic effect of different energy resources in the CHP plant is realized by the joint dispatch model,which promotes wind power accommodation and reduces fossil fuel consumption.展开更多
目前,分布式电源已经广泛应用于电力系统中。因其具有容量小、分布广泛的特点,难以进行有效管理,而虚拟电厂(virtual power plant,VPP)则较好地解决了这一问题。通过建立VPP的联合调度运行中心,使得分布式电源可以等效为1个联合发电实...目前,分布式电源已经广泛应用于电力系统中。因其具有容量小、分布广泛的特点,难以进行有效管理,而虚拟电厂(virtual power plant,VPP)则较好地解决了这一问题。通过建立VPP的联合调度运行中心,使得分布式电源可以等效为1个联合发电实体参与电力市场调度。通过主网ISO(independent system operator)和VPP的双层优化调度,不仅可以有效提高分布式电源的可调控性,还可以提高分布式电源的整体经济效益。通过在双层优化调度的上下层目标函数中引入弃风惩罚函数,有效提升了新能源并网的利用率,增强了系统对新能源发电的吸纳能力。首先分析了双层优化调度对VPP各机组经济性的提升,然后从VPP调度容量占系统总容量的比例出发,对比分析了VPP不同容量比例对VPP整体经济效益和各个机组净收益的影响。算例结果证明了采用双层优化调度和选取合适的VPP容量比例对于VPP经济效益提升的重要性。展开更多
机会约束规划主要用来处理含多个随机变量的复杂约束问题,由于虚拟电厂存在大量不确定因素,包括可再生能源输出功率波动、负荷预测误差、机组故障停运等,采用机会约束规划建模能够很好地描述由随机变量带来的不确定性。该文建立基于机...机会约束规划主要用来处理含多个随机变量的复杂约束问题,由于虚拟电厂存在大量不确定因素,包括可再生能源输出功率波动、负荷预测误差、机组故障停运等,采用机会约束规划建模能够很好地描述由随机变量带来的不确定性。该文建立基于机会约束规划的虚拟电厂(virtual power plant,VPP)经济调度模型。该模型以最大化虚拟电厂经济效益为目标、旋转备用约束为机会约束,利用随机模拟和遗传算法结合的混合算法进行求解。针对机会约束规划处理中所伴随的失负荷风险,建立风险量化指标,讨论不同控制场景、不同置信水平及不同风险系数下VPP调度决策所面临的风险水平,探讨虚拟电厂调度过程中经济性与风险性之间的平衡关系,以期为机会约束规划中最佳置信水平的选择提供参考。展开更多
基金supported by the State Grid Corporation of China Project:Study on Key Technologies for Power and Frequency Control of System with Source-Grid-Load Interactions,and sponsored by NUPTSF(under Grant XJKY14018).
文摘Load prediction and power prediction uncertainties are inevitable aspects of a virtual power plant(VPP).In power system economic dispatch(ED)modeling,the interval is used to describe prediction uncertainties.An ED model with interval uncertainty is established in this paper.The probability degree definition is adopted to convert the interval-based economic dispatch model into a deterministic model for the purposes of solving the modeling problem.Simulation tests are performed on a 10-machine system using professional optimization software(LINGO).The simulation results verify the validity of the proposed interval-based scheme for the economic dispatch of a power system with VPP.
基金supported by the National Key Research and Development Program of China under Grant 2017YFB0902100.
文摘An integrated heat and power system(IHPS)is a promising approach for alleviating wind curtailment problems.In an IHPS,the combined heat and power(CHP)plant is the key component,which supplies both heat and electric loads,and couples the thermal system and power system.However,existing research commonly ignores or simplifies the internal composition of CHP plants,which could lead to some unavoidable errors.This paper focuses on the internal composition of CHP plants,and models the physical processes in different components and flexible resources in the CHP plant.Furthermore,a joint dispatch problem of an IHPS with the above CHP plant models is formulated,and an iterative algorithm is developed to handle the nonlinearity in this problem.Case studies are performed based on a real CHP plant in Northern China,and the results indicate that the synergistic effect of different energy resources in the CHP plant is realized by the joint dispatch model,which promotes wind power accommodation and reduces fossil fuel consumption.
文摘目前,分布式电源已经广泛应用于电力系统中。因其具有容量小、分布广泛的特点,难以进行有效管理,而虚拟电厂(virtual power plant,VPP)则较好地解决了这一问题。通过建立VPP的联合调度运行中心,使得分布式电源可以等效为1个联合发电实体参与电力市场调度。通过主网ISO(independent system operator)和VPP的双层优化调度,不仅可以有效提高分布式电源的可调控性,还可以提高分布式电源的整体经济效益。通过在双层优化调度的上下层目标函数中引入弃风惩罚函数,有效提升了新能源并网的利用率,增强了系统对新能源发电的吸纳能力。首先分析了双层优化调度对VPP各机组经济性的提升,然后从VPP调度容量占系统总容量的比例出发,对比分析了VPP不同容量比例对VPP整体经济效益和各个机组净收益的影响。算例结果证明了采用双层优化调度和选取合适的VPP容量比例对于VPP经济效益提升的重要性。
文摘机会约束规划主要用来处理含多个随机变量的复杂约束问题,由于虚拟电厂存在大量不确定因素,包括可再生能源输出功率波动、负荷预测误差、机组故障停运等,采用机会约束规划建模能够很好地描述由随机变量带来的不确定性。该文建立基于机会约束规划的虚拟电厂(virtual power plant,VPP)经济调度模型。该模型以最大化虚拟电厂经济效益为目标、旋转备用约束为机会约束,利用随机模拟和遗传算法结合的混合算法进行求解。针对机会约束规划处理中所伴随的失负荷风险,建立风险量化指标,讨论不同控制场景、不同置信水平及不同风险系数下VPP调度决策所面临的风险水平,探讨虚拟电厂调度过程中经济性与风险性之间的平衡关系,以期为机会约束规划中最佳置信水平的选择提供参考。
