安全约束机组组合(security-constrained unit commitment,SCUC)作为编制发电计划的核心环节,在电力系统优化调度等方面具有十分重要的意义。因此,该文首先从物理模型和求解方法简要概述了SCUC问题。然后,从多目标、多元化决策变量、不...安全约束机组组合(security-constrained unit commitment,SCUC)作为编制发电计划的核心环节,在电力系统优化调度等方面具有十分重要的意义。因此,该文首先从物理模型和求解方法简要概述了SCUC问题。然后,从多目标、多元化决策变量、不确定性、多时间尺度与多元约束条件5个方面梳理了物理模型驱动的SCUC的研究进展,并分析了此类方法所面临的挑战。同时,重点总结归纳了现有基于人工智能技术和数据驱动的SCUC问题的研究成果,并分析了不同类型方法的特点、优势和缺陷。最后提出了对未来基于数据驱动的SCUC研究方向的相关思考。展开更多
Considering sharp increase of central integration scale of intermittent energy generation, power system couldn’t rely on the determined model based operation schedule to assure its reliable load supply. Then, this ar...Considering sharp increase of central integration scale of intermittent energy generation, power system couldn’t rely on the determined model based operation schedule to assure its reliable load supply. Then, this article presents a new load supply adequacy evaluation method, which based on continuous security constrained generation optimization, and provides the functional architecture design of online multi-level short term load supply adequacy evaluation system.展开更多
Due to recent technological achievements,stochastic optimization,which inherently captures the uncertainty of intermittent resources,is being used to capture the variability and uncertainty of wind and solar resources...Due to recent technological achievements,stochastic optimization,which inherently captures the uncertainty of intermittent resources,is being used to capture the variability and uncertainty of wind and solar resources.However,due to persistent computational limitations,it is not practical to consider all possible variable generation scenarios.As a result,a reduced number of most likely scenarios is usually considered.While this helps reduce the computational burden,it also leaves the system operator vulnerable to some risk.In order to address this issue,this paper aims at providing insight into using an explicit reserve requirement in a stochastic modeling framework in order to provide system operators with greater confidence in stochastic dispatch solutions.This is accomplished by simulating a modified version of the IEEE 118 bus system in a fully stochastic,multi-timescale framework with flexibility reserve requirements.Results show that utilizing a stochastic flexibility reserve requirement within the stochastic modeling framework offers the most reliability benefit.展开更多
文摘安全约束机组组合(security-constrained unit commitment,SCUC)作为编制发电计划的核心环节,在电力系统优化调度等方面具有十分重要的意义。因此,该文首先从物理模型和求解方法简要概述了SCUC问题。然后,从多目标、多元化决策变量、不确定性、多时间尺度与多元约束条件5个方面梳理了物理模型驱动的SCUC的研究进展,并分析了此类方法所面临的挑战。同时,重点总结归纳了现有基于人工智能技术和数据驱动的SCUC问题的研究成果,并分析了不同类型方法的特点、优势和缺陷。最后提出了对未来基于数据驱动的SCUC研究方向的相关思考。
文摘Considering sharp increase of central integration scale of intermittent energy generation, power system couldn’t rely on the determined model based operation schedule to assure its reliable load supply. Then, this article presents a new load supply adequacy evaluation method, which based on continuous security constrained generation optimization, and provides the functional architecture design of online multi-level short term load supply adequacy evaluation system.
基金supported by the National Renewable Energy Laboratory operated for DOE by the Alliance for Sustainable Energy,LLC under Contract No.DOE-AC36-08-GO28308.
文摘Due to recent technological achievements,stochastic optimization,which inherently captures the uncertainty of intermittent resources,is being used to capture the variability and uncertainty of wind and solar resources.However,due to persistent computational limitations,it is not practical to consider all possible variable generation scenarios.As a result,a reduced number of most likely scenarios is usually considered.While this helps reduce the computational burden,it also leaves the system operator vulnerable to some risk.In order to address this issue,this paper aims at providing insight into using an explicit reserve requirement in a stochastic modeling framework in order to provide system operators with greater confidence in stochastic dispatch solutions.This is accomplished by simulating a modified version of the IEEE 118 bus system in a fully stochastic,multi-timescale framework with flexibility reserve requirements.Results show that utilizing a stochastic flexibility reserve requirement within the stochastic modeling framework offers the most reliability benefit.
