The issues of uncertainty and frequency security become significantly serious in power systems with the high penetration of volatile inverter-based renewables(IBRs),which makes it necessary to consider the uncertainty...The issues of uncertainty and frequency security become significantly serious in power systems with the high penetration of volatile inverter-based renewables(IBRs),which makes it necessary to consider the uncertainty and frequency-related constraints in the economic dispatch(ED)programs.However,existing ED studies rarely proactively optimize the control parameters of inverter-based resources related to fast regulation(e.g.,virtual inertia and droop coefficients)in cooperation with other dispatchable resources to improve the system frequency security and dispatch reliability.This paper proposes a joint chance-constrained economic dispatch model that jointly optimizes the frequency-related inverter control,the system up/down reserves,and base-point power for the minimal total operational cost.In the proposed model,multiple dispatchable resources,including thermal units,dispatchable IBRs,and energy storage,are considered,and the(virtual)inertias,the regulation reserve allocations,and base-point power are coordinated.To ensure the system reliability,the joint chance-constraint formulation is also adopted.Additionally,since the traditional sample average approximation(SAA)method imposes a huge computational burden,a novel mix-SAA(MSAA)method is proposed to transform the original intractable model into a linear model that can be efficiently solved via commercial solvers.The case studies validate the satisfactory efficacy of the proposed ED model and demonstrate that the MSAA can save nearly 90%calculation time compared with the traditional SAA.展开更多
高比例新能源的接入对电力系统既是机遇也是挑战:新能源具有清洁低碳的环保优势,但其出力不确定性大、物理惯量低的特点也对系统的频率安全运行带来挑战。针对上述问题,提出一种考虑碳-绿证市场耦合的新能源与储能虚拟惯量-阻尼调度方...高比例新能源的接入对电力系统既是机遇也是挑战:新能源具有清洁低碳的环保优势,但其出力不确定性大、物理惯量低的特点也对系统的频率安全运行带来挑战。针对上述问题,提出一种考虑碳-绿证市场耦合的新能源与储能虚拟惯量-阻尼调度方法。首先,构建包含电力决策、碳交易市场和绿证交易市场三者耦合关系,并计及系统动态频率安全约束的虚拟惯量-阻尼调度优化模型;其次,为降低决策保守性,将不确定性约束建模为整体的联合机会约束形式;然后,采用改进的样本平均近似(modified sample average approximation, MSAA)方法对所提模型进行求解,有效规避常规样本平均近似(sample average approximation, SAA)方法中0-1指示变量导致的计算负担。在IEEE-39节点系统的仿真结果表明:与现有模型和机会约束建模方法相比,所提方法能够根据系统时变扰动需求自适应调整虚拟惯量和下垂阻尼,在满足风险概率5%的前提下,以比固定系数方法低6.03%的成本,确保系统频率偏差在0.5 Hz以内。展现出更好的经济性、低碳性和频率安全性;同时,改进的MSAA方法较传统SAA方法计算时间减少了约90%,可显著提升计算效率。展开更多
基金supported by the National Natural Science Foundation of China under Grant 52377107.
文摘The issues of uncertainty and frequency security become significantly serious in power systems with the high penetration of volatile inverter-based renewables(IBRs),which makes it necessary to consider the uncertainty and frequency-related constraints in the economic dispatch(ED)programs.However,existing ED studies rarely proactively optimize the control parameters of inverter-based resources related to fast regulation(e.g.,virtual inertia and droop coefficients)in cooperation with other dispatchable resources to improve the system frequency security and dispatch reliability.This paper proposes a joint chance-constrained economic dispatch model that jointly optimizes the frequency-related inverter control,the system up/down reserves,and base-point power for the minimal total operational cost.In the proposed model,multiple dispatchable resources,including thermal units,dispatchable IBRs,and energy storage,are considered,and the(virtual)inertias,the regulation reserve allocations,and base-point power are coordinated.To ensure the system reliability,the joint chance-constraint formulation is also adopted.Additionally,since the traditional sample average approximation(SAA)method imposes a huge computational burden,a novel mix-SAA(MSAA)method is proposed to transform the original intractable model into a linear model that can be efficiently solved via commercial solvers.The case studies validate the satisfactory efficacy of the proposed ED model and demonstrate that the MSAA can save nearly 90%calculation time compared with the traditional SAA.
文摘高比例新能源的接入对电力系统既是机遇也是挑战:新能源具有清洁低碳的环保优势,但其出力不确定性大、物理惯量低的特点也对系统的频率安全运行带来挑战。针对上述问题,提出一种考虑碳-绿证市场耦合的新能源与储能虚拟惯量-阻尼调度方法。首先,构建包含电力决策、碳交易市场和绿证交易市场三者耦合关系,并计及系统动态频率安全约束的虚拟惯量-阻尼调度优化模型;其次,为降低决策保守性,将不确定性约束建模为整体的联合机会约束形式;然后,采用改进的样本平均近似(modified sample average approximation, MSAA)方法对所提模型进行求解,有效规避常规样本平均近似(sample average approximation, SAA)方法中0-1指示变量导致的计算负担。在IEEE-39节点系统的仿真结果表明:与现有模型和机会约束建模方法相比,所提方法能够根据系统时变扰动需求自适应调整虚拟惯量和下垂阻尼,在满足风险概率5%的前提下,以比固定系数方法低6.03%的成本,确保系统频率偏差在0.5 Hz以内。展现出更好的经济性、低碳性和频率安全性;同时,改进的MSAA方法较传统SAA方法计算时间减少了约90%,可显著提升计算效率。
