Generally, the procedure for Solving Security constrained unit commitment (SCUC) problems within Lagrangian Relaxation framework is partitioned into two stages: one is to obtain feasible SCUC states;the other is to so...Generally, the procedure for Solving Security constrained unit commitment (SCUC) problems within Lagrangian Relaxation framework is partitioned into two stages: one is to obtain feasible SCUC states;the other is to solve the economic dispatch of generation power among all the generating units. The core of the two stages is how to determine the feasibility of SCUC states. The existence of ramp rate constraints and security constraints increases the difficulty of obtaining an analytical necessary and sufficient condition for determining the quasi-feasibility of SCUC states at each scheduling time. However, a numerical necessary and sufficient numerical condition is proposed and proven rigorously based on Benders Decomposition Theorem. Testing numerical example shows the effectiveness and efficiency of the condition.展开更多
聚焦在全国统一电力市场环境下,通过电力市场基本原理方法实现全网一体化电力平衡。首先,将全网一体化电力平衡基本原理与机组组合原理相结合,提出了一体化机组组合原理(integrated power balancing security constrained unit commitme...聚焦在全国统一电力市场环境下,通过电力市场基本原理方法实现全网一体化电力平衡。首先,将全网一体化电力平衡基本原理与机组组合原理相结合,提出了一体化机组组合原理(integrated power balancing security constrained unit commitment,IPB-SCUC),及其配套的成本效益计算方法、成本疏导机制和差价合约机制,系统构建出适应全国统一电力市场发展需要的全网一体化电力平衡市场模式,在不改变以平衡区为平衡主体的基本平衡模式下,实现了各地区平衡边界的广泛有序深度开放和全网平衡资源的市场化统一优化调用;其次,以所提全网一体化电力平衡市场模式为内核,系统提出了市场环境下调用全网资源解决通道受阻、电力保供、新能源消纳等电力平衡问题的通用方法;实现了对解决各类平衡问题经济性的量化计算,推动了一体化平衡电力流和价值流的融合统一;最后,基于实际生产运行数据的算例分析验证了所提理论的有效性和实用价值。展开更多
With the increase in the penetration rate of renewable energy, the planning and operation of power systems will face huge challenges. To ensure the sufficient utilization of renewable energy, the reasonable arrangemen...With the increase in the penetration rate of renewable energy, the planning and operation of power systems will face huge challenges. To ensure the sufficient utilization of renewable energy, the reasonable arrangement for the long-term power generation plan has become more crucial. Security-constrained unit commitment(SCUC) is a critical technical means to optimize the long-term power generation plan. However, the plentiful power sources and the complex grid structure in largescale power systems will bring great difficulties to long-term SCUC. In this paper, we propose a fast calculation method for long-term SCUC of large-scale power systems with renewable energy. First, a method for unit status reduction based on temporal decomposition is proposed, which will reduce plenty of binary variables and intertemporal constraints in SCUC. Then,an efficient redundant constraint identification(RCI) method is developed to reduce the number of network constraints. Furthermore, a joint accelerated calculation framework for status reduction and RCI is formed, which can reduce the complexity of long-term SCUC while ensuring a high-precision feasible solution. In case studies, numerical results based on two test systems ROTS2017 and NREL-118 are analyzed, which verify the effectiveness and scalability of the proposed calculation method.展开更多
随着风电接入电网的比例不断提高,风电的不确定性对电力系统的运行调度提出了严峻挑战。将满足一定置信水平的风电区间预测信息纳入到日前调度计划中有助于提高系统的安全性和经济性。为此提出了基于风电区间预测信息的随机安全约束机...随着风电接入电网的比例不断提高,风电的不确定性对电力系统的运行调度提出了严峻挑战。将满足一定置信水平的风电区间预测信息纳入到日前调度计划中有助于提高系统的安全性和经济性。为此提出了基于风电区间预测信息的随机安全约束机组组合模型(stochastic security-constrained unit commitment,SSCUC)。该模型将风电的不确定性用1个确定的预测风电场景和2个极限风电场景来表示,简化了问题的复杂度。同时,该模型引入了潮流约束和网络安全约束,保证了调度结果的可行性。为求解该模型,提出了基于广义Benders分解的计算方法。该方法将SSCUC问题分解为一个主问题和2T(T为调度周期)个约束潮流子问题,并通过交替迭代的方式获得原问题的最优解。4机9节点系统和改进118节点系统的计算结果验证了所提模型和算法的有效性。展开更多
文摘Generally, the procedure for Solving Security constrained unit commitment (SCUC) problems within Lagrangian Relaxation framework is partitioned into two stages: one is to obtain feasible SCUC states;the other is to solve the economic dispatch of generation power among all the generating units. The core of the two stages is how to determine the feasibility of SCUC states. The existence of ramp rate constraints and security constraints increases the difficulty of obtaining an analytical necessary and sufficient condition for determining the quasi-feasibility of SCUC states at each scheduling time. However, a numerical necessary and sufficient numerical condition is proposed and proven rigorously based on Benders Decomposition Theorem. Testing numerical example shows the effectiveness and efficiency of the condition.
文摘聚焦在全国统一电力市场环境下,通过电力市场基本原理方法实现全网一体化电力平衡。首先,将全网一体化电力平衡基本原理与机组组合原理相结合,提出了一体化机组组合原理(integrated power balancing security constrained unit commitment,IPB-SCUC),及其配套的成本效益计算方法、成本疏导机制和差价合约机制,系统构建出适应全国统一电力市场发展需要的全网一体化电力平衡市场模式,在不改变以平衡区为平衡主体的基本平衡模式下,实现了各地区平衡边界的广泛有序深度开放和全网平衡资源的市场化统一优化调用;其次,以所提全网一体化电力平衡市场模式为内核,系统提出了市场环境下调用全网资源解决通道受阻、电力保供、新能源消纳等电力平衡问题的通用方法;实现了对解决各类平衡问题经济性的量化计算,推动了一体化平衡电力流和价值流的融合统一;最后,基于实际生产运行数据的算例分析验证了所提理论的有效性和实用价值。
基金supported by the National Key R&D Program of China (No.2017YFB0902200)。
文摘With the increase in the penetration rate of renewable energy, the planning and operation of power systems will face huge challenges. To ensure the sufficient utilization of renewable energy, the reasonable arrangement for the long-term power generation plan has become more crucial. Security-constrained unit commitment(SCUC) is a critical technical means to optimize the long-term power generation plan. However, the plentiful power sources and the complex grid structure in largescale power systems will bring great difficulties to long-term SCUC. In this paper, we propose a fast calculation method for long-term SCUC of large-scale power systems with renewable energy. First, a method for unit status reduction based on temporal decomposition is proposed, which will reduce plenty of binary variables and intertemporal constraints in SCUC. Then,an efficient redundant constraint identification(RCI) method is developed to reduce the number of network constraints. Furthermore, a joint accelerated calculation framework for status reduction and RCI is formed, which can reduce the complexity of long-term SCUC while ensuring a high-precision feasible solution. In case studies, numerical results based on two test systems ROTS2017 and NREL-118 are analyzed, which verify the effectiveness and scalability of the proposed calculation method.
文摘随着风电接入电网的比例不断提高,风电的不确定性对电力系统的运行调度提出了严峻挑战。将满足一定置信水平的风电区间预测信息纳入到日前调度计划中有助于提高系统的安全性和经济性。为此提出了基于风电区间预测信息的随机安全约束机组组合模型(stochastic security-constrained unit commitment,SSCUC)。该模型将风电的不确定性用1个确定的预测风电场景和2个极限风电场景来表示,简化了问题的复杂度。同时,该模型引入了潮流约束和网络安全约束,保证了调度结果的可行性。为求解该模型,提出了基于广义Benders分解的计算方法。该方法将SSCUC问题分解为一个主问题和2T(T为调度周期)个约束潮流子问题,并通过交替迭代的方式获得原问题的最优解。4机9节点系统和改进118节点系统的计算结果验证了所提模型和算法的有效性。
