当前,我国已经在七省市开展碳排放权交易试点,并计划于2017年建立全国碳市场。在此背景下,将碳排放权交易的影响纳入安全约束机组组合(security constrained unit commitment,SCUC)问题中非常必要。同时,随着我国智能电网不断发展和电...当前,我国已经在七省市开展碳排放权交易试点,并计划于2017年建立全国碳市场。在此背景下,将碳排放权交易的影响纳入安全约束机组组合(security constrained unit commitment,SCUC)问题中非常必要。同时,随着我国智能电网不断发展和电力市场改革不断深入,多种需求侧资源参与电力市场成为可能。建立了综合考虑碳排放权分配和需求侧资源的SCUC模型,通过虚拟电厂整合需求侧资源,研究了需求响应、分布式发电以及储能3种典型需求侧资源的加入对机组组合结果中系统总成本降低和总碳排放量减少的作用,分析了需求侧资源响应对系统机组组合的影响,最后讨论了分配方案和排放权价格对系统总碳排放量的影响。展开更多
With increasing penetration of wind energy,the variability and uncertainty of wind resources have become important factors for power systems operation.In particular,an effective method is required for identifying the ...With increasing penetration of wind energy,the variability and uncertainty of wind resources have become important factors for power systems operation.In particular,an effective method is required for identifying the stochastic range of wind power output,in order to better guide the operational security of power systems.This paper proposes a metric to determine accurate wind power output ranges so that the probability of actual wind power outputs being out of the range would be less than a small pre-defined value.A mixed-integer linear programming(MILP)based chance-constrained optimization model is proposed for efficiently determining optimal wind power output ranges,which are quantified via maximum and the minimum wind generation levels with respect to a certain time interval.The derived wind power range is then used to construct dynamic uncertainty intervals for the robust securityconstrained unit commitment(SCUC)model.A comparison with the deterministic SCUC model and the traditional robust SCUC model with presumed static uncertainty interval demonstrates that the proposed approach can offer more accurate wind power variabilities(i.e.,different variability degrees with respect to different wind power output levels at different time periods).The proposed approach is also shown to offer more effective and robust SCUC solutions,guaranteeing operational security and economics of power systems.Numerical case studies on a 6-bus system and the modified IEEE 118-bus system with realworld wind power data illustrate the effectiveness of the proposed approach.展开更多
安全约束机组组合(security constrained unit commitment,SCUC)是电网出清场景中最为广泛使用的一类模型。建立了一种针对超大规模SCUC现货市场出清问题的求解框架,首先提出了SCUC问题的时间解耦求解方法,通过缩小问题的规模来加快求...安全约束机组组合(security constrained unit commitment,SCUC)是电网出清场景中最为广泛使用的一类模型。建立了一种针对超大规模SCUC现货市场出清问题的求解框架,首先提出了SCUC问题的时间解耦求解方法,通过缩小问题的规模来加快求解速度;其次针对时间解耦后模型的子问题提出了拉格朗日松弛求解技术,在不影响求解准确度的情况下,有效降低了关键困难约束的求解难度。数值实验证明,所提出的框架极大地提升了求解效率,且十分稳定。展开更多
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
为探讨不同可再生能源渗透情形下的电网投资、再调度与可再生能源(renewable energy source,RES)削减需求,提出一种连续的电力市场、网络模拟方法。市场模拟代表电力交易日前市场每小时的市场清算过程,网络仿真代表了输电系统在确定常...为探讨不同可再生能源渗透情形下的电网投资、再调度与可再生能源(renewable energy source,RES)削减需求,提出一种连续的电力市场、网络模拟方法。市场模拟代表电力交易日前市场每小时的市场清算过程,网络仿真代表了输电系统在确定常规电厂的最优再调度命令和RES的削减命令时所起的作用。通过市场模拟和网络模拟分别迭代计算成本效益和输电网投资需求。此外,利用Benders分解技术和增广拉格朗日松弛法求解目标年的优化问题。最终通过算例分析验证所提方法的有效性。展开更多
The Benders Decomposition method is widely used to manage large-scale problems in power system optimization.In this paper,a simple but effective method is proposed to improve the Benders Decomposition efficiency using...The Benders Decomposition method is widely used to manage large-scale problems in power system optimization.In this paper,a simple but effective method is proposed to improve the Benders Decomposition efficiency using the security constrained unit commitment(SCUC)problem as an example.The heuristic weights are introduced for constraint violations to accelerate their elimination,and thereby improving the Benders Decomposition efficiency.The validity of the proposed method is verified through case studies on multiple IEEE test systems.展开更多
The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen(P2H) is a promising solution to balance supply and demand in a variable powe...The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen(P2H) is a promising solution to balance supply and demand in a variable power grid, in which excess wind power is converted into hydrogen via electrolysis and stored for later use. In this study, an energy hub(EH) with both a P2H facility(electrolyzer) and a gas-to-power(G2P) facility(hydrogen gas turbine) is proposed to accommodate a high penetration of wind power. The EH is modeled and integrated into a security-constrained unit commitment(SCUC) problem, and this optimization problem is solved by a mixed-integer linear programming(MILP) method with the Benders decomposition technique. Case studies are presented to validate the proposed model and elaborate on the technological potential of integrating P2H into a power system with a high level of wind penetration(HWP).展开更多
安全约束机组组合(Security-constrained Unit Commitment,SCUC)问题作为制定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。针对考虑故障态约束后SCUC问题规模庞大、难以求解的情况,提出了一种基于辅助优化问题的...安全约束机组组合(Security-constrained Unit Commitment,SCUC)问题作为制定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。针对考虑故障态约束后SCUC问题规模庞大、难以求解的情况,提出了一种基于辅助优化问题的故障态安全约束削减方法。首先引入与具体故障态安全约束相关的辅助优化问题,从而建立判别相应故障态安全约束是否冗余的充分必要条件。然后探究冗余故障态安全约束辨识过程的具体加速方法,包括松弛辅助优化问题方法,使用可行性判据进行故障态安全约束预分类方法,以及多线程并行计算方法。最后,在IEEE118测试系统上对所提方法的正确性和有效性进行了仿真验证。展开更多
文摘当前,我国已经在七省市开展碳排放权交易试点,并计划于2017年建立全国碳市场。在此背景下,将碳排放权交易的影响纳入安全约束机组组合(security constrained unit commitment,SCUC)问题中非常必要。同时,随着我国智能电网不断发展和电力市场改革不断深入,多种需求侧资源参与电力市场成为可能。建立了综合考虑碳排放权分配和需求侧资源的SCUC模型,通过虚拟电厂整合需求侧资源,研究了需求响应、分布式发电以及储能3种典型需求侧资源的加入对机组组合结果中系统总成本降低和总碳排放量减少的作用,分析了需求侧资源响应对系统机组组合的影响,最后讨论了分配方案和排放权价格对系统总碳排放量的影响。
基金supported in part by the U.S.National Science Foundation under Grant ECCS-1254310.
文摘With increasing penetration of wind energy,the variability and uncertainty of wind resources have become important factors for power systems operation.In particular,an effective method is required for identifying the stochastic range of wind power output,in order to better guide the operational security of power systems.This paper proposes a metric to determine accurate wind power output ranges so that the probability of actual wind power outputs being out of the range would be less than a small pre-defined value.A mixed-integer linear programming(MILP)based chance-constrained optimization model is proposed for efficiently determining optimal wind power output ranges,which are quantified via maximum and the minimum wind generation levels with respect to a certain time interval.The derived wind power range is then used to construct dynamic uncertainty intervals for the robust securityconstrained unit commitment(SCUC)model.A comparison with the deterministic SCUC model and the traditional robust SCUC model with presumed static uncertainty interval demonstrates that the proposed approach can offer more accurate wind power variabilities(i.e.,different variability degrees with respect to different wind power output levels at different time periods).The proposed approach is also shown to offer more effective and robust SCUC solutions,guaranteeing operational security and economics of power systems.Numerical case studies on a 6-bus system and the modified IEEE 118-bus system with realworld wind power data illustrate the effectiveness of the proposed approach.
文摘安全约束机组组合(security constrained unit commitment,SCUC)是电网出清场景中最为广泛使用的一类模型。建立了一种针对超大规模SCUC现货市场出清问题的求解框架,首先提出了SCUC问题的时间解耦求解方法,通过缩小问题的规模来加快求解速度;其次针对时间解耦后模型的子问题提出了拉格朗日松弛求解技术,在不影响求解准确度的情况下,有效降低了关键困难约束的求解难度。数值实验证明,所提出的框架极大地提升了求解效率,且十分稳定。
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.
文摘为探讨不同可再生能源渗透情形下的电网投资、再调度与可再生能源(renewable energy source,RES)削减需求,提出一种连续的电力市场、网络模拟方法。市场模拟代表电力交易日前市场每小时的市场清算过程,网络仿真代表了输电系统在确定常规电厂的最优再调度命令和RES的削减命令时所起的作用。通过市场模拟和网络模拟分别迭代计算成本效益和输电网投资需求。此外,利用Benders分解技术和增广拉格朗日松弛法求解目标年的优化问题。最终通过算例分析验证所提方法的有效性。
基金supported by National Natural Science Foundation of China(Grant No.51707146,U1766205).
文摘The Benders Decomposition method is widely used to manage large-scale problems in power system optimization.In this paper,a simple but effective method is proposed to improve the Benders Decomposition efficiency using the security constrained unit commitment(SCUC)problem as an example.The heuristic weights are introduced for constraint violations to accelerate their elimination,and thereby improving the Benders Decomposition efficiency.The validity of the proposed method is verified through case studies on multiple IEEE test systems.
基金supported by National Natural Science Foundation of China(No.51377035)NSFC-RCUK_EPSRC(No.51361130153)
文摘The increasing integration of variable wind generation has aggravated the imbalance between electricity supply and demand. Power-to-hydrogen(P2H) is a promising solution to balance supply and demand in a variable power grid, in which excess wind power is converted into hydrogen via electrolysis and stored for later use. In this study, an energy hub(EH) with both a P2H facility(electrolyzer) and a gas-to-power(G2P) facility(hydrogen gas turbine) is proposed to accommodate a high penetration of wind power. The EH is modeled and integrated into a security-constrained unit commitment(SCUC) problem, and this optimization problem is solved by a mixed-integer linear programming(MILP) method with the Benders decomposition technique. Case studies are presented to validate the proposed model and elaborate on the technological potential of integrating P2H into a power system with a high level of wind penetration(HWP).
文摘安全约束机组组合(Security-constrained Unit Commitment,SCUC)问题作为制定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。针对考虑故障态约束后SCUC问题规模庞大、难以求解的情况,提出了一种基于辅助优化问题的故障态安全约束削减方法。首先引入与具体故障态安全约束相关的辅助优化问题,从而建立判别相应故障态安全约束是否冗余的充分必要条件。然后探究冗余故障态安全约束辨识过程的具体加速方法,包括松弛辅助优化问题方法,使用可行性判据进行故障态安全约束预分类方法,以及多线程并行计算方法。最后,在IEEE118测试系统上对所提方法的正确性和有效性进行了仿真验证。
