An economic dispatch problem for power system with wind power is discussed.Using discrete scenario to describe uncertain wind powers,a threshold is given to identify bad scenario set.The bad-scenario-set robust econom...An economic dispatch problem for power system with wind power is discussed.Using discrete scenario to describe uncertain wind powers,a threshold is given to identify bad scenario set.The bad-scenario-set robust economic dispatch model is established to minimize the total penalties on bad scenarios.A specialized hybrid particle swarm optimization(PSO)algorithm is developed through hybridizing simulated annealing(SA)operators.The SA operators are performed according to a scenario-oriented adaptive search rule in a neighborhood which is constructed based on the unit commitment constraints.Finally,an experiment is conducted.The computational results show that the developed algorithm outperforms the existing algorithms.展开更多
A novel approach was proposed to allocate spinning reserve for dynamic economic dispatch.The proposed approach set up a two-stage stochastic programming model to allocate reserve.The model was solved using a decompose...A novel approach was proposed to allocate spinning reserve for dynamic economic dispatch.The proposed approach set up a two-stage stochastic programming model to allocate reserve.The model was solved using a decomposed algorithm based on Benders' decomposition.The model and the algorithm were applied to a simple 3-node system and an actual 445-node system for verification,respectively.Test results show that the model can save 84.5 US $ cost for the testing three-node system,and the algorithm can solve the model for 445-node system within 5 min.The test results also illustrate that the proposed approach is efficient and suitable for large system calculation.展开更多
为促进区域能源系统(rational integrated energy system,RIES)的低碳和经济发展,文中建立了两种不同类型的区域能源模型,结合风能-碳捕集的运行模式,分析两种区域能源模型的适用场景。通过引入系统运行经济成本最低的目标函数,基于风能...为促进区域能源系统(rational integrated energy system,RIES)的低碳和经济发展,文中建立了两种不同类型的区域能源模型,结合风能-碳捕集的运行模式,分析两种区域能源模型的适用场景。通过引入系统运行经济成本最低的目标函数,基于风能-碳捕集结合的运行模式建立生物质能和电转氢RIES热电联产(combined heat and power,CHP)优化调度模型,采用CPLEX对两种区域能源模型进行求解。仿真结果证明:两种RIES运行的经济性和低碳性在风能-碳捕集运行模式下得到了有效的提升,为不同能源组合下的综合能源系统低碳经济调度提供了可靠依据。展开更多
为充分发挥虚拟电厂(virtual power plant,VPP)的减排潜力,挖掘清洁能源潜在利润,提出了一个基于二级碳市场与绿证分配制度的源荷低碳经济调度模型。首先,针对VPP内聚合了多种能源设备的集线器,以综合运维成本最小为优化目标;其次,建立...为充分发挥虚拟电厂(virtual power plant,VPP)的减排潜力,挖掘清洁能源潜在利润,提出了一个基于二级碳市场与绿证分配制度的源荷低碳经济调度模型。首先,针对VPP内聚合了多种能源设备的集线器,以综合运维成本最小为优化目标;其次,建立基于碳配额交易与拍卖市场的二级碳市场交易体系,模拟源侧多企业共同参与不完全信息博弈;再次,依据碳流理论,将碳排放量与碳流密度结合为碳指标,并建立荷侧绿证分配方法,提高用户购买绿证的经济效益,从而提高绿证价值,使提供绿证的清洁能源企业从中获益。最后,以一个多区域VPP模型为例,对夏、冬两季典型日进行模拟,算例计算结果验证了二级碳市场与绿证分配制度能有效利用市场传导机制提高环保企业收益,鼓励高碳排放企业向低碳转型。展开更多
双碳背景下,为充分调动综合能源系统(integrated energy system,IES)需求侧响应的灵活性,并克服碳排放权交易价格的不确定性对调度计划的影响,提出一种考虑需求响应与碳价不确定性的综合能源系统两阶段低碳经济调度模型。在第一阶段为...双碳背景下,为充分调动综合能源系统(integrated energy system,IES)需求侧响应的灵活性,并克服碳排放权交易价格的不确定性对调度计划的影响,提出一种考虑需求响应与碳价不确定性的综合能源系统两阶段低碳经济调度模型。在第一阶段为缓解系统供能压力,建立需求响应模型以减少负荷峰谷差并提高供需侧的热电匹配度;第二阶段采用随机场景法对碳价不确定性进行建模,以系统总运行成本期望值最小为目标,构建了综合能源系统低碳经济调度模型。仿真算例表明,所提模型可以有效提高能源利用率,实现系统经济性与低碳性的统一。展开更多
随着风电并网规模的不断增长,其出力不确定性给综合能源系统(integrated energy system,IES)的稳定经济运行带来了巨大挑战。对此,文中提出基于改进风电场景削减算法的IES低碳经济调度方法。首先,采用改进的迭代自组织数据分析算法(iter...随着风电并网规模的不断增长,其出力不确定性给综合能源系统(integrated energy system,IES)的稳定经济运行带来了巨大挑战。对此,文中提出基于改进风电场景削减算法的IES低碳经济调度方法。首先,采用改进的迭代自组织数据分析算法(iterative self-organizing data analysis technique algorithm,ISODATA)对大量历史风电场景进行聚类削减,克服传统聚类算法在聚类中心确定和数据内在特征考虑上的不足。然后,以改进阶梯碳价模型计算碳交易成本,针对含电转气-碳捕集(power to gas and carbon capture system,P2G-CCS)耦合设备的IES,建立以提升其经济性、低碳性为目标的IES优化调度模型。最后,仿真结果表明,该模型在保证系统低碳排放的同时可有效降低综合运行成本。展开更多
为提升综合能源系统的低碳性与经济性,充分挖掘灵活需求,提出一种基于绿证-碳交易和热电灵活输出的含氢综合能源系统(hydrogen-containing integrated energy system,HIES)。首先,将传统热电联产(combined heat and power,CHP)耦合有机...为提升综合能源系统的低碳性与经济性,充分挖掘灵活需求,提出一种基于绿证-碳交易和热电灵活输出的含氢综合能源系统(hydrogen-containing integrated energy system,HIES)。首先,将传统热电联产(combined heat and power,CHP)耦合有机朗肯循环(organic Rankine cycle,ORC)与电锅炉(electric boiler,EB)灵活运行,使燃气轮机(gas turbine,GT)产生的电力可以同时供应给电力网络和EB,其释放的热能则可以同时用于ORC和EB,以此缓解热电耦合限制。其次,融合绿证交易和阶梯式碳交易构建绿证-碳交易模型,以降低系统的碳排放、提高可再生能源的消纳,同时分析绿证单价和可再生能源配额系数对于系统优化调度的影响。然后,将电解槽、氢燃料电池等纳入模型中,充分考虑氢能的多元化利用,提升系统的低碳性。最后,以系统总成本最低为优化目标,构建日前优化调度模型。算例结果表明:该策略可提高系统的可再生能源消纳,同时降低系统碳排放和总成本。展开更多
基金supported by the National Natural Science Foundation of China(62173219,62073210).
文摘An economic dispatch problem for power system with wind power is discussed.Using discrete scenario to describe uncertain wind powers,a threshold is given to identify bad scenario set.The bad-scenario-set robust economic dispatch model is established to minimize the total penalties on bad scenarios.A specialized hybrid particle swarm optimization(PSO)algorithm is developed through hybridizing simulated annealing(SA)operators.The SA operators are performed according to a scenario-oriented adaptive search rule in a neighborhood which is constructed based on the unit commitment constraints.Finally,an experiment is conducted.The computational results show that the developed algorithm outperforms the existing algorithms.
基金Projects(51007047,51077087)supported by the National Natural Science Foundation of ChinaProject(2013CB228205)supported by the National Key Basic Research Program of China+1 种基金Project(20100131120039)supported by Higher Learning Doctor Discipline End Scientific Research Fund of the Ministry of Education Institution,ChinaProject(ZR2010EQ035)supported by the Natural Science Foundation of Shandong Province,China
文摘A novel approach was proposed to allocate spinning reserve for dynamic economic dispatch.The proposed approach set up a two-stage stochastic programming model to allocate reserve.The model was solved using a decomposed algorithm based on Benders' decomposition.The model and the algorithm were applied to a simple 3-node system and an actual 445-node system for verification,respectively.Test results show that the model can save 84.5 US $ cost for the testing three-node system,and the algorithm can solve the model for 445-node system within 5 min.The test results also illustrate that the proposed approach is efficient and suitable for large system calculation.
文摘为促进区域能源系统(rational integrated energy system,RIES)的低碳和经济发展,文中建立了两种不同类型的区域能源模型,结合风能-碳捕集的运行模式,分析两种区域能源模型的适用场景。通过引入系统运行经济成本最低的目标函数,基于风能-碳捕集结合的运行模式建立生物质能和电转氢RIES热电联产(combined heat and power,CHP)优化调度模型,采用CPLEX对两种区域能源模型进行求解。仿真结果证明:两种RIES运行的经济性和低碳性在风能-碳捕集运行模式下得到了有效的提升,为不同能源组合下的综合能源系统低碳经济调度提供了可靠依据。
文摘为充分发挥虚拟电厂(virtual power plant,VPP)的减排潜力,挖掘清洁能源潜在利润,提出了一个基于二级碳市场与绿证分配制度的源荷低碳经济调度模型。首先,针对VPP内聚合了多种能源设备的集线器,以综合运维成本最小为优化目标;其次,建立基于碳配额交易与拍卖市场的二级碳市场交易体系,模拟源侧多企业共同参与不完全信息博弈;再次,依据碳流理论,将碳排放量与碳流密度结合为碳指标,并建立荷侧绿证分配方法,提高用户购买绿证的经济效益,从而提高绿证价值,使提供绿证的清洁能源企业从中获益。最后,以一个多区域VPP模型为例,对夏、冬两季典型日进行模拟,算例计算结果验证了二级碳市场与绿证分配制度能有效利用市场传导机制提高环保企业收益,鼓励高碳排放企业向低碳转型。
文摘双碳背景下,为充分调动综合能源系统(integrated energy system,IES)需求侧响应的灵活性,并克服碳排放权交易价格的不确定性对调度计划的影响,提出一种考虑需求响应与碳价不确定性的综合能源系统两阶段低碳经济调度模型。在第一阶段为缓解系统供能压力,建立需求响应模型以减少负荷峰谷差并提高供需侧的热电匹配度;第二阶段采用随机场景法对碳价不确定性进行建模,以系统总运行成本期望值最小为目标,构建了综合能源系统低碳经济调度模型。仿真算例表明,所提模型可以有效提高能源利用率,实现系统经济性与低碳性的统一。
文摘随着风电并网规模的不断增长,其出力不确定性给综合能源系统(integrated energy system,IES)的稳定经济运行带来了巨大挑战。对此,文中提出基于改进风电场景削减算法的IES低碳经济调度方法。首先,采用改进的迭代自组织数据分析算法(iterative self-organizing data analysis technique algorithm,ISODATA)对大量历史风电场景进行聚类削减,克服传统聚类算法在聚类中心确定和数据内在特征考虑上的不足。然后,以改进阶梯碳价模型计算碳交易成本,针对含电转气-碳捕集(power to gas and carbon capture system,P2G-CCS)耦合设备的IES,建立以提升其经济性、低碳性为目标的IES优化调度模型。最后,仿真结果表明,该模型在保证系统低碳排放的同时可有效降低综合运行成本。
