考虑约束非线性系统,提出一种新的具有稳定性保证的经济模型预测控制(Economic model predictive control,EMPC)策略.由于经济性能指标的非凸性和非正定性,引入关于经济最优平衡点的正定辅助函数.利用辅助函数的最优值函数定义原始EMPC...考虑约束非线性系统,提出一种新的具有稳定性保证的经济模型预测控制(Economic model predictive control,EMPC)策略.由于经济性能指标的非凸性和非正定性,引入关于经济最优平衡点的正定辅助函数.利用辅助函数的最优值函数定义原始EMPC优化问题的稳定性约束.应用终端约束集、终端代价函数和局部控制器三要素,建立闭环系统关于经济最优平衡点的渐近稳定性和渐近平均性能.进一步,结合多目标理想点概念,将提出的控制策略用于多个经济性能指标的优化控制,得到稳定多目标EMPC策略.最后,以连续搅拌反应器为例,比较仿真结果验证本文策略的有效性.展开更多
交流1 000 k V和500 k V具有不同的适用输电容量与距离范围。针对电源点送出的不同情况,应合理选择电压等级,并匹配相应的线路回数、串补度、开关站等。以往多采用BPA仿真软件通过连续潮流算法得到,但该方法计算调整复杂且费时,需对多...交流1 000 k V和500 k V具有不同的适用输电容量与距离范围。针对电源点送出的不同情况,应合理选择电压等级,并匹配相应的线路回数、串补度、开关站等。以往多采用BPA仿真软件通过连续潮流算法得到,但该方法计算调整复杂且费时,需对多种送电需求情况进行分析时计算量尤为庞大。提出一种基于交流线路输电能力的算法,采用Matlab软件编程实现交流输电模型建模及经济性优选方法。该方法可以在考虑电网强度等因素情况下,采用热限制、电压降落限制、稳定限制等约束条件,得到交流线路输电能力曲线。在此基础上,建立超、特高压交流输电模型,结合单位容量年费用比较法进行经济性优选,最终得到满足电源点送电任意输电容量和输电距离需求下的经济性最优交流输电电压等级及其输电模型配置,对于我国输电线路的规划建设具有重要的参考意义和实用价值。展开更多
Based on analysis of construction and operation of micro integrated energy systems(MIES), this paper presents economic optimization for their configuration and sizing. After presenting typical models for MIES, a resid...Based on analysis of construction and operation of micro integrated energy systems(MIES), this paper presents economic optimization for their configuration and sizing. After presenting typical models for MIES, a residential community MIES is developed by analyzing residential direct energy consumption within a general design procedure. Integrating with available current technologies and local resources, the systematic design considers a prime mover, fed by natural gas, with wind power, photovoltaic generation, and two storage devices serving thermal energy and power to satisfy cooling, heating and electricity demands. Control strategies for MIES also arepresented in this study. Multi-objective formulas are obtained by analyzing annual cost and dumped renewable energy to achieve optimal coordination of energy supply and demand. According to historical load data and the probability distribution of distributed generation output,clustering methods based on K-means and discretization methods are employed to obtain typical scenarios representative of uncertainties. The modified non-dominated sorting genetic algorithm is applied to find the Pareto frontier of the constructed multi-objective formulas. In addition, aiming to explore the Pareto frontier, the dumped energy cost ratio is defined to check the energy balance in different MIES designs and provide decision support for the investors. Finally, simulations and comparision show the appropriateness of the developed model and the applicability of the adopted optimization algorithm.展开更多
文摘考虑约束非线性系统,提出一种新的具有稳定性保证的经济模型预测控制(Economic model predictive control,EMPC)策略.由于经济性能指标的非凸性和非正定性,引入关于经济最优平衡点的正定辅助函数.利用辅助函数的最优值函数定义原始EMPC优化问题的稳定性约束.应用终端约束集、终端代价函数和局部控制器三要素,建立闭环系统关于经济最优平衡点的渐近稳定性和渐近平均性能.进一步,结合多目标理想点概念,将提出的控制策略用于多个经济性能指标的优化控制,得到稳定多目标EMPC策略.最后,以连续搅拌反应器为例,比较仿真结果验证本文策略的有效性.
文摘交流1 000 k V和500 k V具有不同的适用输电容量与距离范围。针对电源点送出的不同情况,应合理选择电压等级,并匹配相应的线路回数、串补度、开关站等。以往多采用BPA仿真软件通过连续潮流算法得到,但该方法计算调整复杂且费时,需对多种送电需求情况进行分析时计算量尤为庞大。提出一种基于交流线路输电能力的算法,采用Matlab软件编程实现交流输电模型建模及经济性优选方法。该方法可以在考虑电网强度等因素情况下,采用热限制、电压降落限制、稳定限制等约束条件,得到交流线路输电能力曲线。在此基础上,建立超、特高压交流输电模型,结合单位容量年费用比较法进行经济性优选,最终得到满足电源点送电任意输电容量和输电距离需求下的经济性最优交流输电电压等级及其输电模型配置,对于我国输电线路的规划建设具有重要的参考意义和实用价值。
基金supported by the Science and Technology Project of State Grid Corporation of China(No.52467K150007)
文摘Based on analysis of construction and operation of micro integrated energy systems(MIES), this paper presents economic optimization for their configuration and sizing. After presenting typical models for MIES, a residential community MIES is developed by analyzing residential direct energy consumption within a general design procedure. Integrating with available current technologies and local resources, the systematic design considers a prime mover, fed by natural gas, with wind power, photovoltaic generation, and two storage devices serving thermal energy and power to satisfy cooling, heating and electricity demands. Control strategies for MIES also arepresented in this study. Multi-objective formulas are obtained by analyzing annual cost and dumped renewable energy to achieve optimal coordination of energy supply and demand. According to historical load data and the probability distribution of distributed generation output,clustering methods based on K-means and discretization methods are employed to obtain typical scenarios representative of uncertainties. The modified non-dominated sorting genetic algorithm is applied to find the Pareto frontier of the constructed multi-objective formulas. In addition, aiming to explore the Pareto frontier, the dumped energy cost ratio is defined to check the energy balance in different MIES designs and provide decision support for the investors. Finally, simulations and comparision show the appropriateness of the developed model and the applicability of the adopted optimization algorithm.
