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inequality constrains
相关语句
  不等式约束
    Based on the general OPF module and under multi-contingences conditions, all swing equations of generators will be converted into numericalequivalent algebraic equations set by using the implicit trapezoidal rule, and are involved in equality constrains set; all rotors' angles related to COI are used to be inequality constrains.
    利用隐式梯形积分规则,将各个故障下电力系统所有发电机转子运动方程差分化作为等式约束,把发电机转子相对摇摆角极限作为不等式约束,二者作为暂态稳定条件加入最优潮流当中,建立了多预想故障暂态稳定约束最优潮流模型,并利用现代内点理论对模型进行求解。
短句来源
    The maximal electric power load of the accepting region is chosen as the objective function, and difference equations of the rotors movement are introduced as equality constrains, and inequality constrains include node voltages, the offsets of the rotor angles with relative to the inertia centre angle of the whole system, the line active powers and generator active powers of feeding region.
    该问题以受电区域所能带的最大负荷值为目标函数,将转子运动方程差分化,形成一系列代数方程,而后作为等式约束引入,以节点电压、发电机转子相对全系统惯性中心的角度差、线路有功功率以及送电区发电机有功功率构成不等式约束
短句来源
    The results of several test systems show that this proposed algorithm has stable convergence, good optimization accuracy, flexibility, strong ability to deal with variable and function inequality constrains, and is suitable for solving multiobjective optimization problem of large scale power system.
    对几个试验系统的计算表明,该算法具有稳定的收敛性能,优化结果精确,灵活方便,处理变量不等式约束和函数不等式约束的能力很强,适合于求解大规模电力系统的多目标优化问题
短句来源
    This paper proposes the method of SQP ( sequential quadratic programming) to calculate voltage/reactive power optimization power flow,considering the minimum losses of transmission line as objective function,the reactive power flow equations as equality constrains and the ranges of a set of voltage and control variables as inequality constrains.
    以网络有功损耗最小为目标函数 ,考虑潮流无功平衡方程的等式约束和一系列电压和控制变量的不等式约束 ,使用 SQP序列二次规划法计算电压无功优化潮流。
短句来源
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  inequality constrains
Inequality constrains on the measured variables can be handled using quadratic programming methods.
      


Fuzzy set theory and nonlinear primal-dual path following interior point method is used for solving multiobjective optimal power flow problem with soft constraints. By selecting suitable acceleration factor the convergence is improved. Furthermore, the results of multiobjective fuzzy optimization are compared with the ones of nonlinear optimal flow problem with single object function. The results of several test systems show that this proposed algorithm has stable convergence, good optimization accuracy, flexibility,...

Fuzzy set theory and nonlinear primal-dual path following interior point method is used for solving multiobjective optimal power flow problem with soft constraints. By selecting suitable acceleration factor the convergence is improved. Furthermore, the results of multiobjective fuzzy optimization are compared with the ones of nonlinear optimal flow problem with single object function. The results of several test systems show that this proposed algorithm has stable convergence, good optimization accuracy, flexibility, strong ability to deal with variable and function inequality constrains, and is suitable for solving multiobjective optimization problem of large scale power system.

将模糊集理论和非线性原- 对偶路径跟踪内点法应用于求解具有可伸缩约束的多目标最优潮流问题,选择合适的加速因子以改善算法的收敛性,并与单目标非线性最优潮流问题的计算结果进行了比较。对几个试验系统的计算表明,该算法具有稳定的收敛性能,优化结果精确,灵活方便,处理变量不等式约束和函数不等式约束的能力很强,适合于求解大规模电力系统的多目标优化问题

This paper proposes the method of SQP ( sequential quadratic programming) to calculate voltage/reactive power optimization power flow,considering the minimum losses of transmission line as objective function,the reactive power flow equations as equality constrains and the ranges of a set of voltage and control variables as inequality constrains.While deducing the objective functions and constrains equations. the angle of voltage is...

This paper proposes the method of SQP ( sequential quadratic programming) to calculate voltage/reactive power optimization power flow,considering the minimum losses of transmission line as objective function,the reactive power flow equations as equality constrains and the ranges of a set of voltage and control variables as inequality constrains.While deducing the objective functions and constrains equations. the angle of voltage is not considered as constant but the active power of transmission lines remains unchanged during the optimization procedure.Moreover,results of the reactive power optimization in Ward & Hale 6,IEEE 14 and 30 bus systems show that this method has stable convergence.

以网络有功损耗最小为目标函数 ,考虑潮流无功平衡方程的等式约束和一系列电压和控制变量的不等式约束 ,使用 SQP序列二次规划法计算电压无功优化潮流。在形成目标函数和约束方程式时 ,没有将电压相角当做常数 ,而是认为支路有功潮流在优化过程中保持不变。对 Ward &Hale 6母线、IEEE 1 4母线和 IEEE 3 0母线系统分别进行电压无功优化计算 ,结果表明文中所述的数学模型有利于优化的收敛

The gradient based algorithm often suffered from local optimal solution when applied to optimal power flow (OPF) problems. Genetic algorithm can also get into local optimal point because of prematurity of populations. A novel algorithm, artificial immune algorithm, is proposed to tackle this problem. The algorithm, inspired by the immune system of human and other mammals, simulates the process of the interaction between antigens, antibodies and lymphocytes. The implement of artificial immune algorithm on OPF...

The gradient based algorithm often suffered from local optimal solution when applied to optimal power flow (OPF) problems. Genetic algorithm can also get into local optimal point because of prematurity of populations. A novel algorithm, artificial immune algorithm, is proposed to tackle this problem. The algorithm, inspired by the immune system of human and other mammals, simulates the process of the interaction between antigens, antibodies and lymphocytes. The implement of artificial immune algorithm on OPF problem is described in the paper. The object function and part of inequality constrains serve as antigen and solution serves as antibody. The stimulation of antibodies helps the convergence of solution near optimal point. The local optimal solution can be avoided by the interaction between memory cells and antibodies. The proposed algorithm was tested on IEEE 30 bus system. The result demonstrated the feasibility of the algorithm.

基于一阶或二阶梯度的优化算法在计算电力系统最优潮流时经常陷入局部最优点 ,模拟进化算法具有较好的全局搜索能力 ,但是有时也由于过早成熟的现象而陷入局部最优点。文中提出了一种计算电力系统最优潮流的新算法———人工免疫算法。该算法是根据人或其他高等动物免疫系统的机理而设计的 ,将目标函数和一部分不等式约束条件作为抗原 ,将搜索空间的解作为抗体 ,依据抗原与抗体的结合力以及抗体之间的结合力对解进行评价和选择 ,通过抗体之间的相互激励作用提高了最优点附近的搜索效率 ,通过记忆细胞对抗体的抑制作用有效地摆脱局部最优点。应用此算法进行电力系统最优潮流计算 ,对IEEE 30节点系统的计算结果说明了该算法的有效性

 
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