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- optimal power load 优化功率加载
- A chance constrained programming model is built to the stochastic optimal power flow problem(S-OPF)considering load probabilistic distributions. 针对考虑负荷概率分布的随机最优潮流问题,建立了相应的机会约束规划模型。
- Power load management system can provide important supports for DSM. 摘要电力负荷管理系统可为需求侧管理提供重要的技术支持。
- There are lots of factors influencing power load and all of them possess indetermination. 影响电力负荷的因素很多，而且这些因素都具有不确定性，即这些信息具有模糊性。
- This procedure abdicates the solution of optimal power flow problem with Newton-Raphson. 该程序用牛顿-拉夫逊法计算潮流,拉格朗日函数和网损微增率法求无功功率最优化补偿。
- This is normal -- the CVT is adjusting the engine speed to provide optimal power for acceleration. 而这是正常的--CVT正在调节发动机速度，以便为加速提供最佳动力。
- A power load experiment of static characteristic and dynamic characteristic is tested on the welding inverter (25kHz). 设计的控制系统在自行研制的逆变焊机(25kHz)上进行了功率负载实验，并采集了相应的电压波形，对外特性和动特性两方面进行了研究。
- Thirdly, the model of Optimal Power Flow (OPF) with UPFC is established, and solved by interior point method. 然后,建立了计及UPFC的最优潮流数学模型,并用内点法进行求解。
- A power load modeling system founded on measurement-based method is presented in brief. 介绍了基于总体测辨法的电力负荷建模系统的功能和界面,其功能主要包括静态负荷建模和动态负荷建模。
- Optimal Power Flow (OPF) can be defined as a typical flexible nonlinear programming problem with many targets. 电力系统最优潮流问题是典型的具有可伸缩性的多目标非线性规划问题。
- To make perdition in an effective way, power load forecasting model based on BP neural network is established. 在此基础上,为了对河北省南部电网月用电量进行有效的预测,建立了BP神经网络的负荷预测模型。
- G. Opoku, “Optimal Power System VAR Planning,” IEEE Transactions on Power Systems, Vol. 5, No. 1, pp. 53-60, 1990. 田文村，应用加强型基因演算法解电力系统经济调度问题，硕士论文，国立中正大学电机工程研究所，民国88年1月。
- Load used for test has the features of small refiection coefficient and big power load. 测度用负载具有发射系数小，承载功率大的特点。
- This paper introduced a model of Multi-objective Optimal Power Flow, which taken both market benefit and system security as optimal objective. 摘要介绍了一个把电力系统安全性和市场效益同时作为优化目标的多目标最优潮流计算模型。
- On the basis of chaotic time series,this paper uses the BP neural network method to forecast the power load,and analyzes the model characteristic. 在混沌时间序列的基础上,应用BP神经网络对电力负荷进行了预测,并对模型特性进行了分析。
- Then it is integrated into standard optimal power flow (OPF) formulation, and set up a new ATC model considering angle stability and voltage stability. 因此，用线路传输有功功率极限近似简洁地表达这2种复杂约束的方法，建立考虑功角和电压稳定约束的可用输电能力新模型。
- According to the trait of power load, this paper proposes a PSO based fuzzy neural network model for short-term load forecasting. 摘要针对短期负荷预测的特点，提出基于粒子群(PSO)优化的模糊神经网络短期负荷预测模型。
- A novel two-swarm based PSO algorithm (TSPSO) with roulette wheel selection was proposed to solve optimal power flow problem. 提出一种带赌轮选择的双种群粒子群优化算法(TSPSO)求解最优潮流问题。
- This paper studies the distributed power load data warehouse on the basis of data market, based on the analysis of the characteristics of power grid. 本文在分析电网负荷特性的基础上,建立了基于数据集市的分布式电力负荷数据仓库。
- Fast and robust optimal power flow(OPF) algorithm becomes the key of calculation and running control for large scale system. 快速、稳定的最优潮流算法已经成为大规模电力系统计算与运行控制的关键。
