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PowerControlSchedulingandRoutinginUWBnetworks
- UWB 功率控制 容量 Main Matlab scr ipt is in runsim.m. It generates random topologies, optimizes, and display results. IMPORTANT: you may need to add manually the lib path in Matlab in order to get all the necessary functions. Reference:
CDTcode
- 电力系统CDT规约 本标准规定了电网数据采集与监控系统中循环式远动规约的功能、帧结构、信息字结构和传输规则等。 本标准适用于点对点的远动通道结构及以循环字节同步方式传送远动设备与系统。本标准还适用于调度所间以循环式远动规约转发实时信息的系统。 -power system CDT Statute of the standard grid control and data acquisition system cycle remote Statute of the gong can, f
vxworks1
- 在电力行业中的应用,vxworks的应用程序,其中包括消息,信号量,和多任务调度的应用-in the power industry, the application vxworks applications, including news, semaphores, and multi-task scheduling application
runduopf
- 最优潮流计算，可用于电力系统输电阻塞管理，经济调度等-optimal power flow calculation can be used in electricity transmission congestion management system, economic scheduling
rates
- 基于CPLEX半连续变量求解发电机组单时段经济调度问题，给定负荷需求，求每台发电机输出P=0或Pmin<=P<=Pmax,使发电成本最小。-Semi-continuous variable based on CPLEX to solve a single period of economic generator scheduling problem, given the load demand, seeking each generator output P = 0 or Pmin
SCFDMA
- SC-FDMA Introduction and Background Implementation in 3GPP LTE Peak Power Characteristics of SC-FDMA Signals Uplink Resource Scheduling in SC-FDMA Systems Summary and Conclusions
Simplescalar_all
- ＳｉｍｐｌｅＳｃａｌａｒ，功能很强的处理器级别仿真工具，可以对操作系统的进程线程功耗调度进行多方面仿真-SimpleScalar, features a strong processor-level simulation tool that can process the operating system thread scheduling for multidimensional simulation of power
Scheduling-DAGs-For-Minimum-Finish-Time-and-Power
- Thesis : Scheduling DAGs For Minimum Finish Time and Power Consumption on Heterogeneous Processors
power-system-smartmarket
- 电力系统智能电力市场运营的matlab的验证程序，能够计算出调度的市场经济优化程度。-Power system intelligent electricity market operator matlab verification process, be able to calculate the degree of optimization scheduling market economy.
Optimal stochastic reactive power scheduling in a microgrid considering voltage droop scheme of DGs and uncertainty of w
- Distributed Generators (DGs) in a microgrid may operate in three different reactive power control strategies, including PV, PQ and voltage droop schemes. This paper proposes a new stochastic programming approach for reactive power scheduling of a mic
CBBO
- 混沌BBO算法求解电力调度问题，包括对测试函数的测试以及求解电力经济调度问题-Chaos BBO algorithm for power scheduling problems, including the test function testing and problem solving economic dispatch of power
zhou2012
- Smart grid is a new emerging technology which is able to intelligently control the power consumption via network. Therefore, the efficiency of the information exchange between the power suppliers (or control centers) and power customers is an
Optimal Charge Scheduling of PHEV in A Multi-Carrier Energy
- The presence of different energy carriers as well as the advent of new multi-generation technologies such as combined heat and power (CHP) at homes necessitates designing an integrated model for optimal operation of such multi-carrier energy home. A
Optimal-Power-Control--Scheduling--and-Routing-in
- Optimal Power Control, Scheduling, and Routing in UWB Networks
01179377
- A Robust Online Secondary Path Modeling Method With Auxiliary Noise Power Scheduling Strategy and Norm Constraint Manipulation
ANC
- Robust Auxiliary-Noise-Power Scheduling in Active Noise Control Systems With Online Secondary Path Modeling
load scheduling by genetic algorithm
- this research paper is based on Load scheduling in power system by genetic algorithm
SCHEDULING
- [18] Relay Selection and Resource Allocation for D2D-Relaying under Uplink Cellular Power Control
Microgrid optimal scheduling
- 文章以含有蓄电池、光伏、风机以及负荷的微电网为研究对象，在考虑蓄电池充放电约束、微电网与电网功率交换约束等条件下，建立了以负荷平均供电单价最小为目标的日前优化调度模型。并利用改进交叉算子的遗传算法进行求解。以某典型微电网为例进行建模与求解，得到了微电网日前优化调度方案，实现了微电网的经济稳定运行(Taking the micro-grid with storage battery, photovoltaic, fan and load as the research object, consid
MFO+Pf
- 借用MFO算法实现对于火电机组调度问题的优化，在处理约束变量时使用了stochastic ranking的方法(The MFO algorithm is adopted to optimize the scheduling problems of thermal power units. When dealing with constraint variables, the stochastic ranking method is adopted)