Description: ％ 该Matlab程序基于牛顿－拉夫逊算法，用于计算已知导纳矩阵、PQ节点、PV节点、平衡节点(UA)的电力网络潮流
％ U - 各节点母线电压 S - 各节点注入功率 S_net - 电力网络总损耗
％ PQ_P - 实算PQ节点注入有功功率 PQ_Q - 实算PQ节点注入无功功率
％ delt_PQ_P - 实算PQ节点有功功率修正值 delt_PQ_Q －实算PQ节点无功功率修正值
％ delt_UA_P - 实平衡节点有功功率修正值 delt_U_2 - 实平衡节点电压平方修正值
％ delt_PQV - 实算P Q U^2修正值 J - 雅可比矩阵
％ e - 电压实部 f - 电压虚部 delt_ef - 电压实部与虚部修正值- The Matlab program based on the Newton- Raphson algorithm is used to calculate the admittance matrix is known, PQ node, PV node, the node balance (UA) the trend of the electricity networks U- the node bus voltage S- each node injection power S_net-- The total loss of electric power networks PQ_P- operator PQ is injected into active nodes PQ_Q- operator PQ is injected reactive power node delt_PQ_P- is considered the correct value of active power PQ node delt_PQ_Q- really count PQ node reactive power to amend the value of delt_UA_P- real active power balance of the correct value of the node delt_U_2- node voltage balance is the correct value of the square of delt_PQV- really count PQU ^ 2 the correct value of J- Jacobian matrix e- voltage real part f- the imaginary part of voltage delt_ef- voltage real part and imaginary part of the amendment value Platform: |
Size: 7168 |
Author:mmcc |
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Description: 本文对风电场—无穷大系统进行了简单的仿真分析，主要包括小干扰稳定分析，风电场的并网、负荷扰动以及联络线故障时的暂态分析。然后以达里风电场所在系统为例，在稳态分析和暂态分析的基础上计算风电场允许接入最大容量。
-In this paper, Wind Farm- infinite simple system simulation analysis, including small signal stability analysis, wind farm and the net tie-line load disturbances, as well as the failure of the transient analysis. And then wind up in the host system as an example, in the steady-state analysis and transient analysis based on the calculation of the largest wind power capacity to allow access. Platform: |
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Author:Eason.Yuan |
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Description: Short, medium and long term load forecasting model and virtual load
forecaster based on radial basis function neural networks
Changhao Xia a,b,*, Jian Wang b,*, Karen McMenemyc
a College of Electrical Engineering and Information Technology, China Three Gorges University, Yichang Hubei 443002, China
b School of Mechanical and Aerospace Engineering, Queen’s University, Belfast, Northern Ireland BT9 5AH, UK
c School of Electronics, Electrical Engineering and Computer Science, Queen’s University, Belfast, Northern Ireland BT9 5AH, UK
a r t i c l e i n f o
Article history:
Received 26 March 2008
Received in revised form 30 September
2009
Accepted 28 January 2010
Available online xxxx
Keywords:
Electric load forecasting
Radial basis function
Neural network
Virtual instrument
a b Platform: |
Size: 309248 |
Author:ali |
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Description: 国际上关于互连型分布式
电力资源系统的二级网络
相关的推荐实践
-
IEEE Recommended Practice for
Interconnecting Distributed
Resources with Electric Power
Systems Distribution Secondary
Networks Platform: |
Size: 601088 |
Author:雾夜飞牛 |
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Description: Modern electric power systems are complex networks with hundreds of generating stations and thousands of load centers are interconnected through long power transmission and distribution networks. Power quality is major concern in industries today because of enormous losses in energy and money. With the advent of myriad sophisticated electrical and electronic equipment, such as computers, programmable logic controllers and variable speed drives which are very sensitive to disturbances and non-linear loads at distribution systems produces many power quality problems like voltage sags, swells and harmonics and the purity of sine waveform is lost. Voltage sags are considered to be one of the most severe disturbances to the industrial equipments. Platform: |
Size: 2447360 |
Author:sadegh |
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Description: Short-term electrical load forecasting is vital for the efficient operation of electric power systems.
A power grid integrates many stake holders who can be affected by an inaccurate load forecast: power generation utilizes 24-hour or 48-hour ahead forecasts for operations planning Platform: |
Size: 698434 |
Author:fellahi79 |
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