PPFdemos-master
所属分类：其他
开发工具：matlab
文件大小：26KB
下载次数：9
上传日期：2021-01-31 09:44:10
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说明： 在这里，我们提供演示以分析概率潮流问题。该演示包括解决概率潮流的几种方法
问题（PPF）。 我们采用蒙特卡洛模拟方法，近似贝叶斯计算方法
(Here, we present demos to analyze probabilistic power flow problems.
This Demo includes several methods for addressing the Probabilistic power flow
problem (PPF). We employ the Monte Carlo simulation method and different
approx imate Bayesian computation methods.)
文件列表:
ComputeSbus.m (808, 2018-03-03)
DemoIEEE6BusTestSystem.m (17103, 2018-03-03)
MakeYbus.m (2015, 2018-03-03)
NR_Alg.m (563, 2018-03-03)
dSbus_dV.m (3801, 2018-03-03)
get_PotInj.m (247, 2018-03-03)
get_jacobian.m (323, 2018-03-03)
mpoption.m (63478, 2018-03-03)
multinomialR.m (1086, 2018-03-03)
newtonpf_Alg.m (4708, 2018-03-03)
residualR.m (1342, 2018-03-03)
systematicR.m (1496, 2018-03-03)
# Probabilistic Power flow demos
Here, we present demos to analyze probabilistic power flow problems.
This Demo includes several methods for addressing the Probabilistic power flow
problem (PPF). We employ the Monte Carlo simulation method and different
approximate Bayesian computation methods. This code is based in the following
documents:
Zuluaga C.D., Alvarez M.A. (2017) Approximate Probabilistic Power Flow.
In: Woon W., Aung Z., Kramer O., Madnick S. (eds) Data Analytics for
Renewable Energy Integration. DARE 2016. Lecture Notes in Computer
Science, vol 10097.
Zuluaga C.D., Alvarez M.A. (2018) Bayesian Probabilistic Power Flow Analysis
Using Jacobian Approximate Bayesian Computation, to appear at IEEE Transactions
on Power Systems
Dependencies
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* MATPOWER
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