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2017_modelicaconf_vsc-hvdc_avm_model

A Modelica VSC-HVDC Average Value Model Implementation - Modelica models presented in a paper of the 12th International Modelica Conference.

adn-rt-emtp-model

Active Distribution Network Power System Model for Dynamics, Stability and Control Analysis

akshare

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

andes

Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥

andes-feedstock

A conda-smithy repository for andes.

andes.jl

Julia interface for ANDES, a power system tool for symbolic modeling and numerical simulation

ann-dse

Artificial Neural Network based Power System Dynamic State Estimation

atp-cases-generator

A tool to automatically generate the ATP software input files from the technical information of the electrical power systems.

atp-hwlrelay

Foreign C language model for EMTP/ATP of a relay for Half-wavelength Power Transmission Lines

atpmat

auxhvdc

The user-defined framework of the HVDC auxiliary control in PSSE and PSLF

awesome-iot

Awesome IoT. A collaborative list of great resources about IoT Framework, Library, OS, Platform

bembel

The BEM-based engineering library

benchmarking-state-estimators

Comparing EnKF and WLS state estimators in power distribution networks equipped with smart meters and phasor measurement units

bpa-ipf-tsp

Bonneville Power Administration Interactive Power Flow and Transient Stability Program

bpa_emtp

Electromagnetic Transients Program (EMTP) of Bonneville Power Administration (BPA)

call_py_fort

Call python from fortran

centaur

Python-based hybrid power system / microgrid simulation program (similar to HOMER, Hybrid2) with functional GUI

cnc_remastered_collection

codon

A high-performance, zero-overhead, extensible Python compiler using LLVM

course-python-pscad

English version of the course to automate PSCAD using Python

csv2

Blazing fast, single-threaded CSV parser

curso-python-pscad

dian

A Symbolic Power System Analysis Toolbox

digsilent

Python Scripts and Resultbox-Parameters for Digsilent PowerFactory 2019

distribution-grid-identification

A simulation framework for topology identification and model parameter estimation in power distribution grids

docker_dss

Build and run EPRI's OpenDSS software in a Docker container

dpsim

Real-time power system simulator including powerflow, (dynamic) phasors and EMT

drl-for-microgrid-energy-management

We study the performance of various deep reinforcement learning algorithms for the problem of microgrid’s energy management system. We propose a novel microgrid model that consists of a wind turbine generator, an energy storage system, a population of thermostatically controlled loads, a population of price-responsive loads, and a connection to the main grid. The proposed energy management system is designed to coordinate between the different sources of flexibility by defining the priority resources, the direct demand control signals and the electricity prices. Seven deep reinforcement learning algorithms are implemented and empirically compared in this paper. The numerical results show a significant difference between the different deep reinforcement learning algorithms in their ability to converge to optimal policies. By adding an experience replay and a second semi-deterministic training phase to the well-known Asynchronous advantage actor critic algorithm, we achieved considerably better performance and converged to superior policies in terms of energy efficiency and economic value.

drl-powerworld

Deep reinforcement learning with PowerWorld