qc-an Goto Github PK

anciml

Spring 2020 CE2095 Final Project for predicting / optimizing ancillary services by grid-scale batteries

basopra

BASOPRA - BAttery Schedule OPtimizer for Residential Applications. Daily battery schedule optimizer (i.e. 24 h optimization framework), assuming perfect day-ahead forecast of the electricity demand load and solar PV generation in order to determine the maximum economic potential regardless of the forecast strategy used. Include the use of different applications which residential batteries can perform from a consumer perspective. Applications such as avoidance of PV curtailment, demand load-shifting and demand peak shaving are considered along with the base application, PV self-consumption. Different battery technologies and sizes can be analyzed as well as different tariff structures. Aging is treated as an exogenous parameter, calculated on daily basis and is not subject of optimization. Data with 15-minute temporal resolution are used for simulations. The model objective function have two components, the energy-based and the power-based component, as the tariff structure depends on the applications considered, a boolean parameter activate the power-based factor of the bill when is necessary.

batterycontrolsystem

cai

Labs for the subject Cerca i Anàlisi de la Informació

chancedpa

Implements a dynamic programming algorithm solving a joint probabilistic constraint.

covid_19_enterprise_data_science

enterprise data science

dfig-model-matlab-simulink

Model of the Doublé Fed Induction Generator (DFIG), applied to wind generation developed in Matlab Simulink

dynamo

A modular MATLAB toolkit for Dynamic programming (DP) and Approximate Dynamic Programming (ADP) for Adaptive Modeling and Optimization

energy-revenue-optimizing

− Predicted regulation throughput ratio by linear regression, regression tree and LSTM − Optimized the operation of the battery with maximum revenue by predicting the future electricity price with ARIMA, SARIMA, LSTM models and thus determine the charge operation − Developed UI to provide engagement with consumers and the potential market

energy_and_reserves_dispatch_with_drjcc

Electronic companion for research paper "Energy and Reserves Dispatch with Distributionally Robust Joint Chance Constraints"

gedm

GEDM is a tool for estimating the capacity and generation mixes of energy technologies in large-scale electricity systems.

gridcal

GridCal, a cross-platform power systems solver written in Python with user interface and embedded python console

gridiqrl

GridIQRL: A Reinforcement Learning-Based Tool for Distribution Network Reconfiguration

interview-notebook

:books: 技术面试需要掌握的基础知识整理，欢迎编辑~

jh-notes

mas-technique----analytical-optimization-of-grid-supports-by-converters

supporting the grid voltage and proper operation of the grid-connected converters (GCCs) under a wide range of grid voltage conditions have become major requirements. An analytical study is very useful for evaluating the supporting capability of the available control strategies in GCCs. This paper analytically studies, then modifies the supporting capability of three existing strategies. The contribution of this paper is two-fold: first, analytical expressions of instantaneous active/reactive powers oscillation and maximum phase currents are formulated and used to conduct several comparisons among different strategies. Second, based on the obtained formulas for the maximum phase currents, maximum allowable support (MAS) control schemes are proposed under unbalanced voltage conditions. The MAS control schemes have two important objectives: obtaining maximum active or reactive power delivery and simultaneously respecting the maximum phase currents under the unbalanced condition. The proposed equations can further estimate the maximum depth of the faulted voltage where each strategy is still able to satisfy the voltage support requirements imposed by the grid codes. The proposed expressions can also help all techniques to provide their maximum voltage or frequency support under the pre-set maximum phase current limitations. Different selected simulation and experimental tests are carried out for comparing the strategies, and validating the effectiveness of the proposed MAS equations.

microgrid-dispatch-simulator

Models and simulation loops for energy management and power and load dispatch in community microgrids with distributed energy

microgrid-mpc

Repo for project/master thesis for optimisation of microgrid using MPC.

microgrid_casestudy

microgrid_dsm_tea_model

Basic version of the micro-grid model to simulate technical and economic performance of micro-grids with demand-side management capabilities.

model-predictiive-control--mpc-

Frequency Control in a power system

my_blog

mysummary

My Design Philosophy Summary (Most of them are in Chinese)

nordic5

A 5 machine representation of the Nordic synchronous power system.

ocr

osesmo

Open Source Energy Storage Model

pjme-hourly-energy-data-prediction

PJM Interconnection LLC (PJM) is a regional transmission organization (RTO) in the United States. It is part of the Eastern Interconnection grid operating an electric transmission system serving all or parts of around 9-10 states in Usa. The hourly power consumption data comes from PJM's website and are in megawatts (MW).

powersystemvoltagecontrolmpc

pscad-file-distc-hiaf-model

It's a model to simulate the arc of high impedance fault in the distribution power system. This model has been published in M. Wei, W. Liu, F. Shi, Z. Jin, H. Zhang and W. Chen, "Distortion-Controllable Arc Modelling for High Impedance Arc Fault at the Distribution Network," in IEEE Transactions on Power Delivery, doi: 10.1109/TPWRD.2020.2981376.

pyspd

Simple version of SPD for analysis