IEEEWLX's Stars
roanhope/OptimalBiddingMicroGrid
A Reinforcement Learning agent for an energy bidding problem in a simulated MicroGrid
roanhope/PhD-Softwares
roanhope/modellib
Library of models for microgrid applications: renewables, storage, etc.
roanhope/HEV_EMS_DP
Implementation of Dynamic Programming for Energy Management of Hybrid Electric Vehicle
hustee/Multi-Objective-Optimization-of-Distributed-Energy-Systems-under-Grid-Faults
Recently, riding through grid faults and supporting the grid voltage by using grid-connected converters (GCCs) have become major requirements reflected in the grid codes. This paper presents a novel reference current generation scheme with the ability to support the grid voltage by injecting a proper set of positive/negative active/reactive currents by using four controlling parameters. Analytical expressions are proposed to obtain the optimal values of these parameters under any grid voltage condition. The optimal performances can be obtained by achieving the following objectives: first, compliance with the phase voltage limits, second, maximized active and reactive power delivery, third, minimized fault currents, and fourth reduced oscillations on the active and reactive powers. These optimal behaviors bring significant advantages to emerging GCCs, such as increasing the efficiency, lowering the dc-link ripples, improving ac system stability, and avoiding equipment tripping. Simulation and experimental results verify the analytical results and the proposed expressions.
hustee/Algorithms_MathModels
【国赛】【美赛】数学建模相关算法 MATLAB实现
hustee/A-Modified-Binary-PSO-to-solve-the-Thermal-Unit-Commitment-Problem
An interesting way of solving the thermal scheduling problem in power systems.
hustee/free-books
互联网上的免费书籍
MATPOWER/matpower
MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave
NikhilMJ/Micro-Grid-Power-Management
Efficient management of electric power within a micro-grid
juchengquan/Two_Layer_EMS
Code for IEEE Transactions: A Two-Layer Energy Management System for Microgrids With Hybrid Energy Storage Considering Degradation Costs.
ricovangenugten/Hybrid-Vehicle-DP-Optimization
Optimizing a hybrid electrical vehicle using matlab and the dynamic programming algorithm
gsiano96/EnergyManagementSystem
Energy Management System for photovoltaic field with both storage and the connection to eletricity grid
akkerd/Hybrid-grid-simulation
Smart Grid simulation for energy efficiency using renovable energy
microgrid/matlab-microgrid-components
A simulation to find the optimized sizes of microgrid components (PV and battery) constrained by a certain acceptable loss of load percentage and by budget. This simulation is written by Stefano Mandelli and expanded by Håkon Duus.
jahnludvik/Micro-Grid-Power-Management
Efficient management of electric power within a micro-grid
bajaiii/MSc-Project-Impact-of-Residential-PV-and-Battery-Storage-on-the-Distribution-System
MSc Future Power Networks Final Project - Modelling of LV Distribution System (IEEE low-voltage test feeder network) using OpenDSS to determine steady-state operating points of the network
OffGridEnergy/offgrid-solar-power-system
Algorithm optimizes sustainable energy generation systems for off-grid applications. http://docdro.id/0NZBaoE
hmohebbi/Multi-Objective-GA
Design a multi-objective genetic algorithm to solve the two objective functions
ttopcu/MicroGrid_CaseStudy
dfpasdel/Intelligent_EMS
t2abdulg/HRES_Model
Dynamic Modelling of Hybrid Renewable Microgrid Systems via MATLAB
jokerwenxiao/Energy-Management-System-in-the-Microgrid
ahmadi26/Electrical-Vehicle-V2G
electrical vehicle
bises/Electrical-Vehicle-modelinng-in-matlab
Electrical Vehicle Simulation in Matlaba
mshalvagal/OptimalBiddingMicroGrid
A Reinforcement Learning agent for an energy bidding problem in a simulated MicroGrid
ethz-pes/multi_objective_optimization_matlab
MATLAB Tool for Multi-Objective Optimization
vaaiibhav/Multiobjective-Based-Large-Scale-Electric-Vehicle-Charging-Analysis
Multiobjective Based Large-Scale Electric Vehicle Charging Behaviours Analysis
masoudshab/Multi-Objective-Optimization-of-Distributed-Energy-Systems-under-Grid-Faults
Recently, riding through grid faults and supporting the grid voltage by using grid-connected converters (GCCs) have become major requirements reflected in the grid codes. This paper presents a novel reference current generation scheme with the ability to support the grid voltage by injecting a proper set of positive/negative active/reactive currents by using four controlling parameters. Analytical expressions are proposed to obtain the optimal values of these parameters under any grid voltage condition. The optimal performances can be obtained by achieving the following objectives: first, compliance with the phase voltage limits, second, maximized active and reactive power delivery, third, minimized fault currents, and fourth reduced oscillations on the active and reactive powers. These optimal behaviors bring significant advantages to emerging GCCs, such as increasing the efficiency, lowering the dc-link ripples, improving ac system stability, and avoiding equipment tripping. Simulation and experimental results verify the analytical results and the proposed expressions.
Electromaxim/electricity_load_forecast
Electricity Load and Price Forecasting