Pinned Repositories
42002_Modelling_of_Power_Systems
42002 - Modelling and Analysis of Sustainable Energy Systems using Operations Research
ARO-GasInfrastructure
Input data and source code for the paper "European Gas Infrastructure Expansion Planning: An Adaptive Robust Optimization Approach"
Benders-Decomposition-Implementation-in-GAMS
capacity-firming-ro
Implementation of a two-stage robust optimization algorithm in the capacity firming framework.
DRoT-1-UNiTED
Final Version of Linear ADMM Model For DCOPF
electricity-gas-ANN
Data and codes for the ANN-based electricity-gas dispatch article on Applied Energy (https://www.sciencedirect.com/science/article/pii/S030626192100043X).
generation-expansion-planning-models
Generation Expansion Planning (GEP) models considering uncertainties on renewable energy resources (RES)
MarkovESValuation
phd-grind
smart-grid
A smart grid simulation with three prosumers each having access to solar energy, wind energy, EV cars and more. The grid is represented as Mixed Integer Optimisation problem and solved using GAMS.
Jieand's Repositories
Jieand/Benders-Decomposition-Implementation-in-GAMS
Jieand/PROTEM
PROTEM PROactive Transmission Expansion Model
Jieand/SIGASUS
Strategic Investment in Generation And Storage UnitS
Jieand/load_shifting
Jieand/Exogenous-Peer-to-Peer-Electricity-Markets
Jieand/EnerPort-WP3-
Co-simulation of Electricity Distribution Networks and Blockchain Energy Trading Platforms
Jieand/sequential_chance_constrained
[OR 2011] Matlab code for Sequential Convex Approximations to Joint Chance Constrained Programs
Jieand/SCUC-using-LODF
Security Constrained Unit Commitment Using Line Outage Distribution Factors
Jieand/gams-python-matrix-inverse
GAMS code using Embedded Code Facility to calculate matrix inverse with Python
Jieand/Appendix-to---A-Scalable-Solution-to-Multi-Stage-Strategic-Generation-Investment-Problems
Jieand/GAMS-Utility
CS 524 Project 2016 FALL
Jieand/GAMS-DC--OPF-
The current DC optimal power flow (OPF) model finds the optimal operating schedules of generating units considering transmission line constraints. The objective function is defined as the total operating costs of generating units. The model type is LP and is applied to a 5 bus PJM test system as described in the following reference: F. Li and R. Bo, "Small test systems for power system economic studies," IEEE PES General Meeting, Minneapolis, MN, 2010, pp. 1-4. doi: 10.1109/PES.2010.5589973 The proposed model is able to handle large scale set of data for practical power system transmission networks. Inputs: Generator costs + technical characteristics (min/max , connection point) Network characteristics (reactances, demands, line flow limits) Outputs: local marginal prices (LMP) Generators outputs Line flows Angle values -------------------------------------------------------------------------------------------- Contributed by Dr. Alireza Soroudi, University College Dublin, Dublin, Ireland. email: alireza.sor
Jieand/stELMOD
stELMOD is a stochastic optimization model to analyze the impact of uncertain wind generation on the dayahead and intraday electricity markets as well as network congestion management. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure resembling the market process of most European markets.