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Jie's Projects

admm icon admm

With the help of the code of the paper "An Alternating Direction Method of Multiplier Based Problem Decomposition Scheme for Iteratively Improving Primal and Dual Solution Quality in Vehicle Routing Problem", it is applied to the VRPTW problem, joint optimization of honey peach picking and distribution.

aro-gasinfrastructure icon aro-gasinfrastructure

Input data and source code for the paper "European Gas Infrastructure Expansion Planning: An Adaptive Robust Optimization Approach"

capacity-firming-ro icon capacity-firming-ro

Implementation of a two-stage robust optimization algorithm in the capacity firming framework.

eld-with-compromise-programme icon eld-with-compromise-programme

using gams to solve ELD, Minimum loss dispatch, compromise dispatch of 4 generators and report on wind generation in electricity market

electricity-gas-ann icon 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).

enerport-wp3- icon enerport-wp3-

Co-simulation of Electricity Distribution Networks and Blockchain Energy Trading Platforms

gams-code_dso-planning-model icon gams-code_dso-planning-model

Gams code developed for the paper: The economics of explicit demand-side flexibility in distribution grids Authors of the paper: Athir Nouicer, Leonardo Meeus and Erik Delarue Code developed by Athir Nouicer

gams-dc--opf- icon 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

gams-optimization-playground icon gams-optimization-playground

In this repository, I have solved various linear, nonlinear, and integer optimization problems. The problems are simple and basic. It will give the users a primary idea of how to use GAMS and will pave the way for more complex problems.

genx icon genx

Configurable electricity resource capacity expansion model implemented in GAMS

lmp-inferring icon lmp-inferring

Reproduce some interesting facts about local marginal prices (LMP) in electricity market

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