hustee

hustee's Stars

• GenXProject/GenX.jl

  GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

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• GridMod/RTS-GMLC

  Reliability Test System - Grid Modernization Lab Consortium

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• switch-model/switch

  A Modern Platform for Planning High-Renewable Power Systems

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• blue-marble/gridpath

  A versatile simulation and optimization platform for power-system planning and operations.

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• WHUzxp/Reprinted_Applied_Energy

  复刻论文Applied Energy的论文A bi-layer optimization based temporal and spatial scheduling for large-scale electric vehicles，包含考虑电动汽车有序充放电的机组组合和最优潮流

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• xb00dx/ConvertChanceConstraint-ccc

  ConvertChanceConstraint (ccc): a Matlab toolbox for Chance-constrained Optimization

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• tim283/smpc_example

  Short example of MPC and specifically stochastic MPC (SMPC) with chance constraints for Matlab.

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• AsprinChina/EnergyCircuitTheory-EnergyFlowCalculation

  数值实验代码 for 《综合能源系统分析的统一能路理论(三)：稳态与动态潮流计算》

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• sellali360/LPV

  This algorithm exhibits a robust Energy Management Strategy (EMS) for battery-super capacitor (SC) Hybrid Energy Storage System (HESS). The proposed algorithm, dedicated to an electric vehicular application, it is based on a self-gain scheduled controller, which guarantees the H performance for a class of linear parameter varying (LPV) systems.

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• jk2319/model-predictive-control-demand-response

  MATLAB code on project: Role of Energy Positive Buildings in Future Low-Carbon Energy Systems.

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• KIT-IAI/rapidPF

  Matlab code to generate distributed power flow problems.

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• whoiszyc/IntelliHealer

  IntelliHealer: An imitation and reinforcement learning platform for self-healing distribution networks

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• deep-daya/Grid_Scale_Energy_Storage_Q_Learning

  Final Project for AA 228: Decision-Making under Uncertainty Abstract: Grid-scale energy storage systems (ESSs) are capable of participating in multiple grid applications, with the potential for multiple value streams for a single system, termed "value-stacking". This paper introduces a framework for decision making, using reinforcement learning to analyze the financial advantage of value-stacking grid-scale energy storage, as applied to a single residential home with energy storage. A policy is developed via Q-learning to dispatch the energy storage between two grid applications: time-of-use (TOU) bill reduction and energy arbitrage on locational marginal price (LMP). The performance of the dispatch resulting from this learned policy is then compared to several other dispatch cases: a baseline of no dispatch, a naively-determined dispatch, and the optimal dispatches for TOU and LMP separately. The policy obtained via Q-learning successfully led to the lowest cost, demonstrating the financial advantage of value-stacking.

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• montefiore-institute/gradient-energy-matching

  Manuscript and code for the paper "Gradient Energy Matching for Distributed Asynchronous Gradient Descent".

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• slacgismo/TESS

  Transactive Energy Service System

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• utaresearch/opfsolver

  SDP solver of Optimal Power Flow

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• nathancoliver/Weibull_Distribution_Wind_Power_Project

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• utkarshapets/microgrid-RL

  Microgrid/distribution network level energy market managed by an RL agent

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• yizcheng-574/research-TCL

  Simulation for residential load demand response

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• vkris83/HiFi_ESD_PC

  High Fidelity Energy Storage Dispatch in Production Costing Model

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• EdwardBarbour/MILP_vs_Find_batt_scheduler

  Uses data from the data driven battery scheduling competition; introduces battery scheduling using MILP; compares to the find optimisation method I developed for the competition

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• greciaro/Solar-Cells-Fuel-Cells-Batteries-and-Supercapacitors

  Energy storage and conversion systems

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• goghino-archive/SCOPFopt

  Security constrained optimal power flow problems: A study of different optimization techniques

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• dim666dim/A-novel-DRO-model-for-self-scheduling-problem

  This study is using distributionally robust optimization (DRO) algorithm with conditional value-at-risk (CVaR) to solve self-scheduling problem to obtain a suitable and adjustable self-scheduling strategy

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• mcraig10/StorageCode

  GAMS and Python scripts underlying paper on how storage affects carbon dioxide emissions from a power system as it decarbonizes.

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• ivbeuz/imes

  Optimal investment planning of integrated urban energy systems

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• purboday/UGridAuction

  Microgrid Multi Agent Auction Implementation using RIAPS

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• martin4396/Reinforcement-learning-Notes

  强化学习David Silver课程笔记

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• missinglpf/PhD_code

  r and matlab code, datasets, published papers for my phd study 2011-2015

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• noahrhodes/RTS-GMLC

  Reliability Test System - Grid Modernization Lab Consortium

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