francescomaldonato / RL_VPP_Thesis
Thesis based on the development of a RL agent that manages a VPP through EVs charging stations. Main optimization objectives of the VPP are: Valley filling and peak shaving. Main action performed to reach objectives are: storage of Renewable energy resources and power push in the grid at high demand times. Assumptions of high number of vehicles …
☆30Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for RL_VPP_Thesis
- The code is based on Python 3 and gurobi☆33Updated 5 years ago
- Masterthesis: Reinforcement Learning based Strategic Bidding in the Balancing Market with a Virtual Power Plant☆17Updated last year
- Source code for simulating a Home Energy Management System with Deep Reinforcement Learning☆17Updated last year
- This project implements Q-Learning to find the optimal policy for charging and discharging electric vehicles in a V2G scheme under condit…☆39Updated 2 years ago
- Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.☆28Updated 2 years ago
- Deep reinforcement learning approaches for CHP system economic dispatch☆77Updated 4 years ago
- This repository contains source code necessary to reproduce the results presented in the following paper: Stability Constrained Reinforce…☆28Updated 2 years ago
- A modified IEEE 123 bus feeder in matpower case format(mpc) modified from https://github.com/LucienBobo/SOCP_OPF_Nick2017☆22Updated 4 years ago
- Deep reinforcement learning tool for demand response in smart grids with high penetration of renewable energy sources.☆21Updated 3 months ago
- reinforcement learning for power grid optimal operations and maintenance☆29Updated last year
- This is a Matlab implementation of the SOCP augmented relaxation OPF solution method from (Nick et al, 2017), as studied in (Bobo et al, …☆32Updated 4 years ago
- Deep Reinforcement Learning Techniques for Energy Management of Networked Microgrids☆24Updated 3 years ago
- Participation of an Energy Hub in Electricity and Heat Distribution Markets:☆37Updated 5 years ago
- Harness the power of deep reinforcement learning to optimize your Home Energy Management System (HEMS). Our tailored agent, trained on th…☆14Updated 7 months ago
- TU-Delft-AI-Energy-Lab / MARL-iDR-Multi-Agent-Reinforcement-Learning-for-Incentive-based-Residential-Demand-ResponseCode for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"☆25Updated last year
- Optimizing microgrid performance using reinforcement Learning☆41Updated 5 years ago
- A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.☆67Updated last year
- reinforcement learning for voltage control☆10Updated 5 years ago
- Final Project for AA 228: Decision-Making under Uncertainty Abstract: Grid-scale energy storage systems (ESSs) are capable of participat…☆20Updated 3 years ago
- Optimal energy dispatch with reinforcement learning☆15Updated 5 years ago
- Reinforcement Learning + Microgrids for OpenDSS with the Stanford Microgrid Analysis and Research Training internship☆25Updated 3 years ago
- Master Thesis Project for DRL in power system restoration using renewables☆16Updated 4 years ago
- Explore efficient energy management in renewable communities through the implementation of Model Predictive Control (MPC) and Reinforceme…☆12Updated last year
- Model for paper on IEEE transactions on sustainable energy: Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch …☆56Updated 4 years ago
- Deep reinforcement learning for autonomous energy management☆15Updated 5 years ago
- ieee 33 bus and 69 bus system modelling using pandapower☆41Updated 7 years ago
- This is the Matlab code for the Switch Opening and Exchange (SOE) method used in paper "Switch Opening and Exchange Method for Stochastic…☆24Updated 4 years ago
- Microgrid/distribution network level energy market managed by an RL agent☆13Updated 3 years ago
- source code for the paper:A Constraint Enforcement Deep Reinforcement Learning Framework for Optimal Energy Storage Systems Dispatch☆16Updated last year
- 复现中国电机工程学报《微电网两阶段鲁棒优化经济调度方法》☆37Updated last year