This project develops an optimal power flow (OPF) solution for a distribution network with renewable resources and stochastic loads using deep reinforcement learning (DRL). Aiming to minimize power loss and maintain system constraints, it compares DRL-based controllers to traditional methods for efficient, real-time control.
☆14Dec 6, 2024Updated last year
Alternatives and similar repositories for Adaptive-Power-Flow-Control-with-DRL
Users that are interested in Adaptive-Power-Flow-Control-with-DRL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Optimal power flow by using PSO☆13Aug 12, 2019Updated 6 years ago
- Network generation for paper Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks.☆42May 6, 2022Updated 4 years ago
- DRL-based ESSs scheduling environments in distribution networks.☆70Mar 31, 2026Updated 3 months ago
- Optimal design of Distributed Energy Systems (DES) subject to multiphase optimal power flow (MOPF) constraints applicable to distribution…☆11Apr 16, 2023Updated 3 years ago
- Fast-Converged Deep Reinforcement Learning for Optimal Dispatch of Large-Scale Power Systems under Transient Security Constraints☆37Sep 12, 2025Updated 10 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Pytorch implementation of paper: Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization.☆12May 18, 2023Updated 3 years ago
- A toolbox for Distribution Optimal Power Flow (D-OPF) Algorithms☆12Feb 10, 2020Updated 6 years ago
- This is an open-source code for our PESGM 2024 paper: An Imitation Learning Method with Multi-Virtual Agents for Microgrid Energy Optimiz…☆19Apr 9, 2025Updated last year
- Cascading failures in power grids - Propagation and vulnerability analysis. Project work for the PhD course in Data Science for Networks …☆13Oct 28, 2020Updated 5 years ago
- This Python script uses YOLOv8 from Ultralytics for real-time object detection using OpenCV. The script initializes a camera, loads the Y…☆11Sep 6, 2024Updated last year
- Rolling Horizon Wind-thermal Unit Commitment Optimization based on Deep Reinforcement Learning论文代码☆17Dec 13, 2023Updated 2 years ago
- Voltage stability constrained OPF. Contingencies are considered by including additional sets of power flow constraints. Modification of M…☆13Apr 19, 2018Updated 8 years ago
- optimal power flow based on DistFlow☆19Apr 12, 2023Updated 3 years ago
- Machine learning project for forecasting energy demand in a microgrid in Bristol☆10May 12, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Attempting to solve the Optimal Power Flow problem using Graph Neural Networks☆16Nov 8, 2023Updated 2 years ago
- ☆16Oct 9, 2018Updated 7 years ago
- Decentralized deep multi-agent reinforcement learning in physical environments.☆14Aug 19, 2018Updated 7 years ago
- Lightweight multi-agent PPO for IEEE field.☆15Mar 23, 2022Updated 4 years ago
- Here I have implemented an optimal power flow with an aim of minimizing active power loss in a power system using genetic algorithm in MA…☆19May 23, 2018Updated 8 years ago
- Trust-based distributed Kalman filtering for target tracking under malicious cyber attacks☆18May 9, 2024Updated 2 years ago
- Improve MOPSO☆17Mar 22, 2014Updated 12 years ago
- An open source toolbox for LMDI decomposition analysis in Python☆17May 10, 2026Updated 2 months ago
- Attacks and detection technique using matlab simulink in CPS.☆18Jun 22, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Implementations of DQN, DQN with PER, DDQN with PER, and DDDQN with PER agents to maximise reward in a 14 node power grid station☆21Aug 22, 2020Updated 5 years ago
- This repository host the code developed during my master thesis: "Toward Robust and Resilient Cyber-Physical Systems: State awareness and…☆15Nov 5, 2024Updated last year
- IEEE39/MATLAB☆23Feb 4, 2021Updated 5 years ago
- Simulation files for the TAC 2020 paper "A Distributed Cyber-Attack Detection Scheme With Application to DC Microgrids"☆19Oct 8, 2021Updated 4 years ago
- Artificial Neural Network based Power System Dynamic State Estimation☆18Jun 25, 2018Updated 8 years ago
- ☆23Jun 13, 2026Updated last month
- Convex three-phase optimal power flow (OPF) framework with PVs and EV charging stations, modeling cross-phase inverter operation to reduc…☆17Nov 16, 2025Updated 8 months ago
- ☆22Oct 13, 2023Updated 2 years ago
- Daline: A Data-driven Power Flow Linearization Toolbox for Power Systems Research and Education☆25Jan 29, 2026Updated 5 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- use python to manipuate PSASP☆25Jan 2, 2020Updated 6 years ago
- Python实现的潮流计算，以ieee39为例☆22Sep 4, 2021Updated 4 years ago
- Code and data of the ACL 2021 paper "Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution"☆16Jun 29, 2021Updated 5 years ago
- code for paper： Mixture-of-experts based Multi-Critic Deep Reinforcement Learning for Sustainable Management of Data Center Microgrids☆17Feb 18, 2026Updated 5 months ago
- Simulation of some common communication system structures☆12Feb 27, 2023Updated 3 years ago
- Reinforcement learning as a control technique for the duty cycle, and therefore output voltage, of a 24:12V buck converter using IGBT's.☆14Jun 22, 2021Updated 5 years ago
- 利用MATLAB实现蓝色车牌的识别☆25Feb 5, 2020Updated 6 years ago