Jun 16, 2026
Abstract With the intensifying energy crisis and envi-ronmental pollution, the Energy Internet and corresponding patterns of energy use have been attracting more and more attention. In this paper,
Feb 11, 2026
This article explores the concept of reactive power: why it exists, its interaction with different types of electrical loads, and its impact on power
May 21, 2026
The rapid and accurate compensa-tion of reactive power is critical to guarantee the stability of energy Internet (EI) with variable loads and distributed power generations.
Nov 26, 2025
Current state-of-art for reactive power compensation, which rely primarily on capacity payments, exclude distributed generation (DG). We propose an alternative: a reactive power market
Jul 24, 2025
To solve the above problems, this paper raises a data-efficient transfer reinforcement learning-based reactive power optimization framework. The proposed framework transfers
Aug 22, 2025
Abstract: The existence of high proportional distributed energy resources in energy Internet (EI) scenarios has a strong impact on the power supply-demand balance of the EI system. Decision
Nov 12, 2025
Reactive power is essential for maintaining voltage stability and efficient energy transfer in the power grid, especially as renewable energy and
Sep 22, 2025
This Perspective proposes an Internet-inspired power system set-up composed of independent, asynchronous compartments able to balance energy across the entire grid.
Nov 11, 2025
The large-scale integration of distributed energy resources into active distribution networks (ADNs) may significantly intensify voltage fluctuations and increase network losses. Traditional model-based
Oct 13, 2025
Hence, this paper aims to enhance the power grid strength of new energy clusters by proposing a multi-type reactive power compensation
Mar 14, 2026
This paper presents a reactive power optimization method of distribution network based on deep reinforcement learning (DRL) and multi-agent system. Firstly, a method of extracting distribution
Aug 06, 2025
The rapid response of reactive power compensation is crucial to guarantee the stable operation of energy Internet (EI) with variable loads and distributed power generations. Therefore, this paper
Dec 24, 2025
Reactive Power Optimization for Transient Voltage Stability in Energy Internet via Deep Reinforcement Learning Approach. Energies, 12 (8), 1556. https://doi /10.3390/en12081556
Feb 01, 2026
Aiming at the load fluctuation problem caused by a high proportion of new energy grid connections, a reactive power optimization method based on
Aug 08, 2025
Based on the judgment of transient voltage stability, a reactive power compensation decision optimization algorithm via deep reinforcement learning
Sep 20, 2025
Bibliographic details on Distributed Reactive Power Optimization for Energy Internet via Multiagent Deep Reinforcement Learning With Graph Attention Networks.
Jul 19, 2025
Due to the increase of uncertainty in power generation and usage, compared with traditional power grids, one of the challenges faced by EI is how
Sep 25, 2025
Reactive power represents the scale of energy exchanged back and forth between the power source and the magnetic fields of these devices. It is not truly consumed but merely oscillates
Apr 22, 2026
The rapid and accurate compensation of reactive power is critical to guarantee the stability of energy Internet (EI) with variable loads and distributed power generations. Therefore, this article proposes a
Sep 04, 2025
This study is based on the reactive power and power flow optimization strategy of renewable energy power systems with renewable energy access to meet the energy transition
May 31, 2026
An intelligent approach for reactive power optimization in EI based on graph convolutional networks (GCN) and deep Q-learning (DQN) is proposed and achieves fast response to the faults and sudden
Mar 12, 2026
Energy Internet, a futuristic evolution of electricity system, is conceptualized as an energy sharing network. Its features, such as plug-and
Apr 11, 2026
The climate change crisis, exacerbated by the global dependency of fossil fuels, has brought significant challenges. In the medium to long term, extensive renewable-energy-based
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