Planning of distributed renewable energy systems under uncertainty based on statistical machine learning
X Fu, X Wu, C Zhang, S Fan… - Protection and Control of …, 2022 - ieeexplore.ieee.org
The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …
power generation, makes the energy system cleaner, and is of great significance in reducing …
[HTML][HTML] Stochastic optimal PV placement and command based power control for voltage and power factor correction using MOPSO algorithm
This paper addresses a multi-objective particle swarm optimization (MOPSO) algorithm to
locate the best position at which a single distributed generator (DG) with optimum voltage …
locate the best position at which a single distributed generator (DG) with optimum voltage …
Neural networks-based inverter control: modeling and adaptive optimization for smart distribution networks
The optimal voltage control of inverter-based resources, especially under the high
penetration of solar photovoltaics, is critical to the stability of the distribution power system …
penetration of solar photovoltaics, is critical to the stability of the distribution power system …
Optimal siting, sizing and setting of droop-controlled DERs in autonomous microgrids: A new paradigm in microgrid planning
M Bayat, MG Farahani, AA Ghadimi… - Electric Power Systems …, 2023 - Elsevier
This paper presents an extended model for aggregation of operational settings of droop-
controlled Distributed Energy Resources (DERs) in Microgrid (MG) planning, thus deriving in …
controlled Distributed Energy Resources (DERs) in Microgrid (MG) planning, thus deriving in …
Allocation and smart inverter setting of ground-mounted photovoltaic power plants for the maximization of hosting capacity in distribution networks
As the integration of solar photovoltaic (PV) power plants into distribution networks grows,
quantifying the amount of PV power that distribution networks can host without harmfully …
quantifying the amount of PV power that distribution networks can host without harmfully …
The selection of the most cost-efficient distributed generation type for a combined cooling heat and power system used for metropolitan residential customers
Distributed generation (DG) using renewable energy sources is of widespread interest. For
example, modern centralized conventional fossil fuel power generation commonly adds DG …
example, modern centralized conventional fossil fuel power generation commonly adds DG …
A general equivalent modeling method for DFIG wind farms based on data-driven modeling
Q Zhu, J Tao, T Deng, M Zhu - Energies, 2022 - mdpi.com
To enhance the stable performance of wind farm (WF) equivalent models in uncertain
operating scenarios, a model-data-driven equivalent modeling method for doubly-fed …
operating scenarios, a model-data-driven equivalent modeling method for doubly-fed …
Multi-objective optimization model of micro-grid access to 5G base station under the background of China's carbon peak shaving and carbon neutrality targets
W Guo, Y Mao, Y Chen, X Zhang - Frontiers in Energy Research, 2022 - frontiersin.org
a large number of 5G base station are connected, which provides a new possibility for the
future low-carbon development of power systems. By encouraging 5G base station to …
future low-carbon development of power systems. By encouraging 5G base station to …
Dynamic Equivalent Modeling of a Large Renewable Power Plant Using a Data-Driven Degree of Similarity Method
M Liao, L Zhu, Y Hu, Y Liu, Y Wu, L Chen - Energies, 2023 - mdpi.com
This paper aims to develop a novel method for the dynamic equivalence of a renewable
power plant, ultimately contributing to power system modeling and enhancing the integration …
power plant, ultimately contributing to power system modeling and enhancing the integration …