Three-Stage Analysis of the Maximum Accommodation Capacity of a Distribution System with High Photovoltaic Penetration

Abstract

The safety and stability of a distribution network will be affected by high photovoltaic (PV) penetration. Therefore, it is of great significance to evaluate the PV accommodation capacity of a distribution network and to select an appropriate PV accommodation scheme. This paper assesses the PV accommodation capacity of a distribution network with an improved algorithm and optimizes the accommodation scheme with a comprehensive index. First, the PSO (particle swarm optimization)–Monte Carlo algorithm is used to evaluate the maximum accommodation capacity of a distribution network with PV integration. Second, a year-round voltage timing simulation is performed to analyze the node voltage that exceeds the limit under the planned PV capacity, which is higher than the previously evaluated maximum accommodation capacity. Finally, the staged control strategy of the PV inverter and energy storage is carried out to select the scheme for the sizing and siting of energy storage. The simulation tests use a 10 kV standard distribution network as an example for PV evaluation and PV accommodation scheme selection to verify the feasibility and effectiveness of the proposed model.

Discrete Particle Swarm Optimization for Coordinated Robust Configuration of Photovoltaic Energy Storage in Distribution Network

“…Photovoltaic power generation technology harnesses the photovoltaic effect of semiconductor materials to directly convert solar energy into electricity [1]. Its central component, the solar panel, comprises multiple solar cells, each capable of transforming absorbed light energy into direct current [2]. To constitute a comprehensive photovoltaic power station, systems often include supports, inverters, cables, and other ancillary equipment [3].…”

A Tumor‐Specific Platform of Peroxynitrite Triggering Ferroptosis of Cancer Cells

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