Work

Staged optimization of distributed new energy multi-scale source network load storage system

Year: 2024

Type: conference-paper

Abstract: Renewable capacity drives the development of distributed new capacity systems, and its multi-scale characteristics challenge system optimization. Therefore, this article conducts a phased optimization study on the distributed new capacity multi-scale source grid load storage system, aiming to improve the overall operational efficiency and flexibility of the capacity system to meet the needs of capacity transformation and low-carbon development. An optimization model is developed and solved using a differential evolution algorithm to reduce capacity loss, improve output and capacity storage efficiency, increase revenue, and achieve efficient, stable, and sustainable operation of the system.

Source: Journal of Physics Conference Series

DOI: 10.1088/1742-6596/2914/1/012028

Authors: Cheng Liu, Peng Zhao, Zhaofeng Tang, Zhaoxuan Tang

Institutions: Inner Mongolia Electric Power (China), Beijing Institute of Technology, Dalian University of Technology

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: diamond

OpenAlex ID: W4405256368

FWCI:

Cites: 9

Cited by:

Related to: 10