Work

Capacity Configuration for "PEDF" System Driven by Safe and Stable Operation

Year: 2024

Type: article

Abstract: PEDF (photovoltaic, energy storage, direct current, and flexibility) is an important support for the new power system to achieve zero carbon electricity in buildings. To mitigate the high initial investment costs of crucial equipment in the early stage of system design, and to enhance power supply reliability, an improved energy valley optimization (EVO) algorithm for designing the capacity allocation of crucial equipment in PEDF systems for civil buildings is proposed, from the comprehensive perspectives of system economics, low carbon operation, and safety control. Simulation results are compared with those obtained from the Grey Wolf and traditional EVO algorithms. The results demonstrate that the improved EVO algorithm yields superior configuration results and faster convergence when applied to optimizing equipment capacity allocation in PEDF systems. These findings validate the effectiveness and feasibility of the proposed method, offering valuable insights for selecting crucial equipment capacities in PEDF systems for civil buildings.

Source: DOAJ (DOAJ: Directory of Open Access Journals)

DOI: 10.11930/j.issn.1004-9649.202405013

Authors: Huihong YUAN, Shile WENG, Liangjin CHEN, Yitao ZHU, Lijun ZHANG, Bei QI

Institutions: State Grid Zhejiang Electric Power Company (China), State Grid Corporation of China (China)

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, Sustainable cities and communities, Climate action

Open Access status: green

OpenAlex ID: W6884729641

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