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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jera.v9i7.13619</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Optimization and Technological Innovation Path of Photovoltaic System Field Management from the Perspective of Electrical Engineering</title><url>https://artdesignp.com/journal/JERA/9/7/10.26689/jera.v9i7.13619</url><author>WuShaokang</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>9</volume><issue>7</issue><history><date date-type="pub"><published-time>2025-12-31</published-time></date></history><abstract>Driven by the “Dual Carbon” strategy and green building concepts, the full utilization of idle rooftops, vacant lots, and parking lots for deploying distributed photovoltaic (PV) systems has become a key measure to enhance land and building utilization value. From the core perspective of electrical engineering, this paper systematically constructs a technical framework integrating “planning-operation-maintenance-guarantee” to address practical challenges such as low energy management efficiency and poor system coordination in diverse application scenarios. The study focuses on optimizing PV system operation mechanisms based on maximum power point tracking (MPPT), proposing integrated PV-storage capacity matching models and dynamic energy management strategies applicable to parking lots and idle spaces. It designs an online monitoring system for distributed PV with IoT sensors and modular emergency/replenishment power supply solutions. Additionally, it explores intelligent operation and predictive maintenance technologies leveraging digital twin and deep learning algorithms. Research and practice demonstrate that comprehensive application of these technologies in system design, electrical safety, and smart scheduling significantly improves field management precision, operational reliability, and lifecycle economic efficiency of distributed PV systems across multiple scenarios. 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