A Stakeholder-Based Analysis of Factors Influencing the Development of Grid-Forming Microgrids: A Partial Least Squares SEM Approach
グリッド形成マイクログリッドの発展に影響を与えるステークホルダーに基づく分析：部分的最小二乗構造方程式モデリングアプローチ (AI 翻訳)
Chao Tang, Jiabo Gou, Xiaoqiao Liao, Jinhua Wu, Hongning Chu, Qingming Wang, Jiaming Fang, Shen Yan
🤖 gxceed AI 要約
日本語
本論文は、グリッド形成マイクログリッドの発展に影響を与える要因をステークホルダー理論と行動経済学に基づき分析。調査データを用いたPLS-SEM分析の結果、投資家参加が最も強力な推進要因であり、ユーザー受容、政府支援、公益事業参加が続くことが示された。技術的準備だけではなく、行動的・知覚的要因が重要であることを実証。
English
This paper develops and tests a stakeholder-based framework for grid-forming microgrid development using PLS-SEM on survey data from 200 stakeholders. Results show investor participation as the strongest driver, followed by user acceptance, government support, and utility participation. It highlights that behavioral and perceptual factors, such as capital confidence and risk tolerance, outweigh technical readiness in shaping development performance.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本でも分散型エネルギー資源の導入が進む中、マイクログリッドの展開にはステークホルダー間の協調が不可欠。本論文は、投資家やユーザーの行動要因に着目した実証分析を提供しており、日本におけるグリッド形成型マイクログリッドの政策設計や事業モデル構築に示唆を与える。
In the global GX context
As microgrids gain traction globally for enhancing energy resilience and integrating renewables, this study offers empirical evidence on the relative importance of stakeholder groups. It challenges technology-centric approaches and underscores the need for governance frameworks that align regulatory incentives with investor and user behavior—relevant for countries pursuing decentralized energy transitions.
👥 読者別の含意
🔬研究者:Provides a stakeholder-based behavioral model with PLS-SEM methodology that can be adapted for similar studies in other decentralized energy contexts.
🏢実務担当者:Highlights the critical role of investor confidence and user acceptance, informing engagement strategies for microgrid project developers and utilities.
🏛政策担当者:Suggests that policy design should prioritize financial incentives and demand-side measures over purely technical mandates to accelerate microgrid deployment.
📄 Abstract（原文）
The deployment of grid-forming microgrids has attracted growing attention as a pathway toward improving energy system resilience and supporting low-carbon transitions in decentralized power systems. However, the relative influence of distinct stakeholder groups on microgrid development performance remains inadequately understood in the extant literature. Grounded in stakeholder theory and informed by behavioral economics, this study develops and empirically tests a stakeholder-based framework that examines the effects of government support, investor participation, user acceptance, and utility participation on microgrid development performance. Survey data were collected from 200 stakeholders engaged in microgrid-related activities and analyzed using consistent Partial Least Squares Structural Equation Modeling (PLS-SEM). The structural model accounts for a substantial proportion of the variance in microgrid development performance (R2 = 0.647). The quantitative results indicate that all four stakeholder constructs exert statistically significant positive effects on microgrid development performance. Investor participation emerges as the strongest driver (β = 0.399, p < 0.001), followed by user acceptance (β = 0.190, p < 0.001), government support (β = 0.175, p = 0.015), and utility participation (β = 0.170, p = 0.003). Interpreted through a behavioral economics lens, these findings demonstrate that development performance is governed primarily by behavioral and perceptual factors, namely capital confidence, risk tolerance, and demand-side acceptance, rather than by technical preparedness alone. Conventional assumptions of linear adoption driven by technical superiority are therefore insufficient to account for observed development outcomes in complex, decentralized energy systems. This study advances a stakeholder-centered and behaviorally grounded understanding of grid-forming microgrid development and offers empirical guidance for designing governance frameworks that align regulatory structures with market and user behavioral dynamics.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.3390/bs16050641first seen 2026-05-15 17:24:03
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