{"title":"伊朗配电系统运营商基于标准的企业架构:比较评估","authors":"Shakiba Sadeghi, Mahyar Gholizadeh, Mohammad Pourheydari, Ashkan Hojjati, Fatemeh Goltapeh, Saeed Moharrami Shahbekandi","doi":"10.1016/j.jup.2025.102069","DOIUrl":null,"url":null,"abstract":"<div><div>The interfacing with digital transformation and smart grid requirements necessitates a standardized Enterprise Architecture (EA) in Distribution System Operators (DSOs). Based on a review of process models from 39 Iranian DSOs, this study examines two frameworks: the general-domain American Productivity and Quality Center (APQC) and the domain-specific IEC 61968–1:2020, to assess their adaptation across the business, information, software, and technology layers of EA. The findings show that while APQC provides the classification of business processes, it does not model data flows, software systems, and technologies, thus requiring extensive customization for adaptation in DSOs. In contrast, IEC, which presents a software architecture for DSOs, offers a precise model for the flow of data and tasks, facilitating minimal customization for implementation.</div></div>","PeriodicalId":23554,"journal":{"name":"Utilities Policy","volume":"97 ","pages":"Article 102069"},"PeriodicalIF":4.4000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Standards-based enterprise architecture for Iran's distribution system operators: A comparative assessment\",\"authors\":\"Shakiba Sadeghi, Mahyar Gholizadeh, Mohammad Pourheydari, Ashkan Hojjati, Fatemeh Goltapeh, Saeed Moharrami Shahbekandi\",\"doi\":\"10.1016/j.jup.2025.102069\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The interfacing with digital transformation and smart grid requirements necessitates a standardized Enterprise Architecture (EA) in Distribution System Operators (DSOs). Based on a review of process models from 39 Iranian DSOs, this study examines two frameworks: the general-domain American Productivity and Quality Center (APQC) and the domain-specific IEC 61968–1:2020, to assess their adaptation across the business, information, software, and technology layers of EA. The findings show that while APQC provides the classification of business processes, it does not model data flows, software systems, and technologies, thus requiring extensive customization for adaptation in DSOs. In contrast, IEC, which presents a software architecture for DSOs, offers a precise model for the flow of data and tasks, facilitating minimal customization for implementation.</div></div>\",\"PeriodicalId\":23554,\"journal\":{\"name\":\"Utilities Policy\",\"volume\":\"97 \",\"pages\":\"Article 102069\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2025-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Utilities Policy\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0957178725001845\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Utilities Policy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957178725001845","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
Standards-based enterprise architecture for Iran's distribution system operators: A comparative assessment
The interfacing with digital transformation and smart grid requirements necessitates a standardized Enterprise Architecture (EA) in Distribution System Operators (DSOs). Based on a review of process models from 39 Iranian DSOs, this study examines two frameworks: the general-domain American Productivity and Quality Center (APQC) and the domain-specific IEC 61968–1:2020, to assess their adaptation across the business, information, software, and technology layers of EA. The findings show that while APQC provides the classification of business processes, it does not model data flows, software systems, and technologies, thus requiring extensive customization for adaptation in DSOs. In contrast, IEC, which presents a software architecture for DSOs, offers a precise model for the flow of data and tasks, facilitating minimal customization for implementation.
期刊介绍:
Utilities Policy is deliberately international, interdisciplinary, and intersectoral. Articles address utility trends and issues in both developed and developing economies. Authors and reviewers come from various disciplines, including economics, political science, sociology, law, finance, accounting, management, and engineering. Areas of focus include the utility and network industries providing essential electricity, natural gas, water and wastewater, solid waste, communications, broadband, postal, and public transportation services.
Utilities Policy invites submissions that apply various quantitative and qualitative methods. Contributions are welcome from both established and emerging scholars as well as accomplished practitioners. Interdisciplinary, comparative, and applied works are encouraged. Submissions to the journal should have a clear focus on governance, performance, and/or analysis of public utilities with an aim toward informing the policymaking process and providing recommendations as appropriate. Relevant topics and issues include but are not limited to industry structures and ownership, market design and dynamics, economic development, resource planning, system modeling, accounting and finance, infrastructure investment, supply and demand efficiency, strategic management and productivity, network operations and integration, supply chains, adaptation and flexibility, service-quality standards, benchmarking and metrics, benefit-cost analysis, behavior and incentives, pricing and demand response, economic and environmental regulation, regulatory performance and impact, restructuring and deregulation, and policy institutions.