{"title":"Coordinated stochastic power system operation between TSO, renewable sources, energy storage and hydrogen energy equipped DSO, and HSO","authors":"Tayfur Gökçek , Ozan Erdinç , İbrahim Şengör","doi":"10.1016/j.seta.2024.104143","DOIUrl":null,"url":null,"abstract":"<div><div>The proliferation of distributed energy and concerns about carbon emissions entail a multi-energy enriched coordinated operation in the electrical power system. In this paper, a coordinated stochastic operation between the Transmission System Operator (TSO), renewable sources, energy storage, the hydrogen (<span><math><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>) energy-equipped Distribution System Operator (DSO), and the Hydrogen System Operator (HSO) is proposed. The stochasticity in the decentralized hierarchical structure is modeled with the IEEE RTS 24-Bus System for the TSO, and 7-Bus and 9-Bus systems for the DSOs, taking into account the uncertainty in renewable energy generation. Furthermore, the HSO participates in the wholesale market as a price maker, and interacts with the DSOs for the lower <span><math><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> prices. The total operation cost has been reduced by 33.8% thanks to the Analytical Target Cascading-based distributed AC power flow model. In this context, it is shown that the integrated use of <span><math><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> energy and distributed resources under power system coordination can provide remarkable advantages to the transmission, distribution, and <span><math><msub><mrow><mi>H</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> gas systems.</div></div>","PeriodicalId":56019,"journal":{"name":"Sustainable Energy Technologies and Assessments","volume":"73 ","pages":"Article 104143"},"PeriodicalIF":7.1000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Technologies and Assessments","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2213138824005393","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
The proliferation of distributed energy and concerns about carbon emissions entail a multi-energy enriched coordinated operation in the electrical power system. In this paper, a coordinated stochastic operation between the Transmission System Operator (TSO), renewable sources, energy storage, the hydrogen () energy-equipped Distribution System Operator (DSO), and the Hydrogen System Operator (HSO) is proposed. The stochasticity in the decentralized hierarchical structure is modeled with the IEEE RTS 24-Bus System for the TSO, and 7-Bus and 9-Bus systems for the DSOs, taking into account the uncertainty in renewable energy generation. Furthermore, the HSO participates in the wholesale market as a price maker, and interacts with the DSOs for the lower prices. The total operation cost has been reduced by 33.8% thanks to the Analytical Target Cascading-based distributed AC power flow model. In this context, it is shown that the integrated use of energy and distributed resources under power system coordination can provide remarkable advantages to the transmission, distribution, and gas systems.
期刊介绍:
Encouraging a transition to a sustainable energy future is imperative for our world. Technologies that enable this shift in various sectors like transportation, heating, and power systems are of utmost importance. Sustainable Energy Technologies and Assessments welcomes papers focusing on a range of aspects and levels of technological advancements in energy generation and utilization. The aim is to reduce the negative environmental impact associated with energy production and consumption, spanning from laboratory experiments to real-world applications in the commercial sector.