Research on superposition-level dual power allocation control strategy for energy storage integration in electrified oil rigs: Load shock mitigation and energy utilization efficiency
Chuan Wang , Guangtao Chen , Xianfeng Shi , Guorong Wang , Bo Wang , Ling Zhong , Maoyuan Luo
{"title":"Research on superposition-level dual power allocation control strategy for energy storage integration in electrified oil rigs: Load shock mitigation and energy utilization efficiency","authors":"Chuan Wang , Guangtao Chen , Xianfeng Shi , Guorong Wang , Bo Wang , Ling Zhong , Maoyuan Luo","doi":"10.1016/j.segan.2025.101928","DOIUrl":null,"url":null,"abstract":"<div><div>Changes in geological and working conditions during drilling result in the intermittent and cyclical operation of high-power equipment on oil drilling rigs, which leads to substantial alternating load impacts on the grid. To address this problem, this paper collects full-cycle and full-operating power data and operating parameters from \"electrified\" oil rigs. The power fluctuation characteristics have been derived under multiple operating conditions and multi-dimensional variables. A physically-coupled, hierarchical control strategy utilizing a storage system is proposed to address grid stability and power supply challenges. This framework resolves the intrinsic conflict between grid stability and drilling safety. In the first transient phase, condition-dependent peak shaving is achieved using multi-dimensional power signatures extracted from field data. During the safety-critical period, dynamic coordination of state-of-charge constraints with downhole physical boundaries is formulated as a mixed-integer nonlinear programming problem. This paper validates the proposed control strategy on oil rig field platforms, demonstrating a reduction in the daily peak-to-valley power difference by 42 %. This results in annual savings of approximately 538,000 RMB per rig, with a payback period of 4.5 years, while reducing CO<sub>2</sub> emissions by 18.7 tonnes per well. The control strategy represents a pioneering integration of short-term load balancing and medium-term constraint adaptation, bridging the gap between transient power fluctuations and mechanical safety limits. Furthermore, it marks the industry's first field validation of storage-assisted electrification in complex drilling cycles. This methodology establishes a replicable framework for high-transient industrial microgrids, advancing the transition to sustainable energy systems in fossil fuel-based industries.</div></div>","PeriodicalId":56142,"journal":{"name":"Sustainable Energy Grids & Networks","volume":"44 ","pages":"Article 101928"},"PeriodicalIF":5.6000,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Energy Grids & Networks","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352467725003108","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Changes in geological and working conditions during drilling result in the intermittent and cyclical operation of high-power equipment on oil drilling rigs, which leads to substantial alternating load impacts on the grid. To address this problem, this paper collects full-cycle and full-operating power data and operating parameters from "electrified" oil rigs. The power fluctuation characteristics have been derived under multiple operating conditions and multi-dimensional variables. A physically-coupled, hierarchical control strategy utilizing a storage system is proposed to address grid stability and power supply challenges. This framework resolves the intrinsic conflict between grid stability and drilling safety. In the first transient phase, condition-dependent peak shaving is achieved using multi-dimensional power signatures extracted from field data. During the safety-critical period, dynamic coordination of state-of-charge constraints with downhole physical boundaries is formulated as a mixed-integer nonlinear programming problem. This paper validates the proposed control strategy on oil rig field platforms, demonstrating a reduction in the daily peak-to-valley power difference by 42 %. This results in annual savings of approximately 538,000 RMB per rig, with a payback period of 4.5 years, while reducing CO2 emissions by 18.7 tonnes per well. The control strategy represents a pioneering integration of short-term load balancing and medium-term constraint adaptation, bridging the gap between transient power fluctuations and mechanical safety limits. Furthermore, it marks the industry's first field validation of storage-assisted electrification in complex drilling cycles. This methodology establishes a replicable framework for high-transient industrial microgrids, advancing the transition to sustainable energy systems in fossil fuel-based industries.
期刊介绍:
Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.