Online Optimal Power Control of an Offshore Oil-Platform Power System
Offshore oil-platform power systems are important infrastructure for the exploitation of maritime oil and gas. However, its current energy management system, with relatively simple control scheme and low-level automation, can hardly operate the system in a secure and economic manner to match the rap...
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| Vydáno v: | Technology and economics of smart grids and sustainable energy Ročník 3; číslo 1; s. 1 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Singapore
Springer Singapore
01.12.2018
Springer Nature B.V |
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| ISSN: | 2199-4706, 2199-4706 |
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| Abstract | Offshore oil-platform power systems are important infrastructure for the exploitation of maritime oil and gas. However, its current energy management system, with relatively simple control scheme and low-level automation, can hardly operate the system in a secure and economic manner to match the rapid progress of offshore oil and gas exploitation. To address this issue, an online multi-objective optimal power control strategy is proposed and implemented based on the existing SCADA system. By incorporating network loss, gas consumption and voltage deviation into a synthesized objective function and taking the various operational constraints into account, the power-control task is formulated into a mixed-integer nonlinear optimized problem. And then an efficient procedure that combines the interior point method and the fast branch and bound method is developed to solve the problem. Consequently the optimal control strategy can be obtained online and either system security or operational efficiency is achieved. The developed control system has been put into practical use in the Weixinan offshore oil-platform power system (China’s first of its kind). Field test results show that it can coordinate active and reactive power for online optimal control as per the changes of operating conditions. The improved safety, efficiency and power quality of the power system will definitely promote exploitation of offshore oil and gas in the respect of both security and efficiency. |
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| AbstractList | Offshore oil-platform power systems are important infrastructure for the exploitation of maritime oil and gas. However, its current energy management system, with relatively simple control scheme and low-level automation, can hardly operate the system in a secure and economic manner to match the rapid progress of offshore oil and gas exploitation. To address this issue, an online multi-objective optimal power control strategy is proposed and implemented based on the existing SCADA system. By incorporating network loss, gas consumption and voltage deviation into a synthesized objective function and taking the various operational constraints into account, the power-control task is formulated into a mixed-integer nonlinear optimized problem. And then an efficient procedure that combines the interior point method and the fast branch and bound method is developed to solve the problem. Consequently the optimal control strategy can be obtained online and either system security or operational efficiency is achieved. The developed control system has been put into practical use in the Weixinan offshore oil-platform power system (China’s first of its kind). Field test results show that it can coordinate active and reactive power for online optimal control as per the changes of operating conditions. The improved safety, efficiency and power quality of the power system will definitely promote exploitation of offshore oil and gas in the respect of both security and efficiency. |
| ArticleNumber | 18 |
| Author | Xie, Xiaorong Sun, Yingyun Zhong, Jianliang Wei, Che Wang, Jianfeng |
| Author_xml | – sequence: 1 givenname: Xiaorong surname: Xie fullname: Xie, Xiaorong email: xiexr@tsinghua.edu.cn organization: State Key Laborarory of Power System, Department of Electrical Engineering, Tsinghua University – sequence: 2 givenname: Jianliang surname: Zhong fullname: Zhong, Jianliang organization: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University – sequence: 3 givenname: Yingyun surname: Sun fullname: Sun, Yingyun organization: State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University – sequence: 4 givenname: Jianfeng surname: Wang fullname: Wang, Jianfeng organization: China National Offshore Oil Corporation Research Institute – sequence: 5 givenname: Che surname: Wei fullname: Wei, Che organization: China National Offshore Oil Corporation Research Institute |
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| Keywords | Interior point method Fast branch and bound method Offshore oil-platform power system Optimal power control Mixed-integer nonlinear problem |
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Res201410618820210.1016/j.epsr.2013.08.014 – reference: MarvikJIØyslebøEVKorpåsMElectrification of offshore petroleum installations with offshore wind integrationRenew Energy20135055856410.1016/j.renene.2012.07.010 – reference: IEC 61970 (2003) Energy Management System Application Prog ram Interface (EMS-API) Part 301 : Common Information Model (CIM)Base – reference: Zamora-CárdenasAFuerte-EsquivelCRState estimation of power systems containing facts controllersElectr Power Syst Res2011814995100210.1016/j.epsr.2010.12.009 – reference: McMorranAWAultGWEldersIMFooteCETBurtGMMcDonaldJRTranslating CIM XML power system data to a proprietary format for system simulationPower Systems, IEEE Transactions on200419122923510.1109/TPWRS.2003.820691 – reference: BP (2012) BP Statistical Review of World Energy 2012, http://www.bp.com/content/dam/bp/pdf/statistical-review/statistical_review_of_world_energy_2013.pdf – reference: BoseSPalSNatarajanBScoglioCMDasSSchulzNNAnalysis of optimal reconfiguration of shipboard power systemsPower Systems, IEEE Transactions on201227118919710.1109/TPWRS.2011.2163948 – reference: Moeini-AghtaieMAbbaspourAHajipourEA decomposed solution to multiple-energy carriers optimal power flowPower Systems, IEEE Transactions on201429270771610.1109/TPWRS.2013.2283259 – reference: GjolbergOJohnsenTRisk management in the oil industry: can information on long-run equilibrium prices be utilized?Energy Econ199921651752710.1016/S0140-9883(99)00023-7 – reference: CalderaroVConioGGaldiVPiccoloAReactive power control for improving voltage profiles: a comparison between two decentralized approachesElectr Power Syst Res201283124725410.1016/j.epsr.2011.10.010 – reference: FrankSSteponaviceIRebennackSOptimal power flow: a bibliographic survey IIEnergy Syst20123325928910.1007/s12667-012-0057-x – reference: Introduction to Ipopt (2015) https://projects.coin-or.org/Ipopt/browser/stable/3.11/Ipopt/doc/documentation.pdf?format=raw – reference: XieNTorelliFBompardEAlfredo Vaccaro, a graph theory based methodology for optimal PMUs placement and multiarea power system state estimationElectr Power Syst Res2015119253310.1016/j.epsr.2014.08.023 – reference: TebianianHJeyasuryaBDynamic state estimation in power systems: modeling, and challengesElectr Power Syst Res201512110911410.1016/j.epsr.2014.12.005 – reference: FrankSSteponaviceIRebennackSOptimal power flow: a bibliographic survey IEnergy Syst20123322125810.1007/s12667-012-0056-y – reference: DebbarmaSSaikiaLCSinhaNAGC of a multi-area thermal system under deregulated environment using a non-integer controllerElectr Power Syst Res20139517518310.1016/j.epsr.2012.09.008 – reference: CapitanescuFWehenkelLExperiments with the interior-point method for solving large scale optimal power flow problemsElectr Power Syst Res20139527628310.1016/j.epsr.2012.10.001 – reference: NeffatiAGuemriMCauxSFadelMEnergy management strategies for multi source systemsElectr Power Syst Res2013102424910.1016/j.epsr.2013.03.008 – reference: Gomez-GonzalezMLópezAJuradoFOptimization of distributed generation systems using a new discrete PSO and OPFElectr Power Syst Res201284117418010.1016/j.epsr.2011.11.016 – reference: OliveiraEJOliveiraLWPereiraJLRHonórioLMSilva JuniorICMarcatoALMAn optimal power flow based on safety barrier interior point methodInt J Electr Power Energy Syst20156497798510.1016/j.ijepes.2014.08.015 – reference: MiguelPNevesLGomes MartinsAMethodology to simulate the impact of a large deployment of a residential energy management system in the electricity gridElectr Power Syst Res201411639940710.1016/j.epsr.2014.07.012 – reference: LiangR-HTsaiS-RChenY-TTsengW-TOptimal power flow by a fuzzy based hybrid particle swarm optimization approachElectr Power Syst Res20118171466147410.1016/j.epsr.2011.02.011 – reference: U.S. Energy Information Administration (2014) China country energy brief analysis. http://www.eia.gov/countries/analysisbriefs/China/china.pdf – reference: NumnondaTAnnakkageUDOptimal power 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| SubjectTerms | Automation Control systems Economics and Management Efficiency Electrical Machines and Networks Energy Energy management Energy Policy Energy Systems Exploitation Field tests Internet Objective function Offshore Offshore drilling rigs Offshore engineering Oil On-line systems Optimal control Original Paper Power control Power efficiency Power Electronics Reactive power Security Supervisory control and data acquisition |
| Title | Online Optimal Power Control of an Offshore Oil-Platform Power System |
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