Study on Oilfield Distribution Network Reconfiguration with Distributed Generation

Zhang, Fan; Zhang, Yuexi; Xin, Xiaoni; Zhang, Lu; Fan, Liping

doi:10.12720/sgce.1.1.135-141

Cited by 5 publications

(3 citation statements)

References 2 publications

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“…This is especially true in connection with the widespread use of renewable energy sources in Kazakhstan [2], in particular, the adopted regulatory documents [3][4] promote the use of solar installations (solar panels, inverters, storage devices) by residents of cities, suburbs and industry to cover their energy consumption. The problems of using distributed generation in the oil sector have been previously studied [15][16]. But along with this issue, the problem of the distribution of distributed generation sources remains topical [17].…”

Section: Introductionmentioning

confidence: 99%

Reducing Power and Voltage Losses in Electric Networks of Oil Fields Using the Moth Flame Optimization Algorithm

Саухимов¹,

Ceylan²,

Baimakhanov³

et al. 2021

SGTS

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E d i t o r i n c h i e f ZHURINOV MuratZhurinovich, doctor of chemistry, professor, academician of NAS RK, president of the National Academy of Sciences of the Republic of Kazakhstan, general director of JSC "Institute of fuel, catalysis and electrochemistry named after D.V. Sokolsky» (Almaty, Kazakhstan) H = 4 E d i t o r i a l b o a r d: ABSAMETOV Malis Kudysovich, (deputy editor-in-chief), doctor of geological and mineralogical sciences, professor, academician of NAS RK, director of the Akhmedsafin Institute of hydrogeology and hydrophysics (Almaty, Kazakhstan) H = 2 ZHOLTAEV Geroy Zholtaevich, (deputy editor-in-chief), doctor of geological and mineralogical sciences, professor, director of the institute of geological sciences named after K.I. Satpayev (Almaty, Kazakhstan) Н=2 SNOW Daniel, Ph.D, associate professor, director of the labotatory of water sciences, Nebraska University (Nebraska, USA) H = 32 Zeltman Reymar, Ph.D, head of research department in petrology and mineral deposits in the Earth sciences section of the museum of natural history (London, England) H = 37 PANFILOV Mikhail Borisovich, doctor of technical sciences, professor at the Nancy University (Nancy, France) Н=15 SHEN Ping, Ph.D, deputy director of the Committee for Mining geology of the China geological Society, Fellow of the American association of economic geologists (Beijing, China) H = 25 FISCHER Axel, Ph.D, associate professor, Dresden University of technology (Dresden, Germany) H = 6 KONTOROVICH Aleksey Emilievich, doctor of geological and mineralogical sciences, professor, academician of RAS, Trofimuk Institute of petroleum geology and geophysics SB RAS (Novosibirsk, Russia) H = 19 ABSADYKOV Bakhyt Narikbaevich, doctor of technical sciences, professor, corresponding member of NAS RK, Bekturov Institute of chemical sciences (Almaty, Kazakhstan) H = 5 AGABEKOV Vladimir Enokovich, doctor of chemistry, academician of NAS of Belarus, honorary director of the Institute of chemistry of new materials (Minsk, Belarus) H = 13 KATALIN Stephan, Ph.D, associate professor, Technical university (Dresden, Berlin) H = 20 SEITMURATOVA Eleonora Yusupovna, doctor of geological and mineralogical sciences, professor, corresponding member of NAS RK, head of the laboratory of the Institute of geological sciences named after K.I. Satpayev (Almaty, Kazakhstan) Н=11 SAGINTAYEV Zhanay, Ph.D, associate professor, Nazarbayev University (Nursultan, Kazakhstan) H = 11 FRATTINI Paolo, Ph.D, associate professor, university of Milano-Bicocca (Milan, Italy) H = 28 News of the National Academy of Sciences of the Republic of Kazakhstan. Series of geology and technology sciences.

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Section: Introductionmentioning

confidence: 99%

Reducing Power and Voltage Losses in Electric Networks of Oil Fields Using the Moth Flame Optimization Algorithm

Саухимов¹,

Ceylan²,

Baimakhanov³

et al. 2021

SGTS

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“…Its interconnected location, interconnected number and power injection effects in many aspects such as environmental benefits, line loss and so on [1]. As a result, these problems become an important research topic of economic operation of the power distribution system [2].…”

Section: Introductionmentioning

confidence: 99%

Optimal Placement of DG Unit in Distribution System

Chen

2014

AMR

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Interconnection of distributed generators (DG) has obvious impacts on line loss in distribution system and the effects depend on interconnected location, interconnected number and power injection of distributed generation. With discrete distribution model of constant power static load system accessing DG into consideration, establishes the line loss minimum as the objective function of the model and optimizes interconnected location, interconnected number and power injection of DG using a quantum inspired evolutionary algorithm. IEEE33 diffset results show that the application of the model and the quantum-inspired evolutionary algorithm can get reasonable DG interconnected location and power injection, effectively reduce the distribution system line loss.

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“…At present, two methods were often used to transform CAD model into VA model [3][4][5]. The first method is graphic exchange method based on neutral files such as IGS, STEP, STL and other self-defined formats.…”

Section: Introductionmentioning

confidence: 99%

A Modeling and Representation Method for Virtual Assembly System

Chen

Yang

2010

AMM

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To transform CAD model into virtual assembly model, model transformation was divided into two processes, namely part model transformation and assembly constraint model transformation. With secondary development of SolidWorks system, both part model and assembly constraint model were extracted form SolidWorks model. The OpenFlight database, which is a standard format for virtual reality simulation, was used to represent the hierarchical model of part. Assembly constraint model was expressed by object-oriented hierarchical model in text file. These two models were associated with each other using unique name or number. By loading part files and assembly constraint file, the assembly model was reconstructed in virtual assembly system. The experiment verified that the presented method was effective.

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Study on Oilfield Distribution Network Reconfiguration with Distributed Generation

Cited by 5 publications

References 2 publications

Reducing Power and Voltage Losses in Electric Networks of Oil Fields Using the Moth Flame Optimization Algorithm

Reducing Power and Voltage Losses in Electric Networks of Oil Fields Using the Moth Flame Optimization Algorithm

Optimal Placement of DG Unit in Distribution System

A Modeling and Representation Method for Virtual Assembly System

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