A combined probabilistic modeling of renewable generation and system load types to determine allowable DG penetration level in distribution networks
Summary Determining the penetration level of the distributed generation (DG) is an effective tool to site and size DGs in distribution networks. A multiobjective function of optimizing the DG penetration level, subject to constraints including short circuit capacity, voltage limits, transformer capa...
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| Vydané v: | International transactions on electrical energy systems Ročník 29; číslo 1; s. e2696 - n/a |
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| Hlavní autori: | , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Hoboken
John Wiley & Sons, Inc
01.01.2019
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| ISSN: | 2050-7038, 2050-7038 |
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| Abstract | Summary
Determining the penetration level of the distributed generation (DG) is an effective tool to site and size DGs in distribution networks. A multiobjective function of optimizing the DG penetration level, subject to constraints including short circuit capacity, voltage limits, transformer capacity, reverse power flow, and congestion of lines, is introduced to minimize the real and reactive losses and to ensure the voltage stability considering the variations of loads, different locations and power factors of DGs, and statistical nature of DG powers especially renewable energy resources. This optimization is performed based on a combined probabilistic modeling of the chronological behavior of wind speed, solar irradiance, and load with different types. The dynamical behavior of the compensators and on‐load tap changers is modeled by optimization subfunctions. An improved bee algorithm is used through conducting searches in the neighboring areas based on a new nonlinear function for a higher fitness and coherency speed. |
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| AbstractList | Determining the penetration level of the distributed generation (DG) is an effective tool to site and size DGs in distribution networks. A multiobjective function of optimizing the DG penetration level, subject to constraints including short circuit capacity, voltage limits, transformer capacity, reverse power flow, and congestion of lines, is introduced to minimize the real and reactive losses and to ensure the voltage stability considering the variations of loads, different locations and power factors of DGs, and statistical nature of DG powers especially renewable energy resources. This optimization is performed based on a combined probabilistic modeling of the chronological behavior of wind speed, solar irradiance, and load with different types. The dynamical behavior of the compensators and on‐load tap changers is modeled by optimization subfunctions. An improved bee algorithm is used through conducting searches in the neighboring areas based on a new nonlinear function for a higher fitness and coherency speed. Summary Determining the penetration level of the distributed generation (DG) is an effective tool to site and size DGs in distribution networks. A multiobjective function of optimizing the DG penetration level, subject to constraints including short circuit capacity, voltage limits, transformer capacity, reverse power flow, and congestion of lines, is introduced to minimize the real and reactive losses and to ensure the voltage stability considering the variations of loads, different locations and power factors of DGs, and statistical nature of DG powers especially renewable energy resources. This optimization is performed based on a combined probabilistic modeling of the chronological behavior of wind speed, solar irradiance, and load with different types. The dynamical behavior of the compensators and on‐load tap changers is modeled by optimization subfunctions. An improved bee algorithm is used through conducting searches in the neighboring areas based on a new nonlinear function for a higher fitness and coherency speed. |
| Author | Shafiyi, Mohammad‐Agha Naghdi, Marzieh Haghifam, Mahmoud‐Reza |
| Author_xml | – sequence: 1 givenname: Marzieh orcidid: 0000-0002-8574-2059 surname: Naghdi fullname: Naghdi, Marzieh email: m_naghdi@sbu.ac.ir, marzie_naghdi@yahoo.com organization: Shahid Beheshti University – sequence: 2 givenname: Mohammad‐Agha surname: Shafiyi fullname: Shafiyi, Mohammad‐Agha organization: Shahid Beheshti University – sequence: 3 givenname: Mahmoud‐Reza surname: Haghifam fullname: Haghifam, Mahmoud‐Reza organization: Tarbiat Modares University |
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Determining the penetration level of the distributed generation (DG) is an effective tool to site and size DGs in distribution networks. A... Determining the penetration level of the distributed generation (DG) is an effective tool to site and size DGs in distribution networks. A multiobjective... |
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| SubjectTerms | Compensators Distributed generation Electric potential Energy sources Fitness improved bee algorithm Irradiance Load Load distribution load type Modelling Monte Carlo simulation Multiple objective analysis Networks Optimization Penetration Power flow Probabilistic models real and reactive losses Renewable energy renewable energy resources Renewable resources Short circuits Statistical analysis Tap changers Voltage stability Wind speed |
| Title | A combined probabilistic modeling of renewable generation and system load types to determine allowable DG penetration level in distribution networks |
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