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Peyman Mazidi - IEEE Xplore Author Profile

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Author details

Peyman Mazidi

Publications

12

Citations

77

Publications by Year

20162020

Co-Authors:

Mikael AmelinRaul BachillerGregory N. BaltasNicholas Gregory BaltasLina Bertling Tjernberg

Show All Co-Authors (23)

Peyman Mazidi

Affiliation

Uniper Global Commodities, Düsseldorf, Germany

Publication Topics

Power System,
Transient Stability,
Artificial Neural Network,
Neural Network,
Phasor Measurement Units,
Support Vector Machine,
Class Distribution,
Competitive Results,
Distribution Grid,
Energy Storage Systems,
Ensemble Model,
Flexible System

Biography

Peyman Mazidi is a PhD Candidate at KTH Royal Institute of Technology in the Electric Power and Energy (EPE) department. His current research area covers: Maintenance, Reliability and Anomaly Detection in Smart Grids with integration of renewable energy sources.(Based on document published on 26 September 2016).

Publications

12

Citations

77

Publications by Year

20162020

Co-Authors:

Mikael Amelin
Raul Bachiller
Gregory N. Baltas
Nicholas Gregory Baltas
Lina Bertling Tjernberg

Show All Co-Authors (23)

Author's Published Works

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Showing 1-12 of 12 results

Conferences (12)

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Single Year
Peyman Mazidi(12)
Gregory N. Baltas(3)
Miguel A. Sanz-Bobi(3)
Pedro Rodríguez(3)
Du Mian(2)
KTH Royal Institute of Technology, Stockholm, Sweden(3)
Comillas Pontifical University, Madrid, Spain(2)
Comillas Pontifical University Madrid, Spain and KTH Royal Institute of Technology, Stockholm, Sweden(1)
Loyola Institute of Science and Technology(Loyola.Tech), Loyola Andalucia University, Seville, Spain(1)
ICAI School of Engineering, Comillas Pontifical University, Spain(1)
2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)(4)
2016 China International Conference on Electricity Distribution (CICED)(2)
2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)(1)
2017 14th International Conference on the European Energy Market (EEM)(1)
2018 15th International Conference on the European Energy Market (EEM)(1)
IEEE(12)
Paris, France(4)
Xi'an, China(2)
Beijing, China(1)
Dresden, Germany(1)
Lodz, Poland(1)
Power System(6)
Artificial Neural Network(5)
Neural Network(5)
Transient Stability(4)
Phasor Measurement Units(3)

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Maximizing Flexibility in a Power System with Reserve, Renewables, Active Demand and Storage

Peyman Mazidi;Yaser Tohidi;Mohammad Reza Hesamzadeh

2020 17th International Conference on the European Energy Market (EEM)

Year: 2020 | Conference Paper |

Cited by: Papers (4)

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In a power system with intermittent sources of energy, operating conditions constantly vary. This puts the system in an always-changing situation that can go from stable to unstable at any time. Even if the system remains stable, the endless change with different characteristics could endanger the operation. In order to manage the impact of variabilities and reduce the risk of entering an unstable...Show More

Maximizing Flexibility in a Power System with Reserve, Renewables, Active Demand and Storage

Peyman Mazidi;Yaser Tohidi;Mohammad Reza Hesamzadeh

2020 17th International Conference on the European Energy Market (EEM)

Year: 2020 | Conference Paper |

Lifetime analysis of the main communication components in a smart distribution grid

Miguel A. Sanz-Bobi;Peyman Mazidi;Alvaro Sanchez;Ana Gonzalez;Raul Bachiller

2018 IEEE International Telecommunications Energy Conference (INTELEC)

Year: 2018 | Conference Paper |

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This paper describes the method followed to analyze the lifetime of the main communication components involved in a smart distribution grid. This analysis was carried out in four different cases of smart distribution networks corresponding to demonstrators developed in the project UPGRID, partially supported by the European Commission. The focus of UPGRID was on real proven solutions to enable act...Show More

Lifetime analysis of the main communication components in a smart distribution grid

Miguel A. Sanz-Bobi;Peyman Mazidi;Alvaro Sanchez;Ana Gonzalez;Raul Bachiller

2018 IEEE International Telecommunications Energy Conference (INTELEC)

Year: 2018 | Conference Paper |

A Novel Ensemble Approach for Solving the Transient Stability Classification Problem

Gregory N. Baltas;Carlos Perales-González;Peyman Mazidi;Francisco Fernandez;Pedro Rodríguez

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

Year: 2018 | Conference Paper |

Cited by: Papers (10)

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As power systems become more complex in order to accommodate distributed generation and increased demand, determining the stability status of a system after a severe contingency is becoming more difficult. To that end, artificial intelligence and machine learning techniques have been studied as a stability prediction tool. Topology changes and data availability however, impose certain limitations ...Show More

A Novel Ensemble Approach for Solving the Transient Stability Classification Problem

Gregory N. Baltas;Carlos Perales-González;Peyman Mazidi;Francisco Fernandez;Pedro Rodríguez

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

Year: 2018 | Conference Paper |

Synchrophasor Measurements for Control of Grid Interactive Energy Storage System Design alternatives for monitoring system

Roozbeh Torkzadeh;Mojtaba Eliassi;Peyman Mazidi;Pedro Rodriguez

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

Year: 2018 | Conference Paper |

Cited by: Papers (1)

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Energy Storage Systems (ESSs) installed at primary substations can be used by different participants of power system for handling the emerging uncertainties caused by supply-side variations, demand-side flexibility and grid topology changes. This work presents practical designs for the monitoring system of Grid Interactive ESS (GI-ESS) controller by taking the advantages of synchrophasor measureme...Show More

Synchrophasor Measurements for Control of Grid Interactive Energy Storage System Design alternatives for monitoring system

Roozbeh Torkzadeh;Mojtaba Eliassi;Peyman Mazidi;Pedro Rodriguez

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

Year: 2018 | Conference Paper |

Support Vector Machine and Neural Network Applications in Transient Stability

Gregory N. Baltas;Peyman Mazidi;Francisco Fernandez;Pedro Rodríguez

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

Year: 2018 | Conference Paper |

Cited by: Papers (3)

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Phasor measurement units and wide area measurement systems are becoming more and more popular due to their capability to record operational data with high sampling rates. By storing and processing this large amount of data, faster and more reliable approaches can be developed that overcome some of the drawbacks of traditional methods, such as response speed and accuracy. Many research studies use ...Show More

Support Vector Machine and Neural Network Applications in Transient Stability

Gregory N. Baltas;Peyman Mazidi;Francisco Fernandez;Pedro Rodríguez

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

Year: 2018 | Conference Paper |

A Model for Flexibility Analysis of RESS with Electric Energy Storage and Reserve

Peyman Mazidi;Gregory N. Baltas;Mojtaba Eliassi;Pedro Rodríguez

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

Year: 2018 | Conference Paper |

Cited by: Papers (10)

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To address continuously varying operating conditions in a power system with intermittent energy sources, the system should demonstrate certain level of flexibility. This paper identifies the parameters affecting flexibility in a power system and proposes an optimization model to study various impacts of these parameters. In this regard, storage, as one solution to increase flexibility, is being in...Show More

A Model for Flexibility Analysis of RESS with Electric Energy Storage and Reserve

Peyman Mazidi;Gregory N. Baltas;Mojtaba Eliassi;Pedro Rodríguez

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

Year: 2018 | Conference Paper |

A Comparative Analysis of Decision Trees, Support Vector Machines and Artificial Neural Networks for On-line Transient Stability Assessment

Nicholas Gregory Baltas;Peyman Mazidi;Jin Ma;Francisco de Asis Fernandez;Pedro Rodriguez

2018 International Conference on Smart Energy Systems and Technologies (SEST)

Year: 2018 | Conference Paper |

Cited by: Papers (31)

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Transient instability is considered the most severe form of instability in power systems with grave socioeconomic repercussions if not prevented. Conventional methods, such as time domain simulations and direct methods impose limitations to fast on-line transient stability assessment in modern power systems. The development of phasor measurement units paved the way for transient stability assessme...Show More

A Comparative Analysis of Decision Trees, Support Vector Machines and Artificial Neural Networks for On-line Transient Stability Assessment

Nicholas Gregory Baltas;Peyman Mazidi;Jin Ma;Francisco de Asis Fernandez;Pedro Rodriguez

2018 International Conference on Smart Energy Systems and Technologies (SEST)

Year: 2018 | Conference Paper |

A Hybrid Model Based on Symbolic Regression and Neural Networks for Electricity Load Forecasting

Ilias Dimoulkas;Lars Herre;Dina Khastieva;Elis Nycander;Mikael Amelin;Peyman Mazidi

2018 15th International Conference on the European Energy Market (EEM)

Year: 2018 | Conference Paper |

Cited by: Papers (4)

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This paper proposes a hybrid model for electricity load forecasting. Symbolic regression is initially used to automatically create a regression model of the load. Then the explanatory variables and their transformations that have been selected in the model are used as input in an artificial neural network that is trained to predict the electricity load at the output. Therefore symbolic regression ...Show More

A Hybrid Model Based on Symbolic Regression and Neural Networks for Electricity Load Forecasting

Ilias Dimoulkas;Lars Herre;Dina Khastieva;Elis Nycander;Mikael Amelin;Peyman Mazidi

2018 15th International Conference on the European Energy Market (EEM)

Year: 2018 | Conference Paper |

EEM 2017 Forecast Competition: Wind power generation prediction using autoregressive models

Ilias Dimoulkas;Peyman Mazidi;Lars Herre

2017 14th International Conference on the European Energy Market (EEM)

Year: 2017 | Conference Paper |

Cited by: Papers (3)

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Energy forecasting provides essential contribution to integrate renewable energy sources into power systems. Today, renewable energy from wind power is one of the fastest growing means of power generation. As wind power forecast accuracy gains growing significance, the number of models used for forecasting is increasing as well. In this paper, we propose an autoregressive (AR) model that can be us...Show More

EEM 2017 Forecast Competition: Wind power generation prediction using autoregressive models

Ilias Dimoulkas;Peyman Mazidi;Lars Herre

2017 14th International Conference on the European Energy Market (EEM)

Year: 2017 | Conference Paper |

A performance and maintenance evaluation framework for wind turbines

Peyman Mazidi;Mian Du;Lina Bertling Tjernberg;Miguel A. Sanz Bobi

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

Year: 2016 | Conference Paper |

Cited by: Papers (9)

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In this paper, a data driven framework for performance and maintenance evaluation (PAME) of wind turbines (WT) is proposed. To develop the framework, SCADA data of WTs are adopted and several parameters are carefully selected to create a normal behavior model. This model which is based on Neural Networks estimates operation of WT and aberrations are collected as deviations. Afterwards, in order to...Show More

A performance and maintenance evaluation framework for wind turbines

Peyman Mazidi;Mian Du;Lina Bertling Tjernberg;Miguel A. Sanz Bobi

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

Year: 2016 | Conference Paper |

Simulation model based on reliability and maintenance of a component and their effect on cost

Peyman Mazidi;Du Mian;Miguel A. Sanz-Bobi

2016 China International Conference on Electricity Distribution (CICED)

Year: 2016 | Conference Paper |

Cited by: Papers (1)

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Maintenance actions are important activities carried out by utilities to maintain the operability, reliability and sustainability of systems. These actions are mainly divided into two categories, corrective and preventive with different degrees, e.g. as-good-as-new, as-bad-as-old, imperfect. In this paper, a general flexible maintenance model is created that integrates both corrective and preventi...Show More

Simulation model based on reliability and maintenance of a component and their effect on cost

Peyman Mazidi;Du Mian;Miguel A. Sanz-Bobi

2016 China International Conference on Electricity Distribution (CICED)

Year: 2016 | Conference Paper |

A comparative study of techniques utilized in analysis of wind turbine data

Peyman Mazidi;Du Mian;Miguel A. Sanz-Bobi

2016 China International Conference on Electricity Distribution (CICED)

Year: 2016 | Conference Paper |

Cited by: Papers (1)

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Power produced by a wind turbine is dependent on many factors with different importance degrees. Main factors can be found by a thorough analysis of all the factors and their correlation and impact on the main output. Therefore, it is important to monitor the performance of the wind turbines in order to minimize the operation and maintenance costs by pointing out abnormalities. This paper analyzes...Show More

A comparative study of techniques utilized in analysis of wind turbine data

Peyman Mazidi;Du Mian;Miguel A. Sanz-Bobi

2016 China International Conference on Electricity Distribution (CICED)

Year: 2016 | Conference Paper |

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