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    Impacts of service quality regulation on distribution automation investment

    , Article 2011 10th International Conference on Environment and Electrical Engineering, EEEIC.EU 2011 - Conference Proceedings ; 2011 ; ISBN: 9781420000000 Modarresi, M. S ; Fotuhi-Firuzabad, M ; Mohammadnezhad-Shourkaei, H ; Sharif University of Technology
    Abstract
    This paper investigates the effects of service quality regulation on investing in distribution automation. Among different regulatory instruments for quality regulation, the Reward-Penalty Scheme (RPS) has been selected to evaluate the effect of monetary incentive on behavior of Electric Distribution Utility (EDU) for service reliability. By implementing different automation strategies, the value of enhancing reliability indices and consequently the value of rewards and penalties are calculated for each strategy. For achieving to more realistic outcome, ten years horizon is considered. Furthermore, in the calculation of reliability indices, the time varying failure rate of components is... 

    Impacts of service quality regulation on distribution automation investment

    , Article 2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010 ; 2010 , p. 373-378 ; ISBN: 9781420000000 Modarresi, M. S ; Fotuhi-Firuzabad, M ; Mohammadnezhad-Shourkaei, H ; Sharif University of Technology
    Abstract
    This paper investigates the effects of service quality regulation on investing in distribution automation. Among different regulatory instruments for quality regulation, the Reward-Penalty Scheme (RPS) has been selected to evaluate the effect of monetary incentive on behavior of Electric Distribution Utility (EDU) for service reliability. By implementing different automation strategies, the value of enhancing reliability indices and consequently the value of rewards and penalties are calculated for each strategy. For achieving to more realistic outcome, ten years horizon is considered. Furthermore, in the calculation of reliability indices, the time varying failure rate of components is... 

    Impacts of service quality regulation on distribution automation investment

    , Article 2011 10th International Conference on Environment and Electrical Engineering, EEEIC.EU 2011 - Conference Proceedings, 8 May 2011 through 11 May 2011 ; May , 2011 , Page(s): 1 - 4 ; 9781424487820 (ISBN) Modarresi, M. S ; Fotuhi Firuzabad, M ; Mohammadnezhad Shourkaei, H ; Sharif University of Technology
    2011
    Abstract
    This paper investigates the effects of service quality regulation on investing in distribution automation. Among different regulatory instruments for quality regulation, the Reward-Penalty Scheme (RPS) has been selected to evaluate the effect of monetary incentive on behavior of Electric Distribution Utility (EDU) for service reliability. By implementing different automation strategies, the value of enhancing reliability indices and consequently the value of rewards and penalties are calculated for each strategy. For achieving to more realistic outcome, ten years horizon is considered. Furthermore, in the calculation of reliability indices, the time varying failure rate of components is... 

    Impacts of service quality regulation on distribution automation investment

    , Article 2010 IEEE International Energy Conference and Exhibition, EnergyCon 2010, 18 December 2010 through 22 December 2010 ; December , 2010 , Pages 373-378 ; 9781424493807 (ISBN) Modarresi, M. S ; Fotuhi Firuzabad, M ; Mohammadnezhad Shourkaei, H ; Sharif University of Technology
    2010
    Abstract
    This paper investigates the effects of service quality regulation on investing in distribution automation. Among different regulatory instruments for quality regulation, the Reward-Penalty Scheme (RPS) has been selected to evaluate the effect of monetary incentive on behavior of Electric Distribution Utility (EDU) for service reliability. By implementing different automation strategies, the value of enhancing reliability indices and consequently the value of rewards and penalties are calculated for each strategy. For achieving to more realistic outcome, ten years horizon is considered. Furthermore, in the calculation of reliability indices, the time varying failure rate of components is... 

    Short-term resilience-oriented enhancement in smart multiple residential energy system using local electrical storage system, demand side management and mobile generators

    , Article Journal of Energy Storage ; Volume 52 , 2022 ; 2352152X (ISSN) Kashanizadeh, B ; Mohammadnezhad Shourkaei, H ; Fotuhi Firuzabad, M ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    Recently, many investigations have been studied on the effects of the uncommon extreme events like hurricanes in electrical distribution grids. These events leads to damage to distribution grid equipments, and they are cause widespread blackouts. This paper presents short-term resilience enhancement of the residential sections against hurricane at day-ahead. The lines outage in the electrical distribution grid is implemented as stochastic modeling by hurricane. The resilience enhancement is done in the multiple energy systems such as integrated gas, heat and electrical. The three-stage multi-objective functions optimization is proposed for resilience-oriented enhancement. The proposed... 

    A bi-stage multi-objectives optimization of smart multi energy system with active consumers

    , Article Sustainable Production and Consumption ; Volume 31 , 2022 , Pages 707-722 ; 23525509 (ISSN) Kashanizadeh, B ; Mohammadnezhad Shourkaei, H ; Fotuhi Firuzabad, M ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    The optimal energy consumption and production is one of main aims in the many countries to improve technical, economic and environmental issues by smart energy systems. This paper proposes a bi-stage multi-objectives optimization of the smart multi energy system with optimal coordination of active consumers than electrical and thermal prices in the day-ahead market. The optimization is implemented under uncertainty of demand and price for electrical and thermal energies. In the first stage, original electrical and thermal demand curves are optimized using demand shifting strategy based on energy prices. Then, optimized electrical and thermal demand curves are applied in the second stage for... 

    Reliability incentive regulation based on reward-penalty mechanism using distribution feeders clustering

    , Article International Transactions on Electrical Energy Systems ; Volume 31, Issue 8 , 2021 ; 20507038 (ISSN) Khonakdar Tarsi, I ; Fotuhi Firuzabad, M ; Ehsan, M ; Mohammadnezhad Shourkaei, H ; Jooshaki, M ; Sharif University of Technology
    John Wiley and Sons Ltd  2021
    Abstract
    This paper proposes an approach to enhance the reliability regulation based on the relative performance. In the proposed approach, the distribution system feeders are clustered based on the parameters, which cannot be controlled by distribution companies. Afterward, a reliability incentive regulation is applied to each cluster so that the performance of each feeder is compared to its counterparts in the same cluster. The quality regulation is designed based on the reward-penalty mechanism, which penalizes feeders whose performance is worse than a benchmark and rewards those providing a performance higher than the benchmark. Then, the reward and penalty associated to the electric distribution... 

    A high-accuracy hybrid method for short-term wind power forecasting

    , Article Energy ; Volume 238 , 2022 ; 03605442 (ISSN) Khazaei, S ; Ehsan, M ; Soleymani, S ; Mohammadnezhad Shourkaei, H ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    In this article, a high-accuracy hybrid approach for short-term wind power forecasting is proposed using historical data of wind farm and Numerical Weather Prediction (NWP) data. The power forecasting is carried out in three stages: wind direction forecasting, wind speed forecasting, and wind power forecasting. In all three phases, the same hybrid method is used, and the only difference is in the input data set. The main steps of the proposed method are constituted of outlier detection, decomposition of time series using wavelet transform, effective feature selection and prediction of each time series decomposed using Multilayer Perceptron (MLP) neural network. The combination of automatic...