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25 results on '"Abapour, Saeed"'

10. List of Contributors

Author

Abapour, Saeed, primary, Celli, Gianni, additional, Daneshvar, Mohammadreza, additional, Esfetanaj, Naser Nourani, additional, Ghaemi, Sina, additional, Ghahramani, Mehrdad, additional, Ghiani, Emilio, additional, Jabari, Farkhondeh, additional, Manbachi, Moein, additional, Mocci, Susanna, additional, Mohammadi-ivatloo, Behnam, additional, Moradi-Moghadam, Solmaz, additional, Najafi-Ravadanegh, Sajad, additional, Nikmehr, Nima, additional, Nojavan, Sayyad, additional, Pilo, Fabrizio, additional, Pisano, Giuditta, additional, Sarkhani, Sadjad, additional, Soma, Gian Giuseppe, additional, Wang, Lingfeng, additional, and Zare, Kazem, additional

Published
2018
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22. Multi-objective short-term scheduling of active distribution networks for benefit maximization of DisCos and DG owners considering demand response programs and energy storage system

Author

ABAPOUR, Saeed, NOJAVAN, Sayyad, and ABAPOUR, Mehdi

Abstract

This paper proposes a multi-objective benefit function for operation of active distribution systems considering demand response program (DRP) and energy storage system (ESS). In the active distribution system, active network management (ANM) is applied so that the distribution system equipment is controlled in real-time status based on the real-time measurements of system parameters (voltages and currents). The multi-objective optimization problem is solved using ε-constraint method, and a fuzzy satisfying approach has been employed to select the best compromise solution. Two different objective functions are considered as follows: benefit maximization of distribution company (DisCo); benefit maximization of distributed generation owner (DGO). To increase the benefits and efficient implementation of distributed generation (DG), DGO has installed battery as energy storage system (ESS) in parallel with DG unit. Consequently, DGO decides for the battery charging/discharging. DisCo has the ability to exchange energy with the upstream network and DGO. Also, DisCo focuses to study the effect of demand response program (DRP) on total benefit function and consequently its influence on the load profile has been discussed. This model is successfully applied to a 33-bus radial distribution network.

Published
2018
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23. Application of active management on distribution network with considering technical issues.

Author

Abapour, Saeed, Babaei, Ebrahim, and Khanghah, Babak Yousefi

Abstract

One of the main aims of distribution networks operators(DNOs) is increasing participation of distributed generation(DG). Technical problems such as voltage rise and power losses in distribution networks prevent high penetration of distributed generations in distribution network. Active network management(ANM) play basic role in connection of new generation units without restructuring distribution network. In this paper, relation of DG stability with its participation level is investigated considering technical issues. A multi-objective function for operation of the distribution network is proposed based on technical problems with regard to DG stability at the moment of short circuit in vicinity of the generator. Coordinated control of on-load tap changers and installed reactive power compensator is used for active management of distribution network. Multi-objective genetic algorithm (NSGA II) is employed to solve the optimization problem. [ABSTRACT FROM PUBLISHER]

Published
2012

24. Efficient Placement of Distributed Generation Units in Distribution Networks Using Data Envelopment Analysis Ranking of Proper Busses.

Author

Abapour, Saeed, Jalali, Mehdi, and Zare, Kazem

Subjects
*DISTRIBUTED power generation, *DATA envelopment analysis, *RANKING (Statistics), *POLLUTION, *ELECTRIC potential
Abstract

In this paper, we applied the Data Envelopment Analysis (DEA) ranking method to have efficient placement of Distributed Generation (DG) in distribution network. In this regard first an analytical method to find the optimal size of DG in the network is used to reach the lowest possible losses. In this paper, benchmarks such as improvement of voltage profile, reducing energy not supplied value (as an index of reliability), reducing environmental pollution, and values related to the purchase and installation costs of DG equipment in each busses for selecting the appropriate DG location are considered, in addition to the network loss reduction. This method has been used because the loss reduction of whole the network will not be a complete criteria for selecting the best location to install DG, The necessarily node which has the highest reduction in power losses cannot be considered suitable node for the installation of DG. Therefore we used DEA to determine the most effective location for DG placement. The proposed method is implementation over the network of 33 buses and the results are presented. GAMS software is used for the simulation results extraction. [ABSTRACT FROM AUTHOR]

Published
2014

25. Cost-based Optimal Distributed Generation Planning with Considering Voltage Depended Loads and Power Factor of Distributed Generation.

Author

Yousefi-Khangah, Babak, Abapour, Saeed, and Yousefi-Khangah, Shahram

Subjects
*VOLTAGE dependent capacitors, *ELECTRICAL load, *ELECTRIC power factor, *DISTRIBUTED power generation, *ELECTRIC circuits
Abstract

If determination of location and size of Distributed Generation (DG) are applied accurately, the DG's ability will improve the network situation and reduce operation costs. In this paper, various market conditions are considered to maximize the benefit of DG's presence and make a trade off among advantages of DG, network situation, and Distribution Company (DISCO) owners. To determine the optimal location and size of DG, two methods of the cost minimization and the nodal pricing are combined. In addition to evaluating the impact of parameters such as variation of energy price and load on objective function, effect of these parameters on location and size of DG is considered. To confirm the results, impact of loads which are dependent on voltage and variation of the power factor of the DG units is applied and then effect of power factor on optimal location and size of DG is shown. A method is proposed for convergence of different results which is caused by different power factors. To observe long-term impact of the DG's presence in the network, a load growth for five years is considered annually. Study is carried out on IEEE30 bus test circuit. [ABSTRACT FROM AUTHOR]

Published
2014

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