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Heresh Seyedi
Heresh Seyedi
Professor, Faculty of Electrical and Computer Engineering, University of Tabriz
Verified email at tabrizu.ac.ir - Homepage
Title
Cited by
Cited by
Year
New centralised adaptive load-shedding algorithms to mitigate power system blackouts
H Seyedi, M Sanaye-Pasand
IET generation, transmission & distribution 3 (1), 99-114, 2009
2592009
Probabilistic multi-objective optimal power flow considering correlated wind power and load uncertainties
S Shargh, B Mohammadi-Ivatloo, H Seyedi, M Abapour
Renewable Energy 94, 10-21, 2016
1282016
A hybrid genetic particle swarm optimization for distributed generation allocation in power distribution networks
MP Ha, M Nazari-Heris, B Mohammadi-Ivatloo, H Seyedi
Energy 209, 118218, 2020
1272020
An analytic approach for optimal coordination of overcurrent relays
A Mahari, H Seyedi
IET Generation, Transmission & Distribution 7 (7), 674-680, 2013
1272013
Optimal PMU placement for power system observability using BICA, considering measurement redundancy
A Mahari, H Seyedi
Electric Power Systems Research 103, 78-85, 2013
1202013
Strategic decision-making of distribution network operator with multi-microgrids considering demand response program
M Jalali, K Zare, H Seyedi
Energy 141, 1059-1071, 2017
1092017
Improved group search optimization algorithm for coordination of directional overcurrent relays
M Alipour, S Teimourzadeh, H Seyedi
Swarm and Evolutionary Computation 23, 40-49, 2015
912015
Impedance-differential protection: A new approach to transmission-line pilot protection
TG Bolandi, H Seyedi, SM Hashemi, PS Nezhad
IEEE Transactions on Power Delivery 30 (6), 2510-2518, 2015
912015
Transmission-line protection: a directional comparison scheme using the average of superimposed components
SM Hashemi, MT Hagh, H Seyedi
IEEE transactions on power delivery 28 (2), 955-964, 2013
842013
Reconfiguration of distribution networks considering coordination of the protective devices
B Khorshid‐Ghazani, H Seyedi, B Mohammadi‐ivatloo, K Zare, S Shargh
IET Generation, Transmission & Distribution 11 (1), 82-92, 2017
792017
A multi-follower bilevel stochastic programming approach for energy management of combined heat and power micro-grids
M Alipour, K Zare, H Seyedi
Energy 149, 135-146, 2018
742018
New centralized adaptive under frequency load shedding algorithms
MS Pasand, H Seyedi
2007 Large Engineering Systems Conference on Power Engineering, 44-48, 2007
722007
Optimal operation of smart distribution networks in the presence of demand response aggregators and microgrid owners: A multi follower Bi-Level approach
S Haghifam, M Dadashi, K Zare, H Seyedi
Sustainable cities and society 55, 102033, 2020
702020
Real-time price-based demand response model for combined heat and power systems
M Alipour, K Zare, H Seyedi, M Jalali
Energy 168, 1119-1127, 2019
642019
Design of new load shedding special protection schemes for a double area power system
H Seyedi, M Sanaye-Pasand
American Journal of Applied Sciences 6 (2), 317, 2009
642009
Adaptive CWT‐based transmission line differential protection scheme considering cross‐country faults and CT saturation
S AsghariGovar, H Seyedi
IET Generation, Transmission & Distribution 10 (9), 2035-2041, 2016
622016
High impedance fault protection in transmission lines using a WPT-based algorithm
A Mahari, H Seyedi
International Journal of Electrical Power & Energy Systems 67, 537-545, 2015
622015
Risk-embedded scheduling of a CCHP integrated with electric vehicle parking lot in a residential energy hub considering flexible thermal and electrical loads
K Saberi-Beglar, K Zare, H Seyedi, M Marzband, S Nojavan
Applied Energy 329, 120265, 2023
602023
A novel backup distance protection scheme for series-compensated transmission lines
SM Hashemi, MT Hagh, H Seyedi
IEEE Transactions on Power Delivery 29 (2), 699-707, 2013
582013
High impedance fault protection scheme for smart grids based on WPT and ELM considering evolving and cross-country faults
S AsghariGovar, P Pourghasem, H Seyedi
International Journal of Electrical Power & Energy Systems 107, 412-421, 2019
572019
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