Search for: second-order-cone-programming
A linear programming based algorithm to solve a class of optimization problems with a multi-linear objective function and affine constraints, Article Computers and Operations Research ; Volume 89 , 2018 , Pages 17-30 ; 03050548 (ISSN) ; Savelsbergh, M ; Talebian, M ; Sharif University of Technology
Elsevier Ltd 2018
We present a linear programming based algorithm for a class of optimization problems with a multi-linear objective function and affine constraints. This class of optimization problems has only one objective function, but it can also be viewed as a class of multi-objective optimization problems by decomposing its objective function. The proposed algorithm exploits this idea and solves this class of optimization problems from the viewpoint of multi-objective optimization. The algorithm computes an optimal solution when the number of variables in the multi-linear objective function is two, and an approximate solution when the number of variables is greater than two. A computational study...
Article IEEE Transactions on Smart Grid ; Volume 11, Issue 2 , 2020 , Pages 1781-1791 ; Pourahmadi, F ; Moeini Aghtaie, M ; Fotuhi Firuzabad, M ; Shahidehpour, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc 2020
The forecast errors for distributed energy resources (DERs) and hourly demands have contributed to power system uncertainties and additional risks in the day-ahead scheduling of electricity markets. In this paper, a risk-based approach is introduced to determine the stochastic solution of network-constrained unit commitment (NCUC) when additional uncertainties are embedded in the power system scheduling. The historical power market transaction data are used to model nodal injection uncertainties and reserve capacity requirements are considered to assess the solution of the risk-based NCUC. The proposed NCUC problem is formulated as a single-stage second order cone program which is a convex...
Article IEEE Transactions on Power Systems ; Volume 31, Issue 3 , 2016 , Pages 1879-1888 ; 08858950 (ISSN) ; Fotuhi Firuzabad, M ; Lehtonen, M ; Safdarian, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
Proliferation of renewable energy resources in distribution networks has captured distribution companies' attention towards more active management tools. Thanks to the smart grid paradigm, hourly network reconfiguration, which is still among immature ideas, can bring the activeness required to handle fluctuating output of renewable resources. The aim of this study is to analyze the worthiness of the hourly reconfiguration in the presence of renewable energy resources. For doing so, a mathematical model is devised to minimize daily network losses via applying hourly reconfigurations. The model is a mixed integer second-order cone programming problem and is solved via MOSEK solver. The...
Improve capacity utilization of substation transformers via distribution network reconfiguraion and load transfer, Article EEEIC 2016 - International Conference on Environment and Electrical Engineering, 7 June 2016 through 10 June 2016 ; 2016 ; 9781509023196 (ISBN) ; Fotuhi Firuzabad, M ; Safdarian, A ; Hoshyarzade, A. S ; Lehtonen, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc 2016
Nowadays, the essentiality of asset management in power systems and higher utilization of resources have become more critical to keep pace with the radically growing demand of today's networks. Power transformers are amongst the most important equipments installed in power distribution systems. Therefore, this paper presents a novel methodology to improve the utilization of substation transformers. In this methodology, the transformer utilization of a two-transformer substation is increased via reconfiguration considering the single contingency policy (SCP). The online reconfiguration helps to maximize the amount of load transferred from a substation with a failed transformer to its...
Article IEEE Transactions on Power Systems ; Volume 35, Issue 4 , 2020 , Pages 2888-2903 ; Kazempour, J ; Ordoudis, C ; Pinson, P ; Hosseini, S. H ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc 2020
This article addresses a centralized generation expansion planning problem, accounting for both long- and short-term uncertainties. The long-term uncertainty (demand growth) is modeled via a set of scenarios, while the short-term uncertainty (wind power generation) is described by a family of probability distributions with the same first- and second-order moments obtained from historical data. The resulting model is a distributionally robust chance-constrained optimization problem, which selects the conventional generating units to be built among predefined discrete options. This model includes a detailed representation of unit commitment constraints. To achieve computational tractability,...
A novel management scheme to reduce emission produced by power plants and plug-in hybrid electric vehicles in a smart microgrid, Article International Journal of Environmental Science and Technology ; Volume 17, Issue 5 , 2020 , Pages 2529-2544 ; Soleymani, S ; Mehdi, E ; Sharif University of Technology
Recently, with the growth and development of distributed generation (DGs) and energy storage systems (ESSs), as well as smart control equipment, microgrids (MGs) have been developed. Microgrids are comprised of a limited number of constitutive parts, including loads, DGs, ESSs, and electric vehicles (EVs). This paper presents a novel scheme to manage active and reactive powers, based on DGs, ESSs, and EVs to reduce the total operation cost including power generation and emission costs. Simultaneous management of active and reactive power makes it possible to consider grid operation constraints together. In the proposed schedule, the vehicles are assumed to be plug-in hybrid electric...