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Now showing items 1 - 12 of 12

  • MW-mile recovery method in merchant transmission investment by generation companies

    Karimi, Maziar   Kheradmandi, Morteza   Pirayesh, Abolfazl  

    Transmission expansion projects are seriously affected by the budget limitations. Stimulating private investment has been among the efficient ways to overcome this limitation. A structure is proposed to involve generation companies (GenCos) as private investors to invest in transmission expansion plans. The GenCo identifies the most appropriate plan among those announced by the Transmission Service Provider (TSP) through conducting a cost-benefit analysis. The cost-benefit function consists of the investment cost, the incremental expected profit from energy production, and the expected revenue from investment recovery. A transmission pricing mechanism is proposed to recoup the investment based on the MW-mile method. The delay in the construction time of generation and transmission projects is modeled by a scenario tree in the proposed cost-benefit analysis. The presented method is examined on the IEEE 24-bus system.
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  • Using voltage control for reducing standing phase angle in power system restoration

    Kheradmandi, Morteza   Feuillet, Rene  

    In closing transmission system loops after a blackout or a partial outage, the standing phase angle (SPA) across breakers should be below a preset value. Closing a breaker on a larger SPA can give rise to damage to system equipment, and can even provoke the recurrence of system outage. Power angle across a line is influenced by the transmitted real power, line reactance, as well as the voltage magnitude at both ends of the transmission line. SPA reduction has conventionally been made by rescheduling the production among generators or by load curtailment. In this paper, an approach is presented to achieve the desired SPA by using the generator terminal voltages as control variables. This allows the desired SPA to be attained in a shorter time. Due to the dependency of load power on voltage magnitude, load active and reactive powers are represented by a more detailed model of constant power, constant current, and constant impedance components. Constraints in operational variables which can restrict the control scheme are also taken into consideration. The effectiveness of the proposed approach in reducing the SPA is illustrated by case studies on a three-bus test system and on the IEEE 118-bus system. (C) 2017 Elsevier B.V. All rights reserved.
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  • Using voltage control for reducing standing phase angle in power system restoration

    Kheradmandi, Morteza   Feuillet, René  

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  • Assigning Operating Reserves in Power Systems Under Imminent Intelligent Attack Threat

    Ranjbar, Mohammad Hossein   Kheradmandi, Morteza   Pirayesh, Abolfazl  

    Operating reserves serve as efficient tools to respond to the sudden outage of power system components caused by either natural events or intentional attacks. Contrary to the natural threats, the intentional attacks exhibit no stochastic behavior and are launched to inflict as much damage as possible to system. Moreover, these attacks are strongly influenced by the measures taken by the system operator. As a consequence, the probabilistic methods of operating reserve procurement and allocation do not prove to be efficient to confront the intelligent attacks. In this paper, the interaction between the system operator as the defender and the intelligent attacker is investigated within a linear two-person zero-sum game model. In this model, the system is scheduled and the operating reserves are allocated and deployed in a limited number of time intervals in such a way that the system incurs the least cost for the worst-case attack. The efficacy of the proposed method is examined by conducting case studies of single- and multiple-target attacks on two test systems. The results indicate that the solutions obtained by the proposed method can result in a considerable reduction in the system costs in comparison to those obtained when the system is scheduled by probabilistic methods and an intelligent attack is launched.
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  • Assigning Operating Reserves in Power Systems under Imminent Intelligent Attack Threat

    Ranjbar, Mohammad Hossein   Kheradmandi, Morteza   Pirayesh, Abolfazl  

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  • A Linear Game Framework for Defending Power Systems against Intelligent Physical Attacks

    Ranjbar, Mohammad Hossein   Kheradmandi, Morteza   Pirayesh, Abolfazl  

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  • Optimal placement of multi-period-based switched capacitor in radial distribution systems

    Sadeghian, Omid   Oshnoei, Arman   Kheradmandi, Morteza   Mohammadi-Ivatloo, Behnam  

    This paper proposes a methodology for optimal allocation of multi-period-based switchable capacitor in radial distribution systems to minimize the energy loss and improve the voltage profile. In the proposed methodology, each monthly typical day is divided to numerous time segments under a so-called number of segments (NOS) factor. Several possible values of NOS are evaluated to seek its impact on system's yearly loss. In the optimization process, by considering a common value of NOS, an optimal candidate bus for locating capacitor is obtained while the capacitor step is optimized in each segment. To speed up the solving process, a technical constraint is offered to ignore the non-important states for capacitor size evaluation. Moreover, two methods for load flow calculations including the direct load flow and backward/forward sweep methods are investigated. The proposed methodology is applied to IEEE 10-bus, 33-bus, 69-bus, and 85-bus systems, and thereby relevant conclusions are drawn. (C) 2020 Elsevier Ltd. All rights reserved.
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  • Rescheduling of power systems constrained with transient stability limits in restructured power systems

    Kheradmandi, Morteza   Ehsan, Mehdi   Feuillet, Rene   Hadj-Saied, Nouredine  

    This paper investigates various approaches to relieve the transient stability constraint in restructured power systems. The approaches adopted fall into two broad categories: those based on eliminating the constraint in the least-cost way and those based on eliminating with the least possible rescheduling. The latter group can, on the other hand, emerge in the form of a pool-protected policy in which the bilateral contracts are rescheduled to maintain the stability or in the form of a contract-protected policy in which the realizable bilateral contracts are maximized while minimizing the rescheduling in pool market. Transient energy function (TEF) method is used as a tool to calculate the sensitivity of energy margin to the variations in the magnitude of generation and load. The effectiveness of the method is illustrated by case studies on Western System Coordinating Council (WSCC) 3-machine 9-bus power system and on the 10-machine 39-bus New England test system and the results are compared. The results are also verified by time domain simulations. (C) 2010 Elsevier B.V. All rights reserved.
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  • A robust data clustering method for probabilistic load flow in wind integrated radial distribution networks

    Sadeghian, Omid   Oshnoei, Arman   Kheradmandi, Morteza   Khezri, Rahmat   Mohammadi-Ivatloo, Behnam  

    Data clustering incorporated in Monte Carlo Simulation (MCS) proves efficient in Probabilistic Load Flow (PLF) of the power grids under uncertainty of renewable energy resources. Fixed cluster agents are assumed for the clusters in the investigations reported in literature. This assumption ignores the changeable characteristics of Normal Data Clustering (NDC). This implies that the agents may change in another execution of the NDC. Under such circumstances, providing precise results for the PLF during frequent executions is not practical and there is high error in the executions. This paper presents a robust data clustering (RDC) scheme to overcome the problem arising from varying results of the NDC, and provides closer solutions to MCS. The proposed RDC method obtains the average of solutions by performing numerous NDCs under a so-called normal to robust (N2R) factor so as to solve the PLF problem in wind-integrated radial distribution systems. The proposed method is applied to various IEEE test systems, and the results are discussed. The results demonstrate the efficacy of the proposed RDC method for probabilistic load flow.
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  • Game framework for optimal allocation of spinning reserve to confront intelligent physical attacks on power system

    Ranjbar, Mohammad Hossein   Kheradmandi, Morteza   Pirayesh, Abolfazl  

    Spinning reserve (SR) serves as an efficient tool to respond to a sudden outage of power system components caused by either natural events or physical attacks. Contrary to natural threats, the intelligent physical attacks are strongly influenced by the measures taken by the system operator to defend the system and exhibit no stochastic behaviour. As a consequence, the probabilistic methods of SR provision and allocation do not prove to be appropriate to confront intelligent attacks. In this study, the interaction between the system operator as the defender and the intelligent attacker is investigated within a game model. In this model, the SR is allocated in such a way that the highest interruption cost that the attacker can impose is minimised. The technical limitations of SR provision together with operational constraints are taken into consideration. The efficacy of the proposed method is examined by conducting case studies of single and multiple-target attacks on components of IEEE 24-bus and IEEE 118-bus test systems. The results show that the proposed scheme produces a considerable reduction in the system interruption cost in comparison with the probabilistic methods.
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  • A game framework for optimal allocation of spinning reserve to confront intelligent physical attacks on power system

    Ranjbar, Mohammad Hossein   Kheradmandi, Morteza   Pirayesh, Abolfazl  

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  • A General Noise-Resilient Technique Based on the Matrix Pencil Method for the Assessment of Harmonics and Interharmonics in Power Systems

    Sheshyekani, Keyhan   Fallahi, Ghasem   Hamzeh, Mohsen   Kheradmandi, Morteza  

    This paper presents a high-accuracy technique for the assessment of harmonics and interharmonics in power systems. In the proposed method, a generalized eigenvalue problem is solved by making use of the matrix pencil method. It is a general method in the sense that it has the ability to predict the frequency, amplitude, and relative phase of frequency components present in a given signal, while the dc-off set and damping factors can be accurately estimated. It also offers a noise-resilient feature which helps to efficiently analyze the noise-contaminated signals. It shows a good performance in dealing with modulated signals as well. Due to its excellent accuracy, the proposed method is foreseen to properly work for the estimation of phasors which is a crucial need in the electrical networks. Different simulation and experimental cases are presented to evaluate the efficiency of the proposed method.
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