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  • 1.
    Davari Nejad, Ehsan
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Hesamzadeh, Mohammad Reza
    KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.
    Orostica, Hector Chavez
    University of Santiago de Chile, Santiago de Chile, Chile.
    Unit commitment with frequency-arresting adequacy constraint: Modelling and pricing aspects2022In: IET Generation, Transmission & Distribution, ISSN 1751-8687, E-ISSN 1751-8695, Vol. 16, no 24, p. 4924-4935Article in journal (Refereed)
    Abstract [en]

    Frequency-arresting (FA) adequacy has received an increasing attention in operation of power systems with intermittent, electronically connected wind and sfolar generation. Presence of high penetration of renewable energy leads to reduced amount of inertia in the power system and the need for more sustainable market design. This paper addresses the FA adequacy by integrating Nadir and rate of change of frequency constraints in unit commitment formulation. Here, a mixed-integer linear program (MILP) is proposed for addressing the FA adequacy. The proposed MILP model of FA adequacy is non-convex and accordingly, FA adequacy pricing requires non-convex pricing techniques. The explicit and implicit uplift payment techniques are proposed and implemented for FA adequacy pricing using the authors' proposed MILP model. The primal–dual formulation is employed for implicit uplift technique. The proposed MILP model of FA adequacy along with its pricing techniques is carefully studied through an illustrative example system. For further discussions, the Nordic 44-node test network is studied. 

  • 2.
    Davarinejad, Ehsan
    et al.
    KTH, School of Electrical Engineering and Computer Science (EECS).
    Ameli, Amir
    Univ Waterloo, Elect & Comp Engn Dept, Waterloo, ON, Canada..
    El-Saadany, Ehab
    Khalifa Univ, Elect & Comp Engn Dept, Abu Dhabi, U Arab Emirates..
    Fault-Observability Enhancement in Distribution Networks Using Power Quality Monitors2018In: 2018 IEEE Electrical Power and Energy Conference (EPEC), Institute of Electrical and Electronics Engineers (IEEE), 2018, article id 8598287Conference paper (Refereed)
    Abstract [en]

    As far as continuous supply and reliable power delivery to the distribution system customers are concerned, finding a practical and cost-effective method for locating faults after their occurrence is of high importance. In this study, a method is proposed to determine the optimal number and location of power quality monitors (PQMs) to make the distribution network fault-observable, that means, to be able to locate faults as precisely as possible. Moreover, as placement of PQMs is highly dependent on the network topology, the proposed method considers the most probable configurations of the network for optimization. The error of measuring equipment and its effect on number of PQMs is also taken into consideration. The defined objective functions of this study aim to minimize the cost of installing PQMs while minimizing the number of blind-pairs and maximizing the fault-observability level of the network. These objective functions are optimized using Multi-Objective Particle Swarm Optimization (MOPSO) technique. Additionally, to have a better economic evaluation, two scenarios are defined based on the accuracy class of monitoring equipment. The effectiveness of the proposed method is corroborated using simulation results for the IEEE 123-bus distribution test system.

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