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Publications

Publications by CPES

2022

Experimentally Validated Extended Kalman Filter Approach for Geomagnetically Induced Currents Measurement

Authors
Behdani, B; Tajdinian, M; Allahbakhshi, M; Popov, M; Shafie khah, M; Catalao, JPS;

Publication
IEEE Transactions on Industrial Electronics

Abstract
Geomagnetically induced currents (GICs) are referred to the quasi-DC current flows in power networks, driven by complex space weather-related phenomena. Such currents are a potential threat to the power delivery capability of electrical grids. To mitigate the detrimental impacts of GICs on critical infrastructures, the GICs should be monitored in power systems. Being inherently DC from the power frequency point of view, the components of GICs are, however, challenging and costly to monitor in AC power grids. This paper puts forward a novel methodology for the real-time estimation of GICs in power transformers. Such aim is attained by means of an extended Kalman filter (EKF)-based approach, mounted on the nonlinear state-space model of the transformer, whose parameters can be derived from standard tests. The proposed EKF-based algorithm employs the available measurements for the transformer differential protection. The proposed approach, relying on the differential current, can properly deal with the external sources of interference like harmonic excitation and loading. The EKF-based estimator presented is validated by simulation and experimental data. The results verify the ability of the proposed approach to robustly estimate the GIC level during various operating conditions.

2022

Network-secure bidding strategy for aggregators under uncertainty

Authors
Iria, J; Coelho, A; Soares, F;

Publication
Sustainable Energy, Grids and Networks

Abstract

2022

Optimal scheduling of self-healing distribution systems considering distributed energy resource capacity withholding strategies

Authors
Aboutalebi, M; Setayesh Nazar, M; Shafie khah, M; Catalão, JPS;

Publication
International Journal of Electrical Power and Energy Systems

Abstract
This paper presents a multi-stage day-ahead and real-time optimization algorithm for scheduling of system's energy resources in the normal and external shock operational conditions. The main contribution of this paper is that the model considers the non-utility electricity generation facilities capacity withholding opportunities in the optimal scheduling of system resources. The real-time simulation of external shock impacts is another contribution of this paper that the algorithm simulates the sectionalizing of the system into multi-microgrids to increase the resiliency of the system. The optimization process is categorized into two stages that compromise normal and contingent operational conditions. Further, the normal operational scheduling problem is decomposed into three steps. At the first step, the optimal day-ahead scheduling of system resources and the switching of normally opened switches are determined. At the second step, the optimal real-time market scheduling is performed and the switching of normally closed switches is optimized. At the third step, different extreme shock scenarios are simulated in the real-time horizon and the effectiveness of sectionalizing the system into multi-micro grids are assessed. Finally, at the contingent operational conditions, the optimal topology of the system and scheduling of energy resources are determined. The proposed method was successfully assessed for the 33-bus and 123-bus test systems. The algorithm were reduced the expected cost of the worst-case contingencies for the 33-bus and 123-bus systems by about 97.89% and 88.11%, respectively. Further, the average and maximum values of the 123-bus system capacity-withholding index for real-time conditions reduced by about 67.40% and 71.05%, respectively. © 2021 Elsevier Ltd

2022

Optimal sizing of renewable energy systems in a Microgrid considering electricity market interaction and reliability analysis

Authors
Hakimi, SM; Hasankhani, A; Shafie khah, M; Lotfi, M; Catalao, JPS;

Publication
Electric Power Systems Research

Abstract
This paper addresses the optimal sizing of renewable energy systems (RESs) in a microgrid (MG), where the MG participates in the electricity market. A novel method for reliability analysis is proposed in this study to deal with the high penetration of RESs. In this framework, the MG is considered as a price maker, having a two-direction relation with the electricity market. RESs, including photovoltaic (PV) panels, wind turbines (WTs), and fuel cells, are optimally sized based on the reliability index, and the results are evaluated before and after the MG involvement in the electricity market. The results show a 3.6% decrease in the total cost of the microgrid as a result of the transactions with the electricity market. Furthermore, the efficiency of the proposed approximate reliability method is verified, where the reliability of the MG is evaluated with less computational complexity and acceptable accuracy. © 2021

2022

Optimal price-based and emergency demand response programs considering consumers preferences

Authors
Dadkhah, A; Bayati, N; Shafie khah, M; Vandevelde, L; Catalão, JPS;

Publication
International Journal of Electrical Power and Energy Systems

Abstract
This paper presents a pricing optimisation framework for energy, reserve, and load scheduling of a power system considering demand response (DR). The proposed scheduling framework is formulated as a reliability-constrained unit commitment program to minimise the power system operation costs by finding optimal electricity prices and optimal incentives while guaranteeing the reliability of the system during contingencies. Moreover, customers’ attitude toward the electricity price and incentive adjustment and the effect of their preferences on load scheduling and operation of the system are investigated in various DR programs. The proposed scheme is implemented on an IEEE test system, and the scheduling process with and without DR implementation is discussed in detail by a numerical study. The proposed method helps both the system operators and customers to reliably schedule generation and consumption units and select the proper DR program according to defined prices and incentives in the case of an emergency. © 2022 Elsevier Ltd

2022

Optimal bidding strategy of a renewable-based virtual power plant including wind and solar units and dispatchable loads

Authors
Shafiekhani, M; Ahmadi, A; Homaee, O; Shafie khah, M; Catalao, JPS;

Publication
Energy

Abstract

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