The Experts below are selected from a list of 29097 Experts worldwide ranked by ideXlab platform

Kory W. Hedman - One of the best experts on this subject based on the ideXlab platform.

  • enhanced energy management system with corrective transmission switching strategy part ii results and discussion
    IEEE Transactions on Power Systems, 2019
    Co-Authors: Kory W. Hedman
    Abstract:

    This paper presents a novel procedure for energy management system (EMS) that can utilize the flexibility in transmission networks in a practical way. With the proposed enhanced EMS procedure, the reliability benefits that are provided by corrective transmission switching (CTS) in real-time contingency analysis can be translated into significant Cost savings in real-time security-constrained economic dispatch. Simulation results show that the Congestion Cost with consideration of CTS is largely reduced as CTS can relieve potential post-contingency network violations. The effects of integrating CTS in existing EMS procedure on markets are also analyzed. In conclusion, this two-part paper shows that CTS can achieve substantial reliability benefits, as well as significant Cost savings.

  • enhanced energy management system with corrective transmission switching strategy part i methodology
    IEEE Transactions on Power Systems, 2019
    Co-Authors: Kory W. Hedman
    Abstract:

    The flexibility in transmission networks is not fully utilized in existing energy management systems (EMSs). Corrective transmission switching (CTS) is proposed in this two-part paper to enable EMS to take advantage of the flexibility in transmission systems in a practical way. This paper proposes the following two EMS procedures: first, Procedure-A connects real-time security-constrained economic dispatch (RT SCED) with real-time contingency analysis (RTCA), which is consistent with industrial practice; and second, Procedure-B, an enhanced version of Procedure-A, includes CTS in EMS with the proposed concept of branch pseudo limit used in RT SCED. Part-I of this paper presents the methodology, whereas Part-II includes detailed results analysis. It is demonstrated that Procedure-A can effectively eliminate the base case overloads and the potential post-contingency overloads identified by RTCA, and Procedure-B can achieve significant Congestion Cost reduction with consideration of CTS in RT SCED. Numerical simulations also illustrate that integrating CTS into RT SCED would improve social welfare.

  • Enhanced Energy Management System with Corrective Transmission Switching Strategy - Part II: Results and Discussion
    arXiv: Optimization and Control, 2018
    Co-Authors: Kory W. Hedman
    Abstract:

    This paper presents a novel procedure for energy management system (EMS) that can utilize the flexibility in transmission network in a practical way. With the proposed enhanced EMS procedure, the reliability benefits that are provided by corrective transmission switching (CTS) in real-time contingency analysis (RTCA) can be translated into significant Cost savings in real-time security-constrained economic dispatch (RT SCED). Simulation results show the Congestion Cost with consideration of CTS is largely reduced as CTS can relieve potential post-contingency network violations. The effects of integrating CTS in existing EMS procedure on markets are also analyzed. In conclusion, this two-part paper shows that CTS can achieve substantial reliability benefits, as well as significant Cost savings.

  • enhanced energy management system with corrective transmission switching strategy part i methodology
    arXiv: Optimization and Control, 2018
    Co-Authors: Kory W. Hedman
    Abstract:

    The flexibility in transmission networks is not fully utilized and reflected in existing energy management systems (EMSs). Corrective transmission switching (CTS) is proposed in this two-part paper to enable EMS to take advantage of the flexibility in transmission systems in a practical way. This paper proposes two EMS procedures: 1) Procedure-A connects real-time security-constrained economic dispatch (RT SCED) with real-time contingency analysis (RTCA), which is consistent with industrial practice; 2) Procedure-B, an enhanced version of Procedure-A, includes CTS in EMS with the proposed concept of branch pseudo limit used in RT SCED. Part-I of this paper presents the methodology while Part-II includes detailed results analysis. It is demonstrated that Procedure-A can effectively eliminate the potential post-contingency overloads identified by RTCA and Procedure-B can achieve significant Congestion Cost reduction with consideration of CTS in RT SCED. Numerical simulations also illustrate that integrating CTS into RT SCED would improve social welfare.

Mahmud Fotuhifiruzabad - One of the best experts on this subject based on the ideXlab platform.

  • incorporating large scale distant wind farms in probabilistic transmission expansion planning part i theory and algorithm
    IEEE Transactions on Power Systems, 2012
    Co-Authors: Moein Moeiniaghtaie, Ali Abbaspour, Mahmud Fotuhifiruzabad
    Abstract:

    With increment in the penetration of wind energy in power systems, the necessity of considering its impacts on transmission expansion planning (TEP) studies, especially for large scale wind farms, is inevitable. A new multi-objective (MO) optimization transmission expansion planning algorithm considering wind farm generation is presented in this two-paper set. Part I is mainly devoted to derivation of the theory and algorithm. The objective functions used in the TEP studies take into account investment Cost, risk Cost and Congestion Cost. The combination of Monte Carlo simulation (MCS) and Point Estimation Method (PEM) is implemented to investigate the effects of network uncertainties. Due to its comparative assessment potential and good handling of the non-convex problems and non-commensurable objective functions, the Non-Dominated Sorting Genetic Algorithm II (NSGA II) is widely used for evaluating the MO optimization problem. Eventually, for selecting the final optimal solution, a Fuzzy decision making approach is applied based on decision maker preferences.

Ashwani Kumar - One of the best experts on this subject based on the ideXlab platform.

  • Congestion management with generic load model in hybrid electricity markets with facts devices
    International Journal of Electrical Power & Energy Systems, 2014
    Co-Authors: Ashwani Kumar, Ram Kumar Mittapalli
    Abstract:

    Abstract The load variations during the entire day specially during the peak hours have substantial impact on the loading pattern of the transmission system. The voltage profile become poor during such situation of peak loading of the network and can lead to Congestion during such events. This paper attempts Congestion management considering the impact of constant impedance, current, and power (ZIP) load model along with the load variation pattern in a day-a-head hybrid electricity market. The main contribution of the proposed work is: (i) Optimal rescheduling based Congestion management for a hybrid market model with three bid offer from generators, (ii) study of the impact of ZIP load model and load variations on rescheduling and Congestion Cost, (iii) impact of third generation FACTS devices on Congestion management, (iv) comparison of results obtained for hybrid market model without and with ZIP load model. The generators offer three block bid structure to the ISO in a day-a-head market for Congestion management. The base case economic load dispatch has been obtained for generators and is taken as base case generation output data during the Congestion management to obtain new generation schedule. The three block bid structure submitted to the ISO has been modeled as a linear bid curve which is a function of increment/decrement (inc./dec.) of generation within the upper and lower bounds offered for Congestion management. The results have been obtained for IEEE 24 bus test systems.

  • Congestion management with facts devices in deregulated electricity markets ensuring loadability limit
    International Journal of Electrical Power & Energy Systems, 2013
    Co-Authors: Ashwani Kumar, Charan Sekhar
    Abstract:

    Abstract This paper addresses an important issue of transmission system Congestion management in a pool electricity market environment with the consideration of voltage stability as loadability limit. The optimal generators’ rescheduling has been obtained for three block bid structure submitted to the ISO in a day-a-head market. The base case economic load dispatch has been obtained for generators ensuring the loadability limits and is taken as base case generation output data during the Congestion management to obtain new generation scheduling. The generation pattern has been obtained for three bid blocks taking load variation for 24 h considering load scaling factor. The three block bid structure offered to the ISO has been modeled as a linear curve, function of up and down rescheduling within the upper and lower limits offered for Congestion management. The impact of third generation FACTS devices has also been studied on the optimal rescheduling of generators’ outputs and thereby the Congestion Cost. The results have been obtained for IEEE 24 bus and IEEE 57 bus test systems.

Meisam Amirahmadi - One of the best experts on this subject based on the ideXlab platform.

  • a multi objective framework for dynamic transmission expansion planning in competitive electricity market
    International Journal of Electrical Power & Energy Systems, 2010
    Co-Authors: Asghar Akbari Foroud, Ali Akbar Abdoos, Reza Keypour, Meisam Amirahmadi
    Abstract:

    Restructuring of power system has changed the traditional planning objectives and introduced challenges in the field of Transmission Expansion Planning (TEP). Due to these changes, new approaches and criteria are needed for transmission planning in deregulated environment. Therefore, in this paper, a dynamic expansion methodology is presented using a multi-objective optimization framework. Investment Cost, Congestion Cost and reliability are considered in the optimization as three objectives. To overcome the difficulties in solving the non-convex and mixed integer nature of the optimization problems, a Non-Dominated Sorting Genetic Algorithm (NSGA II) approach is used followed by a fuzzy decision making analysis to obtain the final optimal solution. The planning methodology has been demonstrated on the IEEE 24-bus test system and north-east of Iran national 400 kV transmission grid to show the feasibility and capabilities of the proposed algorithm in electricity market environment.

Ravikumar V Pandi - One of the best experts on this subject based on the ideXlab platform.

  • Congestion management using adaptive bacterial foraging algorithm
    Energy Conversion and Management, 2009
    Co-Authors: Bijaya Ketan Panigrahi, Ravikumar V Pandi
    Abstract:

    Abstract The economical operation of power system is associated with many sub-problems. The electric market background makes the operation of system further complicated one. The Congestion management problem can be devised as the emerging problem needs to concentrate much in order to supply power to the consumers in most reliable manner. In this paper we have tried to remove the Congestion in the transmission line by generation rescheduling with the Cost involved in the rescheduling process should be minimized. The adaptive bacterial foraging algorithm with Nelder–Mead (ABFNM) is used in this work to optimize the Congestion Cost. The results are also compared with the genetic algorithm (GA), particle swarm optimization (PSO) and simple bacterial foraging (SBF) algorithms. Numerical results for the standard IEEE 30 bus system having six generating units have been presented to demonstrate the performance of the algorithm.