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Milan Bjelogrlic

Bio: Milan Bjelogrlic is an academic researcher from Siemens. The author has contributed to research in topics: Power system simulation & Electricity market. The author has an hindex of 4, co-authored 7 publications receiving 160 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors considered an application of Newton's optimal power flow to the solution of the secondary voltage/reactive power control in transmission networks and developed an efficient computer program based on the latest achievements in sparse matrix/vector techniques.
Abstract: The authors consider an application of Newton's optimal power flow to the solution of the secondary voltage/reactive power control in transmission networks. An efficient computer program based on the latest achievements in sparse matrix/vector techniques has been developed for this purpose. It is characterized by good robustness, accuracy and speed. A combined objective function appropriate for various system load levels with suitable constraints for the treatment of power system security and economy is also proposed. For the real-time voltage/receiver power control, a suboptimal power flow procedure has been derived by using the reduced set of control variables. This procedure is based on sensitivity theory applied to the determination of zones for the secondary voltage/reactive power control and a corresponding reduced set of regulating sources, whose reactive outputs represent control variables in the optimal power flow program. As a result, the optimal power flow program output becomes a schedule to be used by operators in the process of the real-time voltage/reactive power control in both normal and emergency operating states. >

150 citations

Patent
08 Apr 2003
TL;DR: In this article, a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques is presented, where a SCUC engine is used to support and implement the requirements via a computer system implementation.
Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

10 citations

Patent
08 Apr 2003
TL;DR: In this article, a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques is presented, where a SCUC engine is used to support and implement the requirements via a computer system implementation.
Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

9 citations

Patent
08 Apr 2003
TL;DR: In this article, a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques is presented, where a SCUC engine is used to support and implement the requirements via a computer system implementation.
Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

6 citations

Patent
08 Apr 2003
TL;DR: In this article, a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques is presented, where a SCUC engine is used to support and implement the requirements via a computer system implementation.
Abstract: The present invention is a method for optimizing security constrained unit commitment in the day ahead wholesale electricity market using mixed integer linear programming techniques. The wholesale electricity market uniquely requires the submission of offers to supply energy and ancillary services at stated prices, as well as bids to purchase energy, and known operating and security constraints. The present invention address the above noted needs by providing a SCUC engine to support and implement the requirements via a computer system implementation.

4 citations


Cited by
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Patent
11 Sep 2009
TL;DR: In this article, a system for electric grid utilization and optimization, comprising a communications interface executing on a network-connected server and adapted to receive information from a plurality of iNodes, is described, in which the modeling server, on receiving a request to establish an allocation of at least one of transmission losses, distribution losses, and ancillary services to a specific sink iNode, computes a virtual path for flow of electricity between a source iNode and the specific sink and further computes, for each transmission or distribution iNode included in the computed virtual path, at
Abstract: A system for electric grid utilization and optimization, comprising a communications interface executing on a network-connected server and adapted to receive information from a plurality of iNodes, the plurality of iNodes comprising a source iNode, a sink iNode, and a plurality of transmission or distribution iNodes, an event database coupled to the communications interface and adapted to receive events from a plurality of iNodes via the communications interface, a modeling server coupled to the communications interface, and a statistics server coupled to the event database and the modeling server, wherein the modeling server, on receiving a request to establish an allocation of at least one of transmission losses, distribution losses, and ancillary services to a specific sink iNode, computes at least one virtual path for flow of electricity between a source iNode and the specific sink iNode and wherein the modeling server further computes, for each transmission or distribution iNode included in the computed virtual path, at least one energy loss and allocates a portion thereof to the specific sink iNode, is disclosed.

283 citations

Journal ArticleDOI
TL;DR: The proposed Hybrid Firefly Algorithm (HFA) avoids premature convergence of original FA by exploration with FA and exploitation with NM simplex subroutine, which has better convergence characteristics and robustness compared to the original version of FA and other existing methods.

156 citations

Journal ArticleDOI
S. Corsi1, P. Marannino1, N. Losignore1, G. Moreschini1, G. Piccini1 
TL;DR: In this article, the control strategies adopted at ENEL (the Italian Electric Power Company) for the automatic voltage regulation and for the short and very short term reactive power scheduling are presented.
Abstract: The paper presents the control strategies adopted at ENEL (the Italian Electric Power Company) for the automatic voltage regulation and for the short and very short term reactive power scheduling. The advanced project is based upon a three level hierarchical control of voltage and reactive power (primary, secondary and tertiary regulation) and a reactive power dispatch procedure. The three levels are characterized by specific control actions which affect systems of different size and complexity, operating in three steps. In particular, the slowest third level executes the optimal voltage profile defined by the short or very short term reactive power scheduling. The need of an effective co-ordination between the off-line reactive scheduling procedures and the on-line voltage control is pointed out in the work. Besides, the paper presents a computation procedure realized in order to simulate the steady state behaviour of the electric power system submitted to the hierarchical voltage control system and its interaction with the VAr optimisation program. >

148 citations

Journal ArticleDOI
TL;DR: Comparison of obtained results with those reported in the literature shows clearly the superiority of ALO algorithm over other recently published algorithms in regards to real power losses and computational time, and hence confirmation of the efficiency ofALO algorithm in providing near-optimal solution.

143 citations

Patent
25 Jun 2009
TL;DR: In this paper, the authors proposed a system including a database to store demand response data, the demand response agreement parameters, demand response load and energy demand characteristics of one or more demand response customers, and the demandresponse load characteristics including power consumption capacity.
Abstract: The invention broadly encompasses a system including a database to store demand response data, the demand response data including demand response agreement parameters, demand response load and energy demand characteristics of one or more demand response customers, the demand response load characteristics including power consumption capacity of each of one or more demand response loads, an aggregator to aggregate the demand response loads based on the demand response data and forecast data into a demand response portfolio, a monitor to monitor power demand of one or more demand response customers and one or more power grids, and a dispatcher to notify the one or more demand response customers of the demand response portfolio and to notify a utility of a response from the one or more demand response customers whether to control the demand response load to return the power consumption capacity of the demand response load back to the one or more power grids.

138 citations