A New Multi-Objective Design for Optimal Placement of Gas Turbines considering Black-start Capability Improvement

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Esmaili Mohammad Reza; KHODABAKHSHIAN AMIN; HOOSHMAND RAHMAT ALLAH

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Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2019 | Volume:10 | Issue:1 Page(s): 19-32

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Title

A New Multi-Objective Design for Optimal Placement of Gas Turbines considering Black-start Capability Improvement

Author(s)

Esmaili Mohammad Reza | KHODABAKHSHIAN AMIN | HOOSHMAND RAHMAT ALLAH | Issue Writer Certificate

Keywords

Power System Restoration BlackQ1

start Units Crow Search Algorithm MultiQ1

objective Design Pareto Optimal SetQ1

Abstract

Installing new energy sources as redundant black-start (BS) units is an efficient way to enhance the speed of power system restoration, especially when there is a high risk that the available power plants considered as BS units fail to operate. In this regard, this paper provides a new optimal design for the placement of the Gas Turbine (GT) as the redundant energy source to improve the power system performance during both restoration and normal conditions. In doing so, there will be contradictory objective functions to be minimized. Therefore, a multi-objective problem (MOP), as a mixed integer linear programming (MILP), is defined. The Pareto optimal solutions of the MOP are obtained by using a new population-based meta-heuristic technique, called Crow Search Algorithm (CSA). Two power systems are used for the validation of the proposed method. The simulation results show that the system can benefit from this method not only to increase the capability of black-start generation, but also to improve the power system performance in normal conditions. During the restoration process, it also provides the optimal start-up sequences of non-black-start (NBS) units with the optimal transmission paths.

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APA: Copy

Esmaili, Mohammad Reza, KHODABAKHSHIAN, AMIN, & HOOSHMAND, RAHMAT ALLAH. (2019). A New Multi-Objective Design for Optimal Placement of Gas Turbines considering Black-start Capability Improvement. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 10(1 ), 19-32. SID. https://sid.ir/paper/203056/en

Vancouver: Copy

Esmaili Mohammad Reza, KHODABAKHSHIAN AMIN, HOOSHMAND RAHMAT ALLAH. A New Multi-Objective Design for Optimal Placement of Gas Turbines considering Black-start Capability Improvement. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2019;10(1 ):19-32. Available from: https://sid.ir/paper/203056/en

IEEE: Copy

Mohammad Reza Esmaili, AMIN KHODABAKHSHIAN, and RAHMAT ALLAH HOOSHMAND, “A New Multi-Objective Design for Optimal Placement of Gas Turbines considering Black-start Capability Improvement,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 10, no. 1 , pp. 19–32, 2019, [Online]. Available: https://sid.ir/paper/203056/en

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