Abstract
Finding the Optimal Power Flow (OPF) which minimizes total generator cost is the answer to one of the most important problems in the electricity market operation. Independent System Operators (ISO) face many challenges while operating the system in order to obtain economic benefits and security. The solution to this problem is known as Security Constrained Optimal Power Flow (SCOPF). SCOPF is a very large-scale and nonlinear optimization problem with many complex constraints. This paper proposes the Sunflower Optimization (SFO) algorithm for solving the SCOPF problem. The proposed method is tested on the IEEE 30-bus and the IEEE 118-bus systems for both normal and outage cases. The result comparison with other known methods showed that the proposed SFO algorithm is an effective method for solving the SCOPF problem in the electricity market.
Highlights
The restructuring of the electricity industry made the electrical energy a commodity
Power system security [1] has become one of the most important aspects in the electricity market operation [2]. This problem is known as the Security Constrained Optimal Power Flow (SCOPF) [3,4,5] which is an extension of the OPF problem [6] which is used to obtain an economical operation of the system while considering normal operating limits, and violations that would occur during contingencies
The SCOPF still faces challenges related to computations, it is expected that it eventually become a standard tool in the electricity market [7]
Summary
The restructuring of the electricity industry made the electrical energy a commodity. Power system security [1] has become one of the most important aspects in the electricity market operation [2] This problem is known as the Security Constrained Optimal Power Flow (SCOPF) [3,4,5] which is an extension of the OPF problem [6] which is used to obtain an economical operation of the system while considering normal operating limits, and violations that would occur during contingencies. In [19], a PSO approach was presented to solve an Optimal Power Flow (OPF) problem with embedded security constraints represented by a mixture of continuous and discrete control variables, where the major aim is to minimize the total operating cost, taking into account both operating security constraints and system capacity requirements. The Sunflower Optimization (SFO) algorithm [23] is proposed for solving the SCOPF problem. The proposed method is tested on the IEEE 30-bus and the IEEE 118-bus systems, and the results are compared with the results of other known methods
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Engineering, Technology & Applied Science Research
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
