A new opposition crow search optimizer-based two-step approach for controlled intentional islanding in microgrids
- PDF / 2,558,457 Bytes
- 14 Pages / 595.276 x 790.866 pts Page_size
- 19 Downloads / 177 Views
(0123456789().,-volV)(0123456789(). ,- volV)
METHODOLOGIES AND APPLICATION
A new opposition crow search optimizer-based two-step approach for controlled intentional islanding in microgrids K. Karthikumar1 • V. Senthil Kumar2
Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract Crow search optimizer is considered as the latest meta-heuristic algorithm that is influenced by crow’s behavior. The proposed oppositional crow search optimizer (OCSO) is intended here, for solving the intentional islanding problem. This paper has proposed a novel two-step method by considering the most significant factors such as the constraints of line capacity, bus voltage, load priority, load controllability, problem occurred due to spacing of solutions as well as the capability of integrating the islands to produce higher intentional islands. Initially, the tree knapsack problem is considered as an intentional islanding issue and therefore the OCSO algorithm is employed in solving such shortcomings. In OCSO approach, the opposition-based generation jumping and population initialization concept are used in crow search optimizer for improving the convergence profile and computational speed. In next process, island feasibility is verified by means of conducting power flow computation and providing significant modifications. Six distributed generations containing IEEE 69-bus test system are employed in validating experimentally the efficiency of the proposed approach, and comparison was done for the obtained results with the other existing approaches. The comparative analysis is evaluated to enhance the level of reliability, particularly critical load. Keywords Opposition Crow search optimizer IEEE 69-bus Intentional islanding Microgrid
1 Introduction The upstream grid is considered as a core element for short-circuit level and power generation, and this assumption is largely encouraged for the development of conventional distribution systems. But, in the current world, this assumption becomes less worthy due to the introduction of efficient distributed generation (DG) (Vahid et al. 2018; Walling et al. 2008). The notion of the smart microgrid can be applied effectively in connected and islanded modes; hence, they recovered the distribution network problem (Lasseter 2011; Hu et al. 2013, 2016, 2017). Moreover, the ancillary services (e.g., Communicated by V. Loia. & K. Karthikumar [email protected] 1
Department of Electrical and Electronics Engineering, Vel Tech Rengarajan Dr sagunthala R & D Institute of Science and Technology, Chennai, Tamil Nadu, India
2
Department of Electrical and Electronics Engineering, CEG, Anna University, Chennai, India
voltage regulation and appropriate environmental effects) and effectiveness improvement, network security, and reliability are the commonly known features of microgrid (Brown 2010; El-Zonkoly 2011; El-Zonkoly et al. 2013). However, intentional islanding acts as a better solution for the enhancement of system reliability. Further, in the DGs on supplying a la
Data Loading...
