Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Cuckoo Search Algorithm based environmental economic dispatch of microgrid system with distributed generation
In present scenario economic dispatch for the microgrid (MG) is better suited to the requirements of a system in actual operation because it not only considers the lowest cost in a scheduling cycle but also coordinates between different distributed generations (DGs) over many periods. Wind energy and solar energy are subjected to random variations and intervals, so there is a great difficulty in solving the economic dispatch problem. In this paper, different distributed generations are employed in MG which includes photovoltaic arrays, wind turbine, fuel cell, diesel engines, gas-turbine and battery. In this work the MG is considered to be operating in islanding mode. The main objective of this work is to minimize the generation cost and emission cost of the MG while satisfying system hourly demand and system constraints. Economic dispatch for MG involving DGs is an optimization problem and in this paper Cuckoo Search Algorithm (CSA) is used to perform the optimization process. The results obtained from CSA is compared with Particle Swarm Optimization (PSO) algorithm and it is inferred that CSA shows better global convergence when compared to PSO and also gives good optimum solution by reducing system generation cost and emission cost.
Cuckoo Search Algorithm based environmental economic dispatch of microgrid system with distributed generation
In present scenario economic dispatch for the microgrid (MG) is better suited to the requirements of a system in actual operation because it not only considers the lowest cost in a scheduling cycle but also coordinates between different distributed generations (DGs) over many periods. Wind energy and solar energy are subjected to random variations and intervals, so there is a great difficulty in solving the economic dispatch problem. In this paper, different distributed generations are employed in MG which includes photovoltaic arrays, wind turbine, fuel cell, diesel engines, gas-turbine and battery. In this work the MG is considered to be operating in islanding mode. The main objective of this work is to minimize the generation cost and emission cost of the MG while satisfying system hourly demand and system constraints. Economic dispatch for MG involving DGs is an optimization problem and in this paper Cuckoo Search Algorithm (CSA) is used to perform the optimization process. The results obtained from CSA is compared with Particle Swarm Optimization (PSO) algorithm and it is inferred that CSA shows better global convergence when compared to PSO and also gives good optimum solution by reducing system generation cost and emission cost.
Cuckoo Search Algorithm based environmental economic dispatch of microgrid system with distributed generation
Vasanthakumar, S. (Autor:in) / Kumarappan, N. (Autor:in) / Arulraj, R. (Autor:in) / Vigneysh, T. (Autor:in)
01.05.2015
390864 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
An Economic Dispatch Method of Microgrid Based on Fully Distributed ADMM Considering Demand Response
| DOAJ | 2022
Structural damage identification based on cuckoo search algorithm
| SAGE Publications | 2016
Harmony Search Algorithm with Opposition-Based Learning for Power System Economic Load Dispatch
| British Library Conference Proceedings | 2015
Real-time microgrid economic dispatch based on model predictive control strategy
| DOAJ | 2017
Dynamic dispatch optimization of microgrid based on a QS-PSO algorithm
| American Institute of Physics | 2017