K Dasgupta, S Banerjee - 2014 First International Conference …, 2014 - ieeexplore.ieee.org
The paper presents Particle Swarm Optimization with Constriction Factor and Inertia Weight Approach which is applied to determine the optimal hourly schedule of power generation in …
This paper proposes two solution methods with the help of metaheuristic algorithms to reduce the electricity generation costs of power plants in an IEEE 30-node transmission …
This paper proposes an effectively adaptive selective cuckoo search algorithm (ASCSA) for solving short-term hydrothermal scheduling problems with available water constraint …
PT Ha, DT Tran, TT Nguyen - Neural Computing and Applications, 2022 - Springer
This paper presents the applications of novel metaheuristic algorithms including equilibrium optimization (EO), coot optimization, and slime mould optimization together with three …
This paper proposes a High Performance Cuckoo Search Algorithm (HPCSA) for determining suitable operation parameters of the optimal wind-hydro-thermal system …
This paper proposes an efficient and new modified differential evolution algorithm (ENMDE) for solving two short-term hydrothermal scheduling (STHTS) problems. The first is to take the …
This research applies new computing methods to optimize the operation of a typical hydrothermal system for one day. The system consists of one thermal power plant (TPP) and …
TT Nguyen, DN Vo - Neural Computing and Applications, 2019 - Springer
This paper presents an implementation of an effective cuckoo search algorithm (ECSA) for solving hydrothermal scheduling (ST-FH-HTS) problems considering transmission power …
This paper proposes an effective novel cuckoo search algorithm (ENCSA) in order to enhance the operation capacity of hydrothermal power systems, considering the constraints …