Review of economic dispatch in multi-area power system: State-of-the-art and future prospective
Efficient and cost-effective coordination of online generation facilities is essential to the
reliable operation multi-area power system (PS) especially in a deregulated environment …
reliable operation multi-area power system (PS) especially in a deregulated environment …
Advances and bibliographic analysis of particle swarm optimization applications in electrical power system: concepts and variants
S Tiwari, A Kumar - Evolutionary Intelligence, 2023 - Springer
Power system applications often require solving one or multiple optimization problems
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …
which are nonlinear. Due to the limitations such as dimensionality constraints and slow …
Hybridizing cuckoo search algorithm with biogeography-based optimization for estimating photovoltaic model parameters
Accurate estimation of model parameters plays a very important role in modeling solar
photovoltaic (PV) systems. In the past decade, meta-heuristic algorithms (MHAs) have been …
photovoltaic (PV) systems. In the past decade, meta-heuristic algorithms (MHAs) have been …
Phasor particle swarm optimization: a simple and efficient variant of PSO
Particle swarm optimizer is a well-known efficient population and control parameter-based
algorithm for global optimization of different problems. This paper focuses on a new and …
algorithm for global optimization of different problems. This paper focuses on a new and …
A novel and effective optimization algorithm for global optimization and its engineering applications: Turbulent Flow of Water-based Optimization (TFWO)
In this study we present a new and effective grou** optimization algorithm (namely, the
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …
Turbulent Flow of Water-based Optimization (TFWO)), inspired from a nature search …
Solving static and dynamic multi-area economic dispatch problems using an improved competitive swarm optimization algorithm
X Chen, G Tang - Energy, 2022 - Elsevier
Multi-area economic dispatch (MAED) is an important non-linear optimization problem in
power system operation. MAED involves multiple power generation areas, and minimizes …
power system operation. MAED involves multiple power generation areas, and minimizes …
Design of optimal operating rule curves for hydropower multi-reservoir systems by an influential optimization method
Hydropower plants play an integral role in energy supply and are one of the main renewable
energy sources. The efficiency of hydropower reservoir systems is controlled by operating …
energy sources. The efficiency of hydropower reservoir systems is controlled by operating …
Differential evolution algorithm with fitness and diversity ranking-based mutation operator
Differential evolution (DE) is a simple and efficient global optimization algorithm. Benefitting
from its concise structure and strong search ability, DE has been widely used in various …
from its concise structure and strong search ability, DE has been widely used in various …
A novel approach to hybrid dynamic environmental-economic dispatch of multi-energy complementary virtual power plant considering renewable energy generation …
H Wei, W Wang, X Kao - Renewable Energy, 2023 - Elsevier
Renewable energy generation significantly reduces harmful emissions and promotes
sustainable development. Still, its volatility leads to extensive grid connections, affecting …
sustainable development. Still, its volatility leads to extensive grid connections, affecting …
Optimizing operating rules for multi-reservoir hydropower generation systems: An adaptive hybrid differential evolution algorithm
The optimization of hydropower multi-reservoir systems is one of the most challenging
reservoir management problems due to the complex dynamic nonlinear influencing …
reservoir management problems due to the complex dynamic nonlinear influencing …