Solution of an economic dispatch problem through particle swarm optimization: a detailed survey-part I
A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …
single-objective economic dispatch (ED) problem. The dispatch problems even become …
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 …
[HTML][HTML] A hybrid Harris Hawks optimizer for economic load dispatch problems
This paper proposes a hybridized version of the Harris Hawks Optimizer (HHO) with
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …
adaptive-hill-climbing optimizer to tackle economic load dispatch (ELD) problems. ELD is an …
Optimal photovoltaic/battery energy storage/electric vehicle charging station design based on multi-agent particle swarm optimization algorithm
Q Dai, J Liu, Q Wei - Sustainability, 2019 - mdpi.com
In order to effectively improve the utilization rate of solar energy resources and to develop
sustainable urban efficiency, an integrated system of electric vehicle charging station …
sustainable urban efficiency, an integrated system of electric vehicle charging station …
Combined economic and emission dispatch solution using flower pollination algorithm
Abstract Economic Load Dispatch (ELD) is the process of allocating the required load
between the available generation units such that the cost of operation is minimized. The …
between the available generation units such that the cost of operation is minimized. The …
Ameliorated grey wolf optimization for economic load dispatch problem
D Singh, JS Dhillon - Energy, 2019 - Elsevier
Owing to no free lunch theorem, meta-heuristic search algorithms, behaviour and
performance are different for solving specific class of optimization problems than another …
performance are different for solving specific class of optimization problems than another …
A new modified artificial bee colony algorithm for the economic dispatch problem
DC Secui - Energy Conversion and Management, 2015 - Elsevier
In this paper a new modified artificial bee colony algorithm (MABC) is proposed to solve the
economic dispatch problem by taking into account the valve-point effects, the emission …
economic dispatch problem by taking into account the valve-point effects, the emission …
Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems
Abstract ELD (Economic Load Dispatch) is the process of allocating the required load
between the available generation units such that the cost of operation is minimized. The …
between the available generation units such that the cost of operation is minimized. The …
Economic emission load dispatch problem with valve-point loading using a novel quasi-oppositional-based political optimizer
In the present paper, a novel meta-heuristic algorithm, namely quasi-oppositional search-
based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective …
based political optimizer (QOPO), is proposed to solve a non-convex single and bi-objective …
A hybrid differential evolution algorithm based on particle swarm optimization for nonconvex economic dispatch problems
This paper presents the design and application of an efficient hybrid heuristic search method
to solve the practical economic dispatch problem considering many nonlinear characteristics …
to solve the practical economic dispatch problem considering many nonlinear characteristics …