Proceedings ArticleDOI
An Improved Particle Swarm Optimization Algorithm for Unit Commitment
Wei Xiong,Maojun Li,Yuan-lin Cheng +2 more
- Vol. 1, pp 21-25
TLDR
The application of the new generating strategy in PSO can efficiently improve the global searching capability and escape from local minima and could obtain the global optimum solution more probably.Abstract:
This paper presents a new approach via multi-particle swarm optimization (MPSO) to solve the unit commitment (UC) problem. A new strategy which can generate feasible particles and make the search space narrow within the feasible solutions is presented. Some particle swarms are generated by the new strategy, and location optimum solutions are searched in each particle swarm, then a new particle swarm is made up of location optimum solutions, and the global optimum solution is searching in this new particle swarm. The application of the new generating strategy in PSO can efficiently improve the global searching capability and escape from local minima. The simulation results show that the method is more efficient than genetic algorithm, and could obtain the global optimum solution more probably.read more
Citations
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Journal ArticleDOI
A New Quantum-Inspired Binary PSO: Application to Unit Commitment Problems for Power Systems
TL;DR: The proposed QBPSO combines the conventional BPSO with the concept and principles of quantum computing such as a quantum bit and superposition of states and is applied to unit commitment (UC) problems for power systems which are composed of up to 100-units with 24-h demand horizon.
Journal ArticleDOI
Unit Commitment Problem Solution Using Shuffled Frog Leaping Algorithm
TL;DR: A new evolutionary algorithm known as the shuffled frog leaping algorithm is presented, to solve the unit commitment (UC) problem, to minimize the total energy dispatch cost over the scheduling horizon while all of the constraints should be satisfied.
Journal ArticleDOI
A novel hybrid PSO---GWO approach for unit commitment problem
TL;DR: This research paper presents solution to single-area unit commitment problem for 14-bus system, 30- bus system and 10-generating unit model using swarm-intelligence-based particle swarm optimization algorithm and a hybrid PSO–GWO algorithm.
Journal ArticleDOI
Power Flow Management of a Grid Tied PV-Battery System for Electric Vehicles Charging
Mohamed Badawy,Yilmaz Sozer +1 more
TL;DR: In this paper, an optimal power flow technique of a PV-battery powered fast EV charging station is presented to continuously minimize the operation cost, along with the required constraints and the operating cost function is chosen as a combination of electricity grid prices and the battery degradation cost.
Journal ArticleDOI
Binary Grey Wolf Optimizer for large scale unit commitment problem
TL;DR: The simulation results demonstrate the superior performance of BGWO in solving UC problem for small, medium and large scale systems successfully compared to other well established heuristic and binary approaches.
References
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Proceedings ArticleDOI
Particle swarm optimization
TL;DR: A concept for the optimization of nonlinear functions using particle swarm methodology is introduced, and the evolution of several paradigms is outlined, and an implementation of one of the paradigm is discussed.
Book
Power Generation, Operation, and Control
Allen J. Wood,Bruce Wollenberg +1 more
TL;DR: In this paper, the authors present a graduate-level text in electric power engineering as regards to planning, operating, and controlling large scale power generation and transmission systems, including characteristics of power generation units, transmission losses, generation with limited energy supply, control of generation, and power system security.
Journal ArticleDOI
A particle swarm optimization for economic dispatch with nonsmooth cost functions
TL;DR: In this paper, a modified particle swarm optimization (MPSO) was proposed to deal with the equality and inequality constraints in the economic dispatch (ED) problems with nonsmooth cost functions.
Journal ArticleDOI
Evolutionary programming based economic dispatch for units with non-smooth fuel cost functions
TL;DR: Based on the evolutionary programming (EP) technique, the new algorithm is capable of determining the global or near global optimal dispatch solutions in the cases where the classical Lagrangian based algorithms cease to be applicable.
Journal ArticleDOI
Hybrid PSO–SQP for economic dispatch with valve-point effect
TL;DR: The proposed method out-performs and provides quality solutions compared to other existing techniques for EDP considering valve-point effects are shown in general.