scholarly journals Analysis of Particle Swarm-Aided Power Plant Optimization

2015 ◽  
Vol 59 (3) ◽  
pp. 102-108 ◽  
Author(s):  
Axel Groniewsky
Keyword(s):  
Power Plant ◽  
Particle Swarm ◽  
Plant Optimization

Solar Power Plant Optimization

2015 ◽  
pp. 274-299
Author(s):  
Carlos Sanchez Reinoso ◽  
Román Buitrago ◽  
Diego Milone
Keyword(s):  
Power Plant ◽  
Evolutionary Computation ◽  
Solar Power ◽  
Fitness Function ◽  
Solar Power Plant ◽  
Computation Techniques ◽  
Photovoltaic Power ◽  
Plant Optimization ◽  
Optimization Methodology ◽  
Crossover And Mutation

The objective of this chapter is to optimize the photovoltaic power plant considering the effects of variable shading on time and weather. For that purpose, an optimization scheme based on the simulator from Sanchez Reinoso, Milone, and Buitrago (2013) and on evolutionary computation techniques is proposed. Regarding the latter, the representation used and the proposed initialization mechanism are explained. Afterwards, the proposed algorithms that allow carrying out crossover and mutation operations for the problem are detailed. In addition, the designed fitness function is presented. Lastly, experiments are conducted with the proposed optimization methodology and the results obtained are discussed.

scholarly journals Demand-Responsive Virtual Power Plant Optimization Scheduling Method Based on Competitive Bidding Equilibrium

2018 ◽  
Vol 152 ◽  
pp. 1158-1163 ◽  
Author(s):  
Jie Xiao ◽  
Xiangyu Kong ◽  
Qiang Jin ◽  
Hengxu You ◽  
Kai Cui ◽  
...  
Keyword(s):  
Power Plant ◽  
Competitive Bidding ◽  
Virtual Power ◽  
Virtual Power Plant ◽  
Plant Optimization ◽  
Scheduling Method ◽  
Optimization Scheduling

scholarly journals Nuclear Power Plant Construction Scheduling Problem with Time Restrictions: A Particle Swarm Optimization Approach

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Shang-Kuan Chen ◽  
Yen-Wu Ti ◽  
Kuo-Yu Tsai
Keyword(s):  
Particle Swarm Optimization ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Particle Swarm ◽  
Scheduling Problem ◽  
Swarm Optimization ◽  
Construction Scheduling ◽  
Plant Construction ◽  
Reactor Installation

In nuclear power plant construction scheduling, a project is generally defined by its dependent preparation time, the time required for construction, and its reactor installation time. The issues of multiple construction teams and multiple reactor installation teams are considered. In this paper, a hierarchical particle swarm optimization algorithm is proposed to solve the nuclear power plant construction scheduling problem and minimize the occurrence of projects failing to achieve deliverables within applicable due times and deadlines.

scholarly journals Binary Particle Swarm Optimization for Scheduling MG Integrated Virtual Power Plant Toward Energy Saving

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 107937-107951 ◽  
Author(s):  
M. A. Hannan ◽  
M. G. M. Abdolrasol ◽  
M. Faisal ◽  
P. J. Ker ◽  
R. A. Begum ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Power Plant ◽  
Energy Saving ◽  
Particle Swarm ◽  
Binary Particle Swarm Optimization ◽  
Virtual Power ◽  
Swarm Optimization ◽  
Virtual Power Plant

Application of Fuzzy Immune PID Controller Based on Particle Swarm Optimization in Power Plant Steam Temperature Control System

2014 ◽  
Vol 950 ◽  
pp. 257-262 ◽  
Author(s):  
Fei Hu ◽  
Wu Neng Zhou
Keyword(s):  
Particle Swarm Optimization ◽  
Power Plant ◽  
Temperature Control ◽  
Pid Control ◽  
Pid Controller ◽  
Particle Swarm ◽  
Temperature Control System ◽  
Steam Temperature ◽  
Swarm Optimization ◽  
Adjustment Time

Power plant steam temperature control has characteristics of long delay and great inertia, a new method is proposed by analyzing above-mentioned problems and existing control methods on this paper. The method consists of an improved particle swarm optimization algorithm and a fuzzy immune PID controller. In addition, simulation results of PID, traditional fuzzy immune PID and fuzzy immune PID based on PSO are presented and compared. Fuzzy immune PID Control based on PSO has advantages of short adjustment time, quicker response time, better anti-interference ability and more stability. It can reduce the fluctuation of power plant steam temperature, and has better control performance and practical value.

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