scholarly journals A Swarm Intelligence Approach to the Power Dispatch Problem

2010 ◽  
Vol 5 (3) ◽  
pp. 375 ◽  
Author(s):  
Dinu Călin Secui ◽  
Ioan Felea ◽  
Simona Dzitac ◽  
Laurențiu Popper
Keyword(s):  
Power Systems ◽  
Optimization Problems ◽  
Optimization Method ◽  
Economic Power ◽  
Swarm Optimization ◽  
Power Dispatch ◽  
Complex Optimization ◽  
Economic Power Dispatch ◽  
The Mathematical Model ◽  
Intelligence Approach

This paper examines how two techniques of the Particle Swarm Optimization method (PSO) can be used to solve the Economic Power Dispatch (EPD) problem. The mathematical model of the EPD is a nonlinear one, PSO algorithms being considered efficient in solving this kind of models. Also, PSO has been successfully applied in many complex optimization problems in power systems. The PSO techniques presented here are applied to three case studies, which analyze power systems having four, six, respectively twenty generating units.

scholarly journals A novel differential evolution algorithm for economic power dispatch problem

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Pooja
Keyword(s):  
Power Systems ◽  
Differential Evolution ◽  
Optimization Problem ◽  
Linear Optimization ◽  
Differential Evolution Algorithm ◽  
Economic Power ◽  
Power Dispatch ◽  
Evolution Algorithm ◽  
Economic Power Dispatch

<p style='text-indent:20px;'>In power systems, Economic Power dispatch Problem (EPP) is an influential optimization problem which is a highly non-convex and non-linear optimization problem. In the current study, a novel version of Differential Evolution (NDE) is used to solve this particular problem. NDE algorithm enhances local and global search capability along with efficient utilization of time and space by making use of two elite features: selfadaptive control parameter and single population structure. The combined effect of these concepts improves the performance of Differential Evolution (DE) without compromising on quality of the solution and balances the exploitation and exploration capabilities of DE. The efficiency of NDE is validated by evaluating on three benchmark cases of the power system problem having constraints such as power balance and power generation along with nonsmooth cost function and is compared with other optimization algorithms. The Numerical outcomes uncovered that NDE performed well for all the benchmark cases and maintained a trade-off between convergence rate and efficiency.</p>

scholarly journals Distributed Settlement of Frequency Regulation Based on a Battery Energy Storage System

Energies ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 199 ◽  
Author(s):  
Houfei Lin ◽  
Jianxin Jin ◽  
Qidai Lin ◽  
Bo Li ◽  
Chengzhi Wei ◽  
...  
Keyword(s):  
Energy Storage ◽  
Power Systems ◽  
Bottom Layer ◽  
Frequency Regulation ◽  
Economic Power ◽  
Battery Energy Storage ◽  
Power Dispatch ◽  
Battery Energy ◽  
Economic Power Dispatch ◽  
Distributed Method

Battery energy storage systems (BESS) have wide applicability for frequency regulation services in power systems, owing to their fast response and flexibility. In this paper, a distributed method for frequency regulation based on the BESS is proposed, where the method includes two layers. The upper layer is a communication network composed of agents, which is used to transmit and process information, whilst the bottom layer comprises the power system with the BESS, which provides a frequency regulation service for the system. Furthermore, a set of fully distributed control laws for the BESS are derived from the proposed distributed method, where economic power dispatch and frequency recovery are simultaneously achieved. Finally, simulations were conducted to evaluate the effectiveness of the proposed method. The results show that the system frequency regulation and economic power dispatch are achieved after considering the limits of the battery state of charge and communication delays.

scholarly journals Economic Power Dispatch using Hybrid Particle Swarm Optimization with Simplex Search Method

2020 ◽  
Vol 18 (1) ◽  
pp. 70-79 ◽  
Author(s):  
Namarta Chopra ◽  
Yadwinder Brar ◽  
Jaspreet Dhillon
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Search Method ◽  
Economic Power ◽  
Fuel Cost ◽  
Swarm Optimization ◽  
Power Dispatch ◽  
Simplex Search ◽  
Simplex Search Method ◽  
Economic Power Dispatch

This paper presents the solution of economic power dispatch (EPD) in thermal power plants using the hybridization of particle swarm optimization (PSO) and simplex search method (SSM). EPD is obtaining the best generating schedule to supply the power demand and covering the transmission losses with minimum overall fuel cost. Physical constraints like valve point loading effects, ramp rate limits and prohibited operating zones are also included with basic EPD problem to increase the practicability in the problem. As PSO performs well in finding the global best solution and SSM in finding the local best solution, thus their combination improves the overall minimum results obtained for the generation fuel cost objective function. The performance of the proposed methodology is tested on different test systems having categories of small-scale, medium-scale and large-scale power system problems. The results obtained are then compared with other reported methods to show the superiority of the proposed algorithm.

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