Brent method for Dynamic Economic Dispatch with transmission losses

2008 ◽  
Author(s):  
K. Chandram ◽  
N. Subrahmanyam ◽  
M. Sydulu
Keyword(s):  
Economic Dispatch ◽  
Transmission Losses ◽  
Dynamic Economic Dispatch

On Evolutionary and Swarm Computation for Solving the Dynamic Economic Dispatch: a Rapid Review

2020 ◽  
Author(s):  
Omar Andres Carmona Cortes ◽  
Daniel Lima Gomes Junior ◽  
Osvaldo Ronald Saavedra
Keyword(s):  
Evolutionary Algorithms ◽  
Swarm Intelligence ◽  
Optimization Problem ◽  
Economic Dispatch ◽  
Rapid Review ◽  
Transmission Losses ◽  
Valve Effect ◽  
Dynamic Economic Dispatch ◽  
Single Objective

The Dynamic Economic Dispatch problem is an essential and challenging optimization problem in the field of power dispatch. Several techniques have been investigated for its optimization, especially metaheuristics. This rapid review focuses on evolutionary and swarm computation, focusing on 22 research publications for solving the single objective DED problem. Through this review, we discuss the techniques that have been used to solve the problem and how they tackled the DED constraints. We analyze the problem's complexity, showing if the problem being solved considers the valve effect, transmission losses, ramp rates, prohibited zones, and reserve spinning requirements. Also, we investigate the number of units used in each case study. Therefore, we believe that this review is relevant for driving researchers interested in using evolutionary algorithms or swarm intelligence to tackle the DED problem in all its complexity and how the proposed algorithms deal with constraints.

Transmission Loss Calculation using A and B Loss Coefficients in Dynamic Economic Dispatch Problem

2016 ◽  
Vol 17 (2) ◽  
pp. 205-216 ◽  
Author(s):  
C. H. Ram Jethmalani ◽  
Poornima Dumpa ◽  
Sishaj P. Simon ◽  
K. Sundareswaran
Keyword(s):  
Transmission Loss ◽  
Economic Dispatch ◽  
Load Flow ◽  
Transmission Losses ◽  
Unit Load ◽  
Loss Calculation ◽  
Novel Approach ◽  
Loss Coefficients ◽  
Dynamic Economic Dispatch ◽  
Bus System

Abstract This paper analyzes the performance of A-loss coefficients while evaluating transmission losses in a Dynamic Economic Dispatch (DED) Problem. The performance analysis is carried out by comparing the losses computed using nominal A loss coefficients and nominal B loss coefficients in reference with load flow solution obtained by standard Newton-Raphson (NR) method. Density based clustering method based on connected regions with sufficiently high density (DBSCAN) is employed in identifying the best regions of A and B loss coefficients. Based on the results obtained through cluster analysis, a novel approach in improving the accuracy of network loss calculation is proposed. Here, based on the change in per unit load values between the load intervals, loss coefficients are updated for calculating the transmission losses. The proposed algorithm is tested and validated on IEEE 6 bus system, IEEE 14 bus, system IEEE 30 bus system and IEEE 118 bus system. All simulations are carried out using SCILAB 5.4 (www.scilab.org) which is an open source software.

The Economic Dispatch of Wind Integrated Power System based on an Improved Differential Evolution Algorithm

2020 ◽  
Vol 13 (3) ◽  
pp. 384-395
Author(s):  
Haiqing Liu ◽  
Jinmeng Qu ◽  
Yuancheng Li
Keyword(s):  
Differential Evolution ◽  
Artificial Bee Colony Algorithm ◽  
Artificial Bee Colony ◽  
Economic Dispatch ◽  
Differential Evolution Algorithm ◽  
Bee Colony ◽  
Evolution Algorithm ◽  
Improved Differential Evolution Algorithm ◽  
Dynamic Economic Dispatch ◽  
Integrated Power System

Background: As more and more renewable energy such as wind energy is connected to the power grid, the static economic dispatch in the past cannot meet its needs, so the dynamic economic dispatch of the power grid is imperative. Methods: Hence, in this paper, we proposed an Improved Differential Evolution algorithm (IDE) based on Differential Evolution algorithm (DE) and Artificial Bee Colony algorithm (ABC). Firstly, establish the dynamic economic dispatch model of wind integrated power system, in which we consider the power balance constraints as well as the generation limits of thermal units and wind farm. The minimum power generation costs are taken as the objectives of the model and the wind speed is considered to obey the Weibull distribution. After sampling from the probability distribution, the wind speed sample is converted into wind power. Secondly, we proposed the IDE algorithm which adds the local search and global search thoughts of ABC algorithm. The algorithm provides more local search opportunities for individuals with better evolution performance according to the thought of artificial bee colony algorithm to reduce the population size and improve the search performance. Results: Finally, simulations are performed by the IEEE-30 bus example containing 6 generations. By comparing the IDE with the other optimization model like ABC, DE, Particle Swarm Optimization (PSO), the experimental results show that obtained optimal objective function value and power loss are smaller than the other algorithms while the time-consuming difference is minor. The validity of the proposed method and model is also demonstrated. Conclusion: The validity of the proposed method and the proposed dispatch model is also demonstrated. The paper also provides a reference for economic dispatch integrated with wind power at the same time.

scholarly journals Solving the Real Power Limitations in the Dynamic Economic Dispatch of Large-Scale Thermal Power Units under the Effects of Valve-Point Loading and Ramp-Rate Limitations

2021 ◽  
Vol 13 (3) ◽  
pp. 1274
Author(s):  
Loau Al-Bahrani ◽  
Mehdi Seyedmahmoudian ◽  
Ben Horan ◽  
Alex Stojcevski
Keyword(s):  
Large Scale ◽  
Thermal Power ◽  
Optimization Technique ◽  
Economic Dispatch ◽  
Pso Algorithm ◽  
Search Space ◽  
Economic Benefits ◽  
Optimization Techniques ◽  
Ramp Rate ◽  
Dynamic Economic Dispatch

Few non-traditional optimization techniques are applied to the dynamic economic dispatch (DED) of large-scale thermal power units (TPUs), e.g., 1000 TPUs, that consider the effects of valve-point loading with ramp-rate limitations. This is a complicated multiple mode problem. In this investigation, a novel optimization technique, namely, a multi-gradient particle swarm optimization (MG-PSO) algorithm with two stages for exploring and exploiting the search space area, is employed as an optimization tool. The M particles (explorers) in the first stage are used to explore new neighborhoods, whereas the M particles (exploiters) in the second stage are used to exploit the best neighborhood. The M particles’ negative gradient variation in both stages causes the equilibrium between the global and local search space capabilities. This algorithm’s authentication is demonstrated on five medium-scale to very large-scale power systems. The MG-PSO algorithm effectively reduces the difficulty of handling the large-scale DED problem, and simulation results confirm this algorithm’s suitability for such a complicated multi-objective problem at varying fitness performance measures and consistency. This algorithm is also applied to estimate the required generation in 24 h to meet load demand changes. This investigation provides useful technical references for economic dispatch operators to update their power system programs in order to achieve economic benefits.

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