Invasive Weed Optimization for Combined Economic and Emission Dispatch Problems

2014 ◽  
Vol 5 (1) ◽  
pp. 1-18 ◽  
Author(s):  
B.K. Panigrahi ◽  
Manjaree Pandit ◽  
Hari Mohan Dubey ◽  
Ashish Agarwal ◽  
Wei-Chiang Hong
Keyword(s):  
Standard Test ◽  
Test Cases ◽  
Invasive Weed Optimization ◽  
Fuel Cost ◽  
Invasive Weed ◽  
Penalty Factor ◽  
Optimum Solution ◽  
Operational Constraints ◽  
Emission Dispatch

In this paper, Invasive Weed Optimization (IWO) algorithm is used to find the optimum solution of Combined Economic Emission Dispatch (CEED) problem. The main objective is to minimize the fuel cost as well as emission level, while satisfying the power demand and associative operational constraints. The bi-objective problem is made to a single objective function using the price penalty factor. Since, the minimize fuel cost and emission are contradictory to each other so to get the optimum compromise solution, weighing factor is used. IWO is applied on three different standard test cases i.e. 6 generators, 10 generators and 40 generators system. To measure the effectiveness and quality of solution, test results have been compared with other existing relevant approaches.

scholarly journals Grasshopper Optimization Algorithm on Combined Economic Emission Dispatch Problem Involving Cubic Functions

2019 ◽  
Vol 9 (1) ◽  
pp. 808-817
Keyword(s):  
Optimization Algorithm ◽  
Electric Power System ◽  
Test Cases ◽  
Fuel Cost ◽  
Unit System ◽  
Penalty Factor ◽  
Grasshopper Optimization Algorithm ◽  
Grasshopper Optimization ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

In this paper, grasshopper optimization algorithm is presented to resolve the combined economic emission dispatch (CEED) problem involving cubic functions considering power flow constraints. Electric power system wants to satisfy its customers load demand with minimum fuel cost and emission. Fuel cost and emission has instantly association with energy cost. In CEED problem, the price penalty factor occupies a cardinal role to fetch the optimal results. The various types of price penalty factor available in the literature are analyzed to determine the optimal one for the test cases considered. The test systems used in this CEED problem are 3 unit system considering transmission loss and 13 unit system considering valve point effects. The leading requirement in both the test cases is to optimize the total cost, fuel cost and emission. The numerical and statistical results affirm the high degree of the solution founded by GOA and its superiority is compared with already existing algorithms employed in solving CEED problems

scholarly journals TLBO-Based Adaptive Neurofuzzy Controller for Mobile Robot Navigation in a Strange Environment

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Awatef Aouf ◽  
Lotfi Boussaid ◽  
Anis Sakly
Keyword(s):  
Mobile Robot ◽  
Mobile Robot Navigation ◽  
Invasive Weed Optimization ◽  
Invasive Weed ◽  
Navigation Problem ◽  
Travelling Time ◽  
Teaching Learning Based Optimization ◽  
Efficient Alternative ◽  
Teaching Learning

This work investigates the possibility of using a novel evolutionary based technique as a solution for the navigation problem of a mobile robot in a strange environment which is based on Teaching-Learning-Based Optimization. TLBO is employed to train the parameters of ANFIS structure for optimal trajectory and minimum travelling time to reach the goal. The obtained results using the suggested algorithm are validated by comparison with different results from other intelligent algorithms such as particle swarm optimization (PSO), invasive weed optimization (IWO), and biogeography-based optimization (BBO). At the end, the quality of the obtained results extracted from simulations affirms TLBO-based ANFIS as an efficient alternative method for solving the navigation problem of the mobile robot.

scholarly journals Implementation and Comparison of Particle Swarm Optimization and Genetic Algorithm Techniques in Combined Economic Emission Dispatch of an Independent Power Plant

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2037 ◽  
Author(s):  
Shahbaz Hussain ◽  
Mohammed Al-Hitmi ◽  
Salman Khaliq ◽  
Asif Hussain ◽  
Muhammad Asghar Saqib
Keyword(s):  
Genetic Algorithm ◽  
Particle Swarm Optimization ◽  
Power Plant ◽  
Particle Swarm ◽  
Computational Time ◽  
Fuel Cost ◽  
Swarm Optimization ◽  
Penalty Factor ◽  
Emission Dispatch ◽  
Economic Emission Dispatch

This paper presents the optimization of fuel cost, emission of NOX, COX, and SOX gases caused by the generators in a thermal power plant using penalty factor approach. Practical constraints such as generator limits and power balance were considered. Two contemporary metaheuristic techniques, particle swarm optimization (PSO) and genetic algorithm (GA), have were simultaneously implemented for combined economic emission dispatch (CEED) of an independent power plant (IPP) situated in Pakistan for different load demands. The results are of great significance as the real data of an IPP is used and imply that the performance of PSO is better than that of GA in case of CEED for finding the optimal solution concerning fuel cost, emission, convergence characteristics, and computational time. The novelty of this work is the parallel implementation of PSO and GA techniques in MATLAB environment employed for the same systems. They were then compared in terms of convergence characteristics using 3D plots corresponding to fuel cost and gas emissions. These results are further validated by comparing the performance of both algorithms for CEED on IEEE 30 bus test bed.

scholarly journals Emission Constrained Optimal Allocation of Generation using AWDO Technique.

2019 ◽  
Vol 2 (1) ◽  
pp. 88-96
Author(s):  
Swaraj Banerjee ◽  
Dipu Sarkar
Keyword(s):  
Optimal Allocation ◽  
Optimization Method ◽  
Problem Solution ◽  
Heuristic Solution ◽  
Load Demand ◽  
Generation Scheduling ◽  
Penalty Factor ◽  
Generation Cost ◽  
Operational Constraints ◽  
Emission Dispatch

The current work introduces a meta-heuristic solution of an emission constrained optimal generation scheduling problem on the Distributed Energy Resources (DERs). The Combined Economic Emission Dispatch (CEED) problem reflects the environmental effects from the gaseous pollutants from fossil-fueled power generating plants. The CEED is a method for scheduling the generation considering both emission and generation cost meeting the needs of satisfying all operational constraints and load demand as well. The CEED problem has been formulated as a multi-objective problem and that later has been converted into a single objective function using price penalty factor. A comparatively new meta-heuristic nature-inspired global optimization method, Adaptive Wind Driven Optimization (AWDO), has been proposed to solve the CEED problem solution. The key objective is to solve the CEED problem with the proposed algorithm and analyze its effectiveness of with the help of the simulation results which later have been compared with other existing algorithms for two test systems (10 thermal units and 40 thermal units) and AWDO has proved to be the best and most powerful amongst them.

scholarly journals A two-layer improved invasive weed optimization algorithm for optimal operation of cascade reservoirs

2020 ◽  
Vol 20 (6) ◽  
pp. 2311-2323
Author(s):  
Guo-hua Fang ◽  
Cheng-jun Wu ◽  
Tao Liao ◽  
Xian-feng Huang ◽  
Bo Qu
Keyword(s):  
Optimal Operation ◽  
Oscillatory Behavior ◽  
Superior Performance ◽  
Initial Population ◽  
Invasive Weed Optimization ◽  
Invasive Weed ◽  
Index Method ◽  
Cascade Reservoirs ◽  
Parameter Values

Abstract This paper proposes a two-layer improved invasive weed optimization (TIIWO) algorithm to overcome the disadvantages of the low quality of its initial population and the low optimization performance of IWO. The TIIWO algorithm includes dynamic corridor constraints (in its outer layer) and iterative reciprocating optimization (in its inner layer). The convergence of the TIIWO algorithm is achieved by minimizing the Schaffer function, which is characterized by its strong oscillatory behavior. In addition, the sensitivity of the main TIIWO parameters is analyzed using two methods, namely the revised Morris scheme and the Sobol index method. For experimental assessment, the TIIWO algorithm is firstly applied to a single reservoir. We investigate how the algorithm convergence is affected by four algorithm variants and parameter values. Then, the TIIWO algorithm is used to solve the problem of the optimal operation of cascade reservoirs. The results show that the TIIWO algorithm quickly and efficiently reaches the optimal operation of cascade reservoirs. In addition, this algorithm exhibits superior performance for high-dimensional, nonlinear and multi-constraint problems.

scholarly journals Comparison of Two Intergranular Corrosion Tests on EN AW-6016 Sheet Material

2021 ◽  
Vol 11 (11) ◽  
pp. 5294
Author(s):  
Peer Decker ◽  
Ines Zerbin ◽  
Luisa Marzoli ◽  
Marcel Rosefort
Keyword(s):  
Optical Microscopy ◽  
Intergranular Corrosion ◽  
Sheet Material ◽  
Test Methods ◽  
Standard Test ◽  
Corrosion Depth ◽  
Corrosion Tests ◽  
Automotive Company ◽  
Test Parameters

Two different intergranular corrosion tests were performed on EN AW-6016 sheet material, an ISO 11846:1995-based test with varying solution amounts and acid concentrations, and a standard test of an automotive company (PV1113, VW-Audi). The average intergranular corrosion depth was determined via optical microscopy. The differences in the intergranular corrosion depths were then discussed with regard to the applicability and quality of the two different test methods. The influence of varying test parameters for ISO 11846:1995 was discussed as well. The determined IGC depths were found to be strongly dependent on the testing parameters, which will therefore have a pronounced influence on the determined IGC susceptibility of a material. In general, ISO 11846:1995 tests resulted in a significantly lower corrosion speed, and the corrosive attack was found to be primarily along grain boundaries.

Sign in / Sign up

Export Citation Format

Share Document