scholarly journals Selecting a Meta-Heuristic Technique for Smart Micro-Grid Optimization Problem: A Comprehensive Analysis

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 13951-13977 ◽  
Author(s):  
Baseem Khan ◽  
Pawan Singh
Keyword(s):  
Optimization Problem ◽  
Comprehensive Analysis ◽  
Heuristic Technique ◽  
Grid Optimization ◽  
Micro Grid

scholarly journals ANALYSIS AND SYNTHESIS OF ENHANCED ANT COLONY OPTIMIZATION WITH THE TRADITIONAL ANT COLONY OPTIMIZATION TO SOLVE TRAVELLING SALES PERSON PROBLEM

2011 ◽  
Vol 1 (1) ◽  
pp. 88-92
Author(s):  
Pallavi Arora ◽  
Harjeet Kaur ◽  
Prateek Agrawal
Keyword(s):  
Combinatorial Optimization ◽  
Ant Colony Optimization ◽  
Optimization Problem ◽  
Traditional Approach ◽  
Combinatorial Optimization Problem ◽  
Ant Colony ◽  
Ant Colony Optimization Algorithm ◽  
Analysis And Synthesis ◽  
Heuristic Technique ◽  
Travelling Salesperson Problem

Ant Colony optimization is a heuristic technique which has been applied to a number of combinatorial optimization problem and is based on the foraging behavior of the ants. Travelling Salesperson problem is a combinatorial optimization problem which requires that each city should be visited once. In this research paper we use the K means clustering technique and Enhanced Ant Colony Optimization algorithm to solve the TSP problem. We show a comparison of the traditional approach with the proposed approach. The simulated results show that the proposed algorithm is better compared to the traditional approach.

scholarly journals Risk-Based Two-Stage Stochastic Optimization Problem of Micro-Grid Operation with Renewables and Incentive-Based Demand Response Programs

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 610 ◽  
Author(s):  
Pouria Sheikhahmadi ◽  
Ramyar Mafakheri ◽  
Salah Bahramara ◽  
Maziar Damavandi ◽  
João Catalão
Keyword(s):  
Stochastic Optimization ◽  
Demand Response ◽  
Optimization Problem ◽  
Two Stage ◽  
Stochastic Optimization Problem ◽  
Micro Grid ◽  
Grid Operation ◽  
Demand Response Programs

scholarly journals Optimal Coordination of DOC Relays Incorporated into a Distributed Generation-Based Micro-grid Using a Meta-Heuristic MVO Algorithm

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4115 ◽  
Author(s):  
Abdelsalam ◽  
Diab
Keyword(s):  
Distributed Generation ◽  
Optimization Problem ◽  
Operating Time ◽  
Pso Algorithm ◽  
Swarm Optimization ◽  
Optimal Coordination ◽  
Micro Grid ◽  
Bus Networks ◽  
Micro Grids ◽  
Better Than

Distributed, generation-based micro-grids are increasingly being used in the build-up of the modern power system. However, the protection of these micro-grids has many challenges. One of the important challenges is the coordination of directional overcurrent (DOC) relays. The optimization of the coordination of DOC relays is considered a nonlinear programming problem with pre-defined constrains. In this paper, the problem of the optimal coordination of DOC relays is solved using a multi-verse optimization (MVO) algorithm which is inspired from cosmology science. The proposed algorithm is tested by applying it to Institute of Electrical and Electronics Engineers (IEEE) 3 bus and IEEE 9 bus networks. The performance of the proposed algorithm is compared with the particle swarm optimization (PSO) algorithm when applied to both networks. All results show that the performance of the MVO algorithm is better than PSO in terms of its reduction of both the overall operating time (OT) of DOC relays and the computational burden of the computer solving the optimization problem.

scholarly journals A Review Paper on Economic Load Dispatch Problem

2021 ◽  
pp. 1-7
Author(s):  
Gourav Tiwari ◽  
Devendra Dohare
Keyword(s):  
Evolutionary Algorithms ◽  
Future Study ◽  
Optimization Problem ◽  
Review Paper ◽  
State Of The Art ◽  
Economic Load Dispatch ◽  
Related Research ◽  
Wind Power Integration ◽  
Electric Car ◽  
Micro Grid

Efficient methods for solving economic load dispatch (ELD) problems have been provided to build effective multi-objective evolutionary algorithms (MOEAs). ELD is a dynamic bi-objective optimization problem that is strictly limited. The MOEA applications to solve the ELD problems have been published in various publications since the 1990s. This paper explores the state of the art of this direction-related research. It addresses subjects such as standard MOEAs, traditional ELD problems, dynamic ELD problems, wind power integration ELD problems, electric car integration ELD problems and micro-grid ELD problems. Furthermore, several potential directions are also provided for future study.

scholarly journals An Efficient Micro Grid Optimization Theory

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 560 ◽  
Author(s):  
Sooyoung Jung ◽  
Yong Tae Yoon ◽  
Jun-Ho Huh
Keyword(s):  
Power Grid ◽  
Optimization Theory ◽  
Weather Conditions ◽  
Operating Conditions ◽  
Small Scale ◽  
Local Power ◽  
System Operator ◽  
Grid Optimization ◽  
Micro Grid ◽  
Micro Grids

A Micro Grid is an aggregate of many small-scale distributed energy resources (DERs); loads and can be operated independently or together with the existing power grid as a local power grid. The operator of such a grid takes charge of the energy supply and consumption of these resources and loads available in the grid. Meanwhile, the system operator of the grid considers the entire Micro Grid system to be a single load or a generator and assigns the responsibility of its internal management to the operator. The power production from a passive production resource is largely influenced by external environmental factors such as weather conditions, rather than operating conditions. Thus, this study conducted simulations for the cases where four kinds of conditional expressions had not been applied at all or one of them had been applied to compare and evaluate the effectiveness of each expression. As a result, the conditional equations were found to be effective when attempting to optimize the Micro Grids efficiently.

scholarly journals Investigation of the impact of Photovoltaic Sizing and Siting Modeling on Micro-grids Energy Management Optimization

2018 ◽  
Vol 171 ◽  
pp. 02004 ◽  
Author(s):  
Marwa Abuelnasr ◽  
Walid El-Khattam ◽  
Ibrahim Helal
Keyword(s):  
Energy Management ◽  
Comprehensive Analysis ◽  
Power Losses ◽  
Optimal Energy Management ◽  
Micro Grid ◽  
Management Optimization ◽  
The Impact ◽  
Micro Grids ◽  
Single Objective

The modeling of micro-grid’s PV units’ and loads’ size and distribution along its network could severely affect the accuracy of power losses calculation and; thus the amount of energy to be imported from the main-grid to balance the load. Also, it will affect the micro-grid’s optimal energy management results. Therefore, a comprehensive analysis is carried out to assess the impact of the PV’s and the load’s sizing and sitting (either lumped or distributed). Four case studies are carried out to illustrate the impact of the modeling on the micro-grid’s losses and the imported energy from the main-grid and their costs. The obtained results are used to implement the proposed energy management two-single objective optimization functions applying Genetic Algorithm. Then, a fifth case study is carried out to optimize the micro-grid energy management process through an optimal chagrining - discharging scheduling of a storage module. The obtained results, recommendations, and evaluations for choosing a proper sizing and siting modeling and the chagrining - discharging scheduling of a storage module under seasonal variations are reported and discussed.

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