A novel Energy Management System using Ant Colony Optimization for micro-grids

Esmat, Ayman; Magdy, Amr; El-Khattam, Walid; El-Bakly, Ahmed

doi:10.1109/epecs.2013.6713023

Cited by 31 publications

(28 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…From Table IV, the generation cost obtained without pumped-hydro unit is compared with that of incorporating pumped-hydro unit using PSO. The total generation cost using proposed algorithm is found to be less than that obtained without pumped-hydro unit using Ant Colony Optimization [11]. From FigA it can be observed that the operation for the Pumped-hydro unit starts from vacant reservoir and then periodic pumping and generation occur.…”

Section: Case Study and Simula Tion Resultsmentioning

confidence: 72%

Economic generation scheduling in microgrid with pumped-hydro unit using Particle Swarm Optimization

Mukherjee

Chakraborty

Goswami

2015

2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT)

View full text Add to dashboard Cite

Microgrids are now gammg more and more importance in the development and operation of power system. The optimal operating strategy of a micro grid having conventional as well as renewables with storage facilities has been investigated in this paper. Here the proposition of economic dispatch is investigated with the introduction of pumped-hydro storage unit. The cost optimization process involving the pumped-hydro storage units has been done with Particle Swarm Optimization. The cost function of the microgrid has been constructed for the whole day. The paper introduces a novel algorithm which optimizes the cost function with proper power balance involving solar, wind, pumped-hydro storage and conventional generators for the load curve taken for a day. The results obtained are found to be giving lesser cost of generation than those obtained without pumped-hydro storage units for micro grid operations. The outcomes are assessed and analyzed with justifications.

show abstract

Section: Case Study and Simula Tion Resultsmentioning

confidence: 72%

Economic generation scheduling in microgrid with pumped-hydro unit using Particle Swarm Optimization

Mukherjee

Chakraborty

Goswami

2015

2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT)

View full text Add to dashboard Cite

show abstract

“…The FEPs of electrical and thermal controllable loads were acquired and are depicted in Figures 11 and 12, respectively. The base energy price of electrical controllable load was considered equal to 0.05 $/KWh for all given intervals, whereas that of the thermal controllable load was considered equal to 0.07 for intervals 1-7 and 23-24, 0.06 for intervals 8-18, and 0.05 for intervals [19][20][21][22]. It can be seen that the final energy prices of electrical and thermal controllable loads are higher than their base prices.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…For instance, [15] used an optimization model based on the mixed integer linear programming (MILP) in grid-connected mode of a thermally-networked microgrid (TNMG) whereas multi-objective optimization problem without taking into account sold and purchased energy has been considered for an economic dispatch (ED) problem [17]. The particle swarm optimization (PSO) method [18], Tabu search (TS), genetic algorithm (GA) [19], ant colony [20], game theory, new recurrent neural network [21], mesh adaptive direct search algorithm [22], and optimally-condition-decomposition (OCD) technique are commonly used methods in solving optimal dispatching problems. The optimal economic short-term management problem along with elastic and inelastic loads is studied in an MG [23].…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Optimal Power Dispatch in Multi-Carrier Networked Microgrids under Uncertainties

2017

View full text Add to dashboard Cite

Abstract:A microgrid (MG) is a small-scale version of the power system which makes possible the integration of renewable resources as well as achieving maximum demand side management (DSM) utilization. The future power system will be faced with severe uncertainties owing to penetration of renewable resources. Consequently, the uncertainty assessment of system performance is essential. The conventional energy scheduling in an MG may not be suitable for active distribution networks. Hence, this study focuses on the probabilistic analysis of optimal power dispatch considering economic aspects in a multi-carrier networked microgrid. The aim is to study the impact of uncertain behavior of loads, renewable resources, and electricity market on the optimal management of a multi-carrier networked microgrid. Furthermore, a novel time-based demand side management is proposed in order to reshape the load curve, as well as preventing the excessive use of energy in peak hours. The optimization model is formulated as a mixed integer nonlinear program (MINLP) and is solved using MATLAB and GAMS software. Results show that the energy sharing capability between MCMGs and MCMGs and the main grids as well as utilization of demand side management can decrease operating costs for smart distribution grids.

show abstract

“…ACO routines this spectacle and smears it to unravel factual life optimization complications [17]. ACO is a celebrated intellectual algorithm somewhere intricate collective comportment materializes from the performance for ants [12].…”

Section: Flowchart 6: Block Diagram For Acomentioning

confidence: 99%

Comparative Study of Energy Saving Grid-based heuristic approaches in dispersed computational environment

Kaur¹

2017

ijecs

View full text Add to dashboard Cite

Completing for huge parallel jobs in dispersed computational environments requires co-distribution for significant resources mutually shared with their possessors. The scheduling plus resource selection complications in Grid remain NPhard because for their combinatorial environment. Various algorithms, depending on heuristic solutions, or their groupings have been implemented for similar jobs with dependences in disseminated environments. Task schedulers target to improve the whole performance for a segment, e.g., decreasing the average work response time and increasing the number for tasks accomplished in certain point for time. A 'Network' stands an arrangement aimed at reserve allocation. This stands cast off in huge scale files dispensation, numerous for solicitations presence logical ones. Grid forecast is an important constituent Network structure.

show abstract

A novel Energy Management System using Ant Colony Optimization for micro-grids

Cited by 31 publications

References 10 publications

Economic generation scheduling in microgrid with pumped-hydro unit using Particle Swarm Optimization

Economic generation scheduling in microgrid with pumped-hydro unit using Particle Swarm Optimization

Probabilistic Optimal Power Dispatch in Multi-Carrier Networked Microgrids under Uncertainties

Comparative Study of Energy Saving Grid-based heuristic approaches in dispersed computational environment

Contact Info

Product

Resources

About