An efficient hybrid structure to solve economic-environmental energy scheduling integrated with demand side management programs

Dorahaki, Sobhan; Rashidinejad, Masoud; Mollahassani-pour, Mojgan; Bakhshai, Alireza

doi:10.1007/s00202-019-00866-x

Cited by 22 publications

(5 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A smart power distribution system consists of different units such as a smart protection unit [5], a smart energy management unit [6], a demand response aggregator unit [7] and a smart outage management unit [8]. The smart outage management unit is one of the important units in the smart power distribution system.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Outage Management Model Considering Emergency Demand Response Programs for a Smart Distribution System

2020

Self Cite

View full text Add to dashboard Cite

In this paper, a novel smart outage management system considering Emergency Demand Response Programs (EDRPs) and Distributed Generations (DGs) denoted as SOMSDGsEDRPs is proposed. The EDRPs are provided to decrease the cost of load shading in a time of emergency. The objective function of the problem is proposed to minimize the load shading cost, the DG dispatch cost, the demand response cost and the repair dispatch time for crews. The SOMSDGsDERPs solves an optimization problem that is formulated as Mixed Integer Linear Programming (MILP) taking into account the grid topology constraints, EDRP constraints, DG constraints and crew constraints. The MILP formulation was demonstrated in the GAMS software and solved with the CPLEX solver. The proposed method was tested on the IEEE 34 bus test system as well as an actual Iranian 66 bus power distribution feeder. The results show that the EDRPs and DGs can be effective in decreasing the outage cost and increasing the served load of the distribution power system in a crisis time.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Optimal Outage Management Model Considering Emergency Demand Response Programs for a Smart Distribution System

2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…Certain hybrid methods are, hybrid LR-EP (Attaviriyanupap et al, 2003) PSO with modified dynamic programming (Shukla et al, 2015), LR-PSO (Yu et al, 2014), multiple hybrid lambda iterations and simulated annealing algorithm (MHLSA) (Takeang et al, 2019), tabu search, and simulated annealing (TSSA) (Purushothama et al, 2003) hybrid many objective cuckoo search (HMOCS) (Cui et al, 2019), imperialist competitive algorithm and particle swarm optimization (ICAPSO) (Chen et al, 2020). Aggregation of UC with demand-side management is pivotal in the intricate power system for equating rising demand, modification of load curve, minimization of cost, and emission summarized (Dorahaki et al, 2019). The combination of a Multi-objective dragonfly algorithm and analytical hierarchy process implemented on the management of demand in smart homes in the residential area of smart grid (Alilou et al, 2021) For social welfare enhancement, a two-stage model was proposed (Tumuluru e al., 2018) on DR with the day ahead UC.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Evolutionary Algorithms on Day Ahead Demand Side Management With Unit Commitment

Rajesh

Visali

2023

Preprint

View full text Add to dashboard Cite

From modern prospects, demand-side management is a pivotal source for consumers and for energy providers in altering the load profile. Demand-side management results in a reduction of the new establishment of generators over energy-side providers. In this paper, the load profile is reshaped on residential, commercial, and industrial loads using the modified genetic algorithm, and the same strategy is applied to unit commitment (UC). The optimization problem related to UC is solved using a hybrid method for achieving optimal solution between two contradictory objectives by maintaining the system constraints. The hybrid method is the amalgamation of the non-dominant sorting genetic algorithm –ii (NSGA-II) and the population variant differential evolution (PVDE) algorithm. The potential of the proposed hybrid method is tested on IEEE 39 bus system with 10 thermal units. The outcome of the proposed method emphasizes a better reduction in cost and emission values of UC in comparison with the existing literature methods.

show abstract

“…In Ref. [34] a combined generation program with energy efficiency and load management programs, to minimize the cost of operation and emission of greenhouse gases is proposed. In the above paper by providing an intelligent structure, energy efficiency programs and demand response programs in an IEEE 10‐bus system, have been shown to be more effective in reducing greenhouse gas emissions than load‐side management programs.…”

Section: Introductionmentioning

confidence: 99%

Increasing the Accessibility of Rural Microgrid's Load to Resources in Multi‐Microgrid System with Considering Minimum Operation Cost

Babanezhad

Ghafouri

2022

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

In rural areas due to the low capacity of resources on the one hand and the increase in demand, on the other hand, the use of load management will be a little different. In this paper, load energy management programs considering three modes are used to minimize the cost of operating a rural multi-microgrid system and increase the accessibility of its controllable load. Consumers in this paper are divided into two sets of controllable and uncontrollable loads, and microgrids will respond economically to the energy management system due to the capacity of renewable resources and distributed generation. Consumption coordination in the form of an optimization program with a mixed-integer nonlinear programming mathematical model is designed to reduce the overall operating costs in the microgrid. For microgrid's lowest cost, three different scenarios including only the use of uncontrollable loads, simultaneous use of uncontrollable and controllable loads, and the use of adjustable generation sources with considering generation ceiling of distributed generation have been used. Simulations have been performed in different scenarios in a modified IEEE 33 bus system in the GAMS environment with different solvers to achieve the best response, which shows a significant reduction by LINDO and DECOPT solver.

show abstract

An efficient hybrid structure to solve economic-environmental energy scheduling integrated with demand side management programs

Cited by 22 publications

References 26 publications

Optimal Outage Management Model Considering Emergency Demand Response Programs for a Smart Distribution System

Optimal Outage Management Model Considering Emergency Demand Response Programs for a Smart Distribution System

Implementation of Evolutionary Algorithms on Day Ahead Demand Side Management With Unit Commitment

Increasing the Accessibility of Rural Microgrid's Load to Resources in Multi‐Microgrid System with Considering Minimum Operation Cost

Contact Info

Product

Resources

About