An economic load dispatch and multiple environmental dispatch problem solution with microgrids using interior search algorithm

Trivedi, Indrajit N.; Jangir, Pradeep; Bhoye, Motilal; Jangir, Narottam

doi:10.1007/s00521-016-2795-5

Cited by 97 publications

(54 citation statements)

References 59 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optimization results were reported giving maximum weightage to economic and emission dispatch separately, and thereafter, a compromised solution emphasizing both the objectives with approximately equal weightage was studied where the proposed algorithms outperformed other optimized techniques studied. The authors in [12] used interior search algorithm (ISA) to perform ELD and price penalty-based combined economic emission dispatch (CEED) on an islanded microgrid powered by three fossil-fuelled generators, a PV and a wind system. These results were again outperformed by modified harmony search algorithm (MHSA) implemented by the author in [13] for the same microgrid system.…”

Section: Literature Reviewmentioning

confidence: 99%

Economic emission dispatch on unit commitment-based microgrid system considering wind and load uncertainty using hybrid MGWOSCACSA

Dey

Bhattacharyya

Raj

et al. 2020

Journal of Electrical Systems and Inf Technol

View full text Add to dashboard Cite

Economic emission dispatch (EED) of a three-unit stand-alone microgrid system supported by a wind farm is percolated in this paper. The adverse effects of stochastic and uncertainty nature of wind energy in raising the generation cost of the microgrid system are studied in this article. Unit commitment (UC) of the generating units is taken into account which helps in reducing the generation cost and provides relaxation time to the generation units. Three cases are contemplated for the study. For the first two cases, the generation cost of the test system was minimized without and with the involvement of wind power, respectively. The third case considered the involvement of wind power along with the UC of the conventional generation units. A novel hybrid of recently developed superior optimization algorithms, viz. grey wolf optimizer (GWO), sine–cosine algorithm (SCA) and crow search algorithm (CSA), is implemented to perform EED, and the results are compared with basic GWO and other hybrid algorithms. Results are then analysed to compare and contrast among these cases and justify the reliable and profitable one. Statistical analysis claims the superiority of the proposed hybrid MGWOSCACSA over other hybrids and GWO.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Economic emission dispatch on unit commitment-based microgrid system considering wind and load uncertainty using hybrid MGWOSCACSA

Dey

Bhattacharyya

Raj

et al. 2020

Journal of Electrical Systems and Inf Technol

View full text Add to dashboard Cite

show abstract

“…Energy management of a grid‐connected and renewable energy‐based microgrid has been done in Dey and colleagues 14–16 to optimize both generation cost and worst‐case transaction cost, which arose due to the stochastic nature of renewable energy. DE outperformed GA and PSO in providing the least generation cost in Dey and Sharma, 14 and QOSOS 16 delivered the best and least generation cost providing better results than DE and SOS in Dey et al 15 Authors in Trivedi et al 17 implemented an interior search algorithm (ISA) to perform penalty‐factor based combined economic emission dispatch (CEED) on a three‐unit microgrid system supported by wind and PV power. These results were again outperformed by the author in Elattar 18 where the modified harmony search algorithm (MHSA) was used to perform CEED on the same test system.…”

Section: Introductionmentioning

confidence: 99%

“…This demerit was attended by authors of Dey 19 where they formulated and calculated all the six types of price‐penalty factors for the three units and justified for choosing the min–max penalty factor. Furthermore, a whale optimization algorithm was used to perform CEED, and better quality results were obtained than Trivedi et al 17 …”

Section: Introductionmentioning

confidence: 99%

A novel hybrid algorithm for solving emerging electricity market pricing problem of microgrid

2020

View full text Add to dashboard Cite

“…Human‐inspired metaheuristics are much simpler and more efficient than their counterparts, such as swarm intelligence and evolutionary techniques because they possess less tuning parameters, searching process is not guided by a single fittest solution, and they utilise entire search space information. ISA has been successfully implemented for large scale reservoirs system operation optimisation, economic dispatch, structural design problems, optimal power flow, and optimal energy management for a hybrid generation from wind, solar, fuel cell, and electrolyser connected to a grid . Although ISA has a strong searching process, it still suffers from premature convergence, which is usually prevalent in population‐based methods.…”

Section: Introductionmentioning

confidence: 99%

Parameter extraction of fuel cells using hybrid interior search algorithm

2019

View full text Add to dashboard Cite

Summary Precise modelling of fuel cells is very important for understanding their functioning. In this work, an application of hybrid interior search algorithm (HISA) is proposed to extract the parameters of fuel cells for their electromechanical equations based on nonlinear current‐voltage characteristics. Proposed hybridised algorithm has been developed using evolutionary mutation and crossover operators so as to enhance the modelling capability of interior search algorithm (ISA). To assess the modelling performance of HISA, parameter extraction of two types of fuel cell models, namely, proton exchange membrane fuel cell (PEMFC) and solid oxide fuel cell (SOFC) have been considered. Modelling performance of HISA, assessed using mean squared error between computed and experimental data, is found to be superior to ISA and several other recently reported prominent optimisation methods. Based on the presented intensive simulation investigations, it is concluded that HISA improves the performance of the basic ISA in terms of fitter solutions, robustness, and convergence rate and therefore offers a promising optimisation technique for parameter extraction of fuel cells.

show abstract

An economic load dispatch and multiple environmental dispatch problem solution with microgrids using interior search algorithm

Cited by 97 publications

References 59 publications

Economic emission dispatch on unit commitment-based microgrid system considering wind and load uncertainty using hybrid MGWOSCACSA

Economic emission dispatch on unit commitment-based microgrid system considering wind and load uncertainty using hybrid MGWOSCACSA

A novel hybrid algorithm for solving emerging electricity market pricing problem of microgrid

Parameter extraction of fuel cells using hybrid interior search algorithm

Contact Info

Product

Resources

About