Lightning flash algorithm for solving non‐convex combined emission economic dispatch with generator constraints

Kheshti, Mostafa; Kang, Xiaoning; Li, Jiangtao; Regulski, P.; Terzija, Vladimir

doi:10.1049/iet-gtd.2017.0257

Cited by 56 publications

(30 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The ant lion optimization algorithm (ALOA) [31] was also a new method with few applications, and the method in the study has not shown its potential search ability persuasively due to simple test employment. In addition, many new methods have been developed for solving the problem such as modified symbiotic organisms search algorithm (MSOSA) [32], mine blast algorithm (MBA) [33], clonal algorithm (CA) [34], mathematical programming algorithm (MPA) [35], improved quantuminspired evolutionary algorithm (IQIEA) [36], cuckoo optimization algorithm (COA) [37], improved colliding bodies optimization algorithm (ICBOA) [38], flower pollination algorithm (FPA) [39], natural updated harmony search (NUHS) [40], lightning flash algorithm (LFA) [41,42], moth swarm algorithm (MSA) [43], and orthogonal learning competitive swarm optimization algorithm (OLCSOA) [44]. [45].…”

Section: Introductionmentioning

confidence: 99%

Improved Firefly Algorithm: A Novel Method for Optimal Operation of Thermal Generating Units

2018

View full text Add to dashboard Cite

This paper presents a novel improved firefly algorithm (IFA) to deal the problem of the optimal operation of thermal generating units (OOTGU) with the purpose of reducing the total electricity generation fuel cost. The proposed IFA is developed based on combining three improvements. The first is to be based on the radius between two solutions, the second is updated step size for each considered solution based on different new equations, and the third is to slightly modify a formula producing new solutions by using normally distributed random numbers and canceling uniform random numbers of conventional firefly algorithm (FA). The effect of each proposed improvement on IFA is investigated by executing five benchmark functions and two different systems. The performance of IFA is investigated on six other study cases consisting of different types of objective function and complex level of constraints. The objective function considers single fuel with quadratic form and nonconvex form, and multifuels with the sum of several quadratic and nonconvex functions while a set of constraints taken into account are power loss, prohibited zone, ramp rate limit, spinning reserve, and all constraints in transmission power networks. The obtained results indicate the proposed improvements in terms of high optimal solution quality, stabilization of search ability, and fast convergence compared with FA. In addition, the comparisons with other methods also lead to a conclusion that the proposed method is a very promising optimization tool for systems with quadratic fuel cost function and with complicated constraints.

show abstract

Section: Introductionmentioning

confidence: 99%

Improved Firefly Algorithm: A Novel Method for Optimal Operation of Thermal Generating Units

2018

View full text Add to dashboard Cite

show abstract

“…As the problem becomes multi-objective function, the non-conventional method is introduced to handle the difficult optimization problem. Various non-conventional method such as, FPA [1], Modified NSGA-II [23], PSO [24], LFA [25],WOA [26],CSA [27] and SOA [28] have been successfully utilized for these problem. Even though, the performance is great in solving non-linear and non-convex problem, but some of these meta-heuristic algorithms are suffered from specific parameter selection thus resulting a long computational time.…”

Section: Optimization Methods Of Ceedmentioning

confidence: 99%

A review of combined economic emission dispatch for optimal power dispatch with renewable energy

Aswan

Abdullah

Bakar

2019

IJEECS

View full text Add to dashboard Cite

This paper provides comprehensive review of recent formulation and solution of combined economic emission dispatch problem considering renewable energy. Generally, power dispatch plays an important role in power generation system that mainly depends on the fossil fuels. Rapid depletion of these sources cause a limitation and increase the fuel price. At the same time, the poisonous gases emit by the thermal generator causes a long term environmental pollution. An extensive researches have been conducted for last few decades by considering Renewable Energy (RE) in power generation system as an alternative source. Therefore, Combined Economic Emission Dispatch (CEED) of thermal and renewable energy resources currently formulated in power dispatch problem. The optimization methods that commonly used to solve the CEED problem are categorized as traditional method, non-conventional method and hybrid method. It can be concluded that non-conventional and hybrid method have great and superior solution for solving multiobjective economic emission dispatch problem. The recent research related to CEED with RE are summarized in terms of methods, test cases, conditions, types of RE and constraints. Thus, it can be useful references for the research in this area.

show abstract

“…A normalized mechanism function need to be evaluated for every solution i-th using (13), [28]. (13) The highest value of μ is chosen as the best compromise solution.…”

Section: Best Compromise Solution: Fuzzy-based Mechanismmentioning

confidence: 99%

“…It can be divided into two categories which are traditional and metaheuristic methods. The Metaheuristic methods are recently used for many applications since it capable to find global optimal solution for economic-emission load dispatch (EELD) problems [1,[9][10][11][12][13][14][15][16][17][18][19]. In this project, Firefly Algorithm (FA) is applied to investigate the optimal cost and emission, robustness and convergence characteristics of EELD problem.…”

Section: Introductionmentioning

confidence: 99%

Combined economic-emission load dispatch solution using firefly algorithm and fuzzy approach

Abdullah

Aswan

et al. 2019

IJEECS

View full text Add to dashboard Cite

This paper proposes Firefly Algorithm (FA) with fuzzy approach for solving combined economic-emission load dispatch (CEELD) problem in power generation. The main objective of the CEELD problem is to determine the optimal cost and emission level of power generation and fulfill the load demand and operational constraints. The CEELD problem used weighted sum method to combine two objective functions (cost and emission) into single objective. Then, the Fuzzy-based mechanism approach is integrated in FA to find the best compromise solution for both conflicting cost and emission level. The FA has been tested on IEEE 118-bus 14-unit test system for minimization both cost of power generation and emission level. The performance of FA for solving CEELD problem has been investigated in terms of optimal solution, convergence characteristics and Pareto front solution. From the comparison of the CEELD solutions, it found that FA can provide significant cost and emission reduction compared to other methods. Thus, it can be used as alternative approach for solving any optimization problems.

show abstract

Lightning flash algorithm for solving non‐convex combined emission economic dispatch with generator constraints

Cited by 56 publications

References 52 publications

Improved Firefly Algorithm: A Novel Method for Optimal Operation of Thermal Generating Units

Improved Firefly Algorithm: A Novel Method for Optimal Operation of Thermal Generating Units

A review of combined economic emission dispatch for optimal power dispatch with renewable energy

Combined economic-emission load dispatch solution using firefly algorithm and fuzzy approach

Contact Info

Product

Resources

About