Bacterial foraging optimisation: Nelder–Mead hybrid algorithm for economic load dispatch

Panigrahi, B. K.; Pandi, V. Ravikumar

doi:10.1049/iet-gtd:20070422

Cited by 262 publications

(114 citation statements)

References 21 publications

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“…Due to some physical restrictions, the undivided feasible zone of some TUs is separated into several disjoint sub-feasible zones so that only one is active during each time interval and the TU could continuously change its operation set point within the selected sub-feasible zone. Constraint (13) represents the mentioned sub-feasible zones for each unit. For instance, the feasible solution plane of three TUs with two DPZs is highlighted with oblique black lines in Fig.…”

Section: Problem Formulationmentioning

confidence: 99%

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Practical multi‐area bi‐objective environmental economic dispatch equipped with a hybrid gradient search method and improved Jaya algorithm

Azizipanah‐Abarghooee

Dehghanian

Terzija

2016

IET Generation, Transmission & Distribution

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Abstract:Generation dispatch decision making integrated into a centralized wholesale electricity market has been always a challenging concern for transmission system operators and has progressively received significant attention in recent years. The reason lies mainly in the complex and highly-interconnected structure of the grid, escalated demand, and the crisis of the amount and price of energy. For the dispatch solutions to be highly reliable with an acceptable level of accuracy, several factors of notable importance need to be well taken into account, among which one can mention the valve-point effect, multiple fuel options and disjoint prohibited zones, up/down ramp rate requirements of generating units, as well as the spinning reserve constraints which, in turn, intensify the non-smoothness, nonconvexity, non-linearity, and dynamic restriction of such combinatorial hard problems. This paper proposes a new optimization toolset for the bi-objective multi-area economic dispatch problem to determine the transmission interface power flow and power output of generating units while satisfying system demand and security constraints at each area. The proposed architecture builds upon an improved gradient-based Jaya algorithm to generate a feasible set of Pareto optimal solutions corresponding to the operation cost and fuel combustion emission calculated through a new robust bi-objective gradient based method. The projected algorithm is proved to be capable of finding the robust global or near-global Pareto solutions fast and accurate.Keywords: Bi-objective gradient-based technique; economic dispatch; environmental; heuristic; improved Jaya algorithm, optimization. E-mail:rasoul. obj, tObjective function and time step indices, respectively. Disjoint prohibited zone (DPZ) index. B. Constants, , , TiePower flow from area k to k' at time t.

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Section: Problem Formulationmentioning

confidence: 99%

“…Bacterial Foraging (BF) [13] is among such suggestions to solve the MED problem. In addition, multi-objective Particle Swarm Optimization (MOPSO) [13], strength Pareto evolutionary algorithm [14] and Non-Dominated Sorting Genetic Algorithm (NSGA) [15] are proposed to apply to the BED optimization problems.…”

Section: Introductionmentioning

confidence: 99%

Practical multi‐area bi‐objective environmental economic dispatch equipped with a hybrid gradient search method and improved Jaya algorithm

Azizipanah‐Abarghooee

Dehghanian

Terzija

2016

IET Generation, Transmission & Distribution

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“…It is found that, the hybrid system GA-BFA performed very well. In [22], a novel stochastic optimization approach to solve constrained economic load dispatch problem using hybrid bacterial foraging technique and Nelder-Mead algorithm is presented. The proposed approach has produced results comparable or better than those generated by other evolutionary algorithms and the solutions obtained have superior solution quality and good convergence characteristics.…”

Section: Introductionmentioning

confidence: 99%

DESIGN OPTIMIZATION OF A BOW-TIE ANTENNA FOR 2.45 GHz RFID READERS USING A HYBRID BSO-NM ALGORITHM

Mahmoud¹

2010

PIER

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Abstract-Recently the Bacterial foraging optimization algorithm (BFA) has attracted a lot of attention as a high-performance optimizer. This paper presents a hybrid approach involving Bacterial Swarm Optimization (BSO) and Nelder-Mead (NM) algorithm. The proposed algorithm is used to design a bow-tie antenna for 2.45 GHz Radio Frequency Identification (RFID) readers. The antenna is analyzed completely using Method of Moments (MoM), then the MoM code is coupled with the BSO-NM algorithm to optimize the antenna. The simulated antenna and the optimization algorithm programs were implemented using MATLAB version 7.4. To verify the validity of numerical simulations, the results are compared with those obtained using Feko Software Suite 5.3.

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“…Variable Scaling Hybrid Differential Evolution (VSHDE) has been developed which overcomes the demerit of the fixed and random scaling factor in differential evolution and the effectiveness has been tested for solving medium and large scale economic dispatch problems [9]. The hybrid search techniques have been applied to obtain the economic schedule of generations [10]- [11]. An approach based on a new coding scheme for solving this type of problems through Simulated Annealing like Particle Swarm Optimization (SA-PSO) has been suggested [10].…”

Section: Introductionmentioning

confidence: 99%

“…An approach based on a new coding scheme for solving this type of problems through Simulated Annealing like Particle Swarm Optimization (SA-PSO) has been suggested [10]. Bacterial Foraging algorithm, a new optimization technique has been developed by the inspiration of foraging strategy of E.coli bacteria present in human intestine and it is combined with Nelder-Mead method had also been applied to solve economic dispatch problems [11]. The heuristic search methods provide the optimal solution because the efficiency of their search process which depend the various control parameters.…”

Section: Introductionmentioning

confidence: 99%

A Simplified Approach for Economic Dispatch with Piecewise Quadratic Cost Functions

Subramanian¹,

Ganesan²

2010

IJCEE

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Bacterial foraging optimisation: Nelder–Mead hybrid algorithm for economic load dispatch

Cited by 262 publications

References 21 publications

Practical multi‐area bi‐objective environmental economic dispatch equipped with a hybrid gradient search method and improved Jaya algorithm

Practical multi‐area bi‐objective environmental economic dispatch equipped with a hybrid gradient search method and improved Jaya algorithm

DESIGN OPTIMIZATION OF A BOW-TIE ANTENNA FOR 2.45 GHz RFID READERS USING A HYBRID BSO-NM ALGORITHM

A Simplified Approach for Economic Dispatch with Piecewise Quadratic Cost Functions

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