Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options

Modiri-Delshad, Mostafa; Kaboli, S. Hr. Aghay; Taslimi-Renani, Ehsan; Rahim, Nasrudin Abd

doi:10.1016/j.energy.2016.09.140

Cited by 184 publications

(80 citation statements)

References 59 publications

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“…This system is a classic case in ELD, which adopts the smooth fuel cost curve [42]. This case study consists of 6 generating units, 46 transmission lines, and 26 buses [43].…”

Section: Casementioning

confidence: 99%

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Zhang

Chao

2020

Electronics

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Economic Load Dispatch (ELD) is a key issue in power systems and its goal is to achieve minimum economic costs by allocating the output of generator units when satisfying the load demands and the operating constraints. As the dimension of the variables and the constraints increase, the traditional mathematical method is gradually not suitable for the ELD. This paper proposes an Improved Bird Swarm Algorithm (IBSA) to solve the ELD problem of a power system. By introducing the nonlinear cognitive and social coefficients, the proportion of individual learning and social learning of birds can be dynamically adjusted. In addition, the Levy flight strategy is added to the group between producers and beggars to increase the randomness. The performance of IBSA is verified via two systems consisting of 6 and 15 units, respectively, that take into account generation limitation, ramp rate limit, and prohibited operating zones. From the simulation results, the IBSA has shown excellent performance and robustness, which can be considered as a reliable solution for the ELD.

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“…This system is a classic case in ELD, which adopts the smooth fuel cost curve [42]. This case study consists of 6 generating units, 46 transmission lines, and 26 buses [43].…”

Section: Casementioning

confidence: 99%

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Zhang

Chao

2020

Electronics

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“…of iterations = 800, Crossover rate (CR) = 0.6, Mutation factor (MF) = 0.5 and the results are presented after 30 trials. Table 6 shows the results obtained from the proposed SDE in solving non-convex PED problem for the 2700 MW power demand and are compared to other optimizers in literature such as Improved Genetic Algorithm with Multiplier Updating (IGA_MU) [28], Modified Shuffled Frog Leaping Algorithm (MSFLA) [40], Particle Swarm Optimization (PSO) [49], conventional DE [49], Real-coded Genetic Algorithm (RGA) [49], New Particle Swarm Optimization with Local Random Search (NPSO-LRS) [50], Back-tracking Search Algorithm (BSA) [51], Cuckoo Search Algorithm with Cauchy distribution (CSA-Cauchy) [52] and BAT [16]. Table 7 shows the simulation results of SDE for the power demand of 2600 MW and are compared with conventional PSO [49], RGA [49], DE [49], MSFLA [40], Global-best Harmony Search (GHS) [40], BAT [16], SaDE [32].…”

Section: System 2: 10 Machine Multiple Fuel Non-convex Ped (With Valvmentioning

confidence: 99%

Multiple Fuel Machines Power Economic Dispatch Using Stud Differential Evolution

et al. 2018

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This paper presents an optimization method for solving the Power Economic Dispatch (PED) problem of thermal generation units with multiple fuels and valve point loadings. The proposed optimizer is a variant of Differential Evolution (DE) characterized as a Stud Differential Evolution (SDE), which has been proposed earlier and implemented on a hydrothermal energy system. In SDE, an operator named Stud Crossover (SC) is introduced in the conventional DE during the trial vector updating process. In SC operator, a best vector gives its optimal information to all other population members through mating. The proposed algorithm's effectiveness to solve Multiple Fuel PED problem, with and without Valve Point Loading Effects (VPLEs), has been validated by testing it on 10 machine multiple fuel standard test systems having 2400 MW, 2500 MW, 2600 MW, and 2700 MW load demands. The results depict the strength of SDE over various other methods in the literature.

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“…The term appears to have been adopted from hydroelectric technology (rotary propeller) [1]. The technical description of a wind turbine is aerofoil-powered generator [2]. As a result of over a millennium of windmill development and modern engineering, today's wind turbines are manufactured in a wide range of vertical and horizontal axis types [3].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Based ALO Implementation for Fast Patrol Craft Tests in Marine Industry Using Wind Energy Conversion System for Multi Objective Power Dispatch

Yuvaraja¹

2017

IJRASET

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Shipbuilding and Repair actions are characterized as marine conveyance equipment sector, though they also cover supply of fixed and floating structures to the offshore industry. The Marine industrial master plan between the year 2006 -2020 identify the following challenges i) global competition ii) rising costs of raw materials iii) excess capacity iv) shortage of qualified personnel v) inadequate technology vi) lack of infrastructure and support facilities. This manuscript deals with the new technology that is required for Fast Patrol Craft Tests. The Fast Patrol Craft Tests is designed using fuzzy based ALO implementation in WECS used in Microgrid uses multi objective genetic algorithm which works on different swept speed using a set of wind turbines that are applied to different dimensions. The Power generation using WECS depends on the wind speed and swept area of the wind turbine. The objective of the simulation is to investigate the entire system operation. The objective dictates the extent of idealization of every model in the system. The MFS problem is formulated as a multi-objective search, aiming at searching for a set of control variable settings that are comparatively 'equally good' for multiple objectives. In order to select a suitable representative solution for the multiple objectives, fuzzy decision making mechanism concept is used. In this manuscript the WECS is modeled and FGALO algorithm is implemented on the controller to attain stability under different swept rotor speeds.

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Backtracking search algorithm for solving economic dispatch problems with valve-point effects and multiple fuel options

Cited by 184 publications

References 59 publications

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Energy Management of a Power System for Economic Load Dispatch Using the Artificial Intelligent Algorithm

Multiple Fuel Machines Power Economic Dispatch Using Stud Differential Evolution

Fuzzy Based ALO Implementation for Fast Patrol Craft Tests in Marine Industry Using Wind Energy Conversion System for Multi Objective Power Dispatch

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