A new hybrid approach for nonconvex economic dispatch problem with valve-point effect

Yaşar, Celal; Özyön, Serdar

doi:10.1016/j.energy.2011.08.041

Cited by 74 publications

(29 citation statements)

References 22 publications

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“…The system data is as summarized in Tables 3 and 4 [29]. Table 5 shows the optimal results of the case study and the results obtained via BSA compared with those via GA [30], GA-APO (genetic algorithmactive power optimization) [30], PSO [29], and MSG-HS (modified subgradient-harmony search) [29]. BSA reached the total generation cost of 925.4139 ($/h), which is less than those achieved by the other methods.…”

Section: Case 1: 3-unit System With Non-convex Cost Functionmentioning

confidence: 99%

Solving non-convex economic dispatch problem via backtracking search algorithm

Modiri-Delshad

Rahim

2014

Energy

103

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Section: Case 1: 3-unit System With Non-convex Cost Functionmentioning

confidence: 99%

Solving non-convex economic dispatch problem via backtracking search algorithm

Modiri-Delshad

Rahim

2014

Energy

103

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“…contains a hybrid of the metaheuristic cross-entropy and the gradient based sequential quadratic programming (SQP) [20], has a hybrid of the metaheuristic harmony search and the modified subgradient methods, and [21] has the metaheuristic ant swarm optimization hybridized with SQP.…”

Section: Introductionmentioning

confidence: 99%

Economic dispatch using hybrid grey wolf optimizer

Jayabarathi

Raghunathan

Adarsh

et al. 2016

Energy

316

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“…In this approach, the constraints in (2) to (5) are combined with the objective function to form by penalized the infeasible solution [9,11]. This required an appropriate penalty factor in order to ensure that the solution satisfy all the given constraints sufficiently.…”

Section: Proposed Constraint Handling For Non-smooth Eld Problemmentioning

confidence: 99%

An Efficient Constraint Handling Approach for Economic Load Dispatch Problem with Non-Smooth Cost Function

Abdullah

Bakar

Mokhlis

et al. 2015

AMM

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Abstract. Increasing of the power demand and fuel cost in power generation required an advanced algorithm for scheduling the output of generating unit in economical manner. The economic load dispatch problem (ELD) problem consists several operational and system constraints such as prohibited operating zones (POZs) and ramp-rate limit need to handle wisely by optimization algorithm. Previously, the penalty function is widely used to satisfy the power balance and other constraints by augmenting the objective function with the penalized function. However, it required a proper penalty factor tuning and depends on the size of problem. This paper proposes an efficient constraint handling based on the repairing or adjusting infeasible solution into feasible solution in every iterative process. The simulation results show that the proposed constraints handling approach is better than penalty function approach in term of convergence characteristic and robustness.

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A new hybrid approach for nonconvex economic dispatch problem with valve-point effect

Cited by 74 publications

References 22 publications

Solving non-convex economic dispatch problem via backtracking search algorithm

Solving non-convex economic dispatch problem via backtracking search algorithm

Economic dispatch using hybrid grey wolf optimizer

An Efficient Constraint Handling Approach for Economic Load Dispatch Problem with Non-Smooth Cost Function

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