A Social Spider Algorithm for Solving the Non-convex Economic Load Dispatch Problem

James J.Q. Yu; Victor O.K. Li

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A Social Spider Algorithm for Solving the Non-convex Economic Load Dispatch Problem

James J.Q. Yu, Victor O.K. Li

Neural and Evolutionary Computing · Submitted 27 Jul 2015

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The simulation results show that SSA can solve ELD problems effectively and efficiently.

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arXiv ID1507.07301 (version 1)

Pith ID4II5BEE6, Pith's permanent record of this paper and its review

CitationJames J.Q. Yu, Victor O.K. Li. "A Social Spider Algorithm for Solving the Non-convex Economic Load Dispatch Problem." arXiv:1507.07301 (2015). https://pith.science/paper/4II5BEE6

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What the abstract itself states, as probabilities: claims first 0.08 · states limitation 0.09 · human participants 0.02 · controlled comparison 0.56 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.97 · mentions code or data availability 0.02.

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Economic Load Dispatch (ELD) is one of the essential components in power system control and operation. Although conventional ELD formulation can be solved using mathematical programming techniques, modern power system introduces new models of the power units which are non-convex, non-differentiable, and sometimes non-continuous. In order to solve such non-convex ELD problems, in this paper we propose a new approach based on the Social Spider Algorithm (SSA). The classical SSA is modified and enhanced to adapt to the unique characteristics of ELD problems, e.g., valve-point effects, multi-fuel operations, prohibited operating zones, and line losses. To demonstrate the superiority of our proposed approach, five widely-adopted test systems are employed and the simulation results are compared with the state-of-the-art algorithms. In addition, the parameter sensitivity is illustrated by a series of simulations. The simulation results show that SSA can solve ELD problems effectively and efficiently.

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What the classifier reports for each sentence. The number is the probability it gave the label.
#	sentence	role	the authors' own work	states the main conclusion	strength
s0	Economic Load Dispatch (ELD) is one of the essential components in power system control and operation.	background 1.00	0.04	0.01	asserted 1.00
s1	Although conventional ELD formulation can be solved using mathematical programming techniques, modern power system introduces new models of the power units which are non-convex, non-differentiable, and sometimes non-continuous.	background 0.61	0.06	0.02	asserted 0.99
s2	In order to solve such non-convex ELD problems, in this paper we propose a new approach based on the Social Spider Algorithm (SSA).	contribution 0.98	0.87	0.08	asserted 0.98
s3	The classical SSA is modified and enhanced to adapt to the unique characteristics of ELD problems, e.g., valve-point effects, multi-fuel operations, prohibited operating zones, and line losses.	method 0.70	0.91	0.04	asserted 1.00
s4	To demonstrate the superiority of our proposed approach, five widely-adopted test systems are employed and the simulation results are compared with the state-of-the-art algorithms.	method 0.94	0.94	0.04	asserted 0.96
s5	In addition, the parameter sensitivity is illustrated by a series of simulations.	method 0.73	0.93	0.03	asserted 0.77
s6	The simulation results show that SSA can solve ELD problems effectively and efficiently.	result 0.65	0.95	0.93	asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from simulation or computation 1.00.

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Original abstract

Economic Load Dispatch (ELD) is one of the essential components in power system control and operation. Although conventional ELD formulation can be solved using mathematical programming techniques, modern power system introduces new models of the power units which are non-convex, non-differentiable, and sometimes non-continuous. In order to solve such non-convex ELD problems, in this paper we propose a new approach based on the Social Spider Algorithm (SSA). The classical SSA is modified and enhanced to adapt to the unique characteristics of ELD problems, e.g., valve-point effects, multi-fuel operations, prohibited operating zones, and line losses. To demonstrate the superiority of our proposed approach, five widely-adopted test systems are employed and the simulation results are compared with the state-of-the-art algorithms. In addition, the parameter sensitivity is illustrated by a series of simulations. The simulation results show that SSA can solve ELD problems effectively and efficiently.

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