EFFICIENT EVOLUTIONARY STRATEGY OPTIMISATION PROCEDURE TO SOLVE THE NONCONVEX ECONOMIC DISPATCH PROBLEM WITH GENERATOR CONSTRAINTS

By A. Pereira-Neto, C. Unsihuay, O. Saavedra. 2005

248 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/d1fc0c92e9321be82cab1f249b87ffde9e5efd4b

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In Electrical and Electronic Engineering

1. L. F. I. Kwang Y. Lee
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3. Xin-She Yang
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5. Nima Amjady
6. Hadi Nasiri-Rad
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Citations in the corpus

• Nonconvex Economic Dispatch With AC Constraints by a New Real Coded Genetic Algorithm (2009, methodology): “Several methods such as dynamic programming (DP) [6], evolutionary programming (EP) [7], improved fast EP (IFEP) [8], a fast EP using the weighted mean of Gaussian and Cauchy mutations, called MFEP [8], tabu search (TS) [9], genetic algorithm (GA) [4], [10], hybrid EP combined with sequential quadra”
• A New Particle Swarm Optimization Solution to Nonconvex Economic Dispatch Problems (2007, methodology): “The comparison of generation cost obtained by IFEP [14], MPSO [15], ESO [16], and the three PSO strategies is given in Table IV.”
• Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect (2012, background): “In ractice, operating conditions of many generating units require he cost function to be modeled as a piecewise quadratic function 4].”
• Economic Load Dispatch—A Comparative Study on Heuristic Optimization Techniques With an Improved Coordinated Aggregation-Based PSO (2009, methodology): “17) Evolutionary strategy optimization (ESO): The ESO is based on classical evolutionary strategy -ES paradigm, considering Gaussian mutation operator [18], [19].”
• A mixed integer quadratic programming formulation for the economic dispatch of generators with prohibited operating zones (2007, unknown): “Email: l.papageorgiou@ucl.ac.uk; Phone: +44 (0) 20 7679 2563; Fax: +44 (0) 20 7383 2348.”
• Self-Organizing Hierarchical Particle Swarm Optimization for Nonconvex Economic Dispatch (2008, background): “Results of 40-unit system are compared with previously published results, i.e., EP [3], ESO [10], MPSO [15], NPSO [18] and NPSO-LRS [18] in Table XIII.”
• A Bi-Level Branch and Bound Method for Economic Dispatch With Disjoint Prohibited Zones Considering Network Losses (2015, background): “Furthermore, a feasible and efficient evolutionary programming approach (EPA) was described in [9] and [10], which obtained a better global solution.”