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This paper exposes a novel optimization technique named Water Cycle Algorithm (WCA) for solving Economic Dispatch (ED) problem considering practical generator constraints as Prohibited Operating Zones (POZ) and Ramp Rate Limits (RRL) for smooth and non-smooth fuel cost curve of objective function without and with valve point effect, respectively. The proposed technique is applied on three test systems...
This paper presents a proposed cuckoo search algorithm with interactive learning and linear decreasing probability strategy (CSIL) to solve the economic dispatch problem with power balance, prohibited operating zones, valve point effect, and ramp rate. In the new approach, interactive learning strategy helps the nest to exchange good information from each other. Meanwhile, the linear decreasing probability...
This paper proposes new algorithm called Khums Optimization Algorithm (KOA). KOA is a population based algorithm like GA, BBO and PSO, and inspired from the religious Islamic tax objectives and execution. KOA has two process in searching the optimal solution:collection and distribution. In both process new candidate solution will be generated and ranked based on the objective function. furthermore...
With the increasing complexity of power systems in operation and planning, many engineering problems require a robust and efficient optimization solver which can handle non-convexity, discontinuity, and nonlinearity. We propose a new metaheuristic optimization algorithm - the natural aggregation algorithm (NAA) for power system optimization applications. NAA has very strong search capability and robustness...
This paper proposes a group of Evolutionary Algorithms: Black Hole (BH) algorithm, Biogeography Based Optimization (BBO) algorithm and Differential Evolution (DE) algorithms to solve the economic dispatch problem incorporating the wind energy (EDIW) uncertainty. The proposed methods have a simple procedure to find a near optimal solution for the non-smooth and non-convex problems. There are many constraints...
This paper aimed at exploring the performance of Particle Swarm Optimisation with Exponentially Varying Inertia Weight Factor (PSO-EVIWF) for solving Multi-Area Economic Dispatch (MAED) problem with tie line constraints considering valve-point loading in each area. The effectiveness of the proposed algorithm has been verified on 4 interconnected areas with 16 generators standard test system. The paper...
Distributed optimization problems are generally described as the minimization of a global objective function in a system, where each agent can get information only from a neighborhood defined by a network topology. To solve this problem, we present a local strategy based on population dynamics (i.e., the local replicator equation (LRE)), to define functions and tasks assigned to each node in a system...
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