The Interaction of Economic Dispatch Fuel Pricing and the Optimal Procurement of Fuel

Gibson, C.A.; Stocks, William M.

doi:10.1109/tpas.1983.317917

Cited by 9 publications

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“…Each DER unit's power dispatch is limited to the lower and maximum limitations. The inequality constraint is defined as (5):…”

Section: Problem Formulationmentioning

confidence: 99%

“…In the microgrid, such as the classical optimization techniques which are developed based on the numerous ISSN: 2302-9285  traditional programming methods like El-Keib and Ding [4] proposed two dispatch strategies to obtain the optimal solution for the ED problem subject to environmental constraints using the linear programming. Gibson and Stocks [5] presented lambda iteration method that deals with the interaction of economic loading and the power generation and the optimal fuel procurement on an electric power system. According to Takriti and Krasenbrink [6], a non-convex mathematical approach has been presented for the economic power-dispatch problem with fuel consumption.…”

Section: Introductionmentioning

confidence: 99%

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A Chameleon algorithm for solving economic dispatch problem in microgrid system

et al. 2023

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The economic power dispatch (ED) is considered a critical optimization issue in the power system and microgrid. There are several objectives through the economic load dispatch issues such as reducing the operating cost, total emission, or start-up operations. This paper presents a Chameleon swarm algorithm (CSA) for determining the optimal ED of distributed energy resources (DER) in the microgrid. The proposed technique numerically mimics and executes chameleons' behavioral processes to their quest for food, such as their action for rotating their eyes to identify and grab prey using the speed of their sticky tongues. In this study, the CSA has been applied to obtain the optimal power dispatch from DER using the photovoltaic (PV) plants, combined heat power (CHP) systems, and traditional diesel generators. The obtained results from the simulation are compared with the conventional metaheuristic algorithms which have been used in previous studies, such as particle swarm optimization (PSO), genetic algorithm (GA), and artificial bee colony (ABC). Experimentally, the proposed algorithm for solving the ED problem determined the best value of the power dispatch and high performance compared to other metaheuristics methods.

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“…Each DER unit's power dispatch is limited to the lower and maximum limitations. The inequality constraint is defined as (5):…”

Section: Problem Formulationmentioning

confidence: 99%