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  4. Vol 6, Issue 3, 2023

Optimized Particle Swarm Algorithm for Advanced Bi-Level Dispatch in New Energy Power Systems

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DOI: 10.23977/jeeem.2023.060310 | Downloads: 14 | Views: 418

Author(s)

Renjie Mao 1, Jing Qiu 1

Affiliation(s)

1 The University of Sydney, Camperdown NSW, 2050, Australia

Corresponding Author

Renjie Mao

ABSTRACT

In this paper, we presents a novel bi-level optimal scheduling method for new energy power systems, using an enhanced particle swarm optimization algorithm. Addressing the prevalent issues of unclear goals, sub-optimal outcomes, and poor dispatch efficiency, the approach keenly examines the cyclone power generation structure. It uses an equivalent circuit conversion to accurately model key output characteristics, including cyclone turbine power and photovoltaic traits, while defining a suitable index to calculate system electricity levels. The approach also considers response characteristics of the demand side load curve to define the main objective of the nuanced dispatching process. The proposed algorithm, improved by introducing inertia weight, effectively avoids local deadlocks and enhances global search capabilities. This optimization informs the bi-level scheduling objective by calculating the information entropy value and determining particle proximity. The resulting model promises improved scheduling efficiency, cost reduction, and precise photovoltaic output prediction, as substantiated by experimental results.

KEYWORDS

Improved particle swarm optimization; New energy power system; Output characteristics at the supply side; Demand side load response characteristics; Objective function; Proximity; Bi-level optimal scheduling model

CITE THIS PAPER

Renjie Mao, Jing Qiu, Optimized Particle Swarm Algorithm for Advanced Bi-Level Dispatch in New Energy Power Systems. Journal of Electrotechnology, Electrical Engineering and Management (2023) Vol. 6: 61-72. DOI: http://dx.doi.org/10.23977/jeeem.2023.060310.

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