Ms. Jing Jin Profile

Jing Jin

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 7 September 2023 Paper

A modified artificial fish swarm algorithm for unit commitment optimization

Jing Jin, Zhaowei Zhang, Lingling Zhang

Proceedings Volume 12790, 127902Z (2023) https://doi.org/10.1117/12.2689449

KEYWORDS: Mathematical optimization, Simulations, Mathematical modeling, Computation time, Nonlinear optimization, Genetic algorithms, Computer simulations

Read Abstract +

Artificial fish swarm algorithm is a typical intelligent algorithm, which is suitable for solving nonlinear optimization problems, such as unit commitment optimization. However, the algorithm has some defectiveness including premature convergence and easily trapped into local extremes. To make up these disadvantages, this paper proposes a modified artificial fish swarm algorithm, which adopts a variable vision, makes adjustment to the movement strategy and combines the mutation operation of genetic algorithm. A mathematical model of unit commitment with phased optimization is established to solve the problem of long computing time results from large scale units. According to the results of simulations for up to 1000 units, the modified algorithm performs better in convergence and global search, and has certain advantages in solving unit commitment problems, and the phased optimization significantly shortens the calculation time of large-scale unit commitment optimization.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years