NDLI: Particle Swarm Optimization for Optimal Flow Control in Combined Sewer Networks-A Case Study

Content Provider	IEEE Xplore Digital Library
Author	Lihui Cen Yugeng Xi
Copyright Year	2007
Description	Author affiliation: Shanghai Jiaotong Univ., Shanghai (Lihui Cen)
Abstract	Considering the flow control of large-scale sewer networks to minimize overflows, a control algorithm based on particle swarm optimization with mutation operator (MPSO) is proposed in this paper to achieve optimal operations of reservoir gates. By introducing element models, the mathematical model of whole sewer network can be formulated. The algorithm is applied to solve the optimization problem and generate control actions. To avoid the algorithm being trapped into local optimum, a mutation operator is introduced at the last stage of evolution, which guarantees the optimal solution. The optimal solution obtained by evolution is a sequence of gate opening heights, offering a direction to adjust the gates step by step. The effects under different external inflow scenarios and gate settings are investigated in the test case. The significant improvement in overflow reduction demonstrates its efficiency.
Starting Page	261
Ending Page	266
File Size	507416
Page Count	6
File Format	PDF
ISBN	9781424404407
ISSN	21589860
DOI	10.1109/ISIC.2007.4450895
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-01
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Particle swarm optimization Optimal control Reservoirs Control systems Large-scale systems Genetic mutations Mathematical model Sludge treatment Wastewater treatment Rain
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Aggregation-based model predictive control of urban combined sewer networks

Rolling-horizon optimal control of sewer networks

Diversity-enhanced particle swarm optimizer and its application to optimal flow control of sewer networks

Nonlinear optimal flow control for sewer networks

Constrained optimal power flow by mixed-integer particle swarm optimization

Real-time control of a sewer network using a multi-goal objective function

Particle Swarm Optimization Based on Genetic Operators for Nonlinear Integer Programming

Self-tuning PID controller for activated sludge system

New Constriction Particle Swarm Optimization for Security-Constrained Optimal Power Flow Solution

Particle Swarm Optimization for Optimal Flow Control in Combined Sewer Networks-A Case Study

Similar Documents

Aggregation-based model predictive control of urban combined sewer networks

Rolling-horizon optimal control of sewer networks

Diversity-enhanced particle swarm optimizer and its application to optimal flow control of sewer networks

Nonlinear optimal flow control for sewer networks

Constrained optimal power flow by mixed-integer particle swarm optimization

Real-time control of a sewer network using a multi-goal objective function

Particle Swarm Optimization Based on Genetic Operators for Nonlinear Integer Programming

Self-tuning PID controller for activated sludge system

New Constriction Particle Swarm Optimization for Security-Constrained Optimal Power Flow Solution

Particle Swarm Optimization for Optimal Flow Control in Combined Sewer Networks-A Case Study