Abstract
This paper addresses the problem of actuators’ allocation within networked structured system, namely allocation of disinfectant booster stations within Drinking Water Distribution System (DWDS), under receding horizon optimised control – Model Predictive Control (MPC) to be exact. The allocation task is
kept within dynamic multiobjective optimisation framework. The MPC is defined as a single objective predictive operator. Two numerical examples illustrating the results of allocation procedure are given. The algorithm utilises multiple water quality and quantity scenarios to justify the allocation under normal and disturbed water quality operational conditions.
kept within dynamic multiobjective optimisation framework. The MPC is defined as a single objective predictive operator. Two numerical examples illustrating the results of allocation procedure are given. The algorithm utilises multiple water quality and quantity scenarios to justify the allocation under normal and disturbed water quality operational conditions.
Original language | English |
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Pages (from-to) | 87-97 |
Number of pages | 11 |
Journal | Journal of Process Control |
Volume | 32 |
DOIs | |
Publication status | Published - 3 May 2015 |
Keywords
- drinking water distribution systems, booster station allocation, multiobjective optimisation, model predictive control