Abstract

Electricity consumption of pump group accounts for a significant proportion of cost in water distribution system (WDS). This paper discusses the optimal regulation method for parallel water-intake pump group consisting of fixed-frequency pumps and variable-frequency pumps. For this purpose, the regulation strategy for the water level of clean water tank is designed, and then the intake water flow of parallel pump group is calculated. For overall optimazing operation of parallel water-intake pump group, the mimimization of electricity consumption is performed within the constraints of limited pressure fluctuations of WDS and required flow of water supply. Dynamic programming algorithm and particle swarm optimization algorithm are employed to solve the optimization problem with constraints. Experimental studies have been conducted and the results show that 4.20% electricity-saving can be achieved by using the proposed optimal regulation method.

Highlights

  • Water distribution system (WDS) is a critical infrastructure in urban areas [1]

  • CLEAN WATER TANK REGULATION The percentage of volume of clean water tank in the maximum daily water consumption is a factor that affects the operation of water-intake pump group

  • Optimal operation of water-intake pump group is an important link in the water treatment process of water treatment plant

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Summary

Introduction

Water distribution system (WDS) is a critical infrastructure in urban areas [1]. Its operational management is a subject of increasing interest, taking into account the economic and environmental factors [2]. Its optimization involves many aspects, such as layout of pipe network, water consumption, types of pump group, clean water tank, and electricity charges [3], [4]. The optimal regulation of pump group has been proved to be a practical and effective method for reducing operation costs of the whole WDS system [5]–[7]. According to the number of variables and optimization objectives, optimal regulation problem of pump group may become very complex, especially in large systems. Some literature have studied this problem, introducing different approaches [8], [9]

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