A genetic algorithm approach is
used for optimum design and operation of water distribution systems. Island
ring topology is used to achieve solution.
Optimum design and operation
refers to the selection of pump type, capacity, and number of units as well
as scheduling the operation of irrigation pumps that results in minimum
design and operating cost for a given set of demand curves, minimizing total
annual cost which consists of operation and maintenance costs and
depreciation cost of initial investment.
A pumping station has N different
pumps delivering water to an irrigation district from an assumed infinite
water source (Figure 1). Each pump may have its own characteristics.
Optimization model
Annual total cost (ATC) for
pumping set is:
,
where
;
;
Ek
- consumed energy; PE
- unit energy cost; Ci
- cost of the pump; CRF
- capital recovery factor; Ki
- equivalent cost of pump after construction time; CT
- construction time (years); T
- project’s useful life after installation (years); r
- rate of interest.
Consumed energy is introduced with
certain constraints as
in which Ek
- total annual consumed energy; Qi,j
- discharge from pump; Hi,j
- pumping head of pump; ei,j
- efficiency of pump; dtj
- time step on the demand-duration curve; IQj
- total demand at time step; p
- density of water; g
- gravitational acceleration.
Note that pump efficiency is a
function of pump discharge and pumping head, which is related to the total
discharge.
Solution of the
mathematical model
Application
A genetic algorithm method (GA) is
used to solve the problem and to find global optimal solution.
Program WAPIRRA was designed for this problem and has wide range of
applications.
On Download
Demo Page you may free download WAPIRRA demo
version.
For a case study, the main pumping
station of the Farabi Agricultural and Industrial Region, Iran, is
considered. It consists of a 20,000-hectare agricultural land, which is
located in Khoozestan province in southwestern of Iran. In this station,
demanded water is supplied for agricultural use from the Karoon River to the
main lot. Figure 2 shows the demand duration curve, and its discretized
scheme, which must be pumped by main pumping station.
As a matter of interest, a problem
with one discharge duration curve, with 12 divisions representing for each
month of a year, and four different types of pumps, just like the real case
study, was considered to apply.
On Fig.2 (right picture) the
results for optimal solution are shown (sign “$” means only currency
unit).
Results are relative to the chosen (real case) Standard = 100% (left
picture).
It shows sufficient reduce of cost
for optimal solution.