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Published byChandler Vinyard Modified about 1 year ago

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Comparison of Genetic Algorithm and WASAM model for Real Time Water Allocation: A Case Study of Song Phi Nong Irrigation Project Bhaktikul, K. Mahidol University Soiprasert, N. Royal Irrigation Department Sombunying, W Chulalongkorn University

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Introduction Irrigation System Management Water availability : Wet year Normal year Normal year Drought year Drought year Water requirement varies by weekly / monthly Optimal water supply : supply = demand

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Introduction Saving water to next period or downstream projects Decision on real time Limit of available software Mathematical model for complex system

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Objectives To determine optimal water allocation in various water supply situation by optimization technique (GA) Song Phi Nong Irrigation Project which covers area of 300,000 rai and 32 irrigation schemes of 300,000 rai and 32 irrigation schemes Study area

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Seasonal water requirement is in range 0.0 – 5.65 m3/s Max. canal capacity 0.42 – 82.98 m3/s

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Irrigation System model - Inflow node - Demand node - Sink node

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Problem Formulation Objective function Where di = irrigation demand for schemes i xi = irrigation supply to schemes i. xi = irrigation supply to schemes i. R1 = coefficient of penalty function (P1) R1 = coefficient of penalty function (P1) R2 = coefficient of penalty function (P2) R2 = coefficient of penalty function (P2) If nodal balance > 0.001 If xi > di

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Problem Formulation Constraint : 1. Canal flow <= max. canal capacity 2. nodal balance = 0.0 3. supply <= demand 3. supply <= demand

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Model development - Written in C Programming - 9 sub routines

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Input requirement

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Parameters Sensitivity

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Study results Drought period - GA model give equity in supply in each canal. - The ratio of water supply to demand was nearly equal to 0.6, 0.7, 0.8, and 0.9 in every week. - WASAM model can not operate in this period

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Study results Normal and flood period - GA model give supply in each canal not over demand - Both GA and WASAM give the similar results

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Study results Q (m3/s) Canal No.

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