Optimization of Reservoir Operation using Linear Programming
B. C. Kumar Raju1, Chandre Gowda C.2, Karthika B. S.3
1B C Kumar Raju*, Civil Engineering, Sapthagiri College of Engineering, Bangalore, Visvesvaraya Technological University, India.
2Chandre Gowda C, Centre for Incubation Innovation Research & Consultancy, Jyothy Institute of Technology, Bangalore, Visvesvaraya Technological University, India.
3Karthika B S, Civil Engineering, Jawaharlal Nehru National College of Engineering, Shivamogga, Visvesvaraya Technological University, India.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 1028-1032 | Volume-8 Issue-5, January 2020. | Retrieval Number: E6174018520/2020©BEIESP | DOI: 10.35940/ijrte.E6174.018520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The paper aims to derive the optimal releases monthly through linear programming for a single purpose reservoir. The releases from the reservoir are usually based upon the rule curves or operating policy adopted. The rule curve is the storage, indicating the water levels to be maintained in-order to satisfy the demand during the operation period. Linear programming (LP) is one of the global optimization techniques that have gained popularity as a means to attain reservoir operation. In the present study Linear Programming was used to develop an operation policy for Hemavathy Reservoir, Hassan District Karnataka, India. The decision variables were monthly reservoir releases for irrigation and initial storages in reservoir at beginning of the month. The constraint bound for the reservoir releases was reservoir storage capacity. The results derived by using Linear Programming shows that the downstream irrigation demands were satisfied and also considerable amount of water was conserved from reduced spills.
Keywords: Reservoir Operation, Linear Programming, Optimization, Rule curve.
Scope of the Article: Service Discovery and Composition.