Development of 3-D Optimal Surface for Operation Policies of a Multireservoir in Fuzzy Environment Using Genetic Algorithm for River Basin Development and Management

Abstract

A Multi objective, Multireservoir operation model for maximization of irrigation releases and maximization of hydropower production is proposed using Genetic Algorithm. These objectives are fuzzified and are simultaneously maximized by defining and then maximizing level of satisfaction (λ). In the present study a multireservoir system in Godavari River sub basin in Maharashtra State, India is considered. Problem is formulated with four reservoirs and a barrage. A monthly Multi Objective Genetic Algorithm Fuzzy Optimization (MOGAFUOPT) model for the present study is developed in 'C' Language. The optimal operation policy for maximization of irrigation releases, maximization of hydropower production and maximization of level of satisfaction is presented for existing demand in command area. The entire range of optimal operation policies, for different levels of satisfaction i.e. λ (ranging from 0 to 1), are determined. From the relationships developed amongst irrigation releases, hydropower production and level of satisfaction, a three dimensional (3-D) surface covering the whole range of policies has been developed. This solution surface can be the basis for decision makers for implementing the policies. Considering the future requirements in the command area, both the irrigation and hydropower demands are increased by 10 and 20%. The optimal operation policy for maximization of irrigation releases, maximization of hydropower production and maximization of level of satisfaction is also presented for these cases. The 3-D solution surface is also developed in these cases.

Optimal Irrigation Water Allocation Using a Genetic Algorithm under Various Weather Conditions

“…Similarly, Georgiou and Papamichail [10] developed a non-linear programming optimization model to determine the optimal reservoir release policies and the optimal cropping pattern in Chalkidiki region, Greece. Regulwar and Anand Raj [11] finally a monthly multi objective genetic algorithm fuzzy optimization model for two conflicting objectives of a multi reservoir system in the Godavari river sub basin, in Maharashtra state, India.…”

Management of Multipurpose Multireservoir Using Fuzzy Interactive Method

“…1. Relevant data of reservoirs such as their location, live and gross storage capacity, installed power generation capacity, maximum flow in turbines and irrigable command area are given in the Table 1, which is taken from Regulwar and Raj (2008). The irrigation demand and inflow are shown in Table 2.…”

“…Recently, Regulwar and Raj (2008) have developed 3-D optimal surface for deciding operation policies of a multi reservoir modeled in fuzzy environment for river basin development and management. In their model, maximization of irrigation release and maximization of power production have been considered as the objectives.…”

Two-Phase Multi Objective Fuzzy Linear Programming Approach for Sustainable Irrigation Planning

“…Raju and Duckstein [24] have developed the MOFLP model for sustainable irrigation planning considering the three objectives as fuzzy. Regulwar and Anand Raj ( [25,26]) have developed a monthly Multi Objective Genetic Algorithm Fuzzy Optimization model. Regulwar and Gurav [27] have developed the MOFLP irrigation planning model, which considers the fuzziness in four objectives of the case study.…”