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Journal ArticleDOI

Optimization and uncertainty analysis of operational policies for multipurpose reservoir system

TLDR
In this paper, an optimization and uncertainty analysis of operation policies for Hirakud reservoir system in Orissa state, India is presented, and the uncertainty in release decisions and end-storages are analyzed.
Abstract
This paper presents optimization and uncertainty analysis of operation policies for Hirakud reservoir system in Orissa state, India. The Hirakud reservoir project serves multiple purposes such as flood control, irrigation and power generation in that order of priority. A 10-daily reservoir operation model is formulated to maximize annual hydropower production subjected to satisfying flood control restrictions, irrigation requirements, and various other physical and technical constraints. The reservoir operational model is solved by using elitist-mutated particle swarm optimization (EMPSO) method, and the uncertainty in release decisions and end-storages are analyzed. On comparing the annual hydropower production obtained by EMPSO method with historical annual hydropower, it is found that there is a greater chance of improving the system performance by optimally operating the reservoir system. The analysis also reveals that the inflow into reservoir is highly uncertain variable, which significantly influences the operational decisions for reservoir system. Hence, in order to account uncertainty in inflow, the reservoir operation model is solved for different exceedance probabilities of inflows. The uncertainty in inflows is represented through probability distributions such as normal, lognormal, exponential and generalized extreme value distributions; and the best fit model is selected to obtain inflows for different exceedance probabilities. Then the reservoir operation model is solved using EMPSO method to arrive at suitable operational policies corresponding to various inflow scenarios. The results show that the amount of annual hydropower generated decreases as the value of inflow exceedance probability increases. The obtained operational polices provides confidence in release decisions, therefore these could be useful for reservoir operation.

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Citations
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Journal ArticleDOI

Application of particle swarm optimization to water management: an introduction and overview.

TL;DR: A comprehensive overview of the basic PSO algorithm search strategy and PSO’s applications and performance analysis in water resources engineering optimization problems is presented.
Journal ArticleDOI

A review of applications of animal-inspired evolutionary algorithms in reservoir operation modelling

TL;DR: Comparison results revealed that constrained, discrete and randomized varieties of the animal‐inspired EAs outperformed unconstrained, continuous and deterministic varieties, respectively because of larger feasible search space, better solution quality and shorter computational time.
Journal ArticleDOI

Two-Stage Metaheuristic Mixed Integer Nonlinear Programming Approach to Extract Optimum Hedging Rules for Multireservoir Systems

TL;DR: Hedging policy is an applicable strategy for water resources systems with storage reservoirs to reduce the damage resulting from extended droughts and optimizing the operation of parallel and double-shot reservoirs is recommended.
Journal ArticleDOI

Performance evaluation of implicit stochastic reservoir operation optimization supported by long-term mean inflow forecast

TL;DR: The results indicate the feasibility of using ISO in view of its lower vulnerability in contrast to the SOP as well as the proximity of its operations with those by PFDO, and reveal that there is an optimal choice for the forecasting horizon.
Journal ArticleDOI

Stochastic competitive analysis of hydropower and water supplies within an energy–water nexus

TL;DR: In this paper, a case study of Dajia River reservoirs in the Tai-Chung and Chang-Hwa energy-water systems is presented, and the results show that integrated management of hydropower and water supplies can increase renewable energy production, lower electricity equilibrium price, and decrease carbon dioxide emission.
References
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Proceedings ArticleDOI

A new optimizer using particle swarm theory

TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI

Reliability, resiliency, and vulnerability criteria for water resource system performance evaluation

TL;DR: In this paper, three criteria for evaluating the performance of water resource systems are discussed, i.e., reliability, resilience, and vulnerability, which describe how likely a system is to fail, how quickly it recovers from failure, and how severe the consequences of failure may be.
Journal ArticleDOI

Operating rules for multireservoir systems

TL;DR: The use of genetic search algorithms to derive multireservoir operating policies using real‐valued vectors containing information needed to define both system release and individual reservoir storage volume targets as functions of total storage in each of multiple within‐year periods is proposed.
Journal ArticleDOI

Quantifying trends in system sustainability

TL;DR: In this paper, the authors focus on the measurement of the relative sustainability of renewable water resource systems, and propose a metric to measure the changes in relative system sustainability over time based on reliability, resilience, and vulnerability.
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