نتایج جستجو برای: reservoir operation

تعداد نتایج: 251632  

2006
DONALD H. BURN HENRY D. VENEMA

Reliability, resiliency, and vulnerability criteria are formulated as risk-based performance measures for the evaluation of a real-time reservoir operation model. The reservoir operation model includes a multi-objective compromise programming algorithm to select, in real time, an optimal operating horizon for the reservoir operation. The utility of the risk-based performance criteria for compar...

2003
R. Schroeder D. Swenson T. Okabe K. Hayashi

This paper describes analyses being performed to aid in the development of operation strategies for the Long Term Flow Test at the Hijiori Hot Dry Rock reservoir, Japan. Testing has shown that the reservoir is dominated by flow in natural fractures that connect the reservoir to the far-field. When the injection flow is doubled, the production flow rate stays approximately constant. Also, during...

M.H. Rabiei, M.T. Aalami, S. Talatahari,

This paper utilizes the Colliding Bodies of Optimization (CBO), Enhanced Colliding Bodies of Optimization (ECBO) and Vibrating Particles System (VPS) algorithms to optimize the reservoir system operation. CBO is based on physics equations governing the one-dimensional collisions between bodies, with each agent solution being considered as an object or body with mass and ECBO utilizes memory to ...

Water reservoir programming studies aim to determine the final cultivated land area based on predefined agricultural models and water requirements. Dam utilization rule curve is also provided in such studies. The system of Dez dam water resources was simulated applying the basic information in order to determine the capability of its reservoir to provide the objectives of the performed plan. As...

2006
M. R. Jalali A. Afshar

In this paper, an improved Ant Colony Optimization (ACO) algorithm is proposed for reservoir operation. Through a collection of cooperative agents called ants, the near-optimum solution to the reservoir operation can be e ectively achieved. To apply the proposed ACO algorithm, the problem is approached by considering a nite horizon with a time series of in ow, classifying the reservoir volume t...

Journal: :کشاورزی (منتشر نمی شود) 0
محمدرضا نجفی شهری استادیار، گروه آبیاری و زهکشی، پردیس کشاورزی و منابع طبیعی، دانشگاه تهران، پاکدشت

the sefidrud dam was constructed and made operational in iran in 1962. the reservoir lost a considerable amount of its storage capacity in the first two decades of its operation when about 800 mcm sediment deposited in it and by considering the total capacity, 1800 mcm, the live storage capacity was reduced by 45 percent in 1980. the gilan project authorities have attempted to recreate the rese...

2006
D. NAGESH JANGA REDDY M. J. REDDY

In this paper a metaheuristic technique called Ant Colony Optimization (ACO) is proposed to derive operating policies for a multi-purpose reservoir system. Most of the real world problems often involve non-linear optimization in their solution with high dimensionality and large number of equality and inequality constraints. Often the conventional techniques fail to yield global optimal solution...

2004
Srinivasa Raju K. Srinivasa Raju

In the present study an evolutionary based optimization algorithm Differential Evolution (DE) is applied to a case study of Bisalpur project, Rajasthan, India. The objective of DE based planning model is to determine suitable cropping pattern which yields maximum net benefits. Ten different strategies (variations) of DE are analyzed with various population sizes, crossover constants and weighti...

2017
Zhiqiang Jiang Hui Qin Wenjie Wu Yaqi Qiao

Although many optimization models and methods are applied to the optimization of reservoir operation at present, the optimal operation decision that is made through these models and methods is just a retrospective review. Due to the limitation of hydrological prediction accuracy, it is practical and feasible to obtain the suboptimal or satisfactory solution by the established operation rules in...

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