Hydroelectric power plants are known for their ability to cover variations of the consumption in electrical power networks. In order to follow this changing demand, hydraulic machines are subject to off-design operation. In that case, the swirling flow leaving the runner of a Francis turbine may act under given conditions as an excitation source for the whole hydraulic system. In high load oper...

This paper presents a simple and efficient operating strategy for the operation of Pumped Storage Hydro (PSH) plant so as to maximize the profit of the Wind-Thermal-PSH hybrid plant with considering the grid frequency (f) and current energy level of the PSH plant. The wind speed is predicted for a day-ahead market and with this predicted value of wind speed the wind plants are committed to supp...

Microwave-assisted hydro distillation MAHD of eucalyptus citriodora. oil was investigated and a comparison was made with conventional hydro distillation. For MAHD, three process parameters; Microwave power, Extraction time and duration of dryness of sample were selected for the extraction. MAHD resulted in a shorter extraction time and better quality of oil compared to that in conventional hydr...

The spirally arranged stems of the spikemoss Selaginella lepidophylla, an ancient resurrection plant, compactly curl into a nest-ball shape upon dehydration. Due to its spiral phyllotaxy, older outer stems on the plant interlace and envelope the younger inner stems forming the plant centre. Stem curling is a morphological mechanism that limits photoinhibitory and thermal damages the plant might...

This work focuses on the deterministic optimization of short-term scheduling for hydroelectric power generation. The proposed methodology builds on a detailed mathematical programming model by considering the topological, reservoir, and plant constraints, and by representing the hydro production by an accurate function. The formulation results in a non-convex MINLP problem. A deterministic opti...

This paper proposes an algorithmic framework for solving parametric optimization problems which we call adjoint-based predictor-corrector sequential convex programming. After presenting the algorithm, we prove a contraction estimate that guarantees the tracking performance of the algorithm. Two variants of this algorithm are investigated. The first can be used to treat online parametric nonline...

In hydro power plants from Romania, there is a major interest for the implementation of digital systems for monitoring and control replacing the conventional control systems for power, frequency and voltage. Therefore is necessary to develop new algorithms, in order to be able to implement digital control systems for monitoring and control of a group of hydro power plants in a cascade system al...

Invasive alien plant species negatively impact native plant communities by out-competing species or changing abiotic and biotic conditions in their introduced range. River systems are especially vulnerable to biological invasions, because waterways can function as invasion corridors. Understanding interactions of invasive and native species and their combined effects on river dynamics is essent...

This paper presents a novel approach to solve the hydro plant dispatch problem based on the artificial neural network (ANN) and genetic algorithm (GA). In this work, the difficult water balance constraints are embedded and satisfied throughout the proposed encoding and decoding algorithms. The ANN is used as a pre-dispatch tool to generate raw hydro output for each hour temporarily ignoring tim...