Unit commitment of single hydroelectric plant

Finardi, Erlon Cristian; Silva, E.L. da

doi:10.1016/j.epsr.2005.01.008

Cited by 59 publications

(29 citation statements)

References 5 publications

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“…However, if net water head is known, the production function can be approximated by a polynomial with water discharge as an independent variable. For most hydroelectric plants in the Brazilian system, Finardi and da Silva [18] demonstrate that a better approximation for the production function is a polynomial of degree 7. Thus: p(q) = a 1 q 7 + a 2 q 6 + a 3 q 5 + a 4 q 4 + a 5 q 3 + a 6 q 2 + a 7 q + a 8…”

Section: Unit Commitment Dispatch For a Single Hydroelectric Plantmentioning

confidence: 98%

Cost assessment of efficiency losses in hydroelectric plants

Galvis

Padilha‐Feltrin

Yusta

2011

Electric Power Systems Research

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a b s t r a c tSome important real-time tasks of the independent system operator (ISO) are the monitoring and control of power system events (load deviations and contingencies). These events are usually managed by the ISO using operating reserve ancillary services. These services represent an additional capacity (MW) available in generators and some interruptible loads. Generators must change their operating points in order that this capacity can remain available. These changes might lead to efficiency losses in energy production. In systems with a high percentage of hydroelectric production, hydroelectric plants need to know the impact of ancillary services on their profits. This work therefore analyzes the cost of efficiency losses due to operating reserve availability in hydroelectric generators. A method to calculate this cost component is proposed using a unit commitment dispatch for a single hydroelectric plant. This dispatch is performed without considering the operating reserve availability and is compared with the traditional dispatch, which takes into account the availability of operating reserve. The proposal is used to calculate the cost of efficiency losses on a Brazilian hydroelectric generator. We found that the cost of efficiency losses can be considerable when compared to the incomes of a hydroelectric plant in the short-term market.

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Section: Unit Commitment Dispatch For a Single Hydroelectric Plantmentioning

confidence: 98%

Cost assessment of efficiency losses in hydroelectric plants

Galvis

Padilha‐Feltrin

Yusta

2011

Electric Power Systems Research

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“…The process of scheduling the available turbines (i.e., units) referred to as unit commitment problem involves systems constraints, the decision process of determining the water allocation among units focus on the power generation maximization based on operating conditions: individual turbine-generator efficiency, system head and water discharge (Finardi and da Silva 2005;Sousa et al 2007). An optimal unit dispatch is achieved when a unit is being operated consuming as much less resources as possible while achieving a maximum power generation (Sousa et al 2007).…”

Section: Unit Commitmentmentioning

confidence: 99%

Optimal and Adaptive Operation of a Hydropower System with Unit Commitment and Water Quality Constraints

Ferreira

Teegavarapu

2011

Water Resour Manage

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Management of water resources has become more complex in recent years as a result of changing attitudes towards sustainability and the attribution of greater attention to environmental issues, especially under a scenario of water scarcity risk introduced by climate changes and anthropogenic pressures. This study addresses the optimal short-term operation of a multi-purpose hydropower system under an environment where objectives are conflicting. New optimization models using mixed integer nonlinear programming (MINLP) with binary variables adopted for incorporating unit commitment constraints and adaptive real-time operations are developed and applied to a real life hydropower reservoir in Brazil, utilizing evolutionary algorithms. These formulations address water quality concerns downstream of the reservoir and optimal operations for power generation in an integrated manner and deal with uncertain future flows due to climate change. Results obtained using genetic algorithm (GA) solvers were superior to gradient based methods, converging to superior optimal solutions especially due to computational intractability problems associated with combinatorial domain of integer variables in the unit commitment formulation. The adaptive operation formulation in conjunction with the solution of turbine unit commitment problem yielded more reliable solutions, reducing forecasting uncertainty and providing more flexible operational rules.

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“…Hill curves of a prototype are constant efficiency lines plotted in the field of discharge/power and net head (Finardi and Silva 2005;Dinizet al 2007). Typical hill curves of a turbine are drawn upto maximum permissible head as shown in Figure 3.…”

Section: Turbine Efficiencymentioning

confidence: 99%

Strategic Planning for Operation of Large Hydropower Plants

Awasthi¹,

Prasad²,

Rangnekar

2014

Hydro Nepal

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Abstract:Electricity is an integral part of modern life. The main sources of power generation continue to be the fossil fuels which are largely responsible for global warming. In view of environmental concerns, there is increasing awareness on judicious use of natural resources, including water. Large hydroelectric power plants are generally multi-purpose projects and require huge quantities of water for their operation. Usually the generating units in a hydroelectric power plant are put in operation to meet the electrical load demand without considering the efficiency of the units, which can lead to excessive water use. It is now need of the hour to pay more attention to optimizing the utilization of water in hydroelectric power plants.This paper presents strategic planning for optimal operation of large hydroelectric power plants. Large variation in efficiency of a Francis turbine forms the basis of proposed methodology in which turbines are operated at maximum efficiency. In one approach, discharge is minimized for constant load operation thus conserving water. In another approach, generation is maximized with the same quantity of water. The fringe benefits include creation of operating reserve and availability of additional reactive power in the generator.

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Unit commitment of single hydroelectric plant

Cited by 59 publications

References 5 publications

Cost assessment of efficiency losses in hydroelectric plants

Cost assessment of efficiency losses in hydroelectric plants

Optimal and Adaptive Operation of a Hydropower System with Unit Commitment and Water Quality Constraints

Strategic Planning for Operation of Large Hydropower Plants

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