The Experts below are selected from a list of 15183 Experts worldwide ranked by ideXlab platform
José R. Wilhelmi - One of the best experts on this subject based on the ideXlab platform.
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assessment of the economic impact of environmental constraints on short term Hydropower Plant operation
Energy Policy, 2010Co-Authors: Juan I Perezdiaz, José R. WilhelmiAbstract:Abstract Environmental constraints imposed on Hydropower operation are becoming increasingly restrictive. These constraints may reduce the operational flexibility of a hydro Plant and therefore its revenue. The objective of this paper is to assess the economic impact of minimum environmental flows and maximum ramping rates on the annual operation of a Hydropower Plant. For this purpose, a revenue-driven annual optimization model based on discrete dynamic programming and mixed integer linear programming is used. The model considers hourly water inflows and energy prices, limits on reservoir level and water discharge, power generation dependence on the available head, wear and tear costs of hydro units caused by power variations, start-up and shut-down costs of hydro units, and the above-mentioned environmental constraints. In order to show the applicability of the proposed methodology, it is used in a real Hydropower Plant under five different water year types and 56 distinct combinations of the considered environmental constraints. The results indicate that the revenues of the Hydropower Plant are very sensitive to the presence and magnitudes of these constraints. Annual losses increase quadratically as a function of the maximum ramping rates and almost linearly as a function of the minimum environmental flows.
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optimal short term operation schedule of a Hydropower Plant in a competitive electricity market
Energy Conversion and Management, 2010Co-Authors: Juan I Perezdiaz, José R. Wilhelmi, Luis A ArevaloAbstract:Abstract This paper presents a dynamic programming model to solve the short-term scheduling problem of a Hydropower Plant that sells energy in a pool-based electricity market with the objective of maximizing the revenue. This is a nonlinear and non-concave problem subject to strong technical and strategic constraints, and in which discrete and continuous variables take part. The model described in this paper determines, in each hour of the planning horizon (typically from one day to one week), both the optimal number of units in operation (unit commitment) and the power to be generated by the committed units (generation dispatch). The power generated by each unit is considered as a nonlinear function of the actual water discharge and volume of the associated reservoir. The dependence of the units’ efficiency and operating limits with the available gross head is also accounted for in this model. The application of this model to a real Hydropower Plant demonstrates its capabilities in providing the operation schedule that maximizes the revenue of the hydro Plant while satisfying several constraints of different classes. In addition, the use of this model as a supporting tool to estimate the economic feasibility of a Hydropower Plant development project is also analyzed in the paper.
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Assessment of the economic impact of environmental constraints on short-term Hydropower Plant operation
Energy Policy, 2010Co-Authors: Juan I. Pérez-díaz, José R. WilhelmiAbstract:Environmental constraints imposed on Hydropower Plant operation are usually given in the form of minimum environmental flows and, in some cases, in the form of maximum and minimum rates of change of flows, or ramping rates. Environmental constraints reduce the amount of water available to produce electricity and limit the contribution of peak Hydropower Plants to adapting the power supply to the demand and to providing certain ancillary services to the electrical grid, such as spinning reserve or load-frequency control. The objective of this paper is to assess the economic impact of environmental constraints on short-term Hydropower Plant operation. For that purpose, a revenue-driven daily optimization model based on mixed integer linear programming is used. The model considers the head variation and its influence on the units' efficiency, as well as the option of starting-up or shutting-down the Plant at any hour of the day, should it be advantageous, while releasing the environmental flow through the bottom outlets. In order to illustrate the applicability of the methodology, it is applied in a real Hydropower Plant under different operating conditions and environmental constraints.
Juan I Perezdiaz - One of the best experts on this subject based on the ideXlab platform.
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optimal short term operation schedule of a Hydropower Plant in a competitive electricity market
Energy Conversion and Management, 2010Co-Authors: Juan I Perezdiaz, José R. Wilhelmi, Luis A ArevaloAbstract:Abstract This paper presents a dynamic programming model to solve the short-term scheduling problem of a Hydropower Plant that sells energy in a pool-based electricity market with the objective of maximizing the revenue. This is a nonlinear and non-concave problem subject to strong technical and strategic constraints, and in which discrete and continuous variables take part. The model described in this paper determines, in each hour of the planning horizon (typically from one day to one week), both the optimal number of units in operation (unit commitment) and the power to be generated by the committed units (generation dispatch). The power generated by each unit is considered as a nonlinear function of the actual water discharge and volume of the associated reservoir. The dependence of the units’ efficiency and operating limits with the available gross head is also accounted for in this model. The application of this model to a real Hydropower Plant demonstrates its capabilities in providing the operation schedule that maximizes the revenue of the hydro Plant while satisfying several constraints of different classes. In addition, the use of this model as a supporting tool to estimate the economic feasibility of a Hydropower Plant development project is also analyzed in the paper.
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assessment of the economic impact of environmental constraints on short term Hydropower Plant operation
Energy Policy, 2010Co-Authors: Juan I Perezdiaz, José R. WilhelmiAbstract:Abstract Environmental constraints imposed on Hydropower operation are becoming increasingly restrictive. These constraints may reduce the operational flexibility of a hydro Plant and therefore its revenue. The objective of this paper is to assess the economic impact of minimum environmental flows and maximum ramping rates on the annual operation of a Hydropower Plant. For this purpose, a revenue-driven annual optimization model based on discrete dynamic programming and mixed integer linear programming is used. The model considers hourly water inflows and energy prices, limits on reservoir level and water discharge, power generation dependence on the available head, wear and tear costs of hydro units caused by power variations, start-up and shut-down costs of hydro units, and the above-mentioned environmental constraints. In order to show the applicability of the proposed methodology, it is used in a real Hydropower Plant under five different water year types and 56 distinct combinations of the considered environmental constraints. The results indicate that the revenues of the Hydropower Plant are very sensitive to the presence and magnitudes of these constraints. Annual losses increase quadratically as a function of the maximum ramping rates and almost linearly as a function of the minimum environmental flows.
Juan I. Pérez-díaz - One of the best experts on this subject based on the ideXlab platform.
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Assessment of the economic impact of environmental constraints on short-term Hydropower Plant operation
Energy Policy, 2010Co-Authors: Juan I. Pérez-díaz, José R. WilhelmiAbstract:Environmental constraints imposed on Hydropower Plant operation are usually given in the form of minimum environmental flows and, in some cases, in the form of maximum and minimum rates of change of flows, or ramping rates. Environmental constraints reduce the amount of water available to produce electricity and limit the contribution of peak Hydropower Plants to adapting the power supply to the demand and to providing certain ancillary services to the electrical grid, such as spinning reserve or load-frequency control. The objective of this paper is to assess the economic impact of environmental constraints on short-term Hydropower Plant operation. For that purpose, a revenue-driven daily optimization model based on mixed integer linear programming is used. The model considers the head variation and its influence on the units' efficiency, as well as the option of starting-up or shutting-down the Plant at any hour of the day, should it be advantageous, while releasing the environmental flow through the bottom outlets. In order to illustrate the applicability of the methodology, it is applied in a real Hydropower Plant under different operating conditions and environmental constraints.
Luis A Arevalo - One of the best experts on this subject based on the ideXlab platform.
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optimal short term operation schedule of a Hydropower Plant in a competitive electricity market
Energy Conversion and Management, 2010Co-Authors: Juan I Perezdiaz, José R. Wilhelmi, Luis A ArevaloAbstract:Abstract This paper presents a dynamic programming model to solve the short-term scheduling problem of a Hydropower Plant that sells energy in a pool-based electricity market with the objective of maximizing the revenue. This is a nonlinear and non-concave problem subject to strong technical and strategic constraints, and in which discrete and continuous variables take part. The model described in this paper determines, in each hour of the planning horizon (typically from one day to one week), both the optimal number of units in operation (unit commitment) and the power to be generated by the committed units (generation dispatch). The power generated by each unit is considered as a nonlinear function of the actual water discharge and volume of the associated reservoir. The dependence of the units’ efficiency and operating limits with the available gross head is also accounted for in this model. The application of this model to a real Hydropower Plant demonstrates its capabilities in providing the operation schedule that maximizes the revenue of the hydro Plant while satisfying several constraints of different classes. In addition, the use of this model as a supporting tool to estimate the economic feasibility of a Hydropower Plant development project is also analyzed in the paper.
Silvia Tolo - One of the best experts on this subject based on the ideXlab platform.
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Dynamic analysis of a pumped-storage Hydropower Plant with random power load
Mechanical Systems and Signal Processing, 2018Co-Authors: Hao Zhang, Diyi Chen, Edoardo Patelli, Silvia ToloAbstract:This paper analyzes the dynamic response of a pumped-storage Hydropower Plant in generating mode. Considering the elastic water column effects in the penstock, a linearized reduced order dynamic model of the pumped-storage Hydropower Plant is used in this paper. As the power load is always random, a set of random generator electric power output is introduced to research the dynamic behaviors of the pumped-storage Hydropower Plant. Then, the influences of the PI gains on the dynamic characteristics of the pumped-storage Hydropower Plant with the random power load are analyzed. In addition, the effects of initial power load and PI parameters on the stability of the pumped-storage Hydropower Plant are studied in depth. All of the above results will provide theoretical guidance for the study and analysis of the pumped-storage Hydropower Plant.
