Manuel Burgos Payán

An evolutive algorithm for wind farm optimal design

An evolutive algorithm for the optimal design of wind farms is presented. The algorithm objective is to optimize the profits given an investment on a wind farm. Net present value will be used as a figure of the revenue. To work out this figure, several economic factors such as the initial capital investment, the discount rate, the value of the generated energy and the number of the years spanned by the investment are considered. All this factors depends on the preliminary design of the wind park (number, type, tower height and layout situation of wind generators), which are the variables to set.

Reference current computation methods for active power filters: accuracy assessment in the frequency domain

This paper focuses on the steady-state response of existing methods for computing the reference current of active power filters. For each class of methods, the main source of discrepancy between the load harmonic current and the computed reference current is identified and the frequency spectrum of the resulting error is analytically determined. Although this topic has been partially addressed in previous publications, the proposed frequency-domain approach provides valuable qualitative information about how the errors are produced and distributed, which is masked when the analysis is carried out in the time domain. First, the frequency-domain formulation is separately presented for each method. Then, a comparison of the resulting errors is performed on a case study. Finally, some experimental results are given to validate the proposed frequency-domain analysis.

Optimization of Wind Farm Turbine Layout Including Decision Making Under Risk

This paper presents a new contribution to optimal wind farm design, including the main risk management aspects. The objective of the algorithm is to optimize the expected profits of the wind farm by taking into account that the wind data used to design the wind farm involves some degree of uncertainty that affects the final return of the project. Net present value (NPV) will be used as a figure of the profitability in the proposed method. The maximization of the NPV means the maximization of the cumulative net cash flows (by maximizing the generation of net energy) and minimization of the investment. Both terms mainly depend on the number and type of wind turbines, tower height, and geographical position, among other factors. Therefore, the tool developed in this paper is intended to determine the wind farm configuration most suitable in the presence of risk due to uncertainty in the wind data.

A New and Efficient Method for Optimal Design of Large Offshore Wind Power Plants

This work addresses the problem of the optimal micro-siting of the wind turbines in large offshore wind power plants with the aim of maximizing the economic profitability of the project. To achieve this goal it is first necessary to estimate the required investment and, secondly, the yearly operation and maintenance costs as well as the yearly income resulting from the operation of the wind power plant over its life span. With this purpose, a complete and realistic model of economic behavior for offshore wind farms has been developed. The optimal turbines layout of a wind farm is a challenge both from a mathematical and technological point of view. The size of the solution space (computational complexity) of the problem addressed in this work dramatically increases with an increase in size of the wind farm. In order to address this difficulty, a new and computationally efficient algorithm is proposed. The method is based in the division of available marine plot in smaller areas of suitable size, sequentially optimized by an improved genetic algorithm.

An improved evolutive algorithm for large offshore wind farm optimum turbines layout

A tool for optimal wind turbines location in large offshore wind farms is proposed. The algorithm objective is to optimize the profits given an investment on an offshore wind farm. Net Present Value (NPV) is used as a figure of the revenue in the proposed method. To estimate the NPV is necessary to calculate the initial capital investment and net cash flow during the offshore wind farm life cycle. The problem is an integer-mixed type problem, exhibits manifold optimal solutions (convexity) and some variables have a range of non allowed values (solutions space not simply connected). This fact makes the problem non-derivable, preventing the use of classical analytical optimization techniques. The proposed optimization algorithm is an improved evolutionary algorithm, for which crossover and mutation operations, specifics to the problem of micro positioning, have been developed.

Optimum wind turbines operation for minimizing wake effect losses in offshore wind farms

This paper presents a new methodology for optimizing the wake effect performance and, therefore, the energy captured by the wind turbines in an offshore wind farm. The optimization is done by controlling the pitch angle and the tip speed ratio of each one of the wind turbines in order to minimize the overall wake effect between wind turbines and, as a consequence, maximize the power produced by the facility. The optimization is performed by using a genetic algorithm with the aim of maximizing the power production. The production model considers aspects as the wind turbine power coefficient dependence on the pitch angle and the tip speed ratio as well as the influence of these variables on the wake effect performance.

A State estimation approach to harmonic polluting load characterization in distribution systems

This paper develops a weighted least-squares methodology for the estimation of relevant parameters characterizing harmonic polluting industrial loads through a set of measurements acquired at the point of common coupling. The proposed method is capable of obtaining an accurate load model in the absence of detailed information about its internal structure and composition.

Power factor correction and harmonic mitigation in industry

Power factor correction in industrial facilities has become a problem nowadays because of the widespread use of power electronic equipment. Frequently, single tuned filters must replace capacitors used to increase the power factor in order to avoid resonances. This paper presents an analytical technique used to improve power factor and reduce harmonics. An orthogonal decomposition of currents in three-phase system is applied in order to compute the optimum power factor compensator for each individual problem.

Optimal control of wind turbines for minimizing overall wake effect losses in offshore wind farms

This paper presents a new methodology for optimizing the wake effect performance and, therefore, the energy captured by the wind turbines in an offshore wind farm. The optimization is done by controlling the pitch angle and the tip speed ratio of each one of the wind turbines in order to minimize the overall wake effect between wind turbines and, as a consequence, maximize the power produced by the facility. The optimization is performed by using a genetic algorithm with the aim of maximizing the power production. The production model considers aspects as the wind turbine power coefficient dependence on the pitch angle and the tip speed ratio as well as the influence of these variables on the wake effect performance.

Reference current errors of instantaneous pq-based methods for active filters

The reference current errors of instantaneous pq-based methods for active filters are analyzed in this paper. First, the error function in steady-state conditions is derived and a numerical harmonic analysis is performed. A theoretical harmonic analysis is developed to carry out the underlying reasons that causes the error harmonics due to the singularity of the harmonic spectrum. Finally, some examples of application are reported.