Multi-Criteria Decision Making Approach for Hybrid Operation of Wind Farms

Harsh S Dhiman,Vlad Muresan,Dipankar Deb,Mihaela-Ligia Unguresan

doi:10.3390/sym11050675

Abstract

Hybrid operation of wind farms has been in the limelight in recent years wherein the stochastic nature of wind causes market operators to choose an optimal strategy to maximize profit. The current work deals with a multi-criteria decision making approach to choose the best possible alternatives for a hybrid wind farm operation. A set of three, non-beneficial criteria, namely wind wakes, wind curtailment, and forced outages, were chosen to evaluate the best alternative. Three methods, (i) Simple Additive Weighting (SAW), (ii) the Technique for Order or Preference by Similarity to Ideal Solution (TOPSIS) and (iii) Complex Proportional Assessment (COPRAS), were applied to identify the best alternative, and the results revealed that for all three methods, borrowing deficit power from a neighboring wind farm is the best alternative. Comparative analyses in terms of the data requirement, the effect of dynamic decision matrices, and rank reversal in wind farm application have also been pioneered.

Highlights

Alternative energy sources have gained much importance owing to their clean operation.With limited fossil fuel and nuclear resources, solar and wind energy technologies have outgrown their market share
A multi-criteria decision making problem for the economic operation of a wind farm was presented with a set of four alternatives, which were assessed for three criteria
The cumulative priority scores were calculated for three Multi-Criteria Decision Making (MCDM) methods

Summary

Introduction

Alternative energy sources have gained much importance owing to their clean operation.With limited fossil fuel and nuclear resources, solar and wind energy technologies have outgrown their market share. Alternative energy sources have gained much importance owing to their clean operation. A renewable energy power portfolio strengthens the backbone of a country’s economy [1]. With increased penetration of renewable energy sources, its operation and control has become important [2]. Wind turbines undergo a wide range of dynamic phenomenon. Achieving economies of scale is the primary objective for a wind farm operation. Given the random nature of wind speed, accurate wind forecasting schemes aid the operator to minimize the losses. The deficit power to the grid is fulfilled by a system of batteries operating at an investment cost. Selecting an optimum operational strategy lowers the system cost and increases the reliability of the power system

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Results

Conclusion