Multiobjective Optimization Model for Wind Power Allocation

Juan Alemany,Przemyslaw Komarnicki,Pio Lombardi,Bartlomiej Arendarski,Fernando Magnago

doi:10.1155/2017/1876934

Abstract

There is an increasing need for the injection to the grid of renewable energy; therefore, to evaluate the optimal location of new renewable generation is an important task. The primary purpose of this work is to develop a multiobjective optimization model that permits finding multiple trade-off solutions for the location of new wind power resources. It is based on the augmented ε-constrained methodology. Two competitive objectives are considered: maximization of preexisting energy injection and maximization of new wind energy injection, both embedded, in the maximization of load supply. The results show that the location of new renewable generation units affects considerably the transmission network flows, the load supply, and the preexisting energy injection. Moreover, there are diverse opportunities to benefit the preexisting generation, contrarily to the expected effect where renewable generation displaces conventional power. The proposed methodology produces a diverse range of equivalent solutions, expanding and enriching the horizon of options and giving flexibility to the decision-making process.

Highlights

Finding improvements in the operational conditions of a power system is an important task because many transmission networks still run inefficiently
There are different options to increase the energy injection from renewable sources in order to exploit at a maximum the remaining renewable power capacity, for example, the addition of new transmission lines that could help delivering the extra energy, the increased participation of the consumers on the grid by using demand response programs [1, 2], the strategic location of energy storage systems that contribute to absorbing the renewable energy surpluses [3, 4], and the placement of new distributed generation that helps maximizing the load supply [5]
The planned new wind generation is set to 100 turbines, each one with a 2 MW capacity

Summary

Introduction

Finding improvements in the operational conditions of a power system is an important task because many transmission networks still run inefficiently. The model considers three objective functions which quantify the total expansion cost, the environmental impact associated with the installed power, and the environmental impact associated with the energy generation. These ideas can be applied to improve the operational conditions of power systems, in particular with high penetration of RR, focusing on the system ability to supply more load. To accomplish this task, it is necessary to develop new models, evaluate different operative options, and consider extended planning strategies.

Load Supplying Improvement with Wind Farms Placement

Numerical Results

Conclusion

B: Set of buses