Inuence of technical-economic energy context for the management of wind farms and storage systems in a constrained network

This paper presents the control of wind generators and energy storage systems in a competitive market and technically constrained electrical systems. In such situations, storage systems have two purposes; the first one is to recover renewable energy which is normally cut off when line congestions are present. The second one is to increase its profitability, buying and selling energy on the market by taking advantage of price fluctuation. The optimization of the hybrid wind-storage system is realized in this paper using Iterative Dynamic Programming and considering wind production, load and price forecast one day in advance. Then, an economic study is achieved in order to show the effect of different market scenarios for both conventional or renewable production. Simulation results first show that the correct location and sizing of the storage system can increase wind production recovery. Secondly, the impact of renewable energy pricing on the management of the hybrid wind-storage system is studied. The optimization of revenues or renewable energy production is not always compatible in presence of storage and variable energy prices.