MODEL PREDICTIVE CONTROL SCHEMES FOR PV STORAGE SYSTEMS TO INCREASE GRID COMPATIBILTIY AND OPTIMIZE ENERGY COSTS

摘要

Increasing energy prices and declining feed-in compensation leads to increasing profitability of PV-storage systems. To improve the grid compatibility of the increasing number of PV systems a grid injection cap for private PV systems is under discussion or being requested by grid codes in Germany. Increasing amount of power generation from fluctuating sources finally requires load leveling to match generation and load. The utilization of storage and variable loads of private households, combined via smart grid to a virtual power plant and incited through variable tariffs, can be an addition to large-scale storage facilities. This paper analyses several energy management approaches including a model predictive control scheme and compares their potential to achieve the objectives of maintaining high self-consumption levels (for profitability to the owner) and grid friendly power injection. In addition, the performance of a tariff controlled energy management system is analyzed to increase use of renewable energy at the time it is produced.