PROJECT TITLE :

Optimal Energy Management of Residential PV IHESS Using Evolutionary Fuzzy Control - 2017

ABSTRACT:

The adoption of residential photovoltaic power generators combined with energy storage system can scale back the energy dependency of individual households whereas assuaging the impact of intermittent solar energy on the electrical power grid. However, to maximise the benefits, energy in such systems must be fastidiously managed. The primary step towards development of such energy management system, described in our previous work, is determination of the optimal power flows that reflects this and future solar energy availability and household load, additionally as the state of the energy storage system. This paper builds on the optimal power flows to develop a sophisticated energy management system in form of a fuzzy rule base system. The time series of the optimal flows, determined using linear programming, are used to work out the parameters of a Takagi-Sugeno fuzzy controller through differential evolution. The resulting system will be implemented to regulate power flows in alternative systems composed of photovoltaic generation and energy storage. The results confirm the operational and economic edges of using the optimal operational strategy, while permitting its in-depth analysis through the evolved fuzzy rule base.