engleski

Multi-objective Long-term Optimization of Energy Systems with High Share of Renewable Energy Resources

The paper presents the results of the ongoing research with a goal of investigating the possibility of improvement of the planning of the supply side of energy system with high share of Renewable Energy Sources (RES). The problem consists in selecting appropriate generating and storage components and their sizing for a scenario in a horizon of twenty years, with linear increase of demand side of energy system. Due to stochastic nature of RES, it is necessary to integrate expensive storage capacities into an energy system with high share of RES. Two-level approach is used in this study. On the global level multi-objective optimization is generating Pareto frontier with the objectives of minimizing overall Net Present Value of energy system (NPV), minimization of NPV levelized by produced energy and minimization of RES capacities. Design variables on this level are starting nominal installed power of power plants and yearly increase of nominal power of each power source. On the local level, coverage of the demand for each hour is assured. Local level in a current study is divided in 24-hour segments in which regulation of non-RES power plants and electric vehicle (EV) storage secures availability of electricity to satisfy the demand side of the energy system. Two approaches are under investigation on the local level. In the first, regulation is done using expert knowledge, while in the other optimization is applied to a problem that encompasses 24-hour segment with objective of minimization of operating costs. This approach was applied to a case-study of Dubrovnik with the integration of EV serving as battery storage in Vehicle-to-Grid (V2G) mode. The preliminary results suggest that it is possible to decrease the amount of installed capacity for the scenario that applies optimization on the local level and decrease the initial investment costs, due to better control of the charging and discharging cycles of EV storages.

Optimization; storage; V2G; EV; NPV; RES

nije evidentirano