SPECIAL SESSION
MODELS AND METHODS FOR EFFICIENT ENERGY MANAGEMENT OF DISTRIBUTED ENERGY RESOURCES UNDER THE CONCEPT OF LOCAL ENERGY SYSTEMS Organized and co-chaired by: Dr. Giorgio Graditi and Dr. Marialaura Di Somma, ENEA Italian National Agency for New Technologies, Energy and Sustainable Economic Development (Italy)
Contact email:
[email protected],
[email protected].
Objective and topics: In recent years, depletion of fossil energy resources and global warming problems have prompted worldwide awareness about sustainability of energy supply. In such a context, Distributed Energy Resources (DER) have been recognized as a promising option for decarbonisation of energy supply. DER are expected to be widely spread with supportive policies and financial incentives, due to their economic and environmental benefits, related to the possibility to integrate several energy resources, including renewables, to recover waste heat from power generation for thermal demand in buildings, as well as to activate demand-response programs. DER organized in Local Energy Systems (LES) may offer also economically interesting conditions to boost local energy sources and activate local demand-response. In order to achieve all the mentioned benefits, the operation management is crucial, and presents significant challenges both in modeling and corresponding solution strategies. The optimal management of DER is a complex task, by presenting specific issues such as the unbalance between supply and demand sides, due to the typical instantaneous variation of user energy demand, the limited operation flexibility of certain technologies within the system to deal with the fluctuation in energy demand, and the presence of renewables. The complexity is also due to the presence of different energy carriers (e.g., electricity, heat, cooling, etc.), which need to be optimally coordinated and combined to achieve decarbonisation and energy savings, while satisfying the user multi-energy demand. The models to be developed for the optimal energy management of DER can traditionally be approached exploiting mathematical programming methods, such as mixed integer linear programming (MILP) and dynamic programming (DP) methods, able to derive a theoretically optimal solution against a long computational time (due to the many decision variables involved). Conversely, metaheuristic optimization methods allow to obtain an optimal solution faster, even if the problem is complex. Moreover, multi-objective optimization models can allow to consider both short- and long-run priorities in the optimal management of DER. This Special Session of IEEE EEEIC18 Conference intends to explore the models and methods for the efficient energy management of DER under the concept of LES. It is expected to address recent advanced topics in optimization models for DER management, by also investigating a multi-objective approach.
Potential topics include but are not limited to the following: • Management and control of renewable energy resources and cogeneration systems • Coordinated management of DER in multi-energy carrier systems • Synergies in the integration of energy networks (electricity, gas, heat, etc.) • Local energy systems, energy districts and energy communities • Demand side management via DER and storage optimization • RES and load forecasting • Discussion on planning, operation, market or policy issues related to adoption of DER • Demonstration or field application experiences • Economic, technical and environmental benefits of DER • Strategic market behavior of DER aggregation agents • Multi-objective optimization models and methods • Mathematical programming • Dynamic programming methods • Heuristics and metaheuristics optimization methods. All the instructions for paper submission are included in the conference website: http://eeeic.eu/
