Long-Term Planning of Connected Industrial Microgrids: A Game Theoretical Approach Including Daily Peer-to-Microgrid Exchanges

In this paper, a tool for the long-term (LT) planning, i.e., up to 20 years, of industrial microgrids (IMGs) connected to the distribution network and made of industrial consumers, prosumers, and of the distribution system operator (DSO), is proposed. The DSO assumes here the new role of microgrid energy manager. In order to realize the proper choice of LT investments (e.g., in renewable energy system and energy storage system), a short-term (ST) energy management is performed each day of the planning period. For that purpose, a new system of daily operation including industrial load management and allowing peer-to-microgrid as well as external energy exchanges is implemented. The LT investments and ST operational decisions are coupled via two game theoretical frameworks, which also allow the modeling of the different, even conflicting, objectives of the stakeholders. Different LT and ST pricing schemes are also considered in order to provide general advices concerning the creation of new IMGs. The developed tool is tested on a virtual IMG and the technical and economical outputs are presented.