A Fuzzy Multi-Objective Optimization Model for Production and Consumption Management in Energy Micro Smart Grids

Electricity is one of the most important carriers of energy used in buildings. By introducing energy smart grids (SG) and energy micro smart grids (MSGs) alongside smart buildings, a good platform has been provided for optimal planning of electricity production and consumption. In this paper, an MSG consists of renewable resources, diesel generators and cell batteries in bidirectional connection with an SG is modeled, which is connected to a smart building including lighting, temperature and air conditioning loads on the consumer side. Fuzzy controllers have been used to implement intelligent building management systems as well as in MSG to manage power generation and sales with SG. The decision variables are fuzzy controller rules that optimized by an NSGAII multi-objective optimization algorithm with five different objective functions. The results show that the fuzzy controllers work better than the methods that directly use the power allocated to the building loads as the decision variable.