Implementation of Microgrid on the University Campus of UNICAMP- Brazil: Case Study

Abstract

Based on the development of new technologies in the electrical engineering field, microgrids can be understood as the effective implantation of smart grids. These, in turn, have functionalities for energy management, such as voltage control, frequency, and demand management, and can also operate in a connected or island mode concerning the utilities resources. In the face of such technological advances and energy management, this paper presents a proposal for the implementation of a microgrid, called CampusGRID. This microgrid will be installed on the University Campus of UNICAMP - Brazil, being connected to a 11.9kV level voltage grid with 2370 kVA power rated shared among eleven points of connections and demand varying from 475 to 768 kW. For the control of loads (electric vehicle, classroom buildings, laboratories, libraries, convention center, multidisciplinary gymnasium), it is proposed to automate the circuits in the secondary side of transformers to control the loads, as well as the monitoring of these. For the power generation system, a set of distributed energy resources (DER) was considered, such as photovoltaic sources (PV), sources with cogeneration known for the combination of heat and power (CHP) using natural gas and storage system with lithium-ion batteries. These energy resources will be controlled by a centralized energy management system, with fiber-optic network communication, ensuring signal synchronism to the equipment for the provision of services, as well as serving as a means to collect the data set from the respective equipment for studies and performance improvements of the CampusGRID microgrid. Keywords: Microgrid; DER; EMS; Smart Grid;

Optimal Sizing and Allocation of Distributed Energy Resources in Microgrids Considering Internal Network Reinforcements

“…CampusGrid is a real microgrid located at the main campus of the State University of Campinas (UNICAMP). The characteristics of the microgrid can be found at Quadros (2021). The proposed method was implemented using the mathematical programming language AMPL (Fourer et al, 1990), and all MILP problems were solved using CPLEX [44].…”

“…MILP formulations are more advantageous than other optimization methods because global optimally is guaranteed, they have a flexible and extendable structure, and optimization algorithms used to solve MILP problems are well established by computer science (Babaeia et al, 2020). Finally, the characteristics of the real university campus microgrid named CampusGrid (Quadros, 2021), located at the State University of Campinas (UNICAMP) in São Paulo, Brazil, have been used to assess the effectiveness of the proposed optimization method.…”

Design and Implementation of a Machine Learning State Estimation Model for Unobservable Microgrids

“…A detailed model of each circuit component was necessary to accurately represent the microgrid's response to different scenarios. To overcome this challenge, the University of Campinas (UNICAMP) is currently deploying a project [35] to study and develop specialized models in the field of (i) power systems, (ii) renewable energy sources, (iii) power electronics, (iv) control systems, (v) optimization, and (vi) communications and information networks. A microgrid system modeled in OpenDSS with those specialized components was employed to perform this study.…”

“…A real-world AC microgrid located at the main campus of the State University of Campinas (UNICAMP), in São Paulo, Brazil [35], with 320 state variables (V i,p and θ i,p ) and 198 measurements (P i,p , Q i,p , I i,p ) was modeled using OpenDSS [34], and the poposed MLSE via the workflow in Fig. 5 programmed in Python 3.8 [63].…”

“…1 [35]. The performance and accuracy of the proposed MLSE is analyzed during grid-connected and islanded operation modes with noisy measurements, each with a different signal-to-noise ratio (SNR).…”