scholarly journals A New Energy Management Technique for PV/Wind/Grid Renewable Energy System

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Onur Ozdal Mengi ◽  
Ismail Hakki Altas

An intelligent energy management system (IEMS) for maintaining the energy sustainability in renewable energy systems (RES) is introduced here. It consists of wind and photovoltaic (PV) solar panels are established and used to test the proposed IEMS. Since the wind and solar sources are not reliable in terms of sustainability and power quality, a management system is required for supplying the load power demand. The power generated by RES is collected on a common DC bus as a renewable green power pool to be used for supplying power to loads. The renewable DC power bus is operated in a way that there is always a base power available for permanent loads. Then the additional power requirement is supplied from either wind or PV or both depending upon the availability of these power sources. The decision about operating these systems is given by an IEMS with fuzzy logic decision maker proposed in this study. Using the generated and required power information from the wind/PV and load sides, the fuzzy reasoning based IEMS determines the amount of power to be supplied from each or both sources. Besides, the IEMS tracks the maximum power operating point of the wind energy system.

2021 ◽  
Vol 56 (5) ◽  
pp. 798-804
Author(s):  
Jongdoc Park ◽  
Eisaku Oikawa ◽  
Masumi Fukuma ◽  
Hiroyuki Nagai ◽  
Toshihiro Tsutsui

Renewable energy (RE) is currently being used on a wide scale to meet the rising demand for energy, minimise pollution in environmental, and achieve sustainable social and economic benefits. This paper focuses on the design and development of EMS that can ensure the safe operation of island microgrids (MGs) in the event of possible imbalances between load demand and power generation. Energy management system (EMS) performs optimized calculations for the low priority loads that need to be shut down and the charging and discharging cycle of the batteries in the microgrid (MG). The non-linear model predictive control (NMPC) algorithm was selected to implement energy management system, which processes a data set consisting of power generation, load measurement, battery state of charge (SOC), and set of operating constraints. Energy management system was designed under assumption of installing Advanced Metering Infrastructure (AMI) in MG. Energy management system (EMS) was tested on a simulation platform that integrates a model of the microgrid (MG) component and its distributed controller (DC). The simulation results demonstrate the effectiveness of this method, because even when there is a fault in one of the distributed controllers, key variables such as the voltage and frequency amplitude of the microgrid (MG) will operate within a secured interval.


Land ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 682
Author(s):  
Zita Szabó ◽  
Viola Prohászka ◽  
Ágnes Sallay

Nowadays, in the context of climate change, efficient energy management and increasing the share of renewable energy sources in the energy mix are helping to reduce greenhouse gases. In this research, we present the energy system and its management and the possibilities of its development through the example of an ecovillage. The basic goal of such a community is to be economically, socially, and ecologically sustainable, so the study of energy system of an ecovillage is especially justified. As the goal of this community is sustainability, potential technological and efficiency barriers to the use of renewable energy sources will also become visible. Our sample area is Visnyeszéplak ecovillage, where we examined the energy production and consumption habits and possibilities of the community with the help of interviews, literature, and map databases. By examining the spatial structure of the settlement, we examined the spatial structure of energy management. We formulated development proposals that can make the community’s energy management system more efficient.


Sign in / Sign up

Export Citation Format

Share Document