Optimization of grid energy using demand and source side management for DC microgrid (original) (raw)
Related papers
This paper presents an optimization of grid energy using a supervisory control and data acquisition (SCADA) system for DC microgrids including distributed energy resources and residential building. The proposed system is mainly focused on distributed energy resources (DERs) for source side management (SSM) and demand side management (DSM). A SSM agent performs cheaper (less emission) source selection based on the microgrid demand. The real time scheduling updates the power settings of DERs and generates the electricity prices of the microgrid, whereas a DSM agent performs load shifting in real time, based on microgrid prices, level of stored energy in the appliance, and latest start time. The incorporation of SCADA provides the common communication for all components of the microgrid to interconnect with the control room via wireless smart sensors to update the power setting. Furthermore, the use of SSM maximizes the use of DERs and optimizes the power exchange between utility and the microgrid subjected to the system and DER constraints. The simulation results show a reduction in the peak demand and electricity bill of the building. Moreover, the obtained results show that the size of the energy storage and the power losses with the adaptive load are small as compared to the non-adaptive load. Published by AIP Publishing. [http://dx.doi.org/10.1063/1.4984619\]
Demand-Side Management System for Autonomous DC Microgrid for Building
This paper proposes a new demand-side management (DSM) scheme for the autonomous DC microgrid for the future building. The DC distribution system is considered as a prospective system due to the increase of DC loads and DC power sources such as photovoltaic (PV), and battery bank (BB). The BB responds to the changes in a power imbalance between PV generation and demand within an autonomous DC microgrid. The power loss during charg-ing/discharging of the battery is the great challenge for the autonomous DC microgrid supplied by PV. It decreases the system efficiency. The control objective of the proposed DSM scheme is to use the PV energy more efficiently. The proposed control algorithm shifts the deferrable load from non-sunny hours to sunny hours and decreases the building demand during non-sunny hours. In this way it decreases the charging/discharging cycles of the batteries. This is reducing the power losses in the battery and improves system efficiency. The proposed scheme reduces the size of the PV plant, storage and capital cost of the system. The results showing a clear shifting of the load so that to get significant reduction in the system cost which is given numerically as percentatge saving.
A Case Study on Optimization of Renewable Energy Sources for DC Microgrid
International Journal of Research, 2019
Nowadays Renewable Energy plays a great role in power system around the world. It is a demanding task to integrate the renewable energy resources into the power grid .The integration of the renewable resources use the communication systems as the key technology, which play exceedingly important role in monitoring, operating, and protecting both renewable energy generators and power systems. This paper presents about the integration of renewable energy mainly focused on wind and solar to the grid.
Control Strategies in Dc Microgrid Environment
Microgrids are changing the traditional approach of addressing energy demands in a variety of communities and businesses. They open up new paths to a carbon-free, dependable, and resilient electric system. DC Microgrids are becoming more prevalent as power electronic converter technology advances. Today and in the future, higher fuel prices, deregulation, and environmental constraints present more opportunities for the use of renewable energy sources (RES) in power systems. A micro grid idea is necessary to integrate renewable energy sources into the electrical system. As a result, this proposed system has a micro grid control mechanism involving solar (PV), battery energy storage systems (BESS)and wind. To begin, voltage control alternatives for an island micro grid are investigated using hierarchical control approaches. Furthermore, the cost and electricity generated by renewable sources are calculated. Finally, this study presents an energy management system for micro grid functioning. In grid-connected mode, MATLAB and Arduino programming are used to find the lowest cost of electricity generation and power availability. The simulation results indicate that the suggested solutions are close to being accurate and efficient. The corresponding hardware model has been implemented.
A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications
Energies
The fast depletion of fossil fuels and the growing awareness of the need for environmental protection have led us to the energy crisis. Positive development has been achieved since the last decade by the collective effort of scientists. In this regard, renewable energy sources (RES) are being deployed in the power system to meet the energy demand. The microgrid concept (AC, DC) is introduced, in which distributed energy resources (DERs), the energy storage system (ESS) and loads are interconnected. DC microgrids are appreciated due to their high efficiency and reliability performance. Despite its significant growth, the DC microgrid is still relatively novel in terms of grid architecture and control systems. In this context, an energy management system (EMS) is essential for the optimal use of DERs in secure, reliable, and intelligent ways. Therefore, this paper strives to shed light on DC microgrid architecture, control structure, and EMS. With an extensive literature survey on EMS...
Intelligent Energy Management System for PV-Battery-based Microgrids in Future DC Homes
This paper presents a novel intelligent energy management system (IEMS) for a DC microgrid connected to the public utility (PU), photovoltaic (PV) and multi-battery bank (BB). The control objectives of the proposed IEMS system are: (i) to ensure the load sharing (according to the source capacity) among sources, (ii) to reduce the power loss (high efficient) in the system, and (iii) to enhance the system reliability and power quality. The proposed IEMS is novel because it follows the ideal characteristics of the battery (with some assumptions) for the power sharing and the selection of the closest source to minimize the power losses. The IEMS allows continuous and accurate monitoring with intelligent control of distribution system operations such as battery bank energy storage (BBES) system, PV system and customer utilization of electric power. The proposed IEMS gives the better operational performance for operating conditions in terms of load sharing, loss minimization, and reliability enhancement of the DC microgrid.
Electronics, 2019
The grid-connected operation of the distributed generation (DG) via the direct current (DC) microgrid is the operation mode of the DC power distribution system in the future. Considering the grid-connected operation of multiple DC microgrids, we have proposed a new type of DC power distribution management system aiming at the lowest operating cost of the entire DC power distribution system. Our proposed DC power distribution management system can be used to carry out the optimized dispatching for the connected DC microgrids, thereby achieving the economic, safe, and stable operation of DC power distribution management systems. At the same time, through the different nodes where the modular multilevel converter (MMC) is connected to the alternating current (AC) distribution network, a DC power distribution management system can control the active and reactive power generated by the MMC, achieving the control of the load flow of the upper-stage AC grids in real time. The example simul...