Real Time Simulation of a DC Microgrid With Control Schemes for Power Management and Voltage Stabilization

2015 ◽  
Author(s):  
Mahesh Kumar ◽  
S. C. Srivastava ◽  
S. N. Singh
Keyword(s):  
Real Time ◽  
Power Management ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Dc Microgrid ◽  
Control Schemes ◽  
Real Time Digital Simulator ◽  
And Performance ◽  
Battery Energy

The concept of a DC Microgrid (DCMG) is a promising option to integrate various non-conventional energy resources in islanded and grid connected modes. The DCMG proposed in this work consists of renewable energy sources, battery energy storage system, and various loads. The control schemes, proposed by the authors in [1], [2], have been utilized for the power management and maintaining the DC grid voltage under different operating scenario, including fault conditions. Before physical installation of the DCMG, it is necessary to simulate it in the real time environment to evaluate its performance. This paper presents the testing, validation, and performance evaluation of the proposed DCMG on Real Time Digital Simulator (RTDS).

Control of BESS Using Frequency-Linked Pricing with High Wind Penetration

2014 ◽  
Vol 511-512 ◽  
pp. 1099-1102
Author(s):  
Zhen Bao Sun
Keyword(s):  
Wind Speed ◽  
Real Time ◽  
Wind Power ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Test System ◽  
High Wind ◽  
Battery Energy ◽  
The Impact

Recently, many countries have been pushing for a higher share of renewable energy sources, especially wind, in their generation mix. However, the intermittent and uncertain nature of wind power imposes a limit on the extent it can replace the conventional generation resources. In a high wind penetration scenario, the Battery Energy Storage System (BESS) offers a solution to the grid operation problems. The purpose of this paper is to evaluate the merits of price-based operation of BESS in a real-time market with high wind penetration using frequency-linked pricing. The authors propose a real-time market in which real-time prices are based on the grid frequency. A model for real-time price-based operation of a conventional generator and a BESS is presented. Simulations for different wind penetration scenarios are carried out on an isolated area test system. Wind speed sequence is generated using composite wind speed model. A simplified model of wind speed to power conversion is adopted to observe the impact of increase in wind power generation on the grid frequency and the real-time prices.

scholarly journals Practical Analysis and Design of a Battery Management System for a Grid-Connected DC Microgrid for the Reduction of the Tariff Cost and Battery Life Maximization

Energies ◽  
2018 ◽  
Vol 11 (7) ◽  
pp. 1889 ◽  
Author(s):  
Robert Salas-Puente ◽  
Silvia Marzal ◽  
Raul Gonzalez-Medina ◽  
Emilio Figueres ◽  
Gabriel Garcera
Keyword(s):  
Power Management ◽  
Storage System ◽  
Energy Storage System ◽  
Battery Life ◽  
Battery Management System ◽  
Battery Management ◽  
Dc Microgrid ◽  
Analysis And Design ◽  
Power Management Strategy ◽  
Battery Energy

This study is focused on two areas: the design of a Battery Energy Storage System (BESS) for a grid-connected DC Microgrid and the power management of that microgrid. The power management is performed by a Microgrid Central Controller (MGCC). A Microgrid operator provides daily information to the MGCC about the photovoltaic generation profile, the load demand profile, and the real-time prices of the electricity in order to plan the power interchange between the BESS and the main grid, establishing the desired state of charge (SOC) of the batteries at any time. The main goals of the power management strategy under study are to minimize the cost of the electricity that is imported from the grid and to maximize battery life by means of an adequate charging procedure, which sets the charging rate as a function of the MG state. Experimental and simulation results in many realistic scenarios demonstrate that the proposed methodology achieves a proper power management of the DC microgrid.

Power management of energy storage system with modified interlinking converters topology in hybrid AC/DC microgrid

2021 ◽  
Vol 130 ◽  
pp. 106880
Author(s):  
João Pedro Carvalho Silveira ◽  
Pedro José dos Santos Neto ◽  
Tárcio Andre dos Santos Barros ◽  
Ernesto Ruppert Filho
Keyword(s):  
Energy Storage ◽  
Power Management ◽  
Storage System ◽  
Energy Storage System ◽  
Dc Microgrid

scholarly journals Adequacy Assessment of Wind Integrated Generating Systems Incorporating Demand Response and Battery Energy Storage System

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2649 ◽  
Author(s):  
Jiashen Teh
Keyword(s):  
Energy Storage ◽  
Demand Response ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Peak Load ◽  
Energy Storage System ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy ◽  
Generating System

The demand response and battery energy storage system (BESS) will play a key role in the future of low carbon networks, coupled with new developments of battery technology driven mainly by the integration of renewable energy sources. However, studies that investigate the impacts of BESS and its demand response on the adequacy of a power supply are lacking. Thus, a need exists to address this important gap. Hence, this paper investigates the adequacy of a generating system that is highly integrated with wind power in meeting load demand. In adequacy studies, the impacts of demand response and battery energy storage system are considered. The demand response program is applied using the peak clipping and valley filling techniques at various percentages of the peak load. Three practical strategies of the BESS operation model are described in this paper, and all their impacts on the adequacy of the generating system are evaluated. The reliability impacts of various wind penetration levels on the generating system are also explored. Finally, different charging and discharging rates and capacities of the BESS are considered when evaluating their impacts on the adequacy of the generating system.

scholarly journals Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods

Forecasting ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 663-681
Author(s):  
Alfredo Nespoli ◽  
Andrea Matteri ◽  
Silvia Pretto ◽  
Luca De De Ciechi ◽  
Emanuele Ogliari
Keyword(s):  
Power Generation ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Plant ◽  
Unsupervised Clustering ◽  
Clustering Methods ◽  
Pv System ◽  
Feasible Solutions ◽  
Battery Energy

The increasing penetration of Renewable Energy Sources (RESs) in the energy mix is determining an energy scenario characterized by decentralized power production. Between RESs power generation technologies, solar PhotoVoltaic (PV) systems constitute a very promising option, but their production is not programmable due to the intermittent nature of solar energy. The coupling between a PV facility and a Battery Energy Storage System (BESS) allows to achieve a greater flexibility in power generation. However, the design phase of a PV+BESS hybrid plant is challenging due to the large number of possible configurations. The present paper proposes a preliminary procedure aimed at predicting a family of batteries which is suitable to be coupled with a given PV plant configuration. The proposed procedure is applied to new hypothetical plants built to fulfill the energy requirements of a commercial and an industrial load. The energy produced by the PV system is estimated on the basis of a performance analysis carried out on similar real plants. The battery operations are established through two decision-tree-like structures regulating charge and discharge respectively. Finally, an unsupervised clustering is applied to all the possible PV+BESS configurations in order to identify the family of feasible solutions.

scholarly journals A Multi-Input-Port Bidirectional DC/DC Converter for DC Microgrid Energy Storage System Applications

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2810
Author(s):  
Binxin Zhu ◽  
Hui Hu ◽  
Hui Wang ◽  
Yang Li
Keyword(s):  
Energy Storage ◽  
Storage System ◽  
Energy Storage System ◽  
Input Port ◽  
Dc Microgrid ◽  
Working Principle ◽  
And Performance ◽  
Storage Batteries ◽  
Voltage Conversion ◽  
Switch Voltage

A multi-input-port bidirectional DC/DC converter is proposed in this paper for the energy storage systems in DC microgrid. The converter can connect various energy storage batteries to the DC bus at the same time. The proposed converter also has the advantages of low switch voltage stress and high voltage conversion gain. The working principle and performance characteristics of the converter were analyzed in detail, and a 200 W, two-input-port experimental prototype was built. The experimental results are consistent with the theoretical analysis.

scholarly journals Real-Time Energy Management for a Small Scale PV-Battery Microgrid: Modeling, Design, and Experimental Verification

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2712 ◽  
Author(s):  
Mahmoud Elkazaz ◽  
Mark Sumner ◽  
David Thomas
Keyword(s):  
Energy Storage ◽  
Real Time ◽  
Energy Management ◽  
Storage System ◽  
Reference Value ◽  
Energy Storage System ◽  
Small Scale ◽  
Battery Energy Storage System ◽  
Battery Energy Storage ◽  
Battery Energy

A new energy management system (EMS) is presented for small scale microgrids (MGs). The proposed EMS focuses on minimizing the daily cost of the energy drawn by the MG from the main electrical grid and increasing the self-consumption of local renewable energy resources (RES). This is achieved by determining the appropriate reference value for the power drawn from the main grid and forcing the MG to accurately follow this value by controlling a battery energy storage system. A mixed integer linear programming algorithm determines this reference value considering a time-of-use tariff and short-term forecasting of generation and consumption. A real-time predictive controller is used to control the battery energy storage system to follow this reference value. The results obtained show the capability of the proposed EMS to lower the daily operating costs for the MG customers. Experimental studies on a laboratory-based MG have been implemented to demonstrate that the proposed EMS can be implemented in a realistic environment.

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