scholarly journals OptiMEMS: An Adaptive Lightweight Optimal Microgrid Energy Management System Based on the Novel Virtual Distributed Energy Resources in Real-Life Demonstration

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2752
Author(s):  
Angelina D. Bintoudi ◽  
Lampros Zyglakis ◽  
Apostolos C. Tsolakis ◽  
Paschalis A. Gkaidatzis ◽  
Athanasios Tryferidis ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Smart Grids ◽  
Real Life ◽  
Building Blocks ◽  
Optimal Scheduling ◽  
Storage Unit ◽  
Time Operation ◽  
Real Time Operation ◽  
Pv Generation

As microgrids have gained increasing attention over the last decade, more and more applications have emerged, ranging from islanded remote infrastructures to active building blocks of smart grids. To optimally manage the various microgrid assets towards maximum profit, while taking into account reliability and stability, it is essential to properly schedule the overall operation. To that end, this paper presents an optimal scheduling framework for microgrids both for day-ahead and real-time operation. In terms of real-time, this framework evaluates the real-time operation and, based on deviations, it re-optimises the schedule dynamically in order to continuously provide the best possible solution in terms of economic benefit and energy management. To assess the solution, the designed framework has been deployed to a real-life microgrid establishment consisting of residential loads, a PV array and a storage unit. Results demonstrate not only the benefits of the day-ahead optimal scheduling, but also the importance of dynamic re-optimisation when deviations occur between forecasted and real-time values. Given the intermittency of PV generation as well as the stochastic nature of consumption, real-time adaptation leads to significantly improved results.

scholarly journals Smart Sensors for Smart Grid Reliability

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2187 ◽  
Author(s):  
Monica Alonso ◽  
Hortensia Amaris ◽  
Daniel Alcala ◽  
Diana M. Florez R.
Keyword(s):  
Smart Grid ◽  
Real Time ◽  
Smart Grids ◽  
Short Circuit ◽  
Test System ◽  
Smart Sensors ◽  
Smart Sensor ◽  
Protection Scheme ◽  
Time Operation ◽  
Real Time Operation

Sensors for monitoring electrical parameters over an entire electricity network infrastructure play a fundamental role in protecting smart grids and improving the network’s energy efficiency. When a short circuit takes place in a smart grid it has to be sensed as soon as possible to reduce its fault duration along the network and to reduce damage to the electricity infrastructure as well as personal injuries. Existing protection devices, which are used to sense the fault, range from classic analog electro-mechanics relays to modern intelligent electronic devices (IEDs). However, both types of devices have fixed adjustment settings (offline stage) and do not provide any coordination among them under real-time operation. In this paper, a new smart sensor is developed that offers the capability to update its adjustment settings during real-time operation, in coordination with the rest of the smart sensors spread over the network. The proposed sensor and the coordinated protection scheme were tested in a standard smart grid (IEEE 34-bus test system) under different short circuit scenarios and renewable energy penetration. Results suggest that the short-circuit fault sensed by the smart sensor is improved up to 80% and up to 64% compared with analog electromechanics relays and IEDs, respectively.

Real Time Operation of Smart Grids via FCN Networks and Optimal Power Flow

2012 ◽  
Vol 8 (4) ◽  
pp. 944-952 ◽  
Author(s):  
Pierluigi Siano ◽  
Carlo Cecati ◽  
Hao Yu ◽  
Janusz Kolbusz
Keyword(s):  
Real Time ◽  
Smart Grids ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Optimal Power ◽  
Time Operation ◽  
Real Time Operation

Control Architecture for Optimal Real-Time Operation of Smart Grids

2012 ◽  
Vol 18 (1) ◽  
pp. 137-140 ◽  
Author(s):  
John G. Vlachogiannis ◽  
Kwang Y. Lee
Keyword(s):  
Real Time ◽  
Smart Grids ◽  
Control Architecture ◽  
Time Operation ◽  
Real Time Operation

Distributed Optimization and Control of Microgrid Considering Environmental Protection and Stability

2013 ◽  
Vol 732-733 ◽  
pp. 1297-1302
Author(s):  
Yu Chen Hao ◽  
Xiao Bo Dou ◽  
Zai Jun Wu ◽  
Min Qiang Hu ◽  
Tao Li ◽  
...  
Keyword(s):  
Environmental Protection ◽  
Real Time ◽  
Control Strategy ◽  
Distributed Optimization ◽  
Stability Control ◽  
Optimal Scheduling ◽  
Time Operation ◽  
Real Time Operation ◽  
Optimization And Control ◽  
And Control

In order to reduce pollutant emissions to improve environmental protection, and maintain microgrid stability during real-time operation, a distributed energy optimization scheduling and stability control strategy was proposed. According to the distributed nature of the microgrid, as well as operational objectives of different microsources, an optimal scheduling model for microgrid environmental protection was designed. Based on the proposed model, the tasks of each unit in optimal scheduling and stability control were described. Genetic algorithm (GA) and user datagram protocol (UDP) were used to implement distributed optimization and control of the microgrid. The simulation indicates that, compared with the traditional centralized optimization and control, the proposed distributed optimization and control strategy can clearly show the characteristics of each unit, and have a faster computation speed. Meanwhile, it can timely response once the voltage fluctuates due to power imbalance, so as to keep microgrid stability in real-time operation.

scholarly journals Comparison of Two Energy Management System Strategies for Real-Time Operation of Isolated Hybrid Microgrids

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6770
Author(s):  
Luis Santiago Azuara-Grande ◽  
Santiago Arnaltes ◽  
Jaime Alonso-Martinez ◽  
Jose Luis Rodriguez-Amenedo
Keyword(s):  
Power Systems ◽  
Real Time ◽  
Energy Management ◽  
Management System ◽  
Optimization Criterion ◽  
Optimal Operation ◽  
Energy Management System ◽  
Correct Operation ◽  
Time Operation ◽  
Real Time Operation

The propagation of hybrid power systems (solar–diesel–battery) has led to the development of new energy management system (EMS) strategies for the effective management of all power generation technologies related to hybrid microgrids. This paper proposes two novel EMS strategies for isolated hybrid microgrids, highlighting their strengths and weaknesses using simulations. The proposed strategies are different from the EMS strategies reported thus far in the literature because the former enable the real-time operation of the hybrid microgrid, which always guarantees the correct operation of a microgrid. The priority EMS strategy works by assigning a priority order, while the optimal EMS strategy is based on an optimization criterion, which is set as the minimum marginal cost in this case. The results have been obtained using MATLAB/Simulink to verify and compare the effectiveness of the proposed strategies, through a dynamic microgrid model to simulate the conditions of a real-time operation. The differences in the EMS strategies as well as their individual strengths and weaknesses, are presented and discussed. The results show that the proposed EMS strategies can manage the system operation under different scenarios and help power system operator obtain the optimal operation schemes of the microgrid.

scholarly journals An Optimal Energy Management System for Real-Time Operation of Multiagent-Based Microgrids Using a T-Cell Algorithm

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 3004 ◽  
Author(s):  
Fatima Zahra Harmouch ◽  
Ahmed F. Ebrahim ◽  
Mohammad Mahmoudian Esfahani ◽  
Nissrine Krami ◽  
Nabil Hmina ◽  
...  
Keyword(s):  
T Cell ◽  
Real Time ◽  
Energy Management ◽  
Management System ◽  
Normal Operation ◽  
Optimum Operating ◽  
Energy Management System ◽  
The Real ◽  
Time Operation ◽  
Real Time Operation

The real-time operation of the energy management system (RT-EMS) is one of the vital functions of Microgrids (MG). In this context, the reliability and smooth operation should be maintained in real time regardless of load and generation variations and without losing the optimum operation cost. This paper presents a design and implementation of a RT-EMS based on Multiagent system (MAS) and the fast converging T-Cell algorithm to minimize the MG operational cost and maximize the real-time response in grid-connected MG. The RT-EMS has the main function to ensure the energy dispatch between the distributed generation (DG) units that consist in this work on a wind generator, solar energy, energy storage units, controllable loads and the main grid. A modular multi-agent platform is proposed to implement the RT-EMS. The MAS has features such as peer-to-peer communication capability, a fault-tolerance structure, and high flexibility, which make it convenient for MG context. Each component of the MG has its own managing agent. While, the MG optimizer (MGO) is the agent responsible for running the optimization and ensuring the seamless operation of the MG in real time, the MG supervisor (MGS) is the agent that intercepts sudden high load variations and computes the new optimum operating point. In addition, the proposed RT-EMS develops an integration of the MAS platform with the Data Distribution Service (DDS) as a middleware to communicate with the physical units. In this work, the proposed algorithm minimizes the cost function of the MG as well as maximizes the use of renewable energy generation; Then, it assigns the power reference to each DG of the MG. The total time delay of the optimization and the communication between the EMS components were reduced. To verify the performance of our proposed system, an experimental validation in a MG testbed were conducted. Results show the reliability and the effectiveness of the proposed multiagent based RT-EMS. Various scenarios were tested such as normal operation as well as sudden load variation. The optimum values were obtained faster in terms of computation time as compared to existing techniques. The latency from the proposed system was 43% faster than other heuristic or deterministic methods in the literature. This significant improvement makes this proposed system more competitive for RT applications.

scholarly journals Real-time operation of a centralized Energy Management System for an islanded Microgrid

2018 ◽  
Vol 1 ◽  
pp. 304-309
Author(s):  
A. Peña Asensio ◽  
◽  
S. Arnaltes Gómez ◽  
J.L. Rodriguez-Amenedo ◽  
M. Garcia-Plaza ◽  
...  
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Management System ◽  
Energy Management System ◽  
Time Operation ◽  
Real Time Operation ◽  
Islanded Microgrid

scholarly journals Home Energy Management for Community Microgrids Using Optimal Power Sharing Algorithm

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1060
Author(s):  
Md Mamun Ur Rashid ◽  
Majed A. Alotaibi ◽  
Abdul Hasib Chowdhury ◽  
Muaz Rahman ◽  
Md. Shafiul Alam ◽  
...  
Keyword(s):  
Energy Storage ◽  
Real Time ◽  
Energy Management ◽  
Cost Minimization ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Power Sharing ◽  
Optimal Power ◽  
Time Operation ◽  
Home Energy Management

From a residential point of view, home energy management (HEM) is an essential requirement in order to diminish peak demand and utility tariffs. The integration of renewable energy sources (RESs) together with battery energy storage systems (BESSs) and central battery storage system (CBSS) may promote energy and cost minimization. However, proper home appliance scheduling along with energy storage options is essential to significantly decrease the energy consumption profile and overall expenditure in real-time operation. This paper proposes a cost-effective HEM scheme in the microgrid framework to promote curtailing of energy usage and relevant utility tariff considering both energy storage and renewable sources integration. Usually, the household appliances have different runtime preferences and duration of operation based on user demand. This work considers a simulator designed in the C++ platform to address the domestic customer’s HEM issue based on usages priorities. The positive aspects of merging RESs, BESSs, and CBSSs with the proposed optimal power sharing algorithm (OPSA) are evaluated by considering three distinct case scenarios. Comprehensive analysis of each scenario considering the real-time scheduling of home appliances is conducted to substantiate the efficacy of the outlined energy and cost mitigation schemes. The results obtained demonstrate the effectiveness of the proposed algorithm to enable energy and cost savings up to 37.5% and 45% in comparison to the prevailing methodology.

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