scholarly journals Microgrid Energy Management System for Residential Microgrid Using an Ensemble Forecasting Strategy and Grey Wolf Optimization

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8489
Author(s):  
Usman Bashir Tayab ◽  
Junwei Lu ◽  
Seyedfoad Taghizadeh ◽  
Ahmed Sayed M. Metwally ◽  
Muhammad Kashif
Keyword(s):  
Energy Management ◽  
Management System ◽  
Ensemble Forecasting ◽  
Small Scale ◽  
Energy Management System ◽  
Grey Wolf ◽  
Grey Wolf Optimization ◽  
Scheduling Strategy ◽  
Load Demand ◽  
Microgrid Energy Management

Microgrid (MG) is a small-scale grid that consists of multiple distributed energy resources and load demand. The microgrid energy management system (M-EMS) is the decision-making centre of the MG. An M-EMS is composed of four modules which are known as forecasting, scheduling, data acquisition, and human-machine interface. However, the forecasting and scheduling modules are considered the major modules from among the four of them. Therefore, this paper proposed an advanced microgrid energy management system (M-EMS) for grid-connected residential microgrid (MG) based on an ensemble forecasting strategy and grey wolf optimization (GWO) based scheduling strategy. In the forecasting module of M-EMS, the ensemble forecasting strategy is proposed to perform the short-term forecasting of PV power and load demand. The GWO based scheduling strategy has been proposed in scheduling module of M-EMS to minimize the operating cost of grid-connected residential MG. A small-scale experiment is conducted using Raspberry Pi 3 B+ via the python programming language to validate the effectiveness of the proposed M-EMS and real-time historical data of PV power, load demand, and weather is adopted as inputs. The performance of the proposed forecasting strategy is compared with ensemble forecasting strategy-1, particle swarm optimization based artificial neural network, and back-propagation neural network. The experimental results highlight that the proposed forecasting strategy outperforms the other strategies and achieved the lowest average value of normalized root mean square error of day-ahead prediction of PV power and load demand for the chosen day. Similarly, the performance of GWO based scheduling strategy of M-EMS is analyzed and compared for three different scenarios. Finally, the experimental results prove the outstanding performance of the proposed scheduling strategy.

scholarly journals A Three-Stage Coordinated Optimization Scheduling Strategy for a CCHP Microgrid Energy Management System

Processes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 245
Author(s):  
Yan Xu ◽  
Zhao Luo ◽  
Zhendong Zhu ◽  
Zhiyuan Zhang ◽  
Jinghui Qin ◽  
...  
Keyword(s):  
Energy Management ◽  
Management System ◽  
High Efficiency ◽  
Load Forecasting ◽  
Energy Management System ◽  
Scheduling Strategy ◽  
Coordinated Optimization ◽  
Scheduling Plan ◽  
Microgrid Energy Management ◽  
Optimization Scheduling

With renewable generation resources and multiple load demands increasing, the combined cooling, heating, and power (CCHP) microgrid energy management system has attracted much attention due to its high efficiency and low emissions. In order to realize the integration of substation resources and solve the problems of inaccurate, random, volatile and intermittent load forecasting, we propose a three-stage coordinated optimization scheduling strategy for a CCHP microgrid. The strategy contains three stages: a day-ahead economic scheduling stage, an intraday rolling optimization stage, and a real-time adjustment stage. Forecasting data with different accuracy at different time scales were used to carry out multilevel coordination and gradually improve the scheduling plan. A case study was used to verify that the proposed scheduling strategy can mitigate and eliminate the load forecasting error of renewable energy (for power balance and scheduling economy).

Design of Microgrid Energy Management System Based on LabVIEW

2014 ◽  
Vol 960-961 ◽  
pp. 1562-1566 ◽  
Author(s):  
Teng Yu Ge ◽  
Bu Han Zhang ◽  
Jun Li Wu ◽  
Bing Jie Jin ◽  
Shuang Zhao ◽  
...  
Keyword(s):  
Energy Management ◽  
Management System ◽  
Point Of View ◽  
System Structure ◽  
Energy Management System ◽  
Short Term ◽  
Optimization Management ◽  
Term Energy ◽  
Microgrid Energy Management

Microgrid can be applied in different locations, relative to traditional power technology. It can improve the reliability of users of electricity and power system operation. Distributed power in microgrid needs real-time and multi-objective optimization management. This paper discusses functions and structure of microgrid energy management system(MGEMS) when connected with the main grid. Problems in long-term and short-term energy management of microgrid are discussed. From the point of view of the software platform, the system structure of MGEMS software are proposed. On this basis, this paper discusses the way to construct modules of MGEMS and their functions.

Microgrid Energy Management System based ANN of the Two-Step Structure

2021 ◽  
Author(s):  
Tae-Gyu Kim ◽  
Hoon Lee ◽  
Chang-Gyun An ◽  
Kyung-Min Kang ◽  
Junsin Yi ◽  
...  
Keyword(s):  
Energy Management ◽  
Management System ◽  
Energy Management System ◽  
Step Structure ◽  
Microgrid Energy Management

scholarly journals Multi-Objective Fuzzy Logic-Based Energy Management System for Microgrids with Battery and Hydrogen Energy Storage System

Electronics ◽  
2020 ◽  
Vol 9 (7) ◽  
pp. 1074 ◽  
Author(s):  
Francisco José Vivas ◽  
Francisca Segura ◽  
José Manuel Andújar ◽  
Adriana Palacio ◽  
Jaime Luis Saenz ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Energy Storage ◽  
Energy Management ◽  
Management System ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Management System ◽  
Hydrogen Energy ◽  
Economic Point ◽  
Load Demand

This paper proposes a fuzzy logic-based energy management system (EMS) for microgrids with a combined battery and hydrogen energy storage system (ESS), which ensures the power balance according to the load demand at the time that it takes into account the improvement of the microgrid performance from a technical and economic point of view. As is known, renewable energy-based microgrids are receiving increasing interest in the research community, since they play a key role in the challenge of designing the next energy transition model. The integration of ESSs allows the absorption of the energy surplus in the microgrid to ensure power supply if the renewable resource is insufficient and the microgrid is isolated. If the microgrid can be connected to the main power grid, the freedom degrees increase and this allows, among other things, diminishment of the ESS size. Planning the operation of renewable sources-based microgrids requires both an efficient dispatching management between the available and the demanded energy and a reliable forecasting tool. The developed EMS is based on a fuzzy logic controller (FLC), which presents different advantages regarding other controllers: It is not necessary to know the model of the plant, and the linguistic rules that make up its inference engine are easily interpretable. These rules can incorporate expert knowledge, which simplifies the microgrid management, generally complex. The developed EMS has been subjected to a stress test that has demonstrated its excellent behavior. For that, a residential-type profile in an actual microgrid has been used. The developed fuzzy logic-based EMS, in addition to responding to the required load demand, can meet both technical (to prolong the devices’ lifespan) and economic (seeking the highest profitability and efficiency) established criteria, which can be introduced by the expert depending on the microgrid characteristic and profile demand to accomplish.

scholarly journals Secure Communication Modeling for Microgrid Energy Management System: Development and Application

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 68 ◽  
Author(s):  
Taha Selim Ustun ◽  
S. M. Suhail Hussain
Keyword(s):  
Energy Management ◽  
Management System ◽  
Secure Communication ◽  
Storage System ◽  
Distribution Networks ◽  
Cyber Attacks ◽  
Small Scale ◽  
Energy Management System ◽  
Sensitive Information ◽  
Active Components

As the number of active components increase, distribution networks become harder to control. Microgrids are proposed to divide large networks into smaller, more manageable portions. The benefits of using microgrids are multiple; the cost of installation is significantly smaller and renewable energy-based generators can be utilized at a small scale. Due to the intermittent and time dependent nature of renewables, to ensure reliable and continuous supply of energy, it is imperative to create a system that has several generators and storage systems. The way to achieve this is through an energy management system (EMS) that can coordinate all these generators with a storage system. Prior to on-site installation, validation studies should be performed on such controllers. This work presents a standardized communication modeling based on IEC 61850 that is developed for a commercial microgrid controller. Using commercial software, different terminals are set up as intelligent electronic devices (IEDs) and the operation of the EMS is emulated with proper message exchanges. Considering that these messages transmit sensitive information, such as financial transactions or dispatch instructions, securing them against cyber-attacks is very important. Therefore; message integrity, node authentication, and confidentiality features are also implemented according to IEC 62351 guidelines. Real-message exchanges are captured with and without these security features to validate secure operation of standard communication solution.

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