scholarly journals IoT-enabled Microgrid for Intelligent Energy-aware Buildings: A Novel Hierarchical Self-consumption Scheme with Renewables

Electronics ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 550 ◽  
Author(s):  
Yanpeng Wu ◽  
Ying Wu ◽  
Josep Guerrero ◽  
Juan Vasquez ◽  
Emilio Palacios-García ◽  
...  
Keyword(s):  
Renewable Energy ◽  
State Transition ◽  
Control Method ◽  
Balance Control ◽  
Supply And Demand ◽  
Building Blocks ◽  
Energy Aware ◽  
Layered Architecture ◽  
Intelligent Buildings ◽  
Transition Mechanism

This paper presents a novel hierarchical Internet of Things (IoT)-based scheme for Microgrid-Enabled Intelligent Buildings to achieve energy digitalization and automation with a renewable energy self-consumption strategy. Firstly, a hierarchical structure of Microgrid-Enabled Intelligent Buildings is designed to establish a two-dimensional fusion layered architecture for the microgrid to interact with the composite loads of buildings. The building blocks and functions of each layer are defined specifically. Secondly, to achieve transparent information fusion and interactive cooperation between the supply-side and demand-side, a state transition mechanism driven by a combination of time and events is proposed to activate the real-time and mutual response of generation and loads dynamically. Thirdly, based on the above hierarchical fusion structure and data-driven state transition mechanism, a power balance control algorithm driven by a self-consumption strategy is further proposed to achieve the autonomous balance of supply and demand. Finally, the IoT Microgrid Laboratory at Aalborg University is introduced to show how to implement this novel hierarchical IoT-based scheme in a Microgrid-Enabled Intelligent Building, and the power consensus control method based on the state transition mechanism is verified to achieve a renewable energy self-consumption strategy.

scholarly journals Jump Linear Quadratic Control for Microgrids with Commercial Loads

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 4997
Author(s):  
Maryam Khanbaghi ◽  
Aleksandar Zecevic
Keyword(s):  
Renewable Energy ◽  
Large Scale ◽  
Power Grid ◽  
Supply And Demand ◽  
Optimal Solution ◽  
Real Data ◽  
Building Blocks ◽  
Performance Measure ◽  
Linear Quadratic ◽  
Local Generation

Due to the aging power-grid infrastructure and increased usage of renewable energies, microgrids (μGrids) have emerged as a promising paradigm. It is reasonable to expect that they will become one of the fundamental building blocks of a smart grid, since effective energy transfer and coordination of μGrids could help maintain the stability and reliability of the regional large-scale power-grid. From the control perspective, one of the key objectives of μGrids is load management using local generation and storage for optimized performance. Accomplishing this task can be challenging, however, particularly in situations where local generation is unpredictable both in quality and in availability. This paper proposes to address that problem by developing a new optimal energy management scheme, which meets the requirements of supply and demand. The method that will be described in the following models μGrids as a stochastic hybrid dynamic system. Jump linear theory is used to maximize storage and renewable energy usage, and Markov chain theory is applied to model the intermittent generation of renewable energy based on real data. Although the model itself is quite general, we will focus exclusively on solar energy, and will define the performance measure accordingly. We will demonstrate that the optimal solution in this case is a state feedback law with a piecewise constant gain. Simulation results are provided to illustrate the effectiveness of such an approach.

Research on a New Type of Lithium Battery String Equalization and Management System

2011 ◽  
Vol 383-390 ◽  
pp. 1470-1476
Author(s):  
Hao Wang ◽  
Ding Guo Shao ◽  
Lu Xu
Keyword(s):  
Lithium Batteries ◽  
Management System ◽  
Lithium Battery ◽  
Large Scale ◽  
Control Method ◽  
Balance Control ◽  
Industrial Applications ◽  
Control Technique ◽  
New Type ◽  
Management Functions

Lithium battery has been employed widely in many industrial applications. Parameter mismatches between lithium batteries along a series string is the critical limits of the large-scale applications in high power situation. Maintaining equalization between batteries is the key technique in lithium batteries application. This paper summarizes normal equalization techniques and proposed a new type of lithium Battery Equalization and Management System (BEMS) employing the isolated DC-DC converter structure. The system is integrated both equalization functions and management functions by using distributed 3-level controlled structure and digital control technique. With this control method the flexibility of the balance control strategy and the compatibility for different battery strings are both improved dramatically. The experimental results show optimizing equalization, efficiency and the battery string life span has been extended.

Robust Control for Urban Living Water System with Seasonal Volatility

2013 ◽  
Vol 295-298 ◽  
pp. 1927-1930
Author(s):  
Ke Bai Li
Keyword(s):  
Water Management ◽  
Robust Control ◽  
Control Method ◽  
Supply And Demand ◽  
Water System ◽  
Management Model ◽  
State Variables ◽  
Urban Living ◽  
Target Value ◽  
Seasonal Volatility

Established urban living water management model. With capital and labor as state variables, using the pole assignment robust control method, realize the urban living water system supply and demand balance tending to target value.

scholarly journals Control method for the stable operation of distributed inverters following the introduction of large-scale renewable energy to a remote island grid

Clean Energy ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 196-207
Author(s):  
Shoichi Sato ◽  
Yasuhiro Noro
Keyword(s):  
Renewable Energy ◽  
Large Scale ◽  
Control Method ◽  
Synchronous Generator ◽  
Stable Operation ◽  
Battery Energy Storage Systems ◽  
Simulation Results ◽  
Battery Energy ◽  
Systems Simulation ◽  
Different Characteristics

Abstract The introduction of large-scale renewable energy requires a control system that can operate multiple distributed inverters in a stable way. This study proposes an inverter control method that uses information corresponding to the inertia of the synchronous generator to coordinate the operation of battery energy storage systems. Simulation results for a system with multiple inverters applying the control method are presented. Various faults such as line-to-line short circuits and three-phase line-to-ground faults were simulated. Two fault points with different characteristics were compared. The voltage, frequency and active power quickly returned to their steady-state values after the fault was eliminated. From the obtained simulation results, it was verified that our control method can be operated stably against various faults.

Flywheel energy storage systems and their applications in power engineering

2021 ◽  
Vol 6 ◽  
pp. 26-34
Author(s):  
Vladimir Poltavets ◽  
Irina Kolchanova
Keyword(s):  
Renewable Energy ◽  
Energy Storage ◽  
Storage Systems ◽  
Renewable Energy Sources ◽  
Supply And Demand ◽  
Electric Energy ◽  
Energy Generation ◽  
Flywheel Energy Storage ◽  
Energy Storage Systems ◽  
Continuous Growth

The continuous growth of renewable energy sources has drastically changed the paradigm of electric energy generation and distribution. Flywheel energy storage systems are a clean and efficient method to level supply and demand in energy grids, including those incorporating renewable energy generation. Environmental safety, resilience, high power capacity and quality make flywheel energy storage very promising. This paper contains a review of flywheel energy storage systems, already being in operation, and applications of flywheel energy storage in general.

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