Energy management strategy of battery in isolated micro-grid based on state of charge(SOC)

2014 ◽  
Author(s):  
Li Xin ◽  
Wang Dan ◽  
Zheng Tao ◽  
Chen Wei ◽  
Zhang Quanyou
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
State Of Charge ◽  
Energy Management Strategy ◽  
Micro Grid ◽  
Grid Based

scholarly journals A Verification of High-efficiency DC Micro-grid Power Systems with High-performance Power Converters and Energy Management Strategy

2014 ◽  
Vol 18 ◽  
pp. 47-52 ◽  
Author(s):  
Tomokazu Mishima ◽  
Ittetsu Taniguchi ◽  
Hisashi Tamaki ◽  
Youichi Kitagawa ◽  
Kouji Yutani ◽  
...  
Keyword(s):  
Power Systems ◽  
Energy Management ◽  
Management Strategy ◽  
High Performance ◽  
High Efficiency ◽  
Power Converters ◽  
Energy Management Strategy ◽  
Micro Grid

Energy Management System Research for Wind-PV-ES Hybrid Microgrid Based on Storage Battery

2013 ◽  
Vol 660 ◽  
pp. 139-145
Author(s):  
Lei Xue ◽  
Li Bin Wang ◽  
Zhi Gang Wang ◽  
Shu Ying Li
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
Mode Switching ◽  
Storage Battery ◽  
Energy Management Strategy ◽  
Hybrid Energy ◽  
Hybrid Microgrid ◽  
Flow Charts ◽  
Micro Grid ◽  
Bus Voltage

Energy management strategy is important to keep microgrid stable. In this paper, energy management strategy of Wind-PV-ES hybrid microgrid is proposed. Due to the power output of wind and PV are unknown quantities, the key point of Wind-PV-ES hybrid energy management lies in the energy management of storage battery. The flow charts of energy management strategy are given in detail and Wind-PV-ES microgrid model is built with DigSILENT/PowerFactory. Then the transition state simulation as to the micro-grid mode switching process is carried out. The result shows that the proposed energy management strategy could keep connected bus voltage and micro-grid frequency stable in grid-connected mode, islanding mode and during micro-grid mode switching.

scholarly journals Energy Management in PV Based Microgrids Designed for the Universidad Nacional de Colombia

2020 ◽  
Vol 12 (3) ◽  
pp. 1219 ◽  
Author(s):  
Luis Fernando Grisales-Noreña ◽  
Carlos Andrés Ramos-Paja ◽  
Daniel Gonzalez-Montoya ◽  
Gerardo Alcalá ◽  
Quetzalcoatl Hernandez-Escobedo
Keyword(s):  
Power Generation ◽  
Energy Storage ◽  
Energy Management ◽  
Management Strategy ◽  
State Of Charge ◽  
Photovoltaic System ◽  
Normal Operation ◽  
Energy Management Strategy ◽  
Dc Microgrid ◽  
Power Load

Stand-alone Electrical microgrids (MGs) require power management strategies to extend the life-time of their devices and to guarantee the global power balance of non-critical loads such as lighting of small sections of an university campus or individual air conditioning systems. This paper proposes an energy management strategy (EMS) for an isolated DC microgrid formed by a photovoltaic system (PVS), an energy storage system (battery), and a noncritical load. This configuration enables the photovoltaic system to control the power generation and ensures that the storage element does not exceed the safe limits of the state of charge. To control the generation of the photovoltaic system, two operating modes based on the perturb and observe (P&O) algorithm are implemented. The first one performs a maximum power point tracking (MPPT) action, while the second one regulates the power generated by the PVS to match the load requirement (power demand tracking, PDT). The management strategy also considers different operating states for ensuring the battery safety: normal operation, overcharge (at the maximum state of charge), and bulk charge (at the minimum state of charge); in those states the disconnection/connection of both the battery and the load is also considered. The main contribution of this work is to design and test a control strategy for an EMS aimed at regulating a standalone microgrid based on a PV system and an energy storage device. This solution is validated using detailed MG circuital simulations, which includes the PV source model (single-diode model), lithium-ion battery model, constant power load model and the DC/DC converters equations; moreover, realistic power generation and demand from Universidad Nacional de Colombia, located at Medellín-Colombia, are considered. The results obtained demonstrate the effectiveness of the energy management strategy, and in this way, enable to extend the battery lifetime and reduce the costs associated to the maintenance and disconnection of the microgrid in educational buildings or other applications focused on this type of DC microgrid.

scholarly journals Energy Management Strategy Implementation for Hybrid Electric Vehicles Using Genetic Algorithm Tuned Pontryagin’s Minimum Principle Controller

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Aishwarya Panday ◽  
Hari Om Bansal
Keyword(s):  
Genetic Algorithm ◽  
Energy Management ◽  
Management Strategy ◽  
Minimum Principle ◽  
Hybrid Vehicles ◽  
State Of Charge ◽  
Energy Management Strategy ◽  
Power Split ◽  
Hybrid Electric ◽  
State Of Charge Estimation

To reduce apace extraction of natural resources, to plummet the toxic emissions, and to increase the fuel economy for road transportation, hybrid vehicles are found to be promising. Hybrid vehicles use batteries and engine to propel the vehicle which minimizes dependence on liquid fuels. Battery is an important component of hybrid vehicles and is mainly characterized by its state of charge level. Here a modified state of charge estimation algorithm is applied, which includes not only coulomb counting but also open circuit voltage, weighting factor, and correction factor to track the run time state of charge efficiently. Further, presence of battery and engine together needs a prevailing power split scheme for their efficient utilization. In this paper, a fuel efficient energy management strategy for power-split hybrid electric vehicle using modified state of charge estimation method is developed. Here, the optimal values of various governing parameters are firstly computed with genetic algorithm and then fed to Pontryagin’s minimum principle to decide the threshold power at which engine is turned on. This process makes the proposed method robust and provides better chance to improve the fuel efficiency. Engine efficient operating region is identified to operate vehicle in efficient regions and reduce fuel consumption.

scholarly journals Cloud Model-Based Energy Management Strategy for Parallel Hybrid Vehicles

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Xiaolan Wu ◽  
Guifang Guo ◽  
Zhifeng Bai
Keyword(s):  
Energy Management ◽  
Management Strategy ◽  
Combustion Engine ◽  
Cloud Model ◽  
Hybrid Vehicles ◽  
State Of Charge ◽  
Energy Management Strategy ◽  
Control Scheme ◽  
Parallel Hybrid ◽  
Simulation Results

Using the uncertain conversion capacity between the expressions of quantitative and qualitative concept in the cloud model, an energy management strategy based on cloud model is developed for parallel hybrid vehicles (PHVs). By the driver input and the state of charge (SOC) of the energy storage, a set of rules are developed to effectively determine the torque split between the internal combustion engine (ICE) and the electric motor. An analysis of the simulation results is conducted using ADVISOR in order to verify the effectiveness of the proposed control strategy. It is confirmed that the control scheme can be used to improve fuel economy and emission of the hybrid vehicles.

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