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- 摘要
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- 实验方案
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Battery lifetime enhancement via smart hybrid energy storage plug-in module in standalone photovoltaic power system
摘要： Standalone photovoltaic power system is one of the feasible solutions in rural electri?cation. However, due to the intermittent nature of solar energy and signi?cant demand variations due to small load size, energy storage devices are needed to ensure power quality and reliability. Lead-acid battery bank has been widely used in such systems to act as the intermediate bu?er to compensate the power mismatch between generation and demand, despite the poor lifetime characteristics and relatively short service life compared to other energy storage devices. Most charge controllers only provide basic battery charging functionality and prevent the battery bank from overcharging and deep-discharging. While other notable aging factors such as frequent charge-discharge transition, high C-rate and surge power are often neglected. This paper presents a smart hybrid energy storage plug-in module that aims to enhance the service life of Lead-acid battery in standalone photovoltaic-battery power systems by mitigating life-limiting factors such as current ?uctuations and surge current. This module is designed as a plug-in module that can be adopted directly in existing infrastructure in installed standalone PV-battery power system. The e?ectiveness of the proposed plug-in module in mitigating battery stresses is simulated in Matlab Simulink with actual solar irradiance data and estimated load pro?le for a rural community in Sarawak Malaysia. The simulation results are validated experimentally with the scaled-down photovoltaic-battery power system. The e?ectiveness in mitigating battery stress is quantitatively evaluated with battery health cost function, while the reduction in overall battery cost is analyzed and discussed.
关键词： Renewable energy,Hybrid energy storage system,Photovoltaic,Supercapacitor,Lead-acid battery,Li-ion battery
更新于2025-09-23 15:23:52
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Energy Management and Coordinated Control Strategy of PV/HESS AC Microgrid during Islanded Operation
摘要： An energy management control strategy is proposed for an islanded AC microgrid with the hybrid energy storage system (HESS) including the battery and the supercapacitor (SC). According to the state of charge(SOC) of the battery, the photovoltaic (PV) system can work in either maximum power point tracking (MPPT) mode or load power tracking (LPT) mode to prevent the battery from over charging. Similarly, the load shedding control (LSC) is adopted to prevent the battery from over discharging. A virtual impedance control strategy is proposed to achieve effective power sharing in hybrid energy storage systems, where battery provides steady state power and SC only supports transient power fluctuations. The terminal voltage of SC can be restored to the initial value automatically by introducing a high pass filter in the voltage control loop. The AC bus voltage maintains constant using the voltage secondary controller to compensate the voltage droop caused by the virtual impedance control strategy. Simulation results under typical working conditions verify the correctness and effectiveness of the proposed control strategy.
关键词： hybrid energy storage system (HESS),energy management,state of charge (SOC),Coordinated control,voltage restoration,islanded operation,virtual impedance
更新于2025-09-23 15:23:52
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[IEEE 2018 IEEE 21st International Multi-Topic Conference (INMIC) - Karachi, Pakistan (2018.11.1-2018.11.2)] 2018 IEEE 21st International Multi-Topic Conference (INMIC) - Optimum Unit Sizing of Stand-Alone PV-WT-Battery Hybrid System Components Using Jaya
摘要： Renewable energy sources (RESs) are considered as reliable and green electric power generations. Photovoltaic (PV) and wind turbine (WT) are used to provide electricity in remote areas. The optimum unit sizing of hybrid RESs components is a vital challenge in a stand-alone system. This paper presents Jaya algorithm for optimum unit sizing of a PV-WT-Battery hybrid system to fulfill the consumer’s load at minimal cost. The reliability of the system is considered by a maximum allowable loss of power supply probability (LP SPmax). The results obtained from the Jaya algorithm show that the PV-WT-Battery hybrid system is the most economical and cost-effective solution for all proposed LP SPmax values as compared to PV-Battery and WT-Battery systems.
关键词： Unit sizing,optimization,renewable energy sources,energy storage system,LPSP
更新于2025-09-23 15:23:52
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[IEEE 2018 4th International Conference on Renewable Energies for Developing Countries (REDEC) - Beirut, Lebanon (2018.11.1-2018.11.2)] 2018 4th International Conference on Renewable Energies for Developing Countries (REDEC) - Modeling, P&O MPPT and PI controls and performance analysis of PV/Energy storage hybrid power system
摘要： The variable nature of renewable energy sources, coupled with unpredictable changes in load, requires the simultaneous implementation of high power and high energy density storage systems. This work addresses dynamic modeling, a PV/Batteries/Ultra capacitor hybrid energy system connected to a DC load in a remote house located around the town of Rouyn Noranda (Quebec-Canada) during one day in winter period. The P&O MPPT control is used to extract the maximum power of a photovoltaic generator which is considered as the main energy source of the hybrid system. In this paper, batteries and ultra-capacitors (UC) are serving as an energy storage system (ESS) and a main source in winter period. The UC are used for facing high frequency variations of the load, such as in transient state, while the batteries are in charge of slow load/source variations. Classical control of battery current and ultra-capacitor current allows choosing the suitable storage element in order to face correctly the production/consummation variations. Classical PI control strategy is proposed in manner to stabilize the DC bus voltage by controlling the attached DC/DC bidirectional converters. Simulations during 00 AM to 3 PM (during a snowy day) are carried out using Matlab/Simulink which confirm the good performances of the hybrid system and associated control systems.
关键词： energy storage system,performance analysis,Photovoltaic,hybrid energy system
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE Energy Conversion Congress and Exposition (ECCE) - Portland, OR, USA (2018.9.23-2018.9.27)] 2018 IEEE Energy Conversion Congress and Exposition (ECCE) - Net Zero Energy Houses with Dispatchable Solar PV Power Supported by Electric Water Heater and Battery Energy Storage
摘要： Over a year, net zero energy (NZE) houses produce and feed zero net metered electrical energy to the grid. Technical challenges, notably the 'duck curve' arise due to the fact that peak solar generation and load demand are seldom coincident. Common approaches to mitigate this limitation include the curtailment of solar power, and the use of storage. Surplus solar energy may be stored in a battery, which can subsequently be discharged to supply the home electricity needs when demand is in excess. In addition to batteries, less expensive electric water heaters, which are ubiquitous, can be modified as energy storage systems, functioning as 'uni-directional batteries' by virtue of their high thermal mass. This paper proposes the use of a hybrid energy storage system including both batteries and variable power electric water heaters in NZE residences. It is demonstrated that the hybrid energy storage system along with solar PV generation coordinated and virtual power plant (VPP) controls would reduce the required battery size and ratings while still harvesting the maximum solar energy potential. The proposed control strategy enables the NZE homes to produce dispatchable power or behave like controllable loads, and benefits at the utility level are demonstrated by interconnection of NZE homes with an IEEE 13 node test feeder system. The technology has the potential to mitigate all issues related to solar power variability.
关键词： Net Zero Energy (NZE) Residences,Home Energy Management (HEM),Electrical Water Heater (EWH),Virtual Power Plant (VPP),Battery Energy Storage System (BESS)
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE Power & Energy Society General Meeting (PESGM) - Portland, OR, USA (2018.8.5-2018.8.10)] 2018 IEEE Power & Energy Society General Meeting (PESGM) - An Optimum Design of Hybrid Energy Storage for PV Power Fluctuation Smoothing Based on Frequency Analysis
摘要： Proper design of an energy storage system can effectively and economically smooth out the PV power fluctuation and improve the power quality. A frequency analysis based hybrid energy storage devices (ESDs) selection method as well as typical PV data selection method are proposed to determine an optimum energy storage combination to meet the requirement of a power grid. A Fast Fourier Transform (FFT) method is applied to analyze PV output power fluctuations. FFT is also applied to determine the most representative PV output data for the design cycle. The proposed algorithm divided the entire PV output power frequency spectrum into low and high ranges. The divisions are based on the characteristics of individual ESD’s as well as their cycle life and capacity loss. Through the proposed method, the lowest-cost ESD solution can be determined to meet the requirements to smooth out PV output fluctuation under the most representative weather pattern.
关键词： optimum sizing,PV system,PV output pattern selection,hybrid energy storage system,frequency analysis,power fluctuation smoothing
更新于2025-09-23 15:22:29
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[IEEE 2018 Power Systems Computation Conference (PSCC) - Dublin, Ireland (2018.6.11-2018.6.15)] 2018 Power Systems Computation Conference (PSCC) - Annual Evaluation of Supply-Demand with BESS Charging/Discharging Schedule and UC Updating Based on Intraday Forecasted PV Power Outputs
摘要： In recent years, photovoltaic (PV) systems have been installed in Japan at an accelerated rate. The application of PV generation forecasts and the utilization of energy storage devices in power system operation are essential to reduce supply–demand imbalances and enable the use of more PV energy without curtailment. In this paper, assuming extremely high PV generation after 2030, we focus on the coordinated operation of a battery energy storage system (BESS) and conventional power plants. We propose a method of determining and updating the BESS charging/discharging schedule and generator unit commitment based on the day-ahead and intraday PV generation forecasts. We present an evaluation of this method based on the results of numerical simulations conducted for one year on a bulk power system model to demonstrate the effectiveness with which it reduces energy shortfall and PV power curtailment.
关键词： power system,Battery energy storage system (BESS),photovoltaic (PV) generation,PV generation forecast,unit commitment (UC)
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE Power & Energy Society General Meeting (PESGM) - Portland, OR, USA (2018.8.5-2018.8.10)] 2018 IEEE Power & Energy Society General Meeting (PESGM) - A Comparison Study of Dispatching Various Battery Technologies in a Hybrid PV and Wind Power Plant
摘要： This paper presents a comparison study for various types of battery technologies using selected BESS parameters in a hybrid PV and wind power plant taking the aging of the batteries into account. The optimization problem was reformulated as a Mixed Integer Linear Programming (MILP) problem, with the aim being to minimize the overall operating cost. IBM CPLEX was used to solve the problem. For forecasting, two techniques, i.e., the persistence and Elman Neural Network, were applied for both day-ahead and hour-ahead forecasting. Moreover, four case studies were performed, including the scenario without battery, day-ahead dispatch, day-ahead dispatch with a rolling horizon and hour-ahead dispatch. The simulation results showed that hour-ahead dispatch demonstrated the highest profitability. Furthermore, among different battery technologies, lithium-ion batteries resulted in the highest operating profits, whereas lead-acid batteries had the shortest payback period and vanadium redox flow batteries demonstrated the least degradation from cycling.
关键词： Battery Energy Storage System,Hybrid PV and Wind Power Plant,Battery Scheduling,Forecasting Errors
更新于2025-09-23 15:22:29
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[IEEE 2018 IEEE Power & Energy Society General Meeting (PESGM) - Portland, OR, USA (2018.8.5-2018.8.10)] 2018 IEEE Power & Energy Society General Meeting (PESGM) - An Iterative Approach to Improve PV Hosting Capacity for a Remote Community
摘要： Remote communities are largely supplied by diesel generating plants. With weak grid and sparse communities over a large geographical area, photovoltaic distributed generation (PVDG) with battery energy storage systems (BESS) can be a viable alternative to grid upgrade while reducing dependence on fossil fuel based generation. This paper presents results of a research study for improving the hosting capacity of distribution systems in remote communities in the northwestern part of Canada. The proposed iterative approach seeks to exploit untapped potential of existing grid infrastructure along with the four-quadrant operation of BESS to maximize the feeder's hosting capacity. The proposed approach uses the headroom of overvoltage limit made available by several voltage regulators in the remote feeder to increase its hosting capacity by as much as 25%. Based on simulations with annual load profiles and site-specific PV generation profiles, it is shown that BESS can further improve the feeder hosting capacity by up to 60% with reactive power support. A comparison is also drawn between the options of grid-upgrade versus the use of BESS for improving hosting capacity. Three BESS technologies are compared with their cost metric for this application.
关键词： hosting capacity analysis,Battery energy storage system,photovoltaic distributed generation,step voltage regulators
更新于2025-09-23 15:22:29
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A Novel Multi-objective Dynamic Programming Optimization Method: Performance Management of a Solar Thermal Power Plant as a Case Study
摘要： Due to the intermittent nature of solar irradiance, solar power plants are usually equipped with energy storage systems. Suitable charge and discharge management of the storage systems can considerably help increase the reliability and profitability of the solar systems. In this regard, various optimization approaches, with their own strengths and limitations, have been employed by literature. Dynamic Programming (DP) is one of the fittest approaches for the wide range of engineering problems which exhibit the properties of overlapping sub-problems. DP is a simple, gradient-free, efficient, and deterministic optimization method that guarantees the optimal solution. However, this method has not been developed for multi-objective problems. This study develops a multi-objective DP method and employs it for the performance management of a solar power plant equipped with thermal energy storage system. “Daily electricity generation” and “daily revenue obtained from selling electricity” are considered to be the objective functions. The superiority of the developed method is shown through a comparison with one of the most commonly used multi-objective optimization approaches, NSGA-II. This comparison indicates that the multi-objective DP attains 3.0%- 7.5% greater values of electricity generation and 3.1%-12.6% higher values of revenue than NSGA-II, for the different levels of solar radiation.
关键词： Thermal Energy Storage System,Optimal Performance,Solar Thermal Power Plant,Multi-objective Dynamic Programming method
更新于2025-09-23 15:21:21