Configuration Of Energy Storage System Research Articles

Sensitivity analysis of acquisition granularity of photovoltaic output power to capacity configuration of energy storage systems

Acquisition granularity and acquisition span are two important indexes to analyze the active power of renewable energy power stations, and it is important for the analysis of the intermittent energy output power to determine the acquisition granularity of the data. An acquisition granularity calibration method of the photovoltaic output power based on data mining technology is proposed in this paper. The sensitivity changing characteristics of the time series and the sum of the output power are respectively extracted by the multi-scale descriptive statistical analysis and interpolation method. A “power trapezoidal continuous changing state” method is proposed to establish a multi-objective optimization model for the acquisition granularity calibration of the photovoltaic output power. Genetic algorithm (GA) and Particle swarm optimization (PSO) algorithm are respectively used to solve the model and determine the optimal acquisition granularity of the photovoltaic output power. The sensitivity of the acquisition granularity of the data to the capacity of the energy storage system is analyzed, and the energy storage system with the optimal acquisition granularity can’t only effectively smooth the fluctuation of the photovoltaic output power but also keep the main information of the data. The simulation tests of the annual actual operation data at a photovoltaic power station with the installed capacity of 14MW in China verify the validity of the model. The simulation results show when the acquisition granularity of the photovoltaic output power takes 45s, it can satisfy the accuracy of the required data for the capacity configuration of the energy storage system. The method proposed in this paper provides a theoretical basis for the intermittent energy applications and has a certain engineering application prospects.

A comprehensive review on energy management strategies of hybrid energy storage system for electric vehicles

The attention on green and clean technology innovations is highly demanded of a modern era. Transportation has seen a high rate of growth in today's cities. The conventional internal combustion engine-operated vehicle liberates gasses like carbon dioxide, carbon monoxide, nitrogen oxides, hydrocarbons, and water, which result in the increased surface temperature of the earth. One of the optimum solutions to overcome fossil fuel degrading and global warming is electric vehicle. The challenging aspect in electric vehicle is its energy storage system. Many of the researchers mainly concentrate on the field of storage device cost reduction, its age increment, and energy densities' improvement. This paper explores an overview of an electric propulsion system composed of energy storage devices, power electronic converters, and electronic control unit. The battery with high-energy density and ultracapacitor with high-power density combination paves a way to overcome the challenges in energy storage system. This study aims at highlighting the various hybrid energy storage system configurations such as parallel passive, active, battery–UC, and UC–battery topologies. Finally, energy management control strategies, which are categorized in global optimization, are reviewed. Copyright © 2017 John Wiley & Sons, Ltd.

Optimal configuration of energy storage system based on frequency hierarchical control in ship power system with solar photovoltaic plant

This study presents the results of hybrid energy storage system (HESS) and improved maximum power point tracking (MPPT) algorithm simulation analysis undertaken to improve the smoothing performance of solar photovoltaic (PV) plant installed in the ship power system. Frequency hierarchical control algorithm is used to assign high-frequency oscillation part to the supercapacitor and low-frequency oscillation part to the battery. Meanwhile, improved MPPT algorithm is also used to limit the maximum output power of PV plant, which can reduce the necessary installed capacity of HESS further. The effectiveness of the proposed method was verified under a typical ship power system model.

Research on configuration strategy for regional energy storage system based on three typical filtering methods

With the technological improvement in energy storage field, energy storage systems (ESSs) are exerting increasingly profound influence on future electrical grid which is the combination of numerous renewable energy generation units. However, the problem remains debatable how to appropriately determine the ESS configuration. On the basis of three types of filters, this study proposes a practical and economical method for ESS configuration to stabilise the power fluctuation of distribution feeder lines. According to the historical power data in feeders for a typical day, different ESS configurations are calculated with respect to the rated power and capacity based on various filtering methods. It is found that moving average algorithm is more suitable in the process of solving ESS configuration, considering its compromise between fewer points in average and economical results for ESS configuration. Furthermore, the characteristics of three typical filters as well as explanation for each configuration result are theoretically discussed from the perspective of signal analysis, which helps to illustrate that the circular convolution is the main drawback for larger ESS configuration results solved by ideal low-pass filtering method.

Control of urban rail transit equipped with ground-based supercapacitor for energy saving and reduction of power peak demand

Abstract An energy storage system based on Supercapacitor (SC) for metro network regenerative braking energy is investigated. The control strategy according to the various power requirements in metro line and differing characteristics of these storage devices are proposed to manage the energy and optimize the power supply system performance. In order to estimate the required energy storage system (ESS), line 5 of Beijing metro network is modeled through a novel approach, in different running interval conditions based on the real data obtained from Beijing metro office. A useful method is proposed to predict the instantaneous regenerative energy which is delivered to each substation before applying ESS and based on that the ESS configuration for each substation is determined. A simplified mathematical model of the whole metro network has been developed and the main features of the control strategy have been developed. Numerical simulations show the efficacy of suggested control and the energy saving obtained for metro trains.

Optimization of Large Scale Energy Storage System for Relaxing Wind Power Centralized Transmission Bottlenecks

The construction of wind power transmission line lagged behind the development of wind power generation, which leaded to the issue of wind curtailed and power rationing. In the wind power concentrated transmission process, using energy storage system(ESS) can relax transmission bottlenecks, and improve capability of wind power accommodation. An optimal method of using large scale ESS for relaxing wind power centralized transmission bottlenecks was presented in this paper. The comprehensive benefit was calculated by studying the relationship between wind power improved and optimization capacity configuration of ESS. Example shows that the proposed method can achieve more benefit of transmission line and more transmitted wind power than the traditional one without ESS in the same transmission line. ESS optimal power configuration is 46MW, and optimal capacity configuration is 421MWh. The decreased amount of wind curtailed is 983.6GWh with configuration ESS, saving 472100 tons of coal-fired power plans.

Control strategy for wayside supercapacitor energy storage system in railway transit network

This paper discusses the control strategy for energy management in railway transit network with wayside (substation) supercapacitor (SC) energy storage system (ESS). Firstly, the structure of the wayside energy storage system is introduced. Secondly, the model of energy storage system is built and the control strategy is described. Thirdly, in order to estimate the required energy storage system, a useful method is proposed to predict the instantaneous regenerative energy magnitude which is delivered to each substation. Finally, the ESS configuration for each substation is determined. A simplified mathematical model of the whole metro network is established and the main features of the control strategy are developed. Numerical simulations show the efficacy of suggested control strategy and the energy saving obtained for railway transit network.

Hybrid energy storage system based on supercapacitors and Li-ion batteries

Energy storage systems (ESS) have a wide spectrum of functions. They must provide power quality, shaving of load change, coordination of distributed power systems, bulk energy storage, and end-user reliability, e.g., uninterrupted power supply. In present paper the configuration and design of experimental ESS based on both Li-ion batteries and supercapacitors have been proposed. Such a hybrid energy storage system (HESS) includes three main components: Li-ion batteries, supercapacitors, and grid interconnection consisting of two invertors and control and monitoring system. Energy storage capacity of developed HESS prototype is 100 kWh, nominal power—100 kW, peak power—200 kW. HESS was created and tested within the experimental facility also including 1.5 MW gas turbine power plant, 200 kW controllable active and reactive loads, and control and measurement system. Experimental results showed that HESS successfully provides the following advantages: (i) suppression of voltage, current, and frequency disturbances in the grid; (ii) compensation of reactive power in the circuit; and (iii) uninterrupted power supply. Cost analysis of proposed hybrid system has also been carried out. In comparison with battery ESS without supercapacitors, HESS showed longer life time, lower cost, and higher peak power.

Optimal Capacity Configuration of Energy Storage System for Wind Farm Using Improved Stochastic Particle Swarm Optimization

Wind power generation is not stable and cannot supply constant electrical output, which challenges the attempt to integrate large scale wind power scheme into grids. Hybrid energy storage system (HESS) composed of super-capacitor and battery generally has strong complementarities on the technical performance, which can greatly improve the economic and technical performance of the system when it is used to smooth the volatility of the wind power. However, the main factor influencing the composite energy storage system efficiency is capacity configuration of the storage system. In order to get optimal capacity configuration of the HESS, this paper presents an optimization scheme to improve performance/cost ratio of the HESS while meeting the requirement of smoothing wind power fluctuations. In the optimization model, the power output average and maximum fluctuations in wind farm are taken as main constraints, and simulated annealing method is introduced into Stochastic Particle Swarm Optimization (SPSO) to improve its convergence, which creates an Improved Stochastic Particle Swarm Optimization (ISPSO) to seek the optimal ratio of super-capacitor and battery. Simulation comparison of ISPSO, SPSO and PSO verifies the feasibility and effectiveness of the model for capacity optimization. Meanwhile, it can provide decision-making reference for energy storage system design of wind farm.

Wind/Storage System Capacity Configuration Research Based on the Benefits of Energy Saving and Emission Reduction

Rational configuration of energy storage system is an effective means to improve power system energy utilization and solve the bottleneck problem of wind power. To energy saving and emission reduction as study object, analyse energy storage system energy saving and emission reduction benefit evaluation index. Establish the wind/storage system benefit evaluation model to calculate wind/storage optimum matching capacity used nested genetic algorithm. The calculated results show that the wind/storage system with reasonable configuration can improve the social benefits of energy saving and emission reduction.

Advances and trends of energy storage technology in Microgrid

Microgrid (MG) is the indispensable infrastructure of nowadays smart grid, however, fluctuation and intermittence resulted from unstable micro-sources and nonlinear loads will execute considerable impacts on normal operation of the MG. Energy storage technology presents a preferable solution to the above issue. The paper gives a full scope review of the principal energy storage technologies being developed so far, and the features and benefits of energy storage systems (ESSs) within the MG are analyzed in details including ESS configuration and topologies, power electronics interfaces, ESS control schemes for charging/discharging, control strategy of hybrid ESS as well as optimization of the renewable sources and ESS. The future trends and challenges of ESS are also fully accounted, with a view to proposing smart ESS as the promising technology in the future for MG and smart grid.

Stationary super-capacitor energy storage system to save regenerative braking energy in a metro line

In this paper, the stationary super-capacitors are used to store a metro network regenerative braking energy. In order to estimate the required energy storage systems (ESSs), line 3 of Tehran metro network is modeled through a novel approach, in peak and off-peak conditions based on the real data obtained from Tehran metro office. A useful method is proposed to predict the maximum instantaneous regenerative energy which is delivered to each station before applying ESS and based on that the ESS configuration for each station is determined. Finally, the effectiveness of the proposed ESS is confirmed by economic evaluations and benefit/cost analyses on line 3 of Tehran metro network.