Energy Storage Control Strategy Research Articles

A novel information exchange particle swarm optimization for microgrid multi-objective dynamic optimization control

Dynamic optimization is likely to play an important role in the reliability, quality, and efficiency of future power system, specifically for microgrid with renewable generation. This paper presents an improved hybrid optimization algorithm, called information exchange particle swarm optimization (IEPSO), to deal with the problem of dynamic optimal control in a microgrid with multiple distributed generations (DGs), such as wind power, small hydro, and energy storage. Based on the actual application of DG in Southwest China, we propose an optimization model for grid-connected microgrid that introduces a contribution rate of energy storage into the model and incorporates practical engineering constraints. The performance of different optimization control strategies for active and reactive power is investigated, and the results indicate that the IEPSO algorithm is efficient for dynamic optimization, and the dynamic contribution rate control strategy for energy storage is more effective than static strategy.

Study on Coordinating Control Strategy of Hybrid Cascade Energy Storage and Bi-Directional Power Regulation Device

This paper presents a novel topology and the coordinating control strategy of the hybrid cascade energy storage and bi-directional power regulation device. First, the voltage gain and power transmission characteristics of isolated half-bridge DC/DC converter have been analyzed. On this basis, the coordinating control strategy of the two kinds of converters is mainly studied. Finally, a detailed bi-directional power regulation device model is established on a PSCAD/EMTDC platform.

Study on Power Characteristics of Hybrid Wind, Photovoltaic Generation and Energy Storage

In this paper, power characteristics of hybrid wind, photovoltaic generation and energy storage device is studied. Two-stage Smooth Energy Storage Control Strategy is designed in order to effectively inhabit both high frequency and low frequency section of wind and photovoltaic power. A topology of demonstration project of hybrid wind power, photovoltaic, energy storage and power transmission in north China is considered for simulation. Power characteristic of different hybrid generation mode is studied, and the simulation results show reliability and effectiveness of the control strategy. The results studied have the important significance for grid planning and operation.

Research on the Control Strategy of Hybrid Energy Storage for Hybrid Electric Vehicles Based on Grid Partition and Adaptive Fuzzy Neural Network

In order to take the full advantages of battery and ultracapacitor of hybrid energy storage (HES) for hybrid electric vehicles (HEV) and solve the power allocation problems of the two energy storages when the working condition was changing, we propose a grid partition (GP) and adaptive fuzzy neural network (AFNN) control strategy. Firstly, the structure of AFNN wad determined by GP; Secondly, by adopting the back-propagation algorithm and least square method respectively, the front and back parameters of the AFNN were optimized, and the study efficiency of the parameters was raised. Finally, use the fuzzy membership functions and rules which generated automatically by AFNN in the control of HES for HEV. Under the ADVISOR 2002 simulation environment, verify the control strategy on the base of Urban Dynamometer Driving Schedule (UDDS) working condition. The results show that the battery and ultracapacitor could give full play to their respective advantages when the GP and AFNN control strategy was adopted, so the efficiency of the vehicle energy storage system could be enhanced and a higher efficiency of the braking energy recovery be obtained.

The Analysis of the Transient Characteristics of the PV System with Hybrid Energy Storage System

The utilization of the solar cell effectively promotes the use of renewable energy. Since the light intensity changes with the time and the weather conditions, the output power of the photovoltaic (PV) cells is also unstable. It is a common way of using the storage device to stabilize the power fluctuation. Firstly, a control strategy of the hybrid energy storage consisting of battery and super capacitor is presented in the paper. Then the transient characteristics of photovoltaic systems with hybrid energy storage system (HESS) are investigated by simulation experiment, which include the transient behavior with a sharp change of light intensity and the transient characteristics in a three-phase short-circuit fault. The advantage of super-capacitor in the hybrid energy storage system is also analyzed in the transient process. Finally, some conclusions about the transient characteristics of the PV system with the HESS are summarized.

Development of a hybrid energy storage sizing algorithm associated with the evaluation of power management in different driving cycles

In this paper, a hybrid energy storage sizing algorithm for electric vehicles is developed to achieve a semi-optimum cost-effective design. Using the developed algorithm, a driving cycle is divided into its micro-trips and the power and energy demands in each micro-trip are determined. The battery size is estimated because the battery fulfills the power demands. Moreover, the ultra-capacitor (UC) energy (or the number of UC modules) is assessed because the UC delivers the maximum energy demands of the different micro-trips of a driving cycle. Finally, a design factor, which shows the power of the hybrid energy storage control strategy, is utilized to evaluate the newly designed control strategies. Using the developed algorithm, energy-saving loss, driver satisfaction criteria, and battery life criteria are calculated using a feed-forward dynamic modeling software program and are utilized for comparison among different energy storage candidates. This procedure is applied to the hybrid energy storage sizing of a series hybrid electric city bus in Manhattan and to the Tehran driving cycle. Results show that a higher aggressive driving cycle (Manhattan) requires more expensive energy storage system and more sophisticated energy management strategy.

Methodology for determining the optimal operating strategies for a chilled-water-storage system—Part I: Theoretical model

This article proposes a new methodology for determining the optimal operating strategies for a chilled-water storage system under a time-of-use electricity rate structure. It is based on a new classification of operating strategies and an investigation of multiple search paths. Each operating strategy consists of a control strategy and the maximum number of chillers running during the off-peak and on-peak periods. For each month, the operating strategy with the lowest monthly billing cost and minimal water level higher than the set-point is selected as the optimal operating strategy for the current month. A system model is developed to simulate the tank water level at the end of each time step and the system total power during each time step. This model includes six sub-models: plant, thermal energy storage tank, loop, chiller, control strategy, and nonplant power. This method considers the interaction among plant, tank, and loop, and it is easy for users to apply it to different projects, modify individual models, or implement new sub-models. The final results will be a table showing the monthly control strategy and maximal number of chillers staged-on during the off-peak and on-peak periods, an operation schedule that is easy for the operators to follow.

Total Solutions of System Integration and Development Technology for EV

In recent years, the research of Battery Electric Vehicle (BEV) focuses on energy storage systems, drive system and control strategy. However, one of the important subjects to enhance the performance of BEV is to research the parameters of transmission until the power battery and other technologies are mellow. For the BEV drive system parameters design, such as motor power and output torque as well as transmission gear ratio and the matching have significant impacts on each other for driving range and performance of BEV. Hence, in BEV research and developmental phase, in order to meet the requirements of vehicle performance access to the best structure, generally it must base on different needs to optimize the parameters of the drive system and to consider the combination of vehicle operation among the various components. For this reason, it will be conducive to the rapid development and be widely used for BEV. Therefore, in this paper, the discussion of the design, analysis, matching and system integration of BEV component parameters is proposed, which can be used as a reference for the future development of BEV.

Superconducting Magnetic Energy Storage Control Strategy for Power System Stability Improvement

Transient stability is recognized as a critical problem for modern electrical power systems, since the deregulation could involve more and more restricted margins. Continuous improvements in power electronics technology gives the possibility to improve significantly the dynamic behaviour. Recently, a great attention in the relevant literature has been paid to Superconducting Magnetic Energy Storage (SMES) devices, showing their intrinsic ability to improve power transmission capability. In the paper, a control strategy for these devices is derived starting from a Control Lyapunov function, thus determining reference values for SMES active and reactive powers injections, able to counteract the effects of large disturbances. Hence, a new topology of the power conditioning system for interfacing SMES device with a power system is proposed. Finally, a control law based upon quasi-sliding technique is employed for tracking the required active and reactive powers. In the last part of the paper an application is presented, with reference to a test system, allowing to outline the flexibility and the goodness of the proposed control strategy.