Effect Of Energy Storage System Research Articles

Appliances considered demand response optimisation for smart grid

Demand side management can bring a lot of benefits to smart grid, including reducing peak load demand, reshaping demand file and increasing grid sustainability. To obtain a more practical and rational demand side response optimisation, the authors first build a power network model with suppliers, utility companies, consumers with appliances and energy storage systems. Unlike other power network models previously proposed, power consumptions and work patterns of appliances have been considered in the authors’ work. They classify appliances into elastic and inelastic ones according to their distinct constraints on power consumptions, while all appliances’ work patterns are modelled based on their functions and common users’ habits in reality. With the help of convex optimisation, a distributed load scheduling algorithm is proposed subject to social welfare maximisation. Simulation results confirm that the proposed load scheduling algorithm can lead to a suitable power consumption schedule to improve the social welfare than other load scheduling algorithm does. The effect of energy storage system on reducing the fluctuation of power network is also tested and proved to be effective. At last, a strategy of charge rate is also given to satisfy power consumption and avoid energy waste, which is further verified to be competent.

Economic Dispatch Application of Power System With Energy Storage Systems

In order to ensure the security, the stability and the economic operation of the power grid, the energy storage system had been widely used in the power system. By regulating the power and the operation state, the flexibility of network is increased actively, so that the economic dispatch purpose of power network is achieved. First, in this paper, the power, the capacity, the state maintenance time, the ramp rate, and other constraints of the energy storage system were considered in the study, combining with the output of wind turbine, the open downtime, and other constraints. The steady state model of the energy storage system and the unit commitment model were built. Forecasting the wind power output, the scenario analysis method was applied to optimize the total power generation cost in the power system. In the case of the wind power connected to the grid, the power grid economy with the large-scale energy storage system is boosted. At last, the practical example, considering the effects of energy storage system on the wind power generation and wind power generation and the purpose balancing the load distribution of wind turbine and reducing the cost of power generation, was analyzed. The results show that the models proposed in this paper can be successfully applied to the standard network and the generator output and the system operating cost are optimized under the condition of the research of this paper.

Multi-objective Optimization for Design and Operation of Distributed Energy Systems through the Multi-energy Hub Network Approach

A generic framework is developed to study the application of energy hubs and its related network model to demonstrate the optimal design and operation of distributed energy systems (DESs) in urban areas. A novel multi-objective approach based on augmented epsilon constraint technique is employed to carry out this work. As an illustrative example, the proposed model is applied to an urban area in Ontario, Canada. Different scenarios are defined to investigate the effect of energy storage systems and energy exchange within a network on the optimal configuration and operation of the system. Moreover, multi-objective optimization is carried out based on two conflicting objectives, namely, total annual cost and greenhouse gas emission. The findings show that the simultaneous consideration of DESs, storage technologies, and a network of energy exchange between hubs (scenario 4) results in the installation of more DESs and at least 8% reduction of annual cost when compared to other scenarios. Furthermore, loweri...

A Hybrid System of Li-Ion Capacitors and Flow Battery for Dynamic Wind Energy Support

Wind farm output power fluctuations create adverse effects on the voltage, frequency, and transient stability of the utility grid. Short-term wind farm power variations with high ramp rates can cause voltage instabilities, particularly if the farm is located in weak-grid areas. The integration of wind energy with energy storage devices to support the short-term shortcomings of wind energy is discussed in this paper. A turbine level hybrid configuration of an energy storage system is used to limit the power ramp rates and apply power smoothing. The proposed energy storage devices are the zinc bromide flow battery and lithium-ion capacitors. The actual models for the battery and capacitors used in this study are derived from laboratory tests. The wind farm power is also modeled using measured wind speed data. A new concept has been introduced to evaluate the effectiveness of energy storage system for wind energy support. The analysis shows that significant improvements can be made to shape the output power of the farm using energy storage systems.