The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The sector of water pumping is one of the greatest consumers of electricity. Integrating microgrids and renewable energy sources facilitates stainable energy future. This paper proposes an optimal operation of energy management system in a microgrid with water pumping. The microgrid includes PV, wind turbine, and energy storage system (ESS). The proposed method determines the optimal hour-by-hour...
Energy Internet is studied as a promising electricity-centered energy network, which revolves around reliable framework, widely interconnected, highly intelligent and open interaction. In this paper, we propose the system structure of energy switch and the mainly function of energy switch. And then a optimization model of energy management in microgrid based on energy switch was built. The optimization...
This paper address a study of Low-Voltage (LV) distribution system composed by decentralized PV-BES and centralized BES in developing country. The purposes of work is to size the PV-BES which connected into grid. Genetic Algorithm (GA) optimization solver in MATLAB has been employed to size the maximum PV penetration and minimum BES of decentralization according to PV and load curves. A sizing strategy...
This paper proposes strategies for operating cost optimisation of a multi-energy source building. The optimisation is based on a day-ahead forecast of building energy usage. The building in question is powered by multiple energy sources including a wind turbine, a photovoltaic system, a lead-acid battery system, and the national power grid. The optimisation method presented in this paper is a genetic...
To improve the fuel economy and range of an electric vehicle, as much as energy regeneration during braking is important. It was observed that driving harshness has a great impact on the regeneration efficiency during vehicle deceleration. On the other hand, to reduce the trip time as well as to avoid accident, the deceleration duration needs to be kept short. By realizing these conflicting objectives,...
Tests are useful in the process of learning. These consist in an efficient way of verifying the knowledge gained during a period of time. Either they are multiple choice tests or exercise tests, they are a control check which show whether the notions were understood. This paper presents a modality of generating optimized sequences of tests described by certain keywords which follow certain restrictions...
The successful introduction of electromobility relies considerably on the implementation of the charging stations. This implementation, should be cost effective and satisfy the energy demand of the electric vehicle users. This article presents a tool that computes the optimal charging infrastructure, by considering the placement and type of charging stations. To achieve this, we first calculate the...
The multi-objective generation expansion planning problem includes making the best decisions of selecting generation technologies to be added to the existing power system in order to minimize cost and other desired factors. In this paper, an optimal generation expansion planning scheme for power systems considering electric vehicle load effect is presented. The optimum value is achieved by solving...
To ensure the power supply reliability as well as to improve the profit of the whole micro-gird, in this paper, an optimal design of capacity configuration is presented which could supply the basic power demand. Specifically, the complex cost, which contains the capitalized cost, operating cost and other maintenance cost, is selected as the optimal object to optimize capacity configuration. Then,...
Optimal sizing of Distributed Energy Resources (DERs) in a typical microgrid is a complex multi-objective problem. The multi-objective optimization problem modeling plays important role in DERs planning. In this paper, the Pareto front solutions is proposed as a multi-objective problem formulation in order to optimal sizing of DERs. Based on Pareto front solutions each objective function has a dimension...
In this paper an optimal energy management strategy (EMS) for a light rail vehicle with an onboard energy storage system combining battery (BT) and supercapacitor (SC) is presented. The optimal targets for the proposed EMS are obtained by an optimization process with multi-objective genetic algorithms (GA). The fitness functions are expressed in economic terms, and correspond to the costs related...
In this paper, a battery swapping station (BSS) model is proposed as an economic and convenient way to provide energy for the batteries of the electric vehicles (EVs). This method would overcome some drawbacks to the use of electric vehicles like long charging time and insufficient running distance. On the economic concern of a battery swapping station, the station would optimize the availability...
This paper is focused on a series hybrid electric bus (SHEB). A rule-based energy management strategy is proposed by controlling the state of charge (SOC) of the battery (BT) and a variable output control for the auxiliary power unit (APU). Furthermore, a power splitter control is developed to split the power among BT and supercapacitor (SC). The optimization to obtain the values for the control levels...
Indian economy is running with very fast growth rate, so there is a huge demand of energy in future. But the requirement cannot be achieved with conventional sources of energy as these are limited. Renewable Energy Systems are likely to become wide spread in future due to adverse environmental impacts and escalation in energy costs associated with the use of conventional energy sources. This paper...
The optimization strategy is proposed for the grid-connected PV-battery system in order to gain the maximum benefit. The proposed operation optimization is performed in two steps. In the first step, active power optimization is applied, which is aimed at the minimum operation cost (or the maximum system benefits). In the second step, reactive power optimization is applied based on the result of active...
This paper purposes an optimal configuration of the distributed hybrid renewable generations based the stand-alone micro-grid system, considering the diesel as the main control source. Due to the natural sources and load of user changes randomly and the nonlinearity of the power output by renewable generations, an intelligent optimization method based improved genetic algorithm and the control strategy...
The off-grid run micro grid can give full play to the efficiency of the distributed generations, and can be used as the beneficial supplement of interconnected power grid. On the basis of analyzing the typical power supply constraints, the energy optimization model is established in order to most low running cost maximizing the use of wind and solar energy as the principle. Typical day energy scheduling...
In recent years, hybrid renewable energy systems have been considered much more for stand-alone applications. In this paper, a new method has been introduced to obtain optimal size of hybrid energy system, including wind turbine (WT), photovoltaic (PV) panels and storage battery (SB). Optimization has considered two objective functions; total net present worth (TNPW) as cost function and energy index...
On account of the broader use of Hybrid Renewable Energy systems (HRES), latest researches are interested in solving their optimization problem. These systems have obvious advantages. However, they also present important drawbacks such as the discontinuity of the generation. Therefore, their use requires a suitable sizing and a control optimization study. In this paper, we made a research on an economic...
This paper presents a new approach to the multi-objective optimization for the hybrid renewable energy distributed generation system based on fuzzy satisfaction degree. Firstly, based on the analysis of the characteristics of the distributed power supply, three indexes, including economy cost, power supply reliability and power factor, are chosen. And then, the fuzzy satisfaction degree is proposed...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.