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In this paper we propose a novel coalitional game theory based optimization method for minimizing the cost of the electricity consumed from the power grid by a community of smart households. A smart household may own both a renewable energy source and an energy storage system (ESS), or only an ESS. We propose an optimization model in which all the members of the community jointly share their renewable...
In the development of smart grid at distribution level, the realization of real-time nodal pricing is one of the key challenges. The research work in this paper implements and studies the methodology of locational marginal pricing at distribution level based on a real-world distribution power system. The pricing mechanism utilizes optimal power flow to calculate the corresponding distributional nodal...
With a shift from central to decentralized generation, the question arises whether renewable energy sources can contribute to the provision of ancillary services and to which extent. This work assesses the effects of reactive power provision from wind turbines connected to the 110 kV distribution grid on redispatch cost. For this purpose a redispatch model is developed that does not only consider...
BESS (Battery Energy Storage System) has a series of characteristics, i.e. fast response, high creep speed, accurate power control, and so on. Controlling the charge and discharge power of large-scale BESS can effectively adjust the power system frequency. In this paper, the traditional unit is compared with the BESS in technology and economy respectively, and the control strategy of BESS' participation...
This paper explores the problem of virtual machine (VM) allocation in a network of cloud server facilities which are deployed in different geographical areas. Each cloud server facility is connected to the conventional power grid network and in addition it is supported by an attached renewable energy source (RES). We address the problem of energy-efficient task allocation in the system in the presence...
This paper addresses the two-port network behavioral modeling of the power converters for renewable energy sources that feature non-linear static behavior. Based on the Hammerstein's approach, two models, non-linear dc and linear ac are both run simultaneously in the simulation while the dynamic model is constantly being updated with the operating point values from the static model, in order to include...
This paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators (WTG). The proposed model can consider capacity limitations and transmission line unavailability. The importance of renewable energy sources has been growing at a rapid rate due to environmental concerns. In particular, wind energy is one...
The increasing number of distributed generations (DG) in the low voltage (LV) and medium voltage (MV) network has the potential to form a new type of power system, the MicroGrid. These distribution networks can be connected to the main power network or be operated autonomously. The MicroGrid technologies have become one of the hot spots in the research on distributed energy systems. In this paper...
Faced with an uncertain path forward to renewables portfolio standard (RPS) goals and the high cost of energy storage, we believe that deep demand side management must be a central strategy to achieve widespread penetration of renewable energy sources. We examine the variability of wind as a source of renewable, non-dispatchable energy and the loads that can be dispatched to match sources of this...
Plug-in hybrid electric vehicles (PHEVs) are an environmentally friendly technology that is expected to rapidly penetrate the transportation system. Renewable energy sources such as wind and solar have received considerable attention as clean power options for future generation expansion. However, these sources are intermittent and increase the uncertainty in the ability to generate power. The deployment...
Electric vehicles (EVs) have gained significant attention in the recent years due to their prospects in reducing green-house gas emissions benefitting the transportation sector directly and the electricity sector indirectly. Vehicle-to-grid (V2G) systems using the battery storages of electric vehicles could provide power system ancillary services in the form of power balancing reserves to support...
In the paper the application of energy storage for enhancing distributed energy sources penetration and contributing to better quality of energy delivery to customers was investigated. A simulation method was used to study the effectiveness of complex control algorithms of energy storage system enabling load leveling and simultaneous voltage stabilization effect in grid-connected microsystem. The...
As renewable energy penetrates the utility market, the electricity industry is undergoing a paradigm shift that will change the industry to generate electricity using distributed generation systems. Consequently, there are new opportunities for enhancing the utility company's power quality and network reliability, as well as increasing their level of automation. This paper surveys the most recent...
In support of work to assess and ensure the reliability and resiliency of Florida's power generation, transmission, and distribution system as load and generation evolve in future years, groundwork is presented for the development of an open, dynamic model of the Florida grid and geographically distributed projections for growth in load and generation within the state. Using load forecasts provided...
This paper addresses the issue of the evaluation of how modern and restructured Transmission and Distribution (T&D) infrastructures help accomplish the so-called EU 2020 targets, in terms of efficiency increase, CO2 reduction and a wider employ of renewable energy resources. A methodology is proposed in order to quantify the possible environmental benefits as well as the power quality improvement...
This paper proposes a new methodology for evaluating the probabilistic reliability of a grid constrained composite power system including wind turbine generators(WTG). The proposed model can consider capacity limitations and transmission line forced outage rates. The importance of renewable energy sources has been growing at a high rate as a result of being environment friendly. In particular, wind...
Nowadays small isolated electric grids are supplied by diesel groups integrated by renewable sources as wind, solar so as batteries storage. Transient behavior has to be studied to analyze the electric power requirements for rotating generators, power electronics converter and control systems in order to assure proper and safe operating during dynamic conditions according to the load and wind fluctuations...
Due to the ongoing integration of Renewable Energy Sources (RES) at all levels, the structures of Electric Power Networks (EPN's) are transforming from vertical to horizontal. During this evolutional process the utility companies have to control, protect, maintain and manage properly their networks, with minimal financial, operational, efficiency, quality and availability impact. System Developers...
In the present study, a scenario analysis is conducted for the future electricity system with a large amount of renewable power in Japan using a proposed integrated model with the aim of finding the best mix that produces the least amount of carbon and meets the future electricity demand. The final objective is to achieve a zero-carbon electricity system by the year of 2100, subject to various constrains...
Traditional algorithms used in grid operation and planning only evaluate one deterministic state. Uncertainties introduced by the increasing utilization of renewable energy sources have to be dealt with when determining the operational state of a grid. From this perspective the probability of certain operational states and of possible bottlenecks is important information to support the grid operator...
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