جستجوی مقالات مرتبط با کلیدواژه "بهره برداری" در نشریات گروه "برق"

In this paper, operation of smart distribution network in the presence of the multi-microgrid considering microgrids (MGs) participating in the energy and ancillary services (reactive power and reserve regulation markets) markets is presented. The proposed scheme minimizes difference between MGs cost and their revenue in these markets. Problem constraints include AC optimal power flow equations in the smart distribution networks and multi-microgrid, operation model of sources, storages and demand response. In this problem, there is uncertainty in load, market price, renewable power, and mobile storage. Hence, the stochastic optimization based on unscented transformation method is used to model of these uncertainties. Moreover, this problem is as non-linear. In the following, Ant-lion optimizer uses to achieve optimal solution. Finally, by implement the proposed scheme on the standard networks, the simulation results obtaining from different case studies confirm the capability of the scheme in the improving of networks operation situation with respected to load flow analysis, while it obtains a suitable economic situation for MGs.

Multi-carrier energy systems play an important role in reconfigured power networks. According to the recent researches, only the energy carriers modeling and system optimization are taken into account, however the sensitivity analysis of output parameters due to input variables variations considering price risk, are being studied in this paper. The sensitivity analysis make the independent system operator (ISO) very precisionist to the carriers-based decisions. In other word, the ISO and the whole control system have to be able to determine each share of all energy carriers considering emergency conditions or passive defense, low consumption and high efficiency. This goal will be achieved through energy carriers sharing variations to compensate the lack of the other resources. All of thermal and electrical demand are procured and the energy not supplies will be calculated in each scenario. The risk modeling used in this study is formulated based on conditional value at risk (CVaR) in four weeks time horizon.

Due to the increasing demand for electric vehicles and the required charging stations, the stress on the future distribution systems would increase. Proper location and capacity of these charge stations are critical factors that are to be determined based on detailed analysis of the distribution in order to avoid overloads, increased real power losses,excessive voltage drops, and damage to the infrastructure of the system. In this paper we propose a proper allocation methodology for charging stations in the distribution system in which network constraints and the operational standards are observed. This method develops a priority list of appropriate locations and the capacity of these stations based on allowable losses and voltage dropswhich are determined by the system operator. The proposed method is implemented in Matlab and is tested on two standard distribution systems including 33-bus and 136-bus networks. Numerical results presented and discussed to show the efficacy of the method.

In recent years, the exploitation of the energy storage systems has attracted many researchers in the electricity industry. Due to the relatively high cost of storage, usually many investors are not being prevented from installing and operating in a power system. In this paper, the effect of the type of operation of the energy storage system (the whole year or part of the year) on the profit of the energy arbitrage (shift) in the electricity market is investigated by an electrical energy storage system. For Evaluation the effect of the price prediction error on the energy arbitrage revenue, two types of prices (real price, 3 Hour Ahead Predispatch Prices) have been used. Due to the encouragement of private investors, it is proposed to use the loan for the initial investment cost so that the proposed plan for the investor is economically justified. Due to high investment costs and longer lifespan of the energy storage system, the number of charging and discharging energy is one, which is the time of charging at the lowest cost of energy and the time of discharge at the highest energy cost to increase energy returns.

Today, the increased use of distributed generation units along with the storage devices as well as telecommunication enhancements have led to the formation of microgrids and thus multi-microgrids (MMGs). In this type of networks, the probability of the fault occurrence in different places of the network is not out of expectation, and it can be argued that the failure of the network not only increases the losses, reduces the efficiency and increases the outage, but also, it disrupts network operation and makes the operation process of the system more complex. From this point of view and with the aim of filling the existing research gaps, in this paper a comprehensive energy management strategy for operation of multi-microgrids considering uncertainty of the fault occurrence in the different part of the system is presented. In the proposed comprehensive energy management strategy, a novel problem formulation for both self-healing and cost effective operation, as well as the network operators’ relationship are considered. In this situation, at first, an appropriate method is proposed to address the contingency faults which can be occurred in the different places of the network, then intended energy management strategy is implemented. The proposed methodology is implemented in the MATLAB software environment and its effectiveness is demonstrated in the modified reliability based test system with considering some other traditional methods.