Power Losses In Electrical Networks Research Articles

A reliable deterministic method for multi-area economic dispatch considering power losses

This paper offers a reliable deterministic method for solving multi-area economic dispatch (MAED). The proposed method can handle nonlinear power losses in electrical networks and discrete and nonlinear characteristics in power plants, such as fuel change facilities and nonconvex cost functions. To this end, the presented method reformulates the products of two variables in the power loss terms as one-dimensional expressions. Then, it converts all nonlinear terms in the MAED into linear segments. Moreover, it handles discrete decisions in fuel selection through binary variables. We assess the performance of the proposed method by some MAED test systems. The results show that the method can reliably obtain accurate solutions in the adopted test systems. It converges to costs of 10604.7, 654.7, 121592.7, 124628.4, and 169528.9 respectively in 2-area 4-unit, 3-area 10-unit, 4-area 40-unit, 2-area 40-unit, and 10-area 130-unit. These findings reproduce or outperform results found in earlier optimization algorithms. Moreover, the computational time evaluations indicate that the method can solve the adopted MAED problems in less than one minute, showing its efficiency. Overall, the obtained results confirm the efficacy of the method’s efficacy in handling the MAED with discrete and nonlinear terms.

Influence of smart metering systems on increasing the accuracy of calculation electrical power losses in electrical networks

The article discusses the possibility of using data from smart electricity meters (SEM) to increase the accuracy of calculation losses in 0.4 kV low-voltage networks. An increase in accuracy can be achieved using actual data about the load graph of electricity consumers (in this case, 6(10)-0.4 kV transformer substations are meant). To date, the operating load factor is taken equal to 0.5, which does not always correspond to the actual data. Using SEM, actual load graphs can be obtained, which enable more accurate determination of the operating load factor. Consequently, the accuracy of calculation of electrical energy losses will be increased.

Application of fuzzy regression analysis method for determination of electric power losses in intrafactory power supply networks

One of the main objectives of the development of modern industry in Russia, along with an increase in the absolute volumes of electric power (EP) production, is to strengthen control over its more rational use. Saving EP and reducing the cost of its transmission along power distribution networks is of great importance for the country's energy sector. In terms of their physical nature, in terms of production, transmission and consumption, EP losses are no different from EP served to consumers. Therefore, the assessment of power losses in electrical networks is based on the same economic principles as the assessment of energy served to consumers. EP losses have a significant impact on the technical and economic parameters of the network, since the cost of losses is included in the estimated cost (reduced costs) and cost price (annual operating costs) of EP transmission. The cost component of losses in the cost of EP transmission has a large proportion. The article presents the results of research on the possibility of application of fuzzy regression analysis for problems of assessment and prediction of electric power losses in intrafactory networks. Initial information on the network is uncertain to some extent, which complicates application of traditional methods. The calculation is presented for conventional and fuzzy regression models, along with estimation of error of these models. The relevance of application of fuzzy regression analysis methods is determined by the difficulty of obtaining reliable information about the circuit and regime parameters of intrafactory networks, the probabilistic nature of change of the modes, as well as a whole complex of affecting factors, which are generally challenging for quantitative assessment. Advantages of application of fuzzy regression analysis consist in obtaining confidence intervals of required variables (value of electric power losses) for schemes of networks with uncertain initial information on their parameters, which is characteristic of intrafactory power supply systems, and enables to consider dynamics of their variation.

Методика управления генерацией солнечных батарей по критерию минимизации относительных потерь электроэнергии в электрических сетях

The totality of technical, political, and environmental factors stimulates a relatively rapid growth of distributed solar power plants around the world. Integration of solar power plants into electric grids is one of the most topical aspects for further development of the power industry. At the same time, the development of photovoltaic generation entails an acute problem of its impact on the operating modes of distribution networks and relative power losses. Power flow measurements in the electrical networks to which the solar panels of public health facilities in the city of Dushanbe, Tajikistan, are connected, were carried out. The effect of distributed photovoltaic generation on the power losses and on the load curve profile was analyzed. The analysis results have revealed that there is a problem of excessive photovoltaic generation at weekends, which results in that an active power flow from the consumer to the power system is produced, causing a change in the load curve profile and a growth of relative power losses. A calculation method is proposed that makes it possible to minimize the relative power losses in electric networks, thus resulting in achieving more efficient operation of the electric grid company under the conditions of using distributed photovoltaic generation.

A Voltage Control Scheme for Generation-Dominated Networks to Maximize Power Export

This letter describes a voltage control scheme that maximizes the exported active power from generation-dominated networks. The proposed scheme exploits recent theoretical advances that rigorously characterise the origins of power losses in electrical networks. In situations where load-driven losses can be disregarded, these theoretical advances simplify the calculations and data inputs required by an export-maximizing optimal control scheme.

Расчет потерь мощности в электрических сетях при вероятностном задании нагрузок

Расчет потерь мощности в электрических сетях при вероятностном задании нагрузок

A Novel Method for Implementing of Time-of-use to Improve the Performance of Electric Distribution Systems: A Case Study

Increased electric energy consumption in recent years, associated economic problems, reduced reliability and increased power losses in electric networks. One of the main solutions in smart grids to overcome the mentioned problems is demand response programs. In demand response programs, operators apply time-varying tariffs to consumers, and convince them to change their consumption pattern. Among the demand response programs, the most effective program for subscribers who receive electricity at fixed price is time-of-use (TOU) pricing. This paper offers a new approach to implementing TOU program, which is determining the scheduling and pricing of TOU tariff simultaneously taking into account the objectives of smoothing the load profile, reducing the losses and energy not supplied. The proposed method is simulated in MATLAB, and has been evaluated on an urban distribution network in Yazd Electrical Distribution Company (YEDC) that feeds 35 distribution transformers (20/0.4kV) through a radial feeder. Results show that implementation of this method has only a minor increase in cost and reduction in consumption for subscribers, and makes load profile more smooth, improve reliability and reduce power losses.

Valuation of power losses in electrical networks of agro-industrial complex by criterion method with use neuro-fuzzy modelling

Valuation of power losses in electrical networks of agro-industrial complex by criterion method with use neuro-fuzzy modelling

Design of a Computer Code “HPFCODE” To Evaluate the Influence of the Harmonics in the Electrical Networks

This paper aims to present the design of a computer code (HPFCODE), for calculate a power flow and power losses in power systems under the influence of harmonics, using the GUI in MATLAB. After described the program was run for two networks IEEE 6 nodes and IEEE 14 nodes. The power flow by Newton-Raphson method was calculated as the losses of active and reactive power in the lines, respectively, where the loads are linear and nonlinear (Static Var Compensator(SVC), Thyristor controlled Reactor(TCR), and Unified Power Flow Controller ((UPFC)), The results were almost consistent and show the influence of higher harmonics on power losses in electrical networks. DOI: http://dx.doi.org/10.11591/ijece.v2i5.1465 Full Text: PDF

Power losses in electrical networks depending on weather conditions

Specific power losses to corona and to leakage currents over overhead insulators are presented for 110 – 750-kV transmission lines with different phase design and pole types for different weather conditions. Consumption of electric energy for ice melting on conductors of various cross sections is evaluated. Meteorological data of 1372 weather stations in Russia are processed for a period of 10 years. The territory of the country is divided into 7 regions with approximately homogeneous weather conditions. Specific power losses to corona and leakage currents over overhead insulators are presented for every region.