scholarly journals Optimal Location of Sectionners and Distributed Generation Resources to Improve Reliability in Distribution Networks

2021 ◽  
Vol 8 (2) ◽  
pp. 165-169
Author(s):  
Giulio Lorenzini ◽  
Mehrdad Ahmadi Kamarposhti ◽  
Ahmed Amin Ahmed Solyman
Keyword(s):  
Distribution Networks ◽  
Economic Interests ◽  
Distributed Generations ◽  
Load Response ◽  
Radial Structure ◽  
Distribution Company ◽  
The One ◽  
Micro Grids ◽  
Downstream Area ◽  
Improve Reliability

In traditional distribution networks, due to the radial structure and subscriber power supply, in the event of errors in the main feeders, downstream subscribers experienced a long blackout, which reduced the reliability level of the network. With the expansion of the use of scattered generations, storage resources and the use of load response methods, load retrieval is provided in the downstream area. In this paper, a method is proposed for locating sectionners and distributed generations in distribution networks with the aim of creating flexible micro-grids. By creating an island, disassembling and restoring loads of more importance in the distribution network, on the one hand, it reduces the amount of fines paid by the distribution company to Subscribers and economic interests of the distribution company, and, on the other hand, by improving reliability, provides customer satisfaction.

scholarly journals Optimal Allocation of Multiple Distributed Generations including Uncertainties in Distribution Networks by k-Means Clustering and Particle Swarm Optimization Algorithms

2021 ◽  
Vol 19 ◽  
pp. 79-84
Author(s):  
Onur Hakki Eyüboglu ◽  
◽  
Ömer Ömer Gül
Keyword(s):  
Power Generation ◽  
Particle Swarm Optimization ◽  
Optimal Allocation ◽  
Particle Swarm ◽  
Distribution Networks ◽  
Power Losses ◽  
Swarm Optimization ◽  
Distributed Generations ◽  
Distributed Power Generation ◽  
The One

Climate change is the one of the most important issues faced globally and reasons of it must be reduced immediately in every area. Installing distributed power generation (DG) is one of the powerful options for reducing carbon emissions in power generation. However, improper allocation of these assets has several drawbacks. Efficient, novel and robust algorithm which is combination of both k-Means clustering and Particle Swarm Optimization is proposed in order to allocate DGs. Proposed algorithm clusters distribution network buses and selects to most proper cluster to allocate DG in this way it reduces possible buses. Furthermore, sizing and generation constraints of DGs are quite important for allocation. Therefore, several cases including different DG sizes and types are implemented to obtain the best results. Moreover, multiple DG cases are included in the study. Finally, DGs have considered as wind turbines for best cases and cases have analysed in 24 hourly bases including uncertainties both demand and production side. 33 Bus test feeder power losses are reduced up to 69%, 86%, 90% at best cases and 39%, 53%, 55% at including uncertainties by proposed algorithm for cases 1, 2, 3 DG installed, respectively.

scholarly journals Bottom-Up Generation of Peak Demand Scenarios in Water Distribution Networks

2020 ◽  
Vol 13 (1) ◽  
pp. 31
Author(s):  
Enrico Creaco ◽  
Giacomo Galuppini ◽  
Alberto Campisano ◽  
Marco Franchini
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Peak Demand ◽  
Long Time ◽  
Cross Correlations ◽  
User Demand ◽  
One Year ◽  
The One ◽  
Best Fit

This paper presents a two-step methodology for the stochastic generation of snapshot peak demand scenarios in water distribution networks (WDNs), each of which is based on a single combination of demand values at WDN nodes. The methodology describes the hourly demand at both nodal and WDN scales through a beta probabilistic model, which is flexible enough to suit both small and large demand aggregations in terms of mean, standard deviation, and skewness. The first step of the methodology enables generating separately the peak demand samples at WDN nodes. Then, in the second step, the nodal demand samples are consistently reordered to build snapshot demand scenarios for the WDN, while respecting the rank cross-correlations at lag 0. The applications concerned the one-year long dataset of about 1000 user demand values from the district of Soccavo, Naples (Italy). Best-fit scaling equations were constructed to express the main statistics of peak demand as a function of the average demand value on a long-time horizon, i.e., one year. The results of applications to four case studies proved the methodology effective and robust for various numbers and sizes of users.

scholarly journals Co-Simulation Framework for Optimal Allocation and Power Management of DGs in Power Distribution Networks Based on Computational Intelligence Techniques

Electronics ◽  
2021 ◽  
Vol 10 (14) ◽  
pp. 1648
Author(s):  
Marinko Barukčić ◽  
Toni Varga ◽  
Vedrana Jerković Jerković Štil ◽  
Tin Benšić
Keyword(s):  
Power System ◽  
Power Management ◽  
Computational Intelligence ◽  
Input Data ◽  
Optimization Problem ◽  
Optimal Allocation ◽  
Distribution Networks ◽  
Distributed Generations ◽  
Data Resolution ◽  
The Impact

The paper researches the impact of the input data resolution on the solution of optimal allocation and power management of controllable and non-controllable renewable energy sources distributed generation in the distribution power system. Computational intelligence techniques and co-simulation approach are used, aiming at more realistic system modeling and solving the complex optimization problem. The optimization problem considers the optimal allocation of all distributed generations and the optimal power control of controllable distributed generations. The co-simulation setup employs a tool for power system analysis and a metaheuristic optimizer to solve the optimization problem. Three different resolutions of input data (generation and load profiles) are used: hourly, daily, and monthly averages over one year. An artificial neural network is used to estimate the optimal output of controllable distributed generations and thus significantly decrease the dimensionality of the optimization problem. The proposed procedure is applied on a 13 node test feeder proposed by the Institute of Electrical and Electronics Engineers. The obtained results show a huge impact of the input data resolution on the optimal allocation of distributed generations. Applying the proposed approach, the energy losses are decreased by over 50–70% by the optimal allocation and control of distributed generations depending on the tested network.

scholarly journals Soil shrinkage and consolidation study on flood embankments in swamp irrigation areas

2021 ◽  
pp. 101-110 ◽  
Author(s):  
Lusmeilia Afriani ◽  
Gatot Eko Susilo ◽  
Sri Nawangrini ◽  
Iswan Iswan
Keyword(s):  
Laboratory Tests ◽  
Linear Shrinkage ◽  
Soil Samples ◽  
Field Observations ◽  
Soil Consolidation ◽  
North East ◽  
Soil Shrinkage ◽  
Embankment Height ◽  
The One ◽  
Downstream Area

Research in this paper discusses shrinking and consolidation of flood embankments soil in swamp irrigation areas. The flood embankments are made from swampy soil materials. The focus of this research is the reduction of dyke embankment height that occurs due to soil shrinkage and soil consolidation. Investigations about the time of consolidation and land subsidence that occurred on the embankment at certain periods after the embankment established were also carried out in this study. The research sites are some swamp irrigation areas in the Tulang Bawang Watershed, around North-East Lampung, Indonesia. This research was carried out by conducting laboratory tests on soil samples and field observations on the reduction in height of flood embankments in the study area. The research shows that the main cause of total decrease on the embankment is due to linear shrinkage, consolidation of soil under the embankment, an immediate subsidence, and the subsidence of the embankment themselves. Their contribution to total decrease of embankment is 42.51%, 34.48%, 18.32%, and 4.62%, respectively. Results also indicate that the ratio between the percentage of embankment consolidation in downstream area happen faster than the one in upstream area of the river.

RISK MANAGEMENT SYSTEM IN THE CUSTOMS POLICY MECHANISM

2020 ◽  
Vol 13 (2) ◽  
pp. 51-57
Author(s):  
V.N. Glaz ◽  
◽  
V.I. Berezhnoy ◽  
T.G. Martseva ◽  
E.V. Berezhnaya ◽  
...  
Keyword(s):  
Public Relations ◽  
Economic Activity ◽  
The State ◽  
The Other ◽  
State Control ◽  
Economic Interests ◽  
Economic Relations ◽  
International Economic Relations ◽  
Common Interests ◽  
The One

The mechanism of public policy in the regulation of public relations is built on the skillful combination of prohibitions of restrictions on the one hand, and laxity and opportunities on the other. But weakening state control may increase the level of risk to relationships. This is most clearly evident in international economic relations, where not only individual States that assume responsibility by becoming parties to conventions, agreements and treaties, but also individuals and entities that do not always support the policy of the State in the practice of implementing signed contracts, are parties. Russia pays special attention to a reasonable combination of the country’s economic interests and common interests within the framework of integration associations. The Russian customs authorities, represented by the Federal Customs Service, are one of the agents of state policy in this regard. The purpose of the activity is not only to administer the revenues from foreign economic activity to the budget, but also to protect the economic interests of the state, the participants of the foreign economic activity, professional intermediaries and individual consumers. Therefore, the development of a comprehensive policy of monitoring and assessment of customs risks will reduce the efforts of customs authorities to prevent possible offenses, and thus protect the interests of participants in foreign trade at any level.

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