A NOVEL APPROACH OF INTELLIGENT LOAD SCHEDULING IN SMART GRID ENVIRONMENT

2016 ◽  
Vol 78 (9) ◽  
Author(s):  
Sofana Reka S ◽  
Ramesh V
Keyword(s):  
Smart Grid ◽  
Power Distribution ◽  
Distribution Systems ◽  
Smart Meters ◽  
Power Distribution Network ◽  
Grid Environment ◽  
Power Outage ◽  
Load Scheduling ◽  
Novel Approach ◽  
Load Monitoring

The deployment of smart meters in distribution systems provides an excellent pathway for load monitoring in the future smart grid paradigm. The proposed methodology involves a novel idea of power distribution optimization from the substation level. This paper elaborates a model by identifying the dynamic intelligent load scheduling problem and the approach is simple with less complexity thereby reducing the power outage time at the end users. This solution can be easily applicable to power distribution network using smart grid concepts and develops a load scheduling architecture. The problem efficiency is explained clearly which enhances the idea when the consumption among users is centrally available and it is easy to generate bills without errors. The main focus of this paper is modelling the loads in consumer side targeting an optimal scheduling .The proposed system is implemented in a realistic scenario and the obtained results exhibits effectiveness of the model.

Research on Single-Phase Grounding Fault in Distribution Networks with a DC Power Positioning Method

2014 ◽  
Vol 530-531 ◽  
pp. 353-356
Author(s):  
Run Sheng Li
Keyword(s):  
Power Distribution ◽  
Single Phase ◽  
Distribution Network ◽  
Distribution Networks ◽  
Power Distribution Network ◽  
Power Outage ◽  
Location Method ◽  
Fault Resistance ◽  
Ground Fault ◽  
Positioning Method

Due to the high ground fault resistance and the complexity of power distribution network structure (such as too many nodes, branches and too long lines), adopting common traveling wave method and ac injection method can not effectively locate the single-phase grounding fault in the distribution network system.To solve above problems and determine the position of the point of failure prisely, this paper adopted the dc location method of injecting the dc signal from the point of failure under the power outage offline. This paper introduces the single phase dc method and the method of three phase dc, and the simulation shows that the dc location method is effective and feasible.

Smart Grid Topologies Paving the Way for an Urban Resilient Continuity Management

2022 ◽  
pp. 1335-1359
Author(s):  
Sadeeb Simon Ottenburger ◽  
Thomas Münzberg ◽  
Misha Strittmatter
Keyword(s):  
Smart Grid ◽  
Power Distribution ◽  
Smart Grids ◽  
Power Flow ◽  
Operation Mode ◽  
Urban Resilience ◽  
Power Distribution Network ◽  
Vast Number ◽  
Adequate Provision ◽  
Advanced Metering

The generation and supply of electricity is currently about to undergo a fundamental transition that includes extensive development of smart grids. Smart grids are huge and complex networks consisting of a vast number of devices and entities which are connected with each other. This opens new variations of disruption scenarios which can increase the vulnerability of a power distribution network. However, the network topology of a smart grid has significant effects on urban resilience particularly referring to the adequate provision of infrastructures. Thus, topology massively codetermines the degree of urban resilience, i.e. different topologies enable different strategies of power distribution. Therefore, this article introduces a concept of criticality adapted to a power system relying on an advanced metering infrastructure. The authors propose a two-stage operationalization of this concept that refers to the design phase of a smart grid and its operation mode, targeting at an urban resilient power flow during power shortage.

Research on the Voltage Influence of Active Distribution Network with Distributed Generation Access

2014 ◽  
Vol 668-669 ◽  
pp. 749-752 ◽  
Author(s):  
Xiao Yi Zhou ◽  
Ling Yun Wang ◽  
Wen Yue Liang ◽  
Li Zhou
Keyword(s):  
Distributed Generation ◽  
Power Distribution ◽  
Distribution System ◽  
Power Flow ◽  
Distribution Network ◽  
Distribution Networks ◽  
Power Distribution Network ◽  
Active Distribution Network ◽  
Novel Approach ◽  
Active Distribution Networks

Distributed generation (DG) has an important influence on the voltage of active distribution networks. A unidirectional power distribution network will be transformed into a bidirectional, multiple power supply distribution network after DGs access to the distribution network and the direction of power flow is also changed. Considering the traditional forward and backward substitution algorithm can only deal with the equilibrium node and PQ nodes, so the other types of DGs should be transformed into PQ nodes, then its impact on active distribution network can be analyzed via the forward and backward substitution algorithm. In this paper, the characteristics of active distribution networks are analyzed firstly and a novel approach is proposed to convert PI nodes into PQ nodes. Finally, a novel forward and backward substitution algorithm is adopted to calculate the power flow of the active distribution network with DGs. Extensive validation of IEEE 18 and 33 nodes distribution system indicates that this method is feasible. Numerical results show that when DG is accessed to the appropriate location with proper capacity, it has a significant capability to support the voltages level of distribution system.

Distributed Generation Placement for Power Distribution Networks

2014 ◽  
Vol 24 (01) ◽  
pp. 1550009 ◽  
Author(s):  
Xiaodao Chen ◽  
Shiyan Hu
Keyword(s):  
Smart Grid ◽  
Distributed Generation ◽  
Power Distribution ◽  
Power Loss ◽  
Distribution Systems ◽  
Optimization Technique ◽  
Electrical Power ◽  
Distribution Networks ◽  
Ocean Energy ◽  
Electrical Power System

Growing concerns on the energy crisis impose great challenges in development and deployment of the smart grid technologies into the existing electrical power system. A key enabling technology in smart grid is distributed generation, which refers to the technology that power generating sources are located in a highly distributed fashion and each customer is both a consumer and a producer for energy. An important optimization problem in distributed generation design is the insertion of distributed generators (DGs), which are often renewable resources exploiting e.g., photovoltaic, hydro, wind, ocean energy. In this paper, a new power loss filtering based sensitivity guided cross entropy (CE) algorithm is proposed for the distributed generator insertion problem. This algorithm is based on the advanced CE optimization technique which exploits the idea of importance sampling in performing optimization. Our experimental results demonstrate that on large distribution networks, our algorithm can largely reduce (up to 179.3%) power loss comparing to a state-of-the-art sensitivity guided greedy algorithm with small runtime overhead. In addition, our algorithm runs about 5× faster than the classical CE algorithm due to the integration of power loss filtering and sensitivity optimization. Moreover, all existing techniques only test on very small distribution systems (usually with < 50 nodes) while our experiments are performed on the distribution networks with up to 5000 nodes, which matches the realistic setup. These demonstrate the practicality of the proposed algorithm.

Planning of Distribution System with High Penetration Level for Distributed Generation in Smart Grid

2018 ◽  
Vol 8 (3) ◽  
Author(s):  
Reza Tajik
Keyword(s):  
Smart Grid ◽  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Distribution Networks ◽  
Planning Problem ◽  
Renewable Energy Resources ◽  
Power Distribution System ◽  
High Penetration

Nowadays, the utilization of renewable energy resources in distribution systems (DSs) has been rapidly increased. Since distribution generation (DG) use renewable resources (i.e., biomass, wind and solar) are emerging as proper solutions for electricity generation. Regarding the tremendous deployment of DG, common distribution networks are undergoing a transition to DSs, and the common planning methods have become traditional in the high penetration level. Indeed, in conformity with the voltage violation challenge of these resources, this problem must be dealt with too. So, due to the high penetration of DG resources and nonlinear nature of most industrial loads, the planning of DG installation has become an important issue in power systems. The goal of this paper is to determine the planning of DG in distribution systems through smart grid to minimize losses and control grid factors. In this regard, the present work intending to propose a suitable method for the planning of DSs, the key properties of DS planning problem are evaluated from the various aspects, such as the allocation of DGs, and planning, and high-level uncertainties. Also depending on these analyses, this universal literature review addressed the updated study associated with DS planning. In this work, an operational design has been prepared for a higher performance of the power distribution system in the presence of DG. Artificial neural network (ANN) has been used as a method for voltage monitoring and generation output optimization. The findings of the study show that the proposed method can be utilized as a technique to improve the process of the distribution system under various penetration levels and in the presence of DG. Also, the findings revealed that the optimal use of ANN method leads to more controllable and apparent DS.

A Survey on Smart Grid Distributed Power Flow: IEC61850, IEC 61499 and Intelligent Controls

2014 ◽  
Vol 573 ◽  
pp. 346-351
Author(s):  
G.S. Satheesh Kumar ◽  
Chinnadurai Nagarajan ◽  
M. Lizzy Nesa Bagyam
Keyword(s):  
Renewable Energy ◽  
Smart Grid ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Greenhouse Gas Emission ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Reconfigurable Software ◽  
Iec 61499

A Recent concept of distribution infrastructure plays a vital role in the efficient utilization of energy. To avoid global warming and greenhouse gas emission, carbon based power plant should be replaced with distributed renewable energy (DRE) such as wind, solar etc. Renewable energy resources can be integrated to grid by intelligent electronic devices (IED). This paper deals with the novel automation architecture that supports power distribution systems to avoid power blackout and also it briefs the major requirement of the smart grid distribution system needed for a competitive world. International standard IEC 61850 and IEC 61499 provides a solution for substation automation through intelligent logical nodes (ILNs) which enhances interoperability and configurability.Later an open source platform is used for enhancing the communication that automatically generates the data model and communication nodes for intelligent electronic devices.However for future requirements in smart grid, the addition of new functions as well as the adaptation of function for IEDs is necessary. A concept of reconfigurable software architecture is introduced for integrating distributed and renewable energy resources. Such interfaces and services provide adaptation of the functional structure and contribute efficient Smart Grid system. This survey summarizes the communication infrastructure of smart energy system.

scholarly journals MACHINE LEARNING AND IOT FOR SMART GRID

2020 ◽  
Vol XLIV-4/W3-2020 ◽  
pp. 233-240
Author(s):  
M. Fouad ◽  
R. Mali ◽  
A. Lmouatassime ◽  
M. Bousmah
Keyword(s):  
Machine Learning ◽  
Energy Consumption ◽  
Smart Grid ◽  
Power Distribution ◽  
Short Term Memory ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Smart Meters ◽  
Power Distribution Networks ◽  
Electricity Grid

Abstract. The current electricity grid is no longer an efficient solution due to increasing user demand for electricity, old infrastructure and reliability issues requires a transformation to a better grid which is called Smart Grid (SG). Also, sensor networks and Internet of Things (IoT) have facilitated the evolution of traditional electric power distribution networks to new SG, these networks are a modern electricity grid infrastructure with increased efficiency and reliability with automated control, high power converters, modern communication infrastructure, sensing and measurement technologies and modern energy management techniques based on optimization of demand, energy and availability network. With all these elements, harnessing the science of Artificial Intelligence (AI) and Machine Learning (ML) methods become better used than before for prediction of energy consumption. In this work we present the SG with their architecture, the IoT with the component architecture and the Smart Meters (SM) which play a relevant role for the collection of information of electrical energy in real time, then we treat the most widely used ML methods for predicting electrical energy in buildings. Then we clarify the relationship and interaction between the different SG, IoT and ML elements through the design of a simple to understand model, composed of layers that are grouped into entities interacting with links. In this article we calculate a case of prediction of the electrical energy consumption of a real Dataset with the two methods Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM), given their precision performances.

Layered Model Algorithm and its Application in Fault Detection of Power Distribution Network

2014 ◽  
Vol 644-650 ◽  
pp. 2577-2580
Author(s):  
Xiao Quan Li ◽  
Shuai Liu ◽  
Wei Qun Yang
Keyword(s):  
Fault Detection ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Distribution Network ◽  
Source Distribution ◽  
Power Distribution Network ◽  
Layered Model ◽  
The One ◽  
Model Algorithm

In the case that a single fault occurs on a power feeder in the one-source distribution system, the directional layered model of the network which reflects the layered topological characteristic of the network was built up. Then a new algorithm for fault detection in power distribution network was proposed to locate the faulty sections in distribution feeder network. The algorithm itself as well as its program design is simple. It can be applied to complex distribution systems with multi-sources. It is proved correct by an example.

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