Load Flow with Uncertain Loading and Generation in Future Smart Grids

2011 ◽  
pp. 117-156
Author(s):  
Olav Krause ◽  
Sebastian Lehnhoff
Keyword(s):  
Smart Grids ◽  
Load Flow

Measurement uncertainty impact on simplified load flow analysis in MV smart grids

2018 ◽  
Author(s):  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Salvatore Guaiana ◽  
Salvatore Nuccio ◽  
Dario Di Cara ◽  
...  
Keyword(s):  
Measurement Uncertainty ◽  
Smart Grids ◽  
Flow Analysis ◽  
Load Flow ◽  
Load Flow Analysis

New measurement procedure for load flow evaluation in medium voltage smart grids

2013 ◽  
Author(s):  
Antonio Cataliotti ◽  
Pierluca Russotto ◽  
Dario Di Cara ◽  
Enrico Telaretti ◽  
Giovanni Tine
Keyword(s):  
Smart Grids ◽  
Measurement Procedure ◽  
Load Flow ◽  
Medium Voltage

scholarly journals Incremental Heuristic Approach for Meter Placement in Radial Distribution Systems

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3917 ◽  
Author(s):  
Giovanni Artale ◽  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Dario Di Cara ◽  
Salvatore Guaiana ◽  
...  
Keyword(s):  
Radial Distribution ◽  
Power Distribution ◽  
Smart Grids ◽  
Distribution Systems ◽  
Low Voltage ◽  
Distribution Network ◽  
Load Flow ◽  
State Variables ◽  
Medium Voltage ◽  
Meter Placement

The evolution of modern power distribution systems into smart grids requires the development of dedicated state estimation (SE) algorithms for real-time identification of the overall system state variables. This paper proposes a strategy to evaluate the minimum number and best position of power injection meters in radial distribution systems for SE purposes. Measurement points are identified with the aim of reducing uncertainty in branch power flow estimations. An incremental heuristic meter placement (IHMP) approach is proposed to select the locations and total number of power measurements. The meter placement procedure was implemented for a backward/forward load flow algorithm proposed by the authors, which allows the evaluation of medium-voltage power flows starting from low-voltage load measurements. This allows the reduction of the overall costs of measurement equipment and setup. The IHMP method was tested in the real 25-bus medium-voltage (MV) radial distribution network of the Island of Ustica (Mediterranean Sea). The proposed method is useful both for finding the best measurement configuration in a new distribution network and also for implementing an incremental enhancement of an existing measurement configuration, reaching a good tradeoff between instrumentation costs and measurement uncertainty.

A simplified approach for load flow analysis in MV smart grids based on LV power measurements

2017 ◽  
Author(s):  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Salvatore Nuccio ◽  
Dario Di Cara ◽  
Nicola Panzavecchia ◽  
...  
Keyword(s):  
Smart Grids ◽  
Flow Analysis ◽  
Load Flow ◽  
Simplified Approach ◽  
Load Flow Analysis ◽  
Power Measurements

scholarly journals Effect of Individual Volt/var Control Strategies in LINK-Based Smart Grids with a High Photovoltaic Share

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5641
Author(s):  
Daniel-Leon Schultis ◽  
Albana Ilo
Keyword(s):  
Local Control ◽  
Smart Grids ◽  
Reactive Power ◽  
Low Voltage ◽  
Control Strategies ◽  
Load Flow ◽  
Electric Power System ◽  
Mobility Control ◽  
Holistic View ◽  
Voltage Limit

The increasing share of distributed energy resources aggravates voltage limit compliance within the electric power system. Nowadays, various inverter-based Volt/var control strategies, such as cosφ(P) and Q(U), for low voltage feeder connected L(U) local control and on-load tap changers in distribution substations are investigated to mitigate the voltage limit violations caused by the extensive integration of rooftop photovoltaics. This study extends the L(U) control strategy to X(U) to also cover the case of a significant load increase, e.g., related to e-mobility. Control ensembles, including the reactive power autarky of customer plants, are also considered. All Volt/var control strategies are compared by conducting load flow calculations in a test distribution grid. For the first time, they are embedded into the LINK-based Volt/var chain scheme to provide a holistic view of their behavior and to facilitate systematic analysis. Their effect is assessed by calculating the voltage limit distortion and reactive power flows at different Link-Grid boundaries, the corresponding active power losses, and the distribution transformer loadings. The results show that the control ensemble X(U) local control combined with reactive power self-sufficient customer plants performs better than the cosφ(P) and Q(U) local control strategies and the on-load tap changers in distribution substations.

Load Flow Analysis in Smart Grids

2019 ◽  
pp. 187-199
Author(s):  
Osman Hasan ◽  
Awais Mahmood ◽  
Syed Rafay Hasan
Keyword(s):  
Computational Intelligence ◽  
Smart Grids ◽  
Flow Analysis ◽  
Vital Role ◽  
Load Flow ◽  
Power Grids ◽  
Safety Critical ◽  
Load Flow Analysis ◽  
Comprehensive Survey ◽  
The Given

Load flow analysis is widely used to estimate the flow of various electrical parameters such as the voltage, current, and power in power grids. These estimates allow us to effectively and reliably manage the given grid under random and uncertain conditions. Given the enormous amount of randomness and uncertainties in the factors that affect the smart grids, compared to traditional power grids, a complete and rigorous load flow analysis holds a vital role in ensuring the reliability of this safety-critical domain. In this chapter, the authors describe smart grids in terms of their basic components and then categorize the factors that affect the loads in smart grids. This is followed by a comprehensive survey of various existing load flow analysis techniques (i.e., numerical, computational intelligence, and probabilistic).

An Innovative Measurement Approach for Load Flow Analysis in MV Smart Grids

2016 ◽  
Vol 7 (2) ◽  
pp. 889-896 ◽  
Author(s):  
Antonio Cataliotti ◽  
Valentina Cosentino ◽  
Dario Di Cara ◽  
Pierluca Russotto ◽  
Enrico Telaretti ◽  
...  
Keyword(s):  
Smart Grids ◽  
Flow Analysis ◽  
Load Flow ◽  
Load Flow Analysis ◽  
Measurement Approach

scholarly journals Three-Phase Feeder Load Balancing Based Optimized Neural Network Using Smart Meters

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2195
Author(s):  
Lina Alhmoud ◽  
Qosai Nawafleh ◽  
Waled Merrji
Keyword(s):  
Neural Network ◽  
Distribution System ◽  
Smart Grids ◽  
Distribution Systems ◽  
Load Flow ◽  
Hybrid Technique ◽  
Smart Meters ◽  
Flow Equations ◽  
Feed Forward Back Propagation ◽  
Three Phases

The electricity distribution system is the coupling point between the utility and the end-user. Typically, these systems have unbalanced feeders due to the variety of customers’ behaviors. Some significant problems occur; the unbalanced loads increase the operational cost and system investment. In radial distribution systems, swapping loads between the three phases is the most effective method for phase balancing. It is performed manually and subjected to load flow equations, capacity, and voltage constraints. Recently, due to smart grids and automated networks, dynamic phase balancing received more attention, thus swapping the loads between the three phases automatically when unbalance exceeds permissible limits by using a remote-controlled phase switch selector/controller. Automatic feeder reconfiguration and phase balancing eliminates the service interruption, enhances energy restoration, and minimize losses. In this paper, a case study from the Irbid district electricity company (IDECO) is presented. Optimal reconfiguration of phase balancing using three techniques: feed-forward back-propagation neural network (FFBPNN), radial basis function neural network (RBFNN), and a hybrid are proposed to control the switching sequence for each connected load. The comparison shows that the hybrid technique yields the best performance. This work is simulated using MATLAB and C programming language.

scholarly journals A Novel Algorithm with Multiple Consumer Demand Response Priorities in Residential Unbalanced LV Electricity Distribution Networks

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1220
Author(s):  
Ovidiu Ivanov ◽  
Samiran Chattopadhyay ◽  
Soumya Banerjee ◽  
Bogdan-Constantin Neagu ◽  
Gheorghe Grigoras ◽  
...  
Keyword(s):  
Demand Response ◽  
Distribution System ◽  
Smart Grids ◽  
Low Voltage ◽  
Distribution Networks ◽  
Load Flow ◽  
Electricity Distribution ◽  
Energy Management Systems ◽  
Home Energy Management ◽  
Novel Algorithm

Demand Side Management (DSM) is becoming necessary in residential electricity distribution networks where local electricity trading is implemented. Amongst the DSM tools, Demand Response (DR) is used to engage the consumers in the market by voluntary disconnection of high consumption receptors at peak demand hours. As a part of the transition to Smart Grids, there is a high interest in DR applications for residential consumers connected in intelligent grids which allow remote controlling of receptors by electricity distribution system operators and Home Energy Management Systems (HEMS) at consumer homes. This paper proposes a novel algorithm for multi-objective DR optimization in low voltage distribution networks with unbalanced loads, that takes into account individual consumer comfort settings and several technical objectives for the network operator. Phase load balancing, two approaches for minimum comfort disturbance of consumers and two alternatives for network loss reduction are proposed as objectives for DR. An original and faster method of replacing load flow calculations in the evaluation of the feasible solutions is proposed. A case study demonstrates the capabilities of the algorithm.

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