scholarly journals Evolution of the Electricity Distribution Networks—Active Management Architecture Schemes and Microgrid Control Functionalities

2021 ◽  
Vol 11 (6) ◽  
pp. 2793
Author(s):  
Katja H. Sirviö ◽  
Hannu Laaksonen ◽  
Kimmo Kauhaniemi ◽  
Nikos Hatziargyriou
Keyword(s):  
Smart Grids ◽  
Low Voltage ◽  
Unified Modeling Language ◽  
Distribution Networks ◽  
Active Management ◽  
Modeling Language ◽  
Electricity Distribution ◽  
Management Architecture ◽  
Network Operations ◽  
Microgrid Control

The power system transition to smart grids brings challenges to electricity distribution network development since it involves several stakeholders and actors whose needs must be met to be successful for the electricity network upgrade. The technological challenges arise mainly from the various distributed energy resources (DERs) integration and use and network optimization and security. End-customers play a central role in future network operations. Understanding the network’s evolution through possible network operational scenarios could create a dedicated and reliable roadmap for the various stakeholders’ use. This paper presents a method to develop the evolving operational scenarios and related management schemes, including microgrid control functionalities, and analyzes the evolution of electricity distribution networks considering medium and low voltage grids. The analysis consists of the dynamic descriptions of network operations and the static illustrations of the relationships among classified actors. The method and analysis use an object-oriented and standardized software modeling language, the unified modeling language (UML). Operational descriptions for the four evolution phases of electricity distribution networks are defined and analyzed by Enterprise Architect, a UML tool. This analysis is followed by the active management architecture schemes with the microgrid control functionalities. The graphical models and analysis generated can be used for scenario building in roadmap development, real-time simulations, and management system development. The developed method, presented with high-level use cases (HL-UCs), can be further used to develop and analyze several parallel running control algorithms for DERs providing ancillary services (ASs) in the evolving electricity distribution networks.

scholarly journals Predictive Voltage Control: Empowering Domestic Customers With a Key Role in the Active Management of LV Networks

2020 ◽  
Vol 10 (7) ◽  
pp. 2635
Author(s):  
Micael Simões ◽  
André G. Madureira
Keyword(s):  
Distribution System ◽  
Smart Grids ◽  
Low Voltage ◽  
Voltage Control ◽  
Distribution Networks ◽  
Active Management ◽  
Storage Devices ◽  
Home Energy Management ◽  
System Operator ◽  
Home Energy Management System

In order to avoid voltage problems derived from the connection of large amounts of renewable-based generation to the electrical distribution system, new advanced tools need to be developed that are able to exploit the presence of Distributed Energy Resources (DER). This paper describes the approach proposed for a predictive voltage control algorithm to be used in Low Voltage (LV) distribution networks in order to make use of available flexibilities from domestic consumers via their Home Energy Management System (HEMS) and more traditional resources from the Distribution System Operator (DSO), such as transformers with On-Load Tap Changer (OLTC) and storage devices. The proposed algorithm—the Low Voltage Control (LVC)—is detailed in this paper. The algorithm was tested through simulation using a real Portuguese LV network and real consumption and generation data, in order to evaluate its performance in preparation for a field-trial validation in a Portuguese smart grids pilot.

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.

scholarly journals Flexible Active Power Control for PV-ESS Systems: A Review

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7388
Author(s):  
Xiangqiang Wu ◽  
Tamas Kerekes
Keyword(s):  
Energy Storage ◽  
Solar Energy ◽  
Power Control ◽  
Smart Grids ◽  
Low Voltage ◽  
Storage Systems ◽  
Distribution Networks ◽  
Active Power ◽  
Energy Storage Systems ◽  
Active Power Control

The penetration of solar energy in the modern power system is still increasing with a fast growth rate after long development due to reduced environmental impact and ever-decreasing photovoltaic panel cost. Meanwhile, distribution networks have to deal with a huge amount and frequent fluctuations of power due to the intermittent nature of solar energy, which influences the grid stability and could cause a voltage rise in the low-voltage grid. In order to reduce these fluctuations and ensure a stable and reliable power supply, energy storage systems are introduced, as they can absorb or release energy on demand, which provides more control flexibility for PV systems. At present, storage technologies are still under development and integrated in renewable applications, especially in smart grids, where lowering the cost and enhancing the reliability are the main tasks. This study reviews and discusses several active power control strategies for hybrid PV and energy storage systems that deliver ancillary services for grid support. The technological advancements and developments of energy storage systems in grid-tied PV applications are also reviewed.

scholarly journals Review of Voltage and Reactive Power Control Algorithms in Electrical Distribution Networks

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 58 ◽  
Author(s):  
Daiva Stanelyte ◽  
Virginijus Radziukynas
Keyword(s):  
Smart Grids ◽  
Reactive Power ◽  
Low Voltage ◽  
Distribution Networks ◽  
Power Grids ◽  
Renewable Energy Resources ◽  
Distribution Grid ◽  
Harmonic Compensation ◽  
Distributed Power Generation ◽  
Control Devices

The traditional unidirectional, passive distribution power grids are rapidly developing into bidirectional, interactive, multi-coordinated smart grids that cover distributed power generation along with advanced information communications and electronic power technologies. To better integrate the use of renewable energy resources into the grid, to improve the voltage stability of distribution grids, to improve the grid protection and to reduce harmonics, one needs to select and control devices with adjustable reactive power (capacitor batteries, transformers, and reactors) and provide certain solutions so that the photovoltaic (PV) converters maintain due to voltage. Conventional compensation methods are no longer appropriate, thus developing measures are necessary that would ensure local reactive and harmonic compensation in case an energy quality problem happens in the low voltage distribution grid. Compared to the centralized methods, artificial intelligence (heuristic) methods are able to distribute computing and communication tasks among control devices.

scholarly journals Optimal Capacitor Bank Allocation in Electricity Distribution Networks Using Metaheuristic Algorithms

Energies ◽  
2019 ◽  
Vol 12 (22) ◽  
pp. 4239 ◽  
Author(s):  
Ivanov ◽  
Neagu ◽  
Grigoras ◽  
Gavrilas
Keyword(s):  
Optimization Algorithm ◽  
Smart Grids ◽  
Reactive Power ◽  
Distribution Networks ◽  
Operating Conditions ◽  
Metaheuristic Algorithms ◽  
System Level ◽  
Electricity Distribution ◽  
Capacitor Banks ◽  
Whale Optimization

Energy losses and bus voltage levels are key parameters in the operation of electricity distribution networks (EDN), in traditional operating conditions or in modern microgrids with renewable and distributed generation sources. Smart grids are set to bring hardware and software tools to improve the operation of electrical networks, using state-of the art demand management at home or system level and advanced network reconfiguration tools. However, for economic reasons, many network operators will still have to resort to low-cost management solutions, such as bus reactive power compensation using optimally placed capacitor banks. This paper approaches the problem of power and energy loss minimization by optimal allocation of capacitor banks (CB) in medium voltage (MV) EDN buses. A comparison is made between five metaheuristic algorithms used for this purpose: the well-established Genetic Algorithm (GA); Particle Swarm Optimization (PSO); and three newer metaheuristics, the Bat Optimization Algorithm (BOA), the Whale Optimization Algorithm (WOA) and the Sperm-Whale Algorithm (SWA). The algorithms are tested on the IEEE 33-bus system and on a real 215-bus EDN from Romania. The newest SWA algorithm gives the best results, for both test systems.

scholarly journals Mosaik and PADE: Multiagents and Co-simulation for smart grids modeling

2020 ◽  
Vol 27 (2) ◽  
pp. 107-115
Author(s):  
Lucas Silveira Melo ◽  
Filipe Saraiva ◽  
Ruth Leão ◽  
Raimundo Furtado Sampaio ◽  
Giovanni Cordeiro Barroso
Keyword(s):  
Distributed Generation ◽  
Smart Grids ◽  
Low Voltage ◽  
Electricity Distribution ◽  
Multi Agent Systems ◽  
Distribution Grid ◽  
Distributed Generations ◽  
Agent Systems ◽  
Multi Agent ◽  
Study Case

This paper describes the integration process between two tools in order to perform co-simulation for representation and analysis of dynamic environments in the context of smart grids. The integrated tools are Mosaik, a software to co-simulation management, and PADE, a software to multi-agent systems development. As a study case for demonstrate the integration, a scenary was utilized composed of a low voltage electricity distribution grid with 37 load bus, 20 photo-voltaic distributed generations, randomly connected to load bus, as well as, 20 PADE agents associated to distributed generation, modeling the behavior of electricity storage systems. The simulation results show the integration happening and demonstrate how useful is to model the dynamics of distributed electric resources with multi-agent systems.

A Comprehensive Review on Energy Saving Options and Saving Potential in Low Voltage Electricity Distribution Networks: Building and Public Lighting

2021 ◽  
pp. 103064
Author(s):  
Omid Sadeghian ◽  
Arash Moradzadeh ◽  
Behnam Mohammadi-Ivatloo ◽  
Mehdi Abapour ◽  
Amjad Anvari-Moghaddam ◽  
...  
Keyword(s):  
Energy Saving ◽  
Low Voltage ◽  
Distribution Networks ◽  
Electricity Distribution ◽  
Comprehensive Review

scholarly journals Practical Method for Data-Driven User Phase Identification in Low-Voltage Distribution Networks

2021 ◽  
Vol 9 ◽  
Author(s):  
Huang Yu ◽  
Yufeng Wu ◽  
Weiling Guan ◽  
Daolu Zhang ◽  
Tao Yu ◽  
...  
Keyword(s):  
Smart Grids ◽  
Distribution Systems ◽  
Low Voltage ◽  
Phase Distribution ◽  
Distribution Networks ◽  
Data Driven ◽  
Phase Identification ◽  
Identification Algorithm ◽  
Voltage Distribution ◽  
Phase Connectivity

For low-voltage distribution networks (LVDNs), accurate models depicting network and phase connectivity are crucial to the analysis, planning, and operation of these networks. However, phase connectivity data in the LVDN are usually incorrect or missing. Wrong or incomplete phase information collected could lead to unbalanced operation of three-phase distribution systems and increased power loss. Based on the advanced measurement infrastructure (AMI) in the development of smart grids, in this study, a novel data-driven phase identification algorithm is proposed. Firstly, the method involves extracting features from voltage–time matrices using a non-linear dimension reduction algorithm. Secondly, the density-based spatial clustering of applications with noise (DBSCAN) algorithm is used to divide customers into clusters with arbitrary shape. Finally, the algorithms were tested with the IEEE European Low Voltage Test Feeder of the IEEE PES AMPS DSAS Test Feeder working group. The results showed an accuracy of over 90% for the method.

Sign in / Sign up

Export Citation Format

Share Document