scholarly journals Support Matrix Regression for Learning Power Flow in Distribution Grid with Unobservability

2021 ◽  
pp. 1-1
Author(s):  
Jingyi Yuan ◽  
Yang Weng
Keyword(s):  
Power Flow ◽  
Distribution Grid ◽  
Support Matrix

scholarly journals Progresses in Analytical Design of Distribution Grids and Energy Storage

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4270
Author(s):  
Gianpiero Colangelo ◽  
Gianluigi Spirto ◽  
Marco Milanese ◽  
Arturo de Risi
Keyword(s):  
Renewable Energy ◽  
Power Flow ◽  
State Of The Art ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Distribution Grid ◽  
Mathematical Methods ◽  
Power Generators ◽  
Bidirectional Power Flow ◽  
Distribution Grids

In the last years, a change in the power generation paradigm has been promoted by the increasing use of renewable energy sources combined with the need to reduce CO2 emissions. Small and distributed power generators are preferred to the classical centralized and sizeable ones. Accordingly, this fact led to a new way to think and design distributions grids. One of the challenges is to handle bidirectional power flow at the distribution substations transformer from and to the national transportation grid. The aim of this paper is to review and analyze the different mathematical methods to design the architecture of a distribution grid and the state of the art of the technologies used to produce and eventually store or convert, in different energy carriers, electricity produced by renewable energy sources, coping with the aleatory of these sources.

scholarly journals To study the voltage stability limits of distributed generation using induction machine in distribution networks

2013 ◽  
Vol 16 (2) ◽  
pp. 43-53
Author(s):  
Chuong Trong Trinh ◽  
Anh Viet Truong ◽  
Tu Phan Vu
Keyword(s):  
Distributed Generation ◽  
Power Distribution ◽  
Power Flow ◽  
Voltage Stability ◽  
Reactive Power ◽  
Induction Machine ◽  
Distribution Networks ◽  
Distribution Grid ◽  
Asynchronous Machine ◽  
Asynchronous Machines

There are now a lot of distributed generation (DG) using asynchronous machines are connected to power distribution grid. These machines do not usually generate reactive power, even consume reactive power, so they generally affect the voltage stability of whole power grid, and can cause instability in itself it is no longer balanced by the torque to work. In this paper, we investigate the voltage stability problem of the asynchronous machine of wind turbines used in power distribution networks. From the static model of the asynchronous machine, this paper will apply the pragmatic criteria to analysis the voltage stability of the asynchronous machine based on the results of the power flow in power distribution network.

scholarly journals Local Market for TSO and DSO Reactive Power Provision Using DSO Grid Resources

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3442
Author(s):  
Fábio Retorta ◽  
João Aguiar ◽  
Igor Rezende ◽  
José Villar ◽  
Bernardo Silva
Keyword(s):  
Real Time ◽  
Distribution System ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Reactive Power ◽  
Time Interval ◽  
Local Market ◽  
Distribution Grid ◽  
Power Profile ◽  
System Operator

This paper proposes a near to real-time local market to provide reactive power to the transmission system operator (TSO), using the resources connected to a distribution grid managed by a distribution system operator (DSO). The TSO publishes a requested reactive power profile at the TSO-DSO interface for each time-interval of the next delivery period, so that market agents (managing resources of the distribution grid) can prepare and send their bids accordingly. DSO resources are the first to be mobilized, and the remaining residual reactive power is supplied by the reactive power flexibility offered in the local reactive market. Complex bids (with non-curtailability conditions) are supported to provide flexible ways of bidding fewer flexible assets (such as capacitor banks). An alternating current (AC) optimal power flow (OPF) is used to clear the bids by maximizing the social welfare to supply the TSO required reactive power profile, subject to the DSO grid constraints. A rolling window mechanism allows a continuous dispatching of reactive power, and the possibility of adapting assigned schedules to real time constraints. A simplified TSO-DSO cost assignment of the flexible reactive power used is proposed to share for settlement purposes.

scholarly journals Determining the Hosting Capacity of Solar Photovoltaic in a Radial Distribution Network Using an Analytical Approach

2019 ◽  
Vol 5 ◽  
pp. 15-25
Author(s):  
Suraj Dahal ◽  
Ajay Kumar Jha ◽  
Nawraj Bhattarai ◽  
Anil Kumar Panjiyar
Keyword(s):  
Power Flow ◽  
Positive Impact ◽  
Flow Simulation ◽  
Load Flow ◽  
Optimal Placement ◽  
Solar Pv ◽  
Voltage Profile ◽  
Distribution Grid ◽  
Pv System ◽  
Power Loss Reduction

Integrating high photovoltaic (PV) on distribution grid system has a positive impact by significantly reducing the losses and improving the voltage profile at the same time reducing the pollution of the environment However, integrating high proportions of PV in the distribution grid can bring the grid to its operational limits and result in power quality issues. The maximum PV capacity that can be integrated without incurring any grid impacts is referred to as the PV hosting capacity of the grid. This paper intends to evaluate the hosting capacity of solar PV in Dodhara-Chandani (DoC) distribution feeder as one of the feeder of Integrated Nepal Power System (INPS), considering grid parameters and operating condition in Nepal. Three main criteria were investigated for determining the hosting capacity of PV; reverse power flow, maximum voltage deviation of feeder and current carrying limit of conductor. The analysis has been performed by means of static load-flow simulation in Electrical Transient & Analysis Program (ETAP) and coding in MATLAB R2017a. The study shows that PV of rated capacity 687kWp can be installed at a point of interconnection (POI) whereas an optimal placement of solar PV is found to be at 18th node (in between starting and end of the feeder) considering minimum system losses. The minimum voltage profile at end of the feeder has improved by 8 % while the active power loss reduction of network has reduced by 83.6 % after the integration of solar PV. The results indicate voltage at different buses and the ampacity of most of the conductors have been improved after the integration of PV system into DoC feeder.

Application of BFNN in power flow calculation in smart distribution grid

2014 ◽  
Vol 125 ◽  
pp. 148-152 ◽  
Author(s):  
Qiuye Sun ◽  
Yunxia Yu ◽  
Yanhong Luo ◽  
Xinrui Liu
Keyword(s):  
Power Flow ◽  
Distribution Grid ◽  
Power Flow Calculation ◽  
Flow Calculation ◽  
Smart Distribution Grid

scholarly journals Performance Analysis of Plug-in Electric Vehicle Supported DVR for Power-Quality Improvement and Energy Back-Up Strategy

2020 ◽  
Vol 8 (6) ◽  
pp. 945-952
Keyword(s):  
Electric Vehicle ◽  
Power Quality ◽  
Distribution System ◽  
Power Flow ◽  
Fossil Fuels ◽  
Electrical Power ◽  
Peak Load ◽  
Electrical Energy ◽  
Distribution Grid ◽  
Dynamic Voltage Restorer

Electric vehicle technology becomes increasingly important as it takes care of the environmental issues related to ICE vehicle and reduces the dependency on fossil fuels. Electric vehicle being greatly dependent on the limited electrical energy provided by a battery, the power flow efficiency is very important in this context. Electric vehicle integration to the distribution grid is increased at a faster rate because it can act as power backup to the grid/local loads reducing the peak load and filling the valley point. Most of software engineers own an Electric Vehicle based on eco-friendly principles. The Batteries in the car are connected to the charging point (or) grid monitoring of State of Charging (SOC) facilities in the parking area of company. When the Renewable power (solar energy) is available, the batteries will be charged to hundred percentage of SOC. Then excess power from PV will connect to load as well as grid. When the electrical power supply cutoff the car batteries will act as a battery bank of UPS and support to the critical load with condition based Allowable SOC. The total capacity of the batteries depends upon the no of cars available at a particular shift in a day. This work proposes the power backup of EV is utilized as an UPS to Software Company as well as used to support the Dynamic Voltage Restorer (DVR) to mitigate the fault occurring in the distribution system. Additionally, the EV supported DVR compensates voltage harmonics, voltage sag-swell, voltage interruptions coming from distribution to enhance power-quality of entire EV system without any additional compensation devices. The entire system is modeled using MATLAB/SIMULINK and the results confer the feasibility of the proposed objective.

scholarly journals Research and Solution Proposals to Optimize Distribution Power Grids in Smart Grid Condition

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Trung Son PHAM ◽  
Dinh Tien NGUYEN ◽  
Quang Thuan NGUYEN ◽  
Quang Khoa DANG
Keyword(s):  
Smart Grid ◽  
Power Flow ◽  
Electrical Energy ◽  
Power Grids ◽  
Operating Efficiency ◽  
Distribution Grid ◽  
Electric Power Grid ◽  
Calculation Results ◽  
Transmission And Distribution

Smart Grid is a concept for transforming the electric power grid by using advanced automaticcontrol and communications techniques and other forms of information technology. It integratesinnovative tools and technologies from: generation, transmission and distribution. This also includesconsumer appliances and equipment. This concept integrates energy infrastructure, processes, devices,information and markets into a coordinated and collaborative process. All allowing energy to be generated,distributed and consumed flexibly and efficiently. However, the Smart Grid with the integration ofdistributed generation itself also creates a several disadvantages. There can be problems with: stabilityand reliability, relay protection, isolation and operational isolation in which the problem is to create aburden on the distribution grid when transmitting electrical energy sources. Optimizing power flow andbringing high operating efficiency on Smart Grid conditions is an urgent issue. This paper focuses onresearching and proposing solutions for optimal calculation of power flow on Smart Grid. The paper hasresearched, and analyzed calculation solutions to optimize power flow and proposed to use the Lagrangemultiplier method. The study performed calculations for a typical Smart Grid model with three distributedgenerations. Calculation results have shown that the role of the method is to fully perform the optimalcalculation of the power flow on the grid. This is in order to reduce power loss and energy loss as well asincreasing operational efficiency while improving power quality in Smart Grid conditions.

scholarly journals Integrated Techno-Economic Power System Planning of Transmission and Distribution Grids

Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2091 ◽  
Author(s):  
Ulf Philipp Müller ◽  
Birgit Schachler ◽  
Malte Scharf ◽  
Wolf-Dieter Bunke ◽  
Stephan Günther ◽  
...  
Keyword(s):  
Power System ◽  
High Voltage ◽  
Power Flow ◽  
Optimal Power Flow ◽  
Low Voltage ◽  
Distribution Grid ◽  
Power System Planning ◽  
System Planning ◽  
Transmission And Distribution ◽  
And Storage

The energy transition towards renewable and more distributed power production triggers the need for grid and storage expansion on all voltage levels. Today’s power system planning focuses on certain voltage levels or spatial resolutions. In this work we present an open source software tool eGo which is able to optimize grid and storage expansion throughout all voltage levels in a developed top-down approach. Operation and investment costs are minimized by applying a multi-period linear optimal power flow considering the grid infrastructure of the extra-high and high-voltage (380 to 110 kV) level. Hence, the common differentiation of transmission and distribution grid is partly dissolved, integrating the high-voltage level into the optimization problem. Consecutively, optimized curtailment and storage units are allocated in the medium voltage grid in order to lower medium and low voltage grid expansion needs, that are consequently determined. Here, heuristic optimization methods using the non-linear power flow were developed. Applying the tool on future scenarios we derived cost-efficient grid and storage expansion for all voltage levels in Germany. Due to the integrated approach, storage expansion and curtailment can significantly lower grid expansion costs in medium and low voltage grids and at the same time serve the optimal functioning of the overall system. Nevertheless, the cost-reducing effect for the whole of Germany was marginal. Instead, the consideration of realistic, spatially differentiated time series led to substantial overall savings.

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