Assessing the Impact of Size and Site of Distributed Generations and Smart Meters in Active Distribution Networks for Energy Losses Cost

2015 ◽  
Vol 28 (7) ◽  
Keyword(s):  
Distribution Networks ◽  
Energy Losses ◽  
Smart Meters ◽  
Distributed Generations ◽  
The Impact ◽  
Active Distribution Networks

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 Phase Synchronization Stability of Non-Homogeneous Low-Voltage Distribution Networks with Large-Scale Distributed Generations

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1257 ◽  
Author(s):  
Shi Chen ◽  
Hong Zhou ◽  
Jingang Lai ◽  
Yiwei Zhou ◽  
Chang Yu
Keyword(s):  
Power Law ◽  
Coupling Strength ◽  
Large Scale ◽  
Phase Synchronization ◽  
Distribution Networks ◽  
Critical Coupling ◽  
Power Law Distribution ◽  
Distributed Generations ◽  
Strength Formula ◽  
The Impact

The ideal distributed network composed of distributed generations (DGs) has unweighted and undirected interactions which omit the impact of the power grid structure and actual demand. Apparently, the coupling relationship between DGs, which is determined by line impedance, node voltage, and droop coefficient, is generally non-homogeneous. Motivated by this, this paper investigates the phase synchronization of an islanded network with large-scale DGs in a non-homogeneous condition. Furthermore, we explicitly deduce the critical coupling strength formula for different weighting cases via the synchronization condition. On this basis, three cases of Gaussian distribution, power-law distribution, and frequency-weighted distribution are analyzed. A synthetical analysis is also presented, which helps to identify the order parameter. Finally, this paper employs the numerical simulation methods to test the effectiveness of the critical coupling strength formula and the superiority over the power-law distribution.

scholarly journals Modeling interaction between distribution company and networked microgrids in optimal operation of active distribution network

2021 ◽  
Author(s):  
Himan Hamedi ◽  
◽  
Vahid Talavat ◽  
Ali Tofighi ◽  
Reza Ghanizadeh ◽  
...  
Keyword(s):  
Electricity Market ◽  
Distribution Networks ◽  
Optimal Operation ◽  
Optimal Price ◽  
Distribution Company ◽  
Level Problem ◽  
Upper Level ◽  
Networked Microgrids ◽  
The Impact ◽  
Active Distribution Networks

In this paper, the interaction between energy sellers and buyers in utilizing active distribution networks is modeled with considering two networked and non-networked modes of microgrids (MGs). A retail electricity market is modeled as a bi-level problem. Accordingly, the Distribution Company (DISCO) in the upper level in order to maximize the profit offers an optimal price to MGs. While in the lower level, the MGs to compare the offered prices by DISCO with the prices of MGs generation sources for minimizing the total costs decided to whether to buy from the DISCO or not. As the first contribution of the paper is to consider the networked operation of the MGs under a unique beneficiary of MGs (BMG). As the second contribution, two very important indices reserve and self-adequacy are considered, which are necessary in the problems related to MGs. In this paper, the impact of considering and disregarding two important reserve and self-adequacy indices of MGs on the profit of the DISCO in two different scenarios is investigated. In each scenario, the impact of considering two modes networked and non-networked of MGs on the profit of DISCO is investigated. Simulation results show the efficiency the presented model.

scholarly journals Distributionally Robust Distributed Generation Hosting Capacity Assessment in Distribution Systems

Energies ◽  
2018 ◽  
Vol 11 (11) ◽  
pp. 2981 ◽  
Author(s):  
Mohammad Seydali Seyf Abad ◽  
Jin Ma ◽  
Ahmad Ahmadyar ◽  
Hesamoddin Marzooghi
Keyword(s):  
Robust Optimization ◽  
Distributed Generation ◽  
Optimization Model ◽  
Distribution Systems ◽  
Historical Data ◽  
Distribution Networks ◽  
Distributionally Robust Optimization ◽  
Distributed Generations ◽  
Distributionally Robust ◽  
The Impact

Uncertainties associated with the loads and the output power of distributed generations create challenges in quantifying the integration limits of distributed generations in distribution networks, i.e., hosting capacity. To address this, we propose a distributionally robust optimization-based method to determine the hosting capacity considering the voltage rise, thermal capacity of the feeders and short circuit level constraints. In the proposed method, the uncertain variables are modeled as stochastic variables following ambiguous distributions defined based on the historical data. The distributionally robust optimization model guarantees that the probability of the constraint violation does not exceed a given risk level, which can control robustness of the solution. To solve the distributionally robust optimization model of the hosting capacity, we reformulated it as a joint chance constrained problem, which is solved using the sample average approximation technique. To demonstrate the efficacy of the proposed method, a modified IEEE 33-bus distribution system is used as the test-bed. Simulation results demonstrate how the sample size of historical data affects the hosting capacity. Furthermore, using the proposed method, the impact of electric vehicles aggregated demand and charging stations are investigated on the hosting capacity of different distributed generation technologies.

scholarly journals An Applied Model for Identification and Evaluation of Factors Affecting Energy Losses of Electric Distribution Network Case Study: Selected Counties of Bushehr Province

2016 ◽  
Vol 11 (1) ◽  
pp. 90
Author(s):  
Hamid Shahbandarzadeh ◽  
Gholamreza Jamali ◽  
Seyedeh FatemehYahosseini
Keyword(s):  
Energy Loss ◽  
Distribution Network ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Influential Factors ◽  
Energy Losses ◽  
Statistical Population ◽  
Applied Model ◽  
Electric Distribution Network ◽  
The Impact

From its generation to utilization, some of the electrical energy gets wasted in the process. This loss of energy occurs due to various reasons, one of which is energy loss in distribution networks. Considering the high cost of power generation, it is important to identify factors causing this loss. This study was carried out with the objective of identifying energy loss factors and the importance of each factor. Lack of identification for factors stealing energy, network deterioration, amount of electrical load and the impact of such factors that can have significant influence on energy loss could diverge the path of energy management. Thus, the main objective of this study was to reduce energy loss and its additional costs by developing the concept of identifying influential factors and measuring the effect of each factor especially in different regions. The statistical population of this study comprised of power and energy experts and university professors. The statistical sample included 12 energy experts and their opinions were collected using questionnaires and paired comparisons. Weights of criteria were determined using SWARA technique. COPRAS-G technique was used for measuring the importance of criteria for Bushehr province distribution networks. The importance of criteria are: energy theft, measurement error, amount of load, network deterioration, loose fittings, improper placement of equipment, the amount of voltage, conductor resistance, equipment casualty, location and size of the capacitor, geographical conditions, Size and dimensions of the conductor, leakage, and network arrangements respectively. Distribution network of Assaluyeh region had the highest energy losses.

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