scholarly journals A sliding window algorithm for energy distribution system with storage

2021 ◽  
Vol 6 (11) ◽  
pp. 11815-11836
Author(s):  
Jean-Paul Chehab ◽  
◽  
Vivien Desveaux ◽  
Marouan Handa
Keyword(s):  
Energy Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Optimization Problems ◽  
Piecewise Linear ◽  
Sliding Window ◽  
Real Data ◽  
Optimization Methods ◽  
Computational Time ◽  
Time Interval

<abstract><p>This work is devoted to study optimization problems arising in energy distribution systems with storage. We consider a simplified network topology organized around four nodes: the load aggregator, the external grid, the consumption and the storage. The imported power from the external grid should balance the consumption and the storage variation. The merit function to minimize is the total price the load aggregator has to pay in a given time interval to enforce this balance.</p> <p>Two optimization problems are considered. The first one is linear and standard. It can be solved through classical optimization methods. The second problem is obtained from the previous one by taking into account a power subscription, which makes it piecewise linear. We establish mathematical properties on both these models.</p> <p>Finally, a new method based on a sliding window algorithm is derived. It allows to reduce drastically the computational time and makes feasible real time simulations. Numerical results are performed on real data to highlight both models and to illustrate the performance of the sliding window algorithm.</p></abstract>

scholarly journals Optimal Operational Scheduling of Reconfigurable Microgrids in Presence of Renewable Energy Sources

Energies ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 1858 ◽  
Author(s):  
Fatma Yaprakdal ◽  
Mustafa Baysal ◽  
Amjad Anvari-Moghaddam
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Renewable Energy Sources ◽  
Hybrid Approach ◽  
Optimization Methods ◽  
System Optimization ◽  
Distribution Networks ◽  
Optimal Dispatch

Passive distribution networks are being converted into active ones by incorporating distributed means of energy generation, consumption, and storage, and the formation of so-called microgrids (MGs). As the next generation of MGs, reconfigurable microgrids (RMGs) are still in early phase studies, and require further research. RMGs facilitate the integration of distributed generators (DGs) into distribution systems and enable a reconfigurable network topology by the help of remote-controlled switches (RCSs). This paper proposes a day-ahead operational scheduling framework for RMGs by simultaneously making an optimal reconfiguration plan and dispatching controllable distributed generation units (DGUs) considering power loss minimization as an objective. A hybrid approach combining conventional particle swarm optimization (PSO) and selective PSO (SPSO) methods (PSO&SPSO) is suggested for solving this combinatorial, non-linear, and NP-hard complex optimization problem. PSO-based methods are primarily considered here for our optimization problem, since they are efficient for power system optimization problems, easy to code, have a faster convergence rate, and have a substructure that is suitable for parallel calculation rather than other optimization methods. In order to evaluate the suggested method’s performance, it is applied to an IEEE 33-bus radial distribution system that is considered as an RMG. One-hour resolution of the simultaneous network reconfiguration (NR) and the optimal dispatch (OD) of distributed DGs are carried out prior to this main study in order to validate the effectiveness and superiority of the proposed approach by comparing relevant recent studies in the literature.

Nondegenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning

2012 ◽  
Vol 24 (4) ◽  
pp. 1047-1084 ◽  
Author(s):  
Xiao-Tong Yuan ◽  
Shuicheng Yan
Keyword(s):  
Linear Systems ◽  
Optimization Problems ◽  
Piecewise Linear ◽  
Optimization Methods ◽  
Coefficient Matrix ◽  
Learning Problems ◽  
Support Vector ◽  
Data Sets ◽  
Piecewise Linear Systems ◽  
Vector Machines

We investigate Newton-type optimization methods for solving piecewise linear systems (PLSs) with nondegenerate coefficient matrix. Such systems arise, for example, from the numerical solution of linear complementarity problem, which is useful to model several learning and optimization problems. In this letter, we propose an effective damped Newton method, PLS-DN, to find the exact (up to machine precision) solution of nondegenerate PLSs. PLS-DN exhibits provable semiiterative property, that is, the algorithm converges globally to the exact solution in a finite number of iterations. The rate of convergence is shown to be at least linear before termination. We emphasize the applications of our method in modeling, from a novel perspective of PLSs, some statistical learning problems such as box-constrained least squares, elitist Lasso (Kowalski & Torreesani, 2008 ), and support vector machines (Cortes & Vapnik, 1995 ). Numerical results on synthetic and benchmark data sets are presented to demonstrate the effectiveness and efficiency of PLS-DN on these problems.

ON OPTIMAL DESIGN AND EXPANSION OF ELECTRICAL POWER DISTRIBUTION SYSTEMS

2010 ◽  
Vol 19 (01) ◽  
pp. 45-58 ◽  
Author(s):  
SAJAD NAJAFI RAVADANEGH ◽  
ARASH VAHIDNIA ◽  
HOJAT HATAMI
Keyword(s):  
Optimal Design ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Large Scale ◽  
Minimum Spanning Tree ◽  
Optimization Problems ◽  
Distribution Networks ◽  
Coding Method ◽  
Real Size

Optimal planning of large-scale distribution networks is a multiobjective combinatorial optimization problem with many complexities. This paper proposes the application of improved genetic algorithm (GA) for the optimal design of large-scale distribution systems in order to provide optimal sizing and locating of the high voltage (HV) substations and medium voltage (MV) feeders routing, using their corresponding fixed and variable costs associated with operational and optimization constraints. The novel approach presented in the paper, solves hard satisfactory optimization problems with different constraints in large-scale distribution networks. This paper presents a new concept based on MST in graph theory and GA for optimal locating of the HV substations and MV feeders routing in a real-size distribution network. Minimum spanning tree solved with Prim's algorithm is employed to generate a set of feasible population. In the present article, to reduce computational burden and avoid huge search space leading to infeasible solutions, special coding method is generated for GA operators to solve optimal feeders routing. The proposed coding method guarantees the validity of the solution during the progress of the GA toward the global optimal solution. The developed GA-based software is tested in a real-size large-scale distribution system and the well-satisfactory results are presented.

scholarly journals A hybrid cuckoo–harmony search algorithm for optimal design of water distribution systems

2015 ◽  
Vol 18 (3) ◽  
pp. 544-563 ◽  
Author(s):  
Razi Sheikholeslami ◽  
Aaron C. Zecchin ◽  
Feifei Zheng ◽  
Siamak Talatahari
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Heuristic Algorithms ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Cuckoo Search ◽  
Search Space ◽  
Optimization Method

Meta-heuristic algorithms have been broadly used to deal with a range of water resources optimization problems over the past decades. One issue that exists in the use of these algorithms is the requirement of large computational resources, especially when handling real-world problems. To overcome this challenge, this paper develops a hybrid optimization method, the so-called CSHS, in which a cuckoo search (CS) algorithm is combined with a harmony search (HS) scheme. Within this hybrid framework, the CS is employed to find the promising regions of the search space within the initial explorative stages of the search, followed by a thorough exploitation phase using the combined CS and HS algorithms. The utility of the proposed CSHS is demonstrated using four water distribution system design problems with increased scales and complexity. The obtained results reveal that the CSHS method outperforms the standard CS, as well as the majority of other meta-heuristics that have previously been applied to the case studies investigated, in terms of efficiently seeking optimal solutions. Furthermore, the CSHS has two control parameters that need to be fine-tuned compared to many other algorithms, which is appealing for its practical application as an extensive parameter-calibration process is typically computationally very demanding.

scholarly journals Nonclassical Attack on a Quantum Key Distribution System

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 509
Author(s):  
Anton Pljonkin ◽  
Dmitry Petrov ◽  
Lilia Sabantina ◽  
Kamila Dakhkilgova
Keyword(s):  
Optical Communication ◽  
Distribution System ◽  
Quantum Key Distribution ◽  
Distribution Systems ◽  
System Development ◽  
Experimental Studies ◽  
Key Distribution ◽  
Time Interval ◽  
Quantum Protocol ◽  
Research Show

The article is focused on research of an attack on the quantum key distribution system and proposes a countermeasure method. Particularly noteworthy is that this is not a classic attack on a quantum protocol. We describe an attack on the process of calibration. Results of the research show that quantum key distribution systems have vulnerabilities not only in the protocols, but also in other vital system components. The described type of attack does not affect the cryptographic strength of the received keys and does not point to the vulnerability of the quantum key distribution protocol. We also propose a method for autocompensating optical communication system development, which protects synchronization from unauthorized access. The proposed method is based on the use of sync pulses attenuated to a photon level in the process of detecting a time interval with a signal. The paper presents the results of experimental studies that show the discrepancies between the theoretical and real parameters of the system. The obtained data allow the length of the quantum channel to be calculated with high accuracy.

scholarly journals Hierarchical, Grid-Aware, and Economically Optimal Coordination of Distributed Energy Resources in Realistic Distribution Systems

Energies ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 6399
Author(s):  
Mads Almassalkhi ◽  
Sarnaduti Brahma ◽  
Nawaf Nazir ◽  
Hamid Ossareh ◽  
Pavan Racherla ◽  
...  
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Large Scale ◽  
Optimization Methods ◽  
Energy Resources ◽  
Distributed Energy Resources ◽  
Solar Pv ◽  
Ancillary Service ◽  
Distributed Energy ◽  
Optimal Coordination

Renewable portfolio standards are targeting high levels of variable solar photovoltaics (PV) in electric distribution systems, which makes reliability more challenging to maintain for distribution system operators (DSOs). Distributed energy resources (DERs), including smart, connected appliances and PV inverters, represent responsive grid resources that can provide flexibility to support the DSO in actively managing their networks to facilitate reliability under extreme levels of solar PV. This flexibility can also be used to optimize system operations with respect to economic signals from wholesale energy and ancillary service markets. Here, we present a novel hierarchical scheme that actively controls behind-the-meter DERs to reliably manage each unbalanced distribution feeder and exploits the available flexibility to ensure reliable operation and economically optimizes the entire distribution network. Each layer of the scheme employs advanced optimization methods at different timescales to ensure that the system operates within both grid and device limits. The hierarchy is validated in a large-scale realistic simulation based on data from the industry. Simulation results show that coordination of flexibility improves both system reliability and economics, and enables greater penetration of solar PV. Discussion is also provided on the practical viability of the required communications and controls to implement the presented scheme within a large DSO.

scholarly journals Logistic regression analysis to estimate contaminant sources in water distribution systems

2010 ◽  
Vol 13 (3) ◽  
pp. 545-557 ◽  
Author(s):  
Li Liu ◽  
A. Sankarasubramanian ◽  
S. Ranji Ranjithan
Keyword(s):  
Logistic Regression ◽  
Distribution System ◽  
Distribution Systems ◽  
Water Distribution ◽  
Optimization Methods ◽  
Search Space ◽  
Potential Hazard ◽  
Probabilistic Description ◽  
Contaminant Sources ◽  
Rapid Characterization

Accidental or intentional contamination in a water distribution system (WDS) has recently attracted attention due to the potential hazard to public health and the complexity of the contaminant characteristics. The accurate and rapid characterization of contaminant sources is necessary to successfully mitigate the threat in the event of contamination. The uncertainty surrounding the contaminants, sensor measurements and water consumption underscores the importance of a probabilistic description of possible contaminant sources. This paper proposes a rapid estimation methodology based on logistic regression (LR) analysis to estimate the likelihood of any given node as a potential source of contamination. Not only does this algorithm yield location-specific probability information, but it can also serve as a prescreening step for simulation–optimization methods by reducing the decision space and thus alleviating the computational burden. The applications of this approach to two example water networks show that it can efficiently rule out numerous nodes that do not yield contaminant concentrations to match the observations. This elimination process narrows down the search space of the potential contamination locations. The results also indicate that the proposed method efficiently yields a good estimation even when some noise is incorporated into the measurements and demand values at the consumption nodes.

scholarly journals Extraction of Transmission Parameters for Siting and Sizing of Distributed Energy Sources in Distribution Network

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Shilpa Kalambe ◽  
Ganga Agnihotri
Keyword(s):  
Distribution System ◽  
Power Flow ◽  
Distribution Systems ◽  
Load Condition ◽  
Computational Time ◽  
Supply Source ◽  
Distributed Generator ◽  
Transmission Parameters ◽  
Novel Method ◽  
Input Load

This paper introduces a novel method for sitting and sizing the grid connected distributed generator (DG) for installation in distribution system at any input load condition, which is based on two port transmission equations, named as modified transmission parameters (MTP) method by considering the loss minimization as a constraint. If properly organized, with the help of various transmission parameters optimal DG allocation with minimum transmission losses, contribution of DG as well as the main supply source to each load, type of DG required to handle the existing power flow scenario, and operating power factor at which DG should operate can be easily investigated. Apart from this the author has also investigated the worst location for DG installation and referred to it as Consecutive Bus. The method has been tested on two test distribution systems with varying sizes and intricacy and the results have been compared with the two established methods reported earlier. Relative study presented has shown that the proposed method leads existing methods in terms of its simplicity, computational time, and handling less number of variables.

scholarly journals Cluster-Based Method to Determine Base Values for Short-Term Voltage Variation Indices

Energies ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 149
Author(s):  
Paulo Vitor Grillo de Souza ◽  
José Maria de Carvalho Filho ◽  
Daniel Furtado Ferreira ◽  
Jacques Miranda Filho ◽  
Homero Krauss Ribeiro Filho ◽  
...  
Keyword(s):  
Distribution System ◽  
Distribution Systems ◽  
Real Data ◽  
Regulatory Agencies ◽  
Voltage Sag ◽  
Short Term ◽  
Voltage Variation ◽  
Adequate Definition ◽  
Definition Of ◽  
Electricity Utility

This paper proposes a methodology for establishing base values for short-term voltage variation indices. The work is focused on determining which variables best describe the disturbance and based on that, establish clusters that allow a more adequate definition of base values for the indices. To test the proposed methodology, real data from 19 distribution systems belonging to a Brazilian electricity utility were used and consequently the index presented in the country standard was considered. This study presents a general methodology that can be applied to all distribution systems in Brazil and could serve as a guide for the regulatory agencies in other countries, to establish base values for their indices. Furthermore, the objective is to show through the results that, with the database used is possible to establish clusters of distribution systems related to the voltage sag and with these establish a base impact factor, distinct for each distribution system.

scholarly journals Research on Modeling and Hierarchical Scheduling of a Generalized Multi-Source Energy Storage System in an Integrated Energy Distribution System

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 246 ◽  
Author(s):  
Weiliang Wang ◽  
Dan Wang ◽  
Liu Liu ◽  
Hongjie Jia ◽  
Yunqiang Zhi ◽  
...  
Keyword(s):  
Energy Storage ◽  
Energy Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Supply And Demand ◽  
Energy System ◽  
System Level ◽  
Stable Operation ◽  
Level Energy ◽  
Hierarchical Scheduling

Energy storage systems play a crucial role in ensuring stable operation. However, the development of system-level energy storage is hindered due to the restrictions of economy, geography, and other factors. Transitions of traditional power systems into integrated energy distribution systems (IEDS) have provided new solutions to the problems mentioned above. Through intelligent control management methods, the utilization of multi-energy-type resources both on the supply and demand sides shows the potential for equivalent storage characteristics. Inspired by the aggregation principles, this paper aims at proposing a novel model named generalized multi-source energy storage (GMSES), including the modeling and cooperation of three kinds of available resources: conventional energy storage (CES), multi-energy flow resources (MFR), and demand response resources (DRR). Compared with the conventional means of storage, GMSES can be regarded as a more cost-effective and flexible participant in the proposed hierarchical energy scheduling framework that can realize system-level storage services in IEDS. On this basis, a multi-timescale energy scheduling strategy is proposed to reshape the regulation of IEDS operations and deal with the fluctuations caused by renewable energy and loads, where the general parameter serialization (GPS)-based control strategy is utilized to select and control the responsive loads in DRR. Furthermore, a hierarchical scheduling algorithm is developed to generate the optimal set-points of GMSES. Case studies are analyzed in an electricity-gas coupled IEDS. The simulation results show that the coupled co-optimization GMSES model is conducive to achieving the goal of self-management and economical operation, while the influence of the underlying IEDS on the upper energy system is reduced, as the tie-line power fluctuations are smoothed out.

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