scholarly journals A Hierarchical Restoration Mechanism for Distribution Networks Considering Multiple Faults

2022 ◽  
Vol 2022 ◽  
pp. 1-17
Author(s):  
Juan Wen ◽  
Xing Qu ◽  
Lin Jiang ◽  
Siyu Lin
Keyword(s):  
Distribution Networks ◽  
Topology Analysis ◽  
Multiple Faults ◽  
Distributed Generations ◽  
Service Restoration ◽  
Dynamic Topology ◽  
Restoration Mechanism ◽  
Restoration Method ◽  
Feasible Solutions ◽  
Operational Constraints

Service restoration of distribution networks in contingency situations is one of the highly investigated and challenging problems. In the conventional service restoration method, utilities reconfigure the topological structure of the distribution networks to supply the consumer load demands. However, the advancements in renewable distributed generations define a new dimension for developing service restoration methodologies. This paper proposes a hierarchical service restoration mechanism for distribution networks in the presence of distributed generations and multiple faults. The service restoration problem is modeled as a complicated and hierarchical program. The objectives are to achieve the maximization of loads restored with minimization of switch operations while simultaneously satisfying grid operational constraints and ensuring a radial operation configuration. We present the service restoration mechanism, which includes the dynamic topology analysis, matching isolated islands with renewable distributed generations, network reconfiguration, and network optimization. A new code scheme that avoids feasible solutions is applied to generate candidate solutions to reduce the computational burden. We evaluate the proposed mechanism on the IEEE 33 and 69 systems and report on the collected results under multitype fault cases. The results demonstrate the importance of the available renewable distributed generations in the proposed mechanism. Moreover, simulation results verify that the proposed mechanism can obtain reasonable service restoration plans to achieve the maximization of loads restored and minimization of switching operations under different faults.

Service Restoration of Smart Distribution System

2015 ◽  
Vol 737 ◽  
pp. 181-186
Author(s):  
Xiao Yun Huang ◽  
Fei Jin Peng ◽  
Hong Yuan Huang ◽  
Zhi Wen Xie
Keyword(s):  
Distribution System ◽  
Voltage Distribution ◽  
Distributed Generations ◽  
Medium Voltage ◽  
Whole Process ◽  
System A ◽  
Intentional Islanding ◽  
Service Restoration ◽  
Service Areas ◽  
Restoration Method

Abstract: On the condition of protecting the critical load, it is necessary to restore the service of outage area without fault as soon as possible after the occurrence of fault in smart distribution system. A fast service restoration method is proposed for medium-voltage distribution system with distributed generations, which combines intentional islanding of DGs for network reconfiguration. Under the condition of safety limits, the out of service areas are achieved maximization of restoration, making full use of DGs. The whole process of restoration is regarded as a multi-stages decision problem, and divided into four stages. Compared to the existing algorithms, this method can effectively avoid the time-consuming and search results problems, and the simulation results are better. The effectiveness and practicality of the propose approach is demonstrated by simulations on a PG&E 69-nodes system with DGs.

scholarly journals Two-stage market-based service restoration method in multi-MGs distribution networks

2019 ◽  
Vol 13 (23) ◽  
pp. 5375-5386 ◽  
Author(s):  
Seyed Hamidreza Alemohammad ◽  
Elaheh Mashhour ◽  
Hossein Farzin
Keyword(s):  
Distribution Networks ◽  
Two Stage ◽  
Service Restoration ◽  
Restoration Method

A Service Restoration Method for Multiple Faults in Distribution Systems Based on Load Balancing Distribution

2014 ◽  
Vol 1023 ◽  
pp. 160-167
Author(s):  
Guo Fang Zhu ◽  
Hou Lei Gao ◽  
Tian You Li
Keyword(s):  
Load Balancing ◽  
Distribution System ◽  
Distribution Systems ◽  
Fault Current ◽  
Fault Recovery ◽  
Multiple Faults ◽  
Single Fault ◽  
Service Restoration ◽  
Traditional Service ◽  
Restoration Method

Current service restoration methods in distribution systems mainly focus on the single fault. When the distribution system deals with more than one fault, current service restoration methods will not be applicable. A service restoration method for multiple faults is proposed to solve the problem mentioned above. Fault outage areas connected through a loop switch compose an unaided fault recovery area which is regarded as a service restoration unit. In order to eliminate the interaction of communal feeders which are connected to more than one unaided fault recovery area, each communal feeder is decoupled into multiple virtual feeders which are assigned to corresponding unaided fault recovery areas based on load balancing distribution. After the process above, the fault recovery area of multiple faults is divided into several independent fault recovery areas and each independent fault recovery area can be restored by traditional service restoration methods. So the contribution of this algorithm is to solve the problem of service restoration of multiple faults. The result of a calculation example proved the validity of the algorithm.

scholarly journals Fault Identification and Location for Distribution Network with Distributed Generations

2018 ◽  
Vol 19 (3) ◽  
Author(s):  
Wen Fan ◽  
Yuan Liao
Keyword(s):  
Power Distribution ◽  
Fault Location ◽  
Distribution Networks ◽  
Distribution Grid ◽  
Power Distribution Networks ◽  
Multiple Faults ◽  
Distributed Generations ◽  
Solving Equations ◽  
Fast Repair ◽  
Set Up

AbstractPower distribution networks with distributed generations may experience faults. It is essential to promptly locate the fault for fast repair and restoration. This paper presents a novel method for identifying the faulted section and accurate location of faults that occur on power distribution grid. Appropriate matrices are set up to represent meter locations on the grid and the topology of the grid. The voltage and current measurements obtained are utilized to decide the fault sections. Then fault location is determined by solving equations that link measurements and fault locations through bus impedance matrix. The method is applicable to both single and simultaneous, multiple faults that may occur on unbalanced, meshed distribution networks with distributed generations.

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 Service Restoring Reconfiguration for Distribution NetworksConsidering Uncertainty in Available Information

2021 ◽  
Vol 11 (9) ◽  
pp. 4169
Author(s):  
Hirotaka Takano ◽  
Junichi Murata ◽  
Kazuki Morishita ◽  
Hiroshi Asano
Keyword(s):  
Power Distribution ◽  
Solution Method ◽  
Optimization Problems ◽  
Problem Formulation ◽  
Distribution Networks ◽  
Accurate Information ◽  
Power Distribution Networks ◽  
Combinatorial Optimization Problems ◽  
Service Restoration ◽  
Available Information

The recent growth in the penetration of photovoltaic generation systems (PVs) has brought new difficulties in the operating and planning of electric power distribution networks. This is because operators of the distribution networks normally cannot monitor or control the output of the PVs, which introduces additional uncertainty into the available information that operations must rely on. This paper focuses on the service restoration of the distribution networks, and the authors propose a problem framework and its solution method that finds the optimal restoration configuration under extensive PV installation. The service restoration problems have been formulated as combinatorial optimization problems. They do, however, require accurate information on load sections, which is impractical in distribution networks with extensively installed PVs. A combined framework of robust optimization and two-stage stochastic programming adopted in the proposed problem formulation enables us to deal with the PV-originated uncertainty using readily available information only. In addition, this problem framework can be treated by a traditional solution method with slight extensions. The validity of the authors’ proposal is verified through numerical simulations on a real-scale distribution network model and includes a discussion of their results.

scholarly journals Bi-objective design-for-control of water distribution networks with global bounds

2021 ◽  
Author(s):  
Aly-Joy Ulusoy ◽  
Filippo Pecci ◽  
Ivan Stoianov
Keyword(s):  
Water Distribution ◽  
Distribution Networks ◽  
Water Distribution Networks ◽  
Mixed Integer ◽  
Global Optimality ◽  
Linear Programs ◽  
Design For Control ◽  
Non Linear ◽  
Feasible Solutions

AbstractThis manuscript investigates the design-for-control (DfC) problem of minimizing pressure induced leakage and maximizing resilience in existing water distribution networks. The problem consists in simultaneously selecting locations for the installation of new valves and/or pipes, and optimizing valve control settings. This results in a challenging optimization problem belonging to the class of non-convex bi-objective mixed-integer non-linear programs (BOMINLP). In this manuscript, we propose and investigate a method to approximate the non-dominated set of the DfC problem with guarantees of global non-dominance. The BOMINLP is first scalarized using the method of $$\epsilon $$ ϵ -constraints. Feasible solutions with global optimality bounds are then computed for the resulting sequence of single-objective mixed-integer non-linear programs, using a tailored spatial branch-and-bound (sBB) method. In particular, we propose an equivalent reformulation of the non-linear resilience objective function to enable the computation of global optimality bounds. We show that our approach returns a set of potentially non-dominated solutions along with guarantees of their non-dominance in the form of a superset of the true non-dominated set of the BOMINLP. Finally, we evaluate the method on two case study networks and show that the tailored sBB method outperforms state-of-the-art global optimization solvers.

Sign in / Sign up

Export Citation Format

Share Document