Multiobjective Optimization for Reliability Improvement in Power Distribution Systems with the Lowest Investment Costs

2013 ◽  
Vol 848 ◽  
pp. 166-171
Author(s):  
Ignacio Juan Ramírez Rosado ◽  
Enrique Zorzano Alba
Keyword(s):  
Multiobjective Optimization ◽  
Power Distribution ◽  
Reliability Index ◽  
Distribution Systems ◽  
Optimization Method ◽  
Electric Utility ◽  
Optimal Number ◽  
Network Systems ◽  
Support Tool ◽  
Protective Devices

This paper presents a multiobjective optimization method, using an enumerative procedure for determining the optimal number and the optimal locations of sectionalizing switches and protective devices, in order to achieve the best ENS (Energy Not Supplied) reliability index with minimal investment cost in distribution network systems with several substations (STR). To achieve this, two objective functions are optimized: one defined by an ENS reliability index and the other defined by the economic investment costs. From all the achieved solutions, the non-dominated solutions are selected, which represent the best results for each economic investment. Thus, the planner can utilize a support tool for decision-making regarding investment and installation of sectionalizing switches and protective devices, taking into account the technical and economic limitations imposed by the electric utility.

scholarly journals Probability-Based Customizable Modeling and Simulation of Protective Devices in Power Distribution Systems

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 199
Author(s):  
Chengwei Lei ◽  
Weisong Tian
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Short Circuit ◽  
Current Data ◽  
System Level ◽  
Power Distribution Systems ◽  
Power Distribution System ◽  
Protective Devices

Fused contactors and thermal magnetic circuit breakers are commonly applied protective devices in power distribution systems to protect the circuits when short-circuit faults occur. A power distribution system may contain various makes and models of protective devices, as a result, customizable simulation models for protective devices are demanded to effectively conduct system-level reliable analyses. To build the models, thermal energy-based data analysis methodologies are first applied to the protective devices’ physical properties, based on the manufacturer’s time/current data sheet. The models are further enhanced by integrating probability tools to simulate uncertainties in real-world application facts, for example, fortuity, variance, and failure rate. The customizable models are expected to aid the system-level reliability analysis, especially for the microgrid power systems.

scholarly journals Hybrid AC/DC Microgrid Planning with Optimal Placement of DC Feeders

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1751 ◽  
Author(s):  
Xiong Wu ◽  
Zhao Wang ◽  
Tao Ding ◽  
Zhiyi Li
Keyword(s):  
Power Distribution ◽  
Power Flow ◽  
Distribution Systems ◽  
Optimal Number ◽  
Security Requirements ◽  
Optimal Placement ◽  
Planning Model ◽  
Dc Microgrid ◽  
Dc Distribution ◽  
Proposed Model

With the significant increase in DC loads (such as data and telecommunication centers) at the power distribution level, an additional set of power electronic converters are required to connect these DC loads to the AC-dominant power network. Notably, hybrid AC/DC microgrids (MGs) serve as promising solutions to satisfying both the AC and DC loads with a reduced number of installed converters. Since DC loads may be randomly distributed in the MG, how to place DC feeders to simultaneously fulfill the economic and security requirements of MG operations remains a challenging problem. To address this issue, this paper proposes a hybrid AC/DC MG planning model to determine the optimal placement of DC feeders with the objective of minimizing the total cost of the investment of distributed energy resources (DERs), converters, and AC/DC distribution lines, as well as the operation of DERs. In particular, the power flow of the hybrid AC/DC MG is derived in a unified manner and then incorporated in the planning model. Eventually, the proposed model suffices to find the optimal number and siting for both DERs and DC feeders while ensuring the continuality of the DC feeders. The proposed model is tested in two MG-based distribution systems, and its effectiveness is validated by the results of numerical experiments.

A New Optimal Method for Load Transfer in Power Distribution Network

2014 ◽  
Vol 989-994 ◽  
pp. 1177-1180
Author(s):  
Qun Wang ◽  
Li Yao ◽  
Zhan Long Zhang
Keyword(s):  
System Reliability ◽  
Power Distribution ◽  
Transfer Test ◽  
Distribution Systems ◽  
Load Transfer ◽  
Optimization Method ◽  
Test Results ◽  
Power Distribution Network ◽  
Optimal Method ◽  
Power Failure

According to the problem that when power failure occurs in distribution systems, load transfer is to recover the load downstream failures without any violation as fast as possible. This target is reached by switch operations and load cut. Using the stochastic optimization method to the solution of the problem, we can improve the efficiency of solution for the operation personnel to provide the reference scheme of load transfer. Test results of a 33 bus sample network have shown that the new method for load recovery can significantly reduce the losses caused by the failures and improve system reliability.

scholarly journals Optimal Placement of Remote-Controlled Switches in Distribution Networks in the Presence of Distributed Generators

Energies ◽  
2019 ◽  
Vol 12 (6) ◽  
pp. 1025 ◽  
Author(s):  
Maziar Isapour Chehardeh ◽  
Constantine J. Hatziadoniu
Keyword(s):  
Cost Function ◽  
Distribution Networks ◽  
Optimization Method ◽  
Test System ◽  
Optimal Number ◽  
Optimal Placement ◽  
Expected Cost ◽  
Protective Devices ◽  
Distributed Generators ◽  
Optimum Placement

A two-level optimization method is presented to find the optimal number and location of conventional protective devices to be upgraded to remote-controlled switches (RCSs) for an existing distribution network (DN). The effect of distributed generation (DG) on this problem is considered. In the first level, a nonlinear binary program is proposed to maximize the restored customers subject to technical and topological constraints. All feasible interchanges between protective devices and ties involved in the restoration, when a fault occurs at all possible locations are found considering switching dependencies. In the second level, a nonlinear cost function, combining the expected cost of interruptions (ECOST) and the switch cost, is minimized with respect to the location of RCSs. The expected cost function is computed based on the optimum restoration policies obtained from the first level. The optimum placement of RCSs using the proposed algorithm is tested on a 4-feeder 1069-node test system and compared to the solution obtained with a genetic algorithm (GA) on the same system.

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