The Optimal Configuration of Feeder Switches in DAS Based on Pareto Optimality Solution

2014 ◽  
Vol 1008-1009 ◽  
pp. 461-465
Author(s):  
Ge Lan Zhu ◽  
Yi Ge Ma

In urban radial networks, the feeder is often complex with a main line, branches and even sub-branches. It is necessary to optimize the configuration of automation switching devices in distribution automation system (DAS) to reduce the impact range of power outage and improve the power supply reliability. The interruption frequency and the space-time relationship among the switching devices were ignored in the most of researches. This paper presents a new reliability planning scheme of switching devices in DAS which involves three types of circuit breakers and three types of load switches. The model which target is to get the minimal cost, the lowest average annual interruption frequency and the least interruption duration is built thereby. The constraint is the availability rate of electricity supply of load node. Based on the Pareto optimality theory, the multi-objective differential evolution algorithm is adopted to solve the Pareto front efficiently. The proposed algorithm can provide many optional choices and the final scheme can be chosen based on the situation. Finally, a practical example is used to illustrate the developed scheme.

2021 ◽  
Vol 2108 (1) ◽  
pp. 012019
Author(s):  
Zhihao Zhang ◽  
Yulin Qian ◽  
Diandian Zhou ◽  
Kexin Zhang

Abstract People’s lives are becoming more and more inseparable from electricity, and the requirements for the quality of power supply are getting higher and higher. Because of most of the faults in the power system originate from the distribution network, the need to standardize the management of power outages and improve the efficiency of research and judgment has become more and more significant. However, in China, the differences in the development of automation construction in various places and the outage information of different departments require that power outage business applications should try to achieve accurate analysis of outage information under different scenarios. This paper designs a power outage analysis approach, which comprehensively analyzes distribution network data such as substations, lines, and meters, and establishes a signal credibility image, which flexibly mines and analyzes outage events from multiple dimensions and effectively improves the fault tolerance of fault location.


Author(s):  
Geum Young Jung ◽  
Kook No Lee ◽  
Hyeok Ryool Kweon ◽  
Bok Nam Ha

Buildings ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 96
Author(s):  
Paul Mathew ◽  
Lino Sanchez ◽  
Sang Hoon Lee ◽  
Travis Walter

Increasing concern over higher frequency extreme weather events is driving a push towards a more resilient built environment. In recent years there has been growing interest in understanding how to evaluate, measure, and improve building energy resilience, i.e., the ability of a building to provide energy-related services in the event of a local or regional power outage. In addition to human health and safety, many stakeholders are keenly interested in the ability of a building to allow continuity of operations and minimize business disruption. Office buildings are subject to significant economic losses when building operations are disrupted due to a power outage. We propose “occupant hours lost” (OHL) as a means to measure the business productivity lost as the result of a power outage in office buildings. OHL is determined based on indoor conditions in each space for each hour during a power outage, and then aggregated spatially and temporally to determine the whole building OHL. We used quasi-Monte Carlo parametric energy simulations to demonstrate how the OHL metric varies due to different building characteristics across different climate zones and seasons. The simulation dataset was then used to develop simple regression models for assessing the impact of ten key building characteristics on OHL. The most impactful were window-to-wall ratio and window characteristics. The regression models show promise as a simple means to assess and screen for resilience using basic building characteristics, especially for non-critical facilities where it may not be viable to conduct detailed engineering analysis.


2017 ◽  
Vol 20 (3&4) ◽  
pp. 373-384
Author(s):  
J. Jerome

The use of automation and energy efficient equipment with electronic control would greatly improve industrial production.  These new devices are more sensitive to supply voltage deviation and the characteristics of the power system that was previously ignored are now very important. Hence the benefits of distribution automation have been widely acknowledged in recent years. This paper proposes an efficient load flow solution technique extended to find optimum location for reactive power compensation and network reconfiguration for planning and day-to-day operation of distribution networks.  This is required as a part of the distribution automation system (DAS) for taking various control and operation decisions.  The method exploits the radial nature of the network and uses forward and backward propagation technique to calculate branch currents and node voltages.  The proposed method has been tested to analyze several practical distribution networks of various voltage levels and also having high R/X ratio.


1995 ◽  
Vol 10 (1) ◽  
pp. 452-458 ◽  
Author(s):  
M.V. Krishna Rao ◽  
J.V. Pandurangam ◽  
R. Peri ◽  
K.N. Clinard ◽  
C. Radha Krishna

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