Reliability and cost analysis of the integrated emergency power system in building complex

Abstract

Emergency power system refers to a system that is composed of self-generating equipment in the building. By providing power support for emergency events such as power outages, it can keep the energy safety assurance. Usually, emergency power systems are independent and redundant. As a backup, their utilization rates are extremely low, resulting in excessive redundancy causing a lot of waste of resources and equipment. In this paper, a model integrating stand-alone emergency power systems with micro-network was proposed to improve power supply reliability in a more economic manner. Integrated emergency power system with the dispatch strategy of self-priority was established based on reliability and power demand of buildings simulated through Monte Carlo method. To evaluate the impact of integration, the total cost of integrated emergency power system was calculated including economic loss during power outages and system costs. Finally, genetic algorithm was used to obtain the optimal capacity and dispatch strategy of the integrated emergency power system by minimizing the total cost. Results showed that the reliability was improved, and the total cost was reduced to 80.05% by integrated emergency power system in the illustrated case.

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“…In formula (5), M represents the weight of heterogeneous data aggregation, ( ) kn P t represents the heterogeneous data aggregation function. After the heterogeneous information integration processing is completed, the attributes of each information node are significantly different [24] . Therefore, in order to ensure the effectiveness of heterogeneous information integration processing, it is necessary to calculate the number of heterogeneous information nodes with attribute differences ( ) p Sensor , as shown in (6) below.…”

Automatic extraction algorithm of small signal in power system considering the fluctuation of eigenvalue

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