Abstract-To enhance the cost effectiveness of the distribution automation system (DAS), this paper proposes the immune algorithm (IA) to derive the optimal placement of switching devices by minimizing the total cost of customer service outage and investment cost of line switches. The reliability index of each service zone defined by the boundary switches is derived to solve the expected energy not served due to fault contingency, and the customer interruption cost is then determined according to the customer type and power consumption within the service zone. To demonstrate the effectiveness of proposed IA methodology to solve the optimal placement of line switches, a practical distribution system of Taiwan Power Company (Taipower) is selected for computer simulation to explore the cost benefit of line switch placement for DAS.Index Terms-Distribution automation system (DAS), immune algorithm (IA), outage management system (OMS).
This paper proposes the load survey system to determine the load characteristics of various customer classes in an utility company. The questionnaires are adopted to fmd the power consumption of key electric appliances. The actual power consumption of hundreds customers are collected by intelligent meters. The sampling theory has been applied to find the proper sample size of both questionnaires and field test so that the customer load characteristics will be derived with sufficient confidence level. The statistic analysis is then performed to find the power consumption model of each customer class based on the power measurement of field test. The temperature effect to the power consumption of each customer class is also investigated by differentiating the proposed power coilsumption model with respect to the ambient temperature. The proposed method has been adopted by Taipower company to better understand the customer load characteristics to support various fknctions of system planning and operation in a more effective manner.
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