Optimal Placement of Substations Based on Economic and Technical Risk Management

الموضوعات : مهندسی هوشمند برق

Amir Navakhah ¹ (Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.)
MahmoudReza Haghifam ² (Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran.)
Soudabe Soleymani ³ (Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.)

تاريخ الإرسال : 24 الإثنين , جمادى الثانية, 1436 تاريخ التأكيد : 24 الإثنين , جمادى الثانية, 1436 تاريخ الإصدار : 28 الأحد , محرم, 1435

الکلمات المفتاحية: Optimal locating, substation, risk management, Non-Dominated sort genetic algorithm,

ملخص المقالة :

Design and expansion of distribution systems seems inevitable in view of the need to satisfy the rise in energy consumption in a technical and economical way. Optimal location, sizing and determining the service area of substations is one of the principle problems in expansion of distribution systems. Also uncertainty is one of the important factors that increase risk of exact decision makings. This paper presents a fuzzy multi-objective model for HV/MV substations planning so that uncertainties are modeled using fuzzy numbers (trapezoidal form). The proposed fuzzy model is based on the risk of economic and technical objectives as well as fuzzy values of investment, operation and loss cost of the substations and primary feeders. This model determines the optimal time, location and size of substations using a multi-objective genetic algorithm (NSGA-II). The proposed model is applied on a typical distribution system to assess the efficiency of the approach.

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