نتایج جستجو برای: power distribution planning
تعداد نتایج: 1236877 فیلتر نتایج به سال:
Estimation of the load, particularly of the peak load, is basis for the system state estimation, and for technical, and economic calculations. This makes possible improvement in economic operation, maintenance of electrical equipment, and optimal planning and operating of electrical distribution systems. In the paper, starting from a fuzzy correlation model of the loads, a power flow analysis f...
This paper presents a methodology and a computational tool for power distribution systems planning based on load spatial analyses and providing an optimal system configuration, with regard to substation load balancing, and an effective switching operation sequence allowing the improvement of system reliability and power quality. The proposed optimization algorithm is a two-stage procedure. The ...
The definitions of optimal preventive and corrective maintenance of electric power distribution networks can be seen as a special case of a knapsack problem. This paper proposes a dynamic programming approach to deal with this problem. The approach is developed for one or more years of planning horizon. Case studies compare the optimal dynamic programming approach with an heuristic method.
This study focuses on the optimal planning of secondary power distribution systems considering distributed renewable generators (DG) and energy storage (ESS) to minimize expansion costs. The methodology solves a mixed integer non-linear mathematical model that describes problem, including operating technical aspects system. Such uses an iterated local search algorithm two-stage load flow decomp...
This paper presents a new and efficient method based on evolutionary algorithms to address the multi-stage (dynamic) planning of open loop structured distribution networks under uncertainty taking into account distributed generation connected to distribution system. The proposed model can cope with important features implicit in planning studies such as time-phased representation and uncertaint...
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