Optimal distribution feeder routing and optimal substation sizing and placement using evolutionary strategies
ABSTRACT This paper investigates the application of evolutionary strategies
to the problem of optimal substation sizing and placement, and the
optimal routing of power distribution feeders. The principles of
evolutionary strategies are discussed and a model proposed. The success
of the method is demonstrated through computer simulations
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ABSTRACT: In this paper, previous contributions of the past 40 years in the area of distribution expansion planning are categorically analyzed. The primary focus would be the multistage formulations. Shortcomings form a practical point of view, for the techniques and solutions in each category are identified and discussed. Significant shortcomings are summarized and tabulated to serve as goals for future research. Introduction While growth of electric energy demand has recently slowed, there will continue to be a need to expand facilities for the foreseeable future. Various plans to timely meet this demand growth, are continually studied for all major components of the electrical systems namely, generation, transmission, and finally distribution. In general, the primary goal in any system expansion is to timely meet the growth of demand in the most economical, reliable, and safe manner possible. Of course, safety and reliability introduce certain operational regulations and constraints that are different in distribution systems than other systems, and therefore must be considered in the expansion plans. This general description of the expansion problems is somewhat independent of many other issues facing the both the suppliers and the users of electrical energy. For example, consider the deregulation issue, which is an attempt to promote better competition among the suppliers by giving more choices to the users. Although deregulation will impact the supplies' planning strategies, it cannot however, contain or limit the growth in demand or the system expansion in the global sense.
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ABSTRACT: This research presents an accurate comprehensive cost function for the problem of optimal location of subtransmission substations. Technical constraints and economical parameters are investigated in the modeling. Genetic algorithm is used to optimize the cost function. Coding of decision variables is done in a way that finding the correct solutions is achieved faster. For the first time in this study, free capacity of medium voltage distribution feeders is used for optimal location of subtransmission substations. Also cost of coupling to upward grid in candidate substations with considering different levels of subtransmission voltage is presented. Efficiency of the proposed algorithm is evaluated via several case studies.
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ABSTRACT: Optimal allocation and sizing of distribution transformers is a common problem in distribution systems planning. This paper presents a novel approach for solving optimal sizing, sitting and determination the service area of MV/LV transformers. Cost of equipment, area, cables in LV side and energy loss of lines and transformers are incorporated in objective function. Uncertainty in loads is modeled using LR fuzzy numbers in load points. A problem specified genetic algorithm with new coding is used for optimization procedure. The success of the developed model is demonstrated through illustrative computer simulationsPower Engineering Society General Meeting, 2006. IEEE; 01/2006