Conference Paper

Optimal distribution feeder routing and optimal substation sizing and placement using evolutionary strategies

Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont.
DOI: 10.1109/CCECE.1994.405838 Conference: Electrical and Computer Engineering, 1994. Conference Proceedings. 1994 Canadian Conference on
Source: IEEE Xplore

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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    • "In recent years, methods have been developed for network planning based on metaheuristic models: simulating annealing [11], [12], genetic algorithms [13], [14], evolution strategies [10], [15]–[19] and evolutionary programming [20]. In general, these works present applications for mv distributions networks, but they do not consider the simultaneous optimization of hv/mv substation locations and mv networks. "
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    ABSTRACT: This paper presents a method based on evolution strategies for designing large rural low-voltage (LV) distribution networks. Planning rural LV distribution networks involves radial configuration design, location of medium-voltage/low-voltage substations, and minimum cost. In this work, these goals are considered by taking into account different conductors, voltage drop and conductor capacity constraints, power losses in lines, and deterministic loads. The algorithms developed in this paper are based on evolution strategies (ES) and were implemented on large-scale rural LV distribution networks, but they could also be used in general network optimization.
    Full-text · Article · Dec 2003 · IEEE Transactions on Power Systems
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    • "Publication [22] refers to a knowledge based procedure aimed to minimize the engineering costs in long range planning of rural networks where as the distribution expansion problem primarily refers to high growth urban areas. In [23], the discussion is about the general application of the evolutionary technology conceptually. In [50], a two step heuristic method is proposed in which single stage cost optimizations are preformed for each year. "
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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.
    Preview · Article · Jan 2000
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    ABSTRACT: This paper investigates the application of guided evolutionary simulated annealing to the problem of optimal substation size and placement, and the optimal routing of power distribution feeders. The principles of guided evolutionary simulated annealing are discussed and a model proposed for solution of the problem. The success of the method is demonstrated through computer simulations
    No preview · Conference Paper · Oct 1995
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