Article

Pseudodynamic Planning for Expansion of Power Distribution Systems

Dept. de Ingenieria Electr. e Inf., Zaragoza Univ.
IEEE Transactions on Power Systems (Impact Factor: 2.81). 03/1991; 6(1):245 - 254. DOI: 10.1109/59.131069
Source: IEEE Xplore

ABSTRACT

Basic and extended planning models, based on a pseudodynamic
methodology, for solving the global expansion problem (sizing, locating,
and timing) of distribution substations and feeders throughout the
planning time period are presented. The objective functions that
represent the expansion costs are minimized by successive concatenated
optimizations subject to the Kirchhoff's current law, power capacity
limits, and logical constraints in the basic model. Also presented is an
extended model that is obtained by including the voltage drop
constraints in the basic model

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    • "No Yes Yes Yes No [11] Yes Yes Yes Yes No [3] No No No Yes No [12] Yes Yes Yes No No [4] No Yes Yes Yes Yes [13] Yes Yes Yes Yes No [5] No Yes Yes Yes No [14] Yes Yes Yes Yes No [6] No Yes Yes Yes No [15] Yes Yes Yes Yes No [7] No Yes Yes Yes No [16] No Yes Yes Yes No [8] No Yes Yes Yes No [17] No No Yes No No [9] No Yes Yes Yes No [18] No Yes No No No [10] Yes Yes Yes Yes No [19] "
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    ABSTRACT: In this paper, a new methodology is presented for dynamic expansion planning of sub-transmission substations (DEPSS). The proposed method deals with the expansion schemes of the facilities which should be installed and/or reinforced in order to make the sub-transmission system capable of supplying the forecasted demand at the lowest cost while all technical constraints are satisfied. DEPSS is inherently a mixed integer nonlinear programming (MINLP) problem due to the prevalent electrical and expansion constraints, cost indices in objective function and decision variables. This nonlinear problem is simplified to a linear problem without any neglecting by the proposed method. The location, capacity and construction time of substations and MV feeders, as well as the optimal service area of substations are determined through a dynamic approach for the planning years. Meanwhile, the optimal operation capacities of substations are determined at each load level in every planning year. The effectiveness of the proposed optimization method is discussed in the first case study which is related to just placement and defining the associated service area. Also, the proposed dynamic method is tested on a realistic case study and compared with the static and multistage approaches.
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    ABSTRACT: Optimal multistage expansion of medium-voltage power network because of load growth is a common issue in electrical distribution planning. Minimizing total cost of the objective function with technical constraints, make it a combinatorial problem which should be solved by optimization algorithms. In this paper, a new improved hybrid Tabu Search/ Particle Swarm Optimization algorithm is proposed for multistage distribution network expansion planning. The proposed algorithm is executed in two phases but it is not limited by some optimal solutions of each stage of the planning. It contains adequate adjustment between intensification and diversification. To show the ability of the proposed algorithm, it is applied to a 71-bus 20 kV distribution network as a test case. The numerical results and comparisons show the proposed algorithm can efficiently improve the total cost of distribution network.
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