Abstract
This work presents a method for distribution network reconfiguration with the simultaneous consideration of distributed generation (DG) allocation. The uncertainties of load fluctuation before the network reconfiguration are also considered. Three optimal objectives, including minimal line loss cost, minimum Expected Energy Not Supplied, and minimum switch operation cost, are investigated. The multi-objective optimization problem is further transformed into a single-objective optimization problem by utilizing weighting factors. The proposed network reconfiguration method includes two periods. The first period is to create a feasible topology network by using binary particle swarm optimization (BPSO). Then the DG allocation problem is solved by utilizing sensitivity analysis and a Harmony Search algorithm (HSA). In the meanwhile, interval analysis is applied to deal with the uncertainties of load and devices parameters. Test cases are studied using the standard IEEE 33-bus and PG&E 69-bus systems. Different scenarios and comparisons are analyzed in the experiments. The results show the applicability of the proposed method. The performance analysis of the proposed method is also investigated. The computational results indicate that the proposed network reconfiguration algorithm is feasible.
Highlights
The distribution generation (DG) integration in distribution networks (DNs) has become a hot research topic
The multi-objective network reconfiguration optimization model is formulated with the consideration of minimum line loss, minimum Expected Energy Not Supplied (EENS) and minimum switch operation cost, and the optimization problem is solved by combining Binary Particle Swarm Optimization (BPSO) and Harmony Search algorithm (HSA) considering the DG placement
Four scenarios are set to be investigated in network reconfiguration as follows: (I) the system is in normal status; (II) only reconfiguration is considered, and interval analysis is utilized by using interval data; (III) DG units are integrated in the system without the consideration of reconfiguration, with only crisp result; (IV) Both DG integration and reconfiguration are all considered in the system
Summary
The distribution generation (DG) integration in distribution networks (DNs) has become a hot research topic. After establishing a feasible radial distribution structure, DG units can be set with adjusted output in the reconfigured network to further improve the optimization results. Lee et al [12] proposed a two-stage robust optimization model for the distribution network reconfiguration problem with load uncertainty. Zhang and Li [4] utilized interval analysis in a heuristic method to demonstrate how uncertain parameters influenced the reconfiguration result They chose reliabilities and economy as the main objectives instead of solely power loss optimization. The multi-objective network reconfiguration optimization model is formulated with the consideration of minimum line loss, minimum Expected Energy Not Supplied (EENS) and minimum switch operation cost, and the optimization problem is solved by combining Binary Particle Swarm Optimization (BPSO) and.
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