Optimal distributed generation allocation in radial distribution systems considering customer-wise dedicated feeders and load patterns

Abstract

Distribution system planners usually provide dedicated feeders to its different class of customers, each of whom has its own characteristic load pattern which varies hourly and seasonally. A more realistic modeling should be devised by considering the daily and seasonal variations in the aggregate load patterns of different class of customers. This paper addresses a new methodology to provide integrated solution for the optimal allocation of distributed generations and network reconfiguration considering load patterns of customers. The objectives considered are to maximize annual energy loss reduction and to maintain a better node voltage profile. Bat algorithm (BA) is a new bio-inspired search algorithm which has shown an advance capability to reach into the promising region, but its exploration is inadequate. The problem is solved by proposing the improved BA (IBA). The proposed method is investigated on the benchmark IEEE 33-bus test distribution system and the results are very promising.

Optimal Allocation of Distributed Energy Resources Using Improved Meta-heuristic Techniques

“…The corresponding load durations are taken 2000, 5260, and 1500 hr, respectively, as in [28]. The thermal limits of feeders are set at 400 A for upstream branches 1 and 2; 250 A for branches 3-5, 18-20, 22-29; and 150 A for the remaining branches of the system, as in [29]. The design and control parameters considered for the proposed methods are given in Table 1.…”

Review of Non-Traditional Optimization Methods for Allocation of Distributed Generation and Energy Storage in Distribution System

“…Kanwar et al [37] proposed an improved bat algorithm for optimal allocation of DGs and network reconfiguration with the aim to minimize energy losses and to improve voltage profile in the radial distribution grid where customers load patterns were considered. The results obtained by testing on the IEEE 33 bus test system showed a significant reduction in power losses and an increase in the minimal node voltage.…”

Transmission congestion management considering multiple and optimal capacity DGs

“…A method based on network reconfiguration along with DG insertion is proposed in [23]. Later, the results were further improved with the implementation of improved bat algorithm (BAT) [24].…”