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• W4226337346 abstract "A new method for optimal integration of renewable energy sources (RESs) in the electrical distribution system (EDS) that is based on the deployment of photovoltaic solar panels and wind turbines is presented in this chapter. In this chapter, a new optimization algorithm has been proposed to solve the techno-economic analysis problem of optimal location and sizing of RES-based distributed generators (DG) in the EDS. The objectives of the proposed optimization technique are reducing the active power loss (APL) index and improving the two following indices: total voltage variation (TVV) and total operating cost (TOC). This chapter aims to apply a modified whale optimization algorithm (WOA), which is named cosine adapted WOA algorithm (CAWOA). The CAWOA is proposed to solve this problem considering the previously mentioned indices as the multiobjective function, subject to equality and inequality constraints. These constraints are based on two types of distributed generators (DGs): photovoltaic-based generators (PV-DG) that inject only active power (i.e., maintain a unity power factor) and wind-based generators (WT-DG) that inject both active and reactive powers with an optimum lagging power factor, which influences the power losses. The approach is applied to the standard IEEE 33-, 69-, and 118-bus EDS. Numerical and graphical comparative studies are conducted to benchmark the CAWOA results against those obtained using other powerful algorithms existing in the literature. Active and reactive branch currents are calculated and plotted to show how the DG types affect the current flow in the distribution lines. The active and reactive branch currents are calculated, and the results show that the currents are minimized after the installation of DGs, and the profile of the current is reduced more by the presence of WT-DGs. Careful and realistic results have been attained by a linear change in loads; the loadability results show that the total power losses and the voltage profiles are proportional with the increasing or decreasing of loads. To show the performance of the proposed algorithms, the obtained results have been compared with other excising results algorithms from the literature, the comparative study shows that CAWOA is better than the compared algorithms in terms of minimizing the power losses of the studied systems, also it’s performed well and obtain better results considering the same number of DGs installed in the systems. In general, the results show that CAWAO can handle this type of the proposed objective function. This research work gives guidelines and hints for power distribution companies to reduce power losses. This reduction in power losses will enable utilities to avoid penalties and compensations incurred, which results in improving profitability margins. This work will also help the power distribution companies in incorporating small-sized renewable energy sources into distribution networks easily and more reliably." @default.
• W4226337346 created "2022-05-05" @default.
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• W4226337346 date "2022-01-01" @default.
• W4226337346 modified "2023-10-16" @default.
• W4226337346 title "Optimal allocation of renewable energy sources in electrical distribution systems based on technical and economic indices" @default.
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• W4226337346 doi "https://doi.org/10.1016/b978-0-323-91228-0.00014-8" @default.
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