الفهرس 
Chapter 1 Introduction and Literature ReviewOnly 14 pages are availabe for public view
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Abstract
This thesis proposes a modern and original way to specify the value of optimal placement and penetration of the Distributed Static Synchronous Compensators (DSTATCOMs) and Distributed Generators (DGs) integrated into a distribution network for improving the system voltage and power losses. The objective is to minimize the total active power losses and improve the voltage stability index while keeping the voltage profiles in the network within specified limits of the distribution systems’ standard. The thesis applies the Grasshoppers Optimization Algorithm which simulates the swarming behavior of grasshoppers in nature. A Multi-Objective Grasshoppers Optimization (MOGO) Algorithm is suggested to obtain the optimal size of DGs and DSTATCOMs in the distribution network. First, a power flow is implemented by applying a forward-backward algorithm using the bus injections to the branch currents matrix and the branch-current to the bus-voltage matrix. Next, the loss sensitivity factor is applied to specify the candidate buses for optimal placement of the DGs and DSTATCOMs. Then, a MOGO algorithm is performed to obtain the optimal penetration of DGs and DSTATCOMs in distribution systems. The proposed approach is applied to both IEEE 33-bus and IEEE 69-bus radial distribution systems in different scenarios to demonstrate the effectiveness of the approach. The simulation results show that there is a reasonable reduction in power
loss and improvement in voltage stability index for optimal size and location of DG and DSTATCOM in the distribution system. The superiority of the approach is shown by comparing the results with other optimization algorithms. Due to uncertainty in the daily load variation and the stochastic nature of renewable energy sources, the proposed algorithm is applied when considering these uncertainties. Two types of renewable energy sources are considered including PV and wind turbines. The proposed MOGO algorithm is applied while considering the uncertainties of both the load, solar radiation, and wind speed to an IEEE 33-bus standard system to detect optimal sizing and sitting of DG/DSTATCOMs in the distribution system. Different scenarios are considered to obtain the most suitable planning model and analyze the effectiveness of the proposed algorithm.