The aim of this paper to assess the optimal site and size of photovoltaic (PV) generation-based DG along with Distribution Static Synchronous Compensator (DSTATCOM) in the real distribution network East Delta Network (EDN). In this paper, a new optimization method called Slime Mold Algorithm (SMA) simulates the oscillation mode of a slime mold in nature. DSTATCOMs and PV modules are applied to reduce losses, voltage profile and enhance stability while meeting the limitations of equality and inequality in the system. Evaluation is provided with only PV modules installed, DSTATCOMs installed only and PV modules installed with DSTATCOM. The simulations verified that the optimization of PV modules combined with DSTATCOMs can significantly enhance system performance compared to PV only modules or DSTATCOMs and the effectiveness of the proposed algorithm for allocating PVs and DSTATCOMs in terms of objective functions.
In this paper, a novel optimization method called Slime Mould Algorithm (SMA) for solving the ELD and CEED problem is presented. To investigate the effectiveness of the proposed algorithm, the 10 and 40 units considering the valve point loading effect test has been executed. The solving the Economic Load Dispatch (ELD) and Combined Economic and Emission Dispatch (CEED) are crucial task in modern power systems. The aim of ELD is assigning the best generation scheduling for minimum cost generation with satisfying the load demands while the CEED means assigning the best generation scheduling for cost and emission reduction simultaneously. The effectiveness of the proposed algorithm is compared with other algorithms.
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