Olympic ranking–based allocation of distributed generation units in distribution networks

Abstract

Summary This paper presents a new analytical approach for optimum placement of distributed generations (DGs) in distribution systems. The proposed algorithm is inspired by the Olympic Games ranking process, which is able to simultaneously consider a wide range of goals such as voltage profile, losses, security, loading, and short‐circuit level without worrying about increasing in complexity or computational burden of the problem. This approach takes advantages of nonsensitivity to initial optimization control parameters, a proper normalization of objective values, less computation time, and providing a unique response in different runs. In viewpoint of distribution system operators and planners, the proposed method can provide a simple and comprehensive tool for analytical and validation purposes due to its transparent decision‐making process. The proposed method is implemented on the IEEE 37‐Bus test system, and the results are compared with the ones obtained by two commonly used methods. The simulation results show the ability, effectiveness, and flexibility of the proposed DG placement method.

A robust control strategy for a single‐phase grid‐connected multibus microgrid based on adaptive sliding mode control and dynamic phasor concept

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Evaluation of service quality of distribution systems with critically located generators

“…The distributed generation (DG) can significantly impact distribution networks, greatly influencing the reliability of the distribution system. In many systems, regulations are imposed on payment of monetary compensations to customers in the case of a supply interruption, which is a concern of distribution system operators (DSOs) 1‐3 …”

Optimal allocation of biomass distributed generation in distribution systems using equilibrium algorithm

“…For solving the problem of optimal integration of DGs in the distribution system, several optimization algorithms have been involved in the literature. In Reference 12, a non‐heuristic Olympic ranking method has been combined with DIgSILENT software to consider several performance indices of losses, voltage, loading, and short circuit currents. However, this method divided the problem into multi‐problems with every single index which does not guarantee to acquire the minimal solution.…”

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