Abstract

Optimal planning of renewable energy-based DG units (RE-DGs) in active distribution systems (ADSs) has many positive technical and economical implications and aim to increase the overall system performance. The optimal allocation and sizing of RE-DGs, particularly photovoltaic (PV) and wind turbine (WT), is still a challenging task due to the stochastic behavior of renewable resources. This paper proposed a novel methodology to solve the problem of RES-DGs planning optimization based on improved Harris Hawks Optimizer (HHO) using Particle Swarm Optimization (PSO). The uncertainties associated with the intermittent behaviour of PV and WT output powers are considered using appropriate probability distribution functions. The optimization problem is formulated as a non-linear constrained optimization problem with multiple objectives, where power loss reduction, voltage improvement, system stability, and yearly economic saving have been taken as the optimization objectives taken into account various operational constraints. The proposed methodology, namely HHO-PSO, has validated on three test systems; standard IEEE 33 bus and 69 bus systems and 94 bus practical distribution system located in Portuguese. The obtained results reveal that the HHO-PSO provide better solutions and maximizes the techno-economic benefits of the distribution systems for all considered cases and scenarios. Furthermore, simulation results are evaluated by comparing to those well-known approaches reported in the recent literature.

Highlights

  • Worldwide, rapidly increasing electricity demand and load expansion requirements need efficient power planning, and renewable energy sources utilization plays a crucial role to enhance the hosting capacity of the power system economically [1]

  • SIMULATION RESULTS AND DISCUSSIONS In order to elucidate the features of the proposed Harris Hawks Optimizer (HHO)-Particle Swarm Optimization (PSO) algorithm and examine its performance, three radial distribution systems (RDSs) are selected; standard IEEE 33-bus, standard IEEE 69-bus, and practical Portuguese 94-bus (RDSs)

  • The load model of the distribution systems is assumed as a constant power load [54]

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Summary

Introduction

Rapidly increasing electricity demand and load expansion requirements need efficient power planning, and renewable energy sources utilization plays a crucial role to enhance the hosting capacity of the power system economically [1]. The major part of power generation (∼75%) is producing by fossil fuel-based generators such as gas, and micro-turbines [2]. The expected shortage in fossil fuels due to a substantial decrease in their natural backup [3] and the rapid increase of its price in the forthcoming years [4]. Conventional resources produce massive carbon emissions [5]. The power generated by large power plants located at a long distance from load centers, which is usually lost about 15% of active power in power transmission and distribution lines. The long distance and heavy loaded conventional distribution systems severely affect the efficiency of the power system in terms of higher power losses, weak voltage profile, as well as network stability and reliability issues [6]

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