article · Processes
High penetration of renewable energy sources can worsen the performance and security of electrical distribution networks due to climatic uncertainty. To address this challenge, an analytical study evaluated various renewable integration strategies within a radial distribution network. A bi-stage planning method was established to optimise renewable energy penetration. The initial stage identifies optimal locations and sites for renewable generation to minimise voltage fluctuations across the network. The subsequent stage determines the optimal settings for voltage control devices to enhance the overall voltage profile. A multi-objective cat swarm optimisation algorithm resolves the optimisation problems across both stages. The framework also evaluates the effects of renewable uncertainty and penetration levels on network voltage. When evaluated on the IEEE 34-bus unbalanced distribution test network using backward/forward sweep power flow, the methodology achieved satisfactory outcomes for expanding renewable integration.
Integrating solar and wind power into electricity grids is difficult because weather fluctuations cause unstable voltage levels. Developing automated optimisation methods allows electrical utilities to connect higher amounts of clean power to existing power grids without compromising reliability or causing power quality issues.
This method is applicable to electrical distribution network operators and power engineering software developers seeking to manage distributed renewable energy. Because the approach was evaluated solely through computational modelling on an IEEE 34-bus benchmark system, the work remains at an early stage of development and would require integration into commercial power flow software and field validation before operational adoption.
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The output generations of renewable energy sources (RES) depend basically on climatic conditions, which are the main reason for their uncertain nature. As a result, the performance and security of distribution systems can be significantly worsened with high RES penetration. To address these issues, an analytical study was carried out by considering different penetration strategies for RES in the radial distribution system. Moreover, a bi-stage procedure was proposed for optimal planning of RES penetration. The first stage was concerned with calculating the optimal RES locations and sites. This stage aimed to minimize the voltage variations in the distribution system. In turn, the second stage was concerned with obtaining the optimal setting of the voltage control devices to improve the voltage profile. The multi-objective cat swarm optimization (MO-CSO) algorithm was proposed to solve the bi-stages optimization problems for enhancing the distribution system performance. Furthermore, the impact of the RES penetration level and their uncertainty on a distribution system voltage were studied. The proposed method was tested on the IEEE 34-bus unbalanced distribution test system, which was analyzed using backward/forward sweep power flow for unbalanced radial distribution systems. The proposed method provided satisfactory results for increasing the penetration level of RES in unbalanced distribution networks.
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DOI: 10.3390/pr9030471
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