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Numerous potential advantages to the requirements and effectiveness of the supplied electricity can be accomplished by the installation of distributed generation units. In order to take full advantage of these benefits, it is essential to position the Distributed Generation (DG) units in appropriate locations. Otherwise, their installation may have an adverse effect on the quality of energy and system operation. Several optimization techniques have been created over the years to optimize distributed generation integration. Optimization techniques are therefore constantly changing and have been the main attention of many fresh types of research lately. This article evaluates cutting-edge techniques of optimizing the issue of positioning and sizing distributed generation units from renewable energy sources based on recent papers that have already been applied to distribution

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Biomass has several benefits due to its novel behavior among energy sources. This study aims to characterize a unique form of biomass from two varieties of Matooke peel, namely, untreated Mbwazirume waste peel (UM-WP) and untreated Nakyinyika waste peel (UN-WP). The analysis of the characteristics of these biomasses was carried out using TGA, SEM, and EDXS. TG and DTG analysis showed an almost identical trend between UM-WP and UN-WP. The UM-WP exhibited a high VC 69.988 wt%, MC 13.125 wt%, O 48.02 wt%, and HHV 15.52 MJ-kg −1 with a low ash content 5.957 wt%, sulfur 0.64 wt%, and N 1.13 wt% compared to UN-WP. As compared to pretreated biomass, it was found that the smaller particle sizes had only minor intra-particle gradients and the bigger particle sizes had more of a linear pattern variation. The pyrolysis behavior obtained revealed three distinct regions at elevated temperatures related to the elimination of cellulose, hemicellulose, and lignin. During carbonization, high fluidity and bubbles were produced due to the release of a large amount of volatile matter and forms porous structure which flowed through the fluid mass and produced a non-homogeneous vacuolated structure. These might cause the oxygen to easily disperse inside the particles during combustion. In addition, white spots were observed which are elements from different categories. The findings of this study indicate that UM-WP biomass could be an ideal material source for the production of biofuel and photovoltaic.

Distributed generation (DG) plays a vital role in electrical power networks. However, power loss reduction, voltage profile improvement, friendly environment, and reliability are all benefits of DG units. In this research work, a worthwhile methodology is recommended for optimal allocation of traditional (gas turbine) and renewable energy sources that are based on distributed generators which include solar and wind in the distribution system. The major objective of the research paper is the minimization of real, reactive power losses and emissions produced during the application of these conventional sources. Originally, the best locations to place this DG are identified using the concept of water, energy, and food algorithm (WEFA). The number and sizes of these renewable energy sources selected (wind and solar) are determined by applying the concepts of the Dragonfly Algorithm. The Weibull and beta distribution functions are modeled to extract the exact position to fix our DGs to minimize losses within the distribution network. To assess the performance of WEF five different cases scenario considered are DG capacity, Location of Bus, voltage profile, maximum power loss as well as utilization rate. The proposed WEF Algorithm is tested on the IEEE standard 33-bus system. The simulated results were compared with others found in literature and found to be better in terms of power loss reductions.