Abstract:The paper presents a decision-making algorithm that has been developed for the optimum size and placement of distributed generation (DG) units in distribution networks. The algorithm that is very flexible to changes and modifications can define the optimal location for a DG unit (of any type) and can estimate the optimum DG size to be installed, based on the improvement of voltage profiles and the reduction of the network's total real and reactive power losses. The proposed algorithm has been tested on the IEEE 33-bus radial distribution system. The obtained results are compared with those of earlier studies, proving that the decision-making algorithm is working well with an acceptable accuracy. The algorithm can assist engineers, electric utilities, and distribution network operators with more efficient integration of new DG units in the current distribution networks.
Hybrid energy systems can provide various benefits to an island diesel power system. This paper analyses the technical and economic viability of hybrid energy system in the Masirah Island power system in Oman. The methodology involves the use of Hybrid Optimization Model for Electric Renewable (HOMER) for the optimization of the proposed hybrid system. The simulation software package DIgSILENT is used to model and simulate the integration of the proposed hybrid system to the existing network. Different scenarios are considered in both the hybrid system optimization and the assessment of the impact of the hybrid energy system integration implemented different connection scenarios. The obtained results show that the hybrid energy system composed of diesel, photovoltaic and wind generator units is the most economically feasible option since it provides the lowest system net present cost, operating cost and cost of energy, while it also improves the voltage profile at the point of connection.
Hydrogen as fuel has been a promising technology toward climate change mitigation efforts. To this end, in this paper we analyze the contribution of hydrogen technology to our future environmental goals. It is assumed that hydrogen is being produced in higher efficiency across time and this is simulated on Global Change Assessment Model (GCAM). The environmental restrictions applied are the expected emissions representative concentration pathways (RCP) 2.6, 4.5, and 6.0. Our results have shown increasing hydrogen production as the environmental constraints become stricter and hydrogen more efficient in being produced. This increase has been quantified and provided on open access as Supporting Information to this manuscript.
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