Maximum Penetration of Distributed Generations and Improvement of Technical Indicators in Distribution Systems

Abstract

Increasing the possible capacity of distributed generations (DGs) supplying to distribution system (DS) is a highly effective solution to attract the investment of distributed generation (DG) installation in the DS. However, the presence of DGs will affect the technical indicators of the DS. This paper determines solutions of the DG placement problem for maximizing the size of distributed generations (DGs) and improving the technical indicators consisting of power loss reduction, increasing of balance among feeders and balance among branches, and voltage deviation reduction. A max-min method is proposed to combine the membership objective functions. The location and size of DGs are optimized based on an improved cuckoo search algorithm (ICSA). The simulation results for the 84-node system show that the proposed multiobjective problem not only helps to increase the capacity of DGs but also improves the technical factors. Moreover, the DG’s uncertainty is also validated to show its negative impacts on the technical indicators of the DS. Furthermore, ICSA is worthy for finding the optimal solution for the DG placement problem.

Reduction of Emission Cost, Loss Cost and Energy Purchase Cost for Distribution Systems With Capacitors, Photovoltaic Distributed Generators, and Harmonics

“…If 𝑝 𝑒𝑔𝑚𝑠 is higher than or equal to 𝑟𝑑 2 , then Eqs. (19)(20)(21)(22) are applying for creating the new bonobo. For this stage, the two interrmediate measured values (𝐵 1 and 𝐵 2 ) for determining the equation of producing offspring (𝑁𝑏𝑜𝑛 𝑗 𝑖 ) can be defined by [30]: (18) The equations and accompanying conditions for generating new bonobo at this stage can be listed as follows [34]: In the case of 𝑝 𝑒𝑔𝑚𝑠 is smaller than 𝑟𝑑 2 , the new bonobo is generated by using Eq.…”

“…These hybrid systems had a great contribution in keeping stability for the power grid and reaching a big potential in replacing fossil fuel sources. In general, most studies only considered power loss reduction as primary goal and the most optimal capacity range of RDGs was not suggested [20]. However, it is extremely important to consider the reduction of the costs for purchasing electricity for load demand, power loss on transmission lines and generating emissions from fossil fuel generation units.…”

Coot Optimization Algorithm for Optimal Placement of Photovoltaic Generators in Distribution Systems Considering Variation of Load and Solar Radiation

“…e study [21] has considered the highest power of PVGs in RDNs for optimizing economic objectives and technical objectives.…”