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TECHNO- ECONOMIC ANALYSIS OF SOLAR POWER PLANT SYSTEMS TO REALIZE SUSTAINABLE DEVELOPMENT GOALS (SDGS) Aripriharta, Aripriharta; Sari, Lia Yunita; Faiz, Mohamad Rodhi; Affandi, Arif Nur; Susilo, Suhiro Wongso; Rosmin, Norzanah Binti; Omar, Saodah
Jurnal Inovasi Teknologi dan Edukasi Teknik Vol. 4 No. 10 (2024)
Publisher : Universitas Ngeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Energy issues related to global warming, the environment, and energy flows are socio-economic challenges in the demand for electrical energy. The demand for electrical energy will increase by around 11-12% in 2025 and 6-7% by 2050 with the Indonesian State Electricity Company being the primary supplier of electrical energy which is mostly sourced from fossil fuels. Applying renewable energy is a solution to reducing dependence on fossil fuels. This study analyzes the technical and economic feasibility of a 46 kWp Solar Power Plant in Beloh village by utilizing PVsyst software. This hybrid system uses 184 solar panels with a capacity of 250 Wp, 2 units of 20 kW inverters, and 224 units of 100 Ah batteries. The results showed that the system output power is 189.25 kWh per day or 69077 kWh/year which will supply the load of 40 houses of 166.82 kWh/ day. In realizing the SDGs, solar power plants can apply SDG 7 with a Performance Ratio (PR) value of 75.7%, SDG 9 regarding industry, innovation, and infrastructure, SDG 11 related to sustainable cities and human settlements. This solar power plant is very environmentally friendly and can reduce carbon dioxide emissions by 1118 tons/25 years. This designed solar power plant system is accompanied by an economic analysis of Net Present Value (NPV) amounting to IDR 404,631,838. Payback Period in the 9th year, Break Even Point (BEP) achieved in the 8th year, and Return on Investment (ROI) of215%.
Optimization of distributed generation placement in distribution network based on queen honey bee migration algorithm Fachriyyah, Alif Dhurrotul; Aripriharta, Aripriharta; Sujito, Sujito; Prasetyo, Muchamad Wahyu; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah binti; Omar, Saodah; Horng, Gwo Jiun
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 2 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.856

Abstract

In this research, an optimal distributed generation (DG) placement method for radial distribution systems based on queen honey bee migration (QHBM) and backward forward sweep (BFS) is presented. The suggested approach makes it possible to evaluate DG placement options in terms of branch currents, voltage profiles, and active power losses in a physically consistent manner. DG units are characterized as photovoltaic-based sources operating at unity power factor using an explicit net load formulation at the bus level, ensuring a clear interplay between DG injection and current-based load flows. Throughout the optimization process, a constraint-aware migration technique is employed to explicitly impose voltage limitations with the goal of minimizing overall active power losses while maintaining bus voltage magnitudes within allowable bounds. The proposed method was tested on an IEEE 69-bus radial distribution system to evaluate its performance. The results show that the placement of three DG units with a total installed capacity of approximately 2600 kW at buses 61, 64, and 17 produces a significant improvement in network operation. Under this arrangement, active power losses drop markedly from 224.4419 kW in the base condition to 72.7840 kW, corresponding to a reduction of 67.6 %. At the same time, the lowest bus voltage rises from 0.9104 p.u. to 0.9931 p.u., while voltage levels across the network consistently remain within the allowable range of 0.95–1.05 p.u. The study's findings suggest that QHBM-BFS can be used as a trustworthy and useful method for figuring out where DG should be placed in radial distribution systems.