95% of energy use in Indonesia is still dominated by fossil fuels. One way to meet the increasing needs using renewable energy.. The most easily available and popular today Solar Power Plants. Currently, solar power plants have various types maximize their potential, one which hybrid PV-genset system. This research was conducted at SMKN Central Java has a plant pv-genset system connecting outpu...

In photovoltaic (PV) systems, maximum power point (MPP) is tracked by matching the load impedance to internal of PV array adjusting duty cycle associated DC-DC converter. Scientists are trying improve efficiency these converters improving performance stage, while limited attention given finding alternative methods. This article describes a novel supercapacitor (SC) assisted technique enhance sy...

Hot dry rock (HDR) power stations have the potential to serve as an energy storage system for large-scale photovoltaic (PV) plants. For flexible operation, thermal (TS) are required coordinate with HDR stations. In this study, a hybrid is constructed by combining HDR, TS, and PV Game theory then introduced into optimal dispatch of system. Considering players, non-cooperative cooperative game di...

Abstract Hybrid Renewable Energy System is a very good solution to the energy deficit encounter in developing countries. The paper presents optimal design of hybrid renewable system regarding technical aspect that Loss Power Supply Probability (LPSP), economic Cost Electricity (COE) and Net Present (NPC) environmental Total Greenhouse gases emission (TGE) aspects using multi-objective Particle ...

In the contemporary framework where depletion of fossil fuel resources and environmental pollution with dramatic climate changes leading to constrain alternate energy resources. Renewable sources have been arising as a popular alternative resource, construction these renewable solar wind has developed reliable source supplies. The paper mainly objects hybridized model that generates power hybri...

Accurate photovoltaic (PV) prediction has a very positive effect on many problems that power grids can face when there is high penetration of variable energy sources. This problem be addressed with computational intelligence algorithms such as neural networks and Evolutionary Optimization. The purpose this article to analyze three different hybridizations between physical models artificial netw...