Learning Curve Analysis of Photovoltaic System in Residential Building in Thailand

Grid-Tied Distributed Generation Systems to Sustain the Smart Grid Transformation: Tariff Analysis and Generation Sharing

“…SES actions are based on the situational awareness and degree of criticality-both having a distinct power-quality footprint being exhibited by the system. The solution to this challenge has been designed and developed based on energy homeostasis principles [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] and engineered in form of what has been termed and conceptualized as energy homeostaticity in the literature [16][17][18]. Homeostaticity in energy systems is that property, designed and engineered in the energy system itself, which seeks 1) to restore the system from a systemic imbalance or disruption that has altered its normal or steady state mode of operation, and 2) to bring about a rapid, effective and efficient state of equilibrium between the energy supply and the energy expenditure (consumption by the loads) at all times, whatever the circumstances, to preserve and maintain stability of operation in the energy system.…”

“…They propose a robust framework based on a local and optimal microgrid, combined with learning curves to assess the potential penetration of Distributed Energy Resources (DER) in households [24]. Likewise, several other authors [25][26][27][28][29][30] have also done extensive research on the subject of learning curve analysis of solar photovoltaic systems as the chief DER technology being incorporated as an on-grid renewable energy supply to the electric power distribution markets. This is particularly true in the residential sector, as well as research on solar photovoltaic grid parity, addressing the various issues and challenges present as well as the status of different PV markets.…”