Open AccessVirtual storage capacity using demand response management to overcome intermittency of solar PV generation
Author(s) -
Kandasamy Nandha Kumar,
Tseng King Jet,
BoonHee Soong
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2017.0036
Subject(s) - photovoltaic system , intermittency , energy storage , renewable energy , sizing , computer science , reliability engineering , solar energy , automotive engineering , environmental science , process engineering , engineering , power (physics) , electrical engineering , meteorology , turbulence , physics , art , quantum mechanics , visual arts
The integration of solar photovoltaic (PV) systems into the distribution network creates various stability and reliability issues associated with the intermittency of solar PV power generation. Energy storage is a vital component required for overcoming the intermittency of solar PV. This study presents a priority‐based demand response management (DRM) for loads with large time constants to create virtual energy storage. The virtual energy storage thus created can be used for partial levelling of intermittent output from solar PVs. The proposed DRM algorithm involves controlling loads with large time constants such as air conditioning systems and refrigerators based on the forecasted solar PV generation. The proposed method is evaluated using data‐driven simulations, weather data and mathematical models. The proposed algorithm is highly suitable for megacities that have high number of multi‐storey residential buildings. Utilising the virtual storage capacity available from the appliances will reduce the investment as well as the operation cost of renewable energy such as solar PV. Analyses on impact on temperature, percentage of interruptions, cost savings and impact on energy storage sizing are also presented for evaluating the performance of the proposed algorithm.