Facilitating Better Scheduling of Smart Grid

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I. INTRODUCTION A key objective of smart grid efforts is to substantially increase the penetration of renewable energy sources, such as solar and wind. As per the Solar Mission under the National Action Plan on Climate Change, the central government of India plans to generate up to 20 GW grid-based solar power, and cover 20 million square metres with solar energy collectors by 2020[1]. However land acquisition is a challenge to solar farm projects in India, hence there is a need to utilize residential roof tops for harvesting of solar energy. Substantial grid integration of renewables is challenging, since their power generation is intermittent and uncontrollable. The modern electric grid permits households to consume electricity in essentially arbitrary quantities at any time, and is not currently designed for vast quantities of uncontrollable generation. Instead, the grid constantly monitors the demand for electricity, and dispatches generators to satisfy demand as it rises and falls. Fortunately, electricity demand is highly predictable when aggregating over thousands of buildings and homes. As a result, today’s grid is able to accurately plan in advance which generators to dispatch, and when, to satisfy demand.
The challenge with substantial integration of renewable energy is that the electricity generated by renewables is not easily predictable in advance and varies based on both weather conditions and site-specific conditions. For large scale solar farms producing

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