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1 results about "Diversity factor" patented technology

Diversity factor (or simultaneity factor kₛ) is the ratio of the sum of the individual non-coincident maximum loads of various subdivisions of the system to the maximum demand of the complete system. The diversity factor is almost always larger than 1 since all components would have to be on simultaneously at full load for it to be one. The aggregate load is time dependent as well as being dependent upon equipment characteristics. The diversity factor recognizes that the whole load does not equal the sum of its parts due to this time interdependence or "diversity." For example, one might have ten air conditioning units that are 20 tons each at a facility with an average full load equivalent operating hours of 2000 hours per year. However, since the units are each thermostatically controlled, it is not known exactly when each unit turns on. If the ten units are substantially larger than the facility's actual peak AC load, then fewer than all ten units will likely come on at once. Thus, even though each unit runs a total of 2000 hours a year, they do not all come on at the same time to affect the facility's peak load. The diversity factor provides a correction factor to use, resulting in a lower total power load for the ten AC units. If the energy balance done for this facility comes out within reason, but the demand balance shows far too much power for the peak load, then one can use the diversity factor to bring the power into line with the facility's true peak load. The diversity factor does not affect the energy; it only affects the power.

A Multi-Dimensional Collaborative Community-Shared Energy Storage Optimization and Scheduling Method

This invention belongs to the field of power system optimization and energy storage operation technology, specifically involving a multi-dimensional collaborative community-shared energy storage optimization scheduling method. It includes: establishing a dual-constraint scheduling model for a community-shared energy storage system based on relative diversity factors, combining a hard upper limit on total subscriptions with a soft data-driven threshold based on relative diversity factors, and using the non-overlapping nature of user loads to define the boundary of overlapping demand; constructing a two-layer optimization scheduling architecture of outer-layer price setting and inner-layer capacity allocation, introducing a piecewise linear proxy model to achieve fair capacity allocation with the goal of maximizing the minimum user benefit-cost ratio; and establishing an evaluation method that maps user differences to expected shortage costs. This invention provides a multi-dimensional collaborative community-shared energy storage optimization scheduling method that integrates user diversity constraints, supply-demand benefit balance, and risk closed-loop control, filling a gap in existing technology and promoting the large-scale application of shared energy storage in community scenarios.
Owner:ECONOMIC TECH RES INST OF STATE GRID HENAN ELECTRIC POWER +1