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From looking at customer_group.jl and regulator.jl, customers.d is consistently treated as inclusive of distribution losses, and is scaled by (1 - utility.loss_dist) when used to calculate quantities at the customer-level.
In contrast, DER energy data (rho_DG) is always used as-is, at both the customer and the system level. Given that the DER capacity is nameplate, I think rho_DG * capacity should be interpreted as meter-level, and thus at times inflated with the factor (1 + utility.loss_dist) when used at the system level (sometimes in regulator.jl, and whenever used as part of a VPP in utility.jl or ipp_group.jl) under the assumption that changes in net load will mostly not travel very far through the distribution system.
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Ah, do you mean if BTM load is d_BTM, BTM gen is g_BTM, the load with transmission loss would be (d_BTM-g_BTM)*(1+loss_dist), that's why we need to scale BTM generation up by (1+loss_dist)? That makes sense. To be consistent, I guess when we get the load without loss, we currently do d*(1-loss_dist) (where d is the load with loss), maybe it is more accurate to do d/(1+loss_dist)?
From looking at customer_group.jl and regulator.jl, customers.d is consistently treated as inclusive of distribution losses, and is scaled by (1 - utility.loss_dist) when used to calculate quantities at the customer-level.
In contrast, DER energy data (rho_DG) is always used as-is, at both the customer and the system level. Given that the DER capacity is nameplate, I think rho_DG * capacity should be interpreted as meter-level, and thus at times inflated with the factor (1 + utility.loss_dist) when used at the system level (sometimes in regulator.jl, and whenever used as part of a VPP in utility.jl or ipp_group.jl) under the assumption that changes in net load will mostly not travel very far through the distribution system.
The text was updated successfully, but these errors were encountered: