Add Constraints for PEM electricity #7
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Xinhe-Chen
commented
Dec 1, 2022
| @@ -197,6 +197,10 @@ def conceptual_design_dynamic_RE(input_params, num_rep_days, verbose = False, pl | |||
| scenario_model.pem_max_p = Constraint(scenario_model.TIME, | |||
| rule=lambda b, t: blks[t].fs.pem.electricity[0] <= m.pem_system_capacity) | |||
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| # This constraint requires the pem electricity = wind_generated - dispatched. | |||
| scenario_model.pem_usage = Constraint(scenario_model.TIME, | |||
| rule=lambda b, t: blks[t].fs.pem.electricity[0] == max(0, clustered_wind_resource[t]-clustered_capacity_factors[t])) | |||
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Add the P_max_wind to multiple the capacity factors.
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Addresses issue:
Summary/Motivation:
Add a constraint for PEM electricity (consider the infeasibility caused by clustering)
Changes proposed in this PR:
Infeasibility caused by clustering is that the capacity of the dispatch representative profile is higher than the corresponding wind representative profile. (K-means will average the data points)
Need to check the original data. We are using Day-Ahead wind profile.
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