/
grid.json
1740 lines (1740 loc) · 57.5 KB
/
grid.json
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{
"_module": "pandapower.auxiliary",
"_class": "pandapowerNet",
"_object": {
"bus": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"vn_kv\",\"type\",\"zone\",\"in_service\"],\"index\":[0,1,2,3,4],\"data\":[[\"substation_1\",100.0,\"b\",null,true],[\"substation_2\",100.0,\"b\",null,true],[\"substation_3\",100.0,\"b\",null,true],[\"substation_4\",100.0,\"b\",null,true],[\"substation_5\",100.0,\"b\",null,true]]}",
"orient": "split",
"dtype": {
"name": "object",
"vn_kv": "float64",
"type": "object",
"zone": "object",
"in_service": "bool"
}
},
"load": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"const_z_percent\",\"const_i_percent\",\"sn_mva\",\"scaling\",\"in_service\",\"type\"],\"index\":[0,1,2],\"data\":[[\"load_0_0\",0,10.0,7.0,0.0,0.0,null,1.0,true,null],[\"load_3_1\",3,10.0,7.0,0.0,0.0,null,1.0,true,null],[\"load_4_2\",4,10.0,7.0,0.0,0.0,null,1.0,true,null]]}",
"orient": "split",
"dtype": {
"name": "object",
"bus": "uint32",
"p_mw": "float64",
"q_mvar": "float64",
"const_z_percent": "float64",
"const_i_percent": "float64",
"sn_mva": "float64",
"scaling": "float64",
"in_service": "bool",
"type": "object"
}
},
"sgen": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\",\"current_source\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"bus": "int64",
"p_mw": "float64",
"q_mvar": "float64",
"sn_mva": "float64",
"scaling": "float64",
"in_service": "bool",
"type": "object",
"current_source": "bool"
}
},
"motor": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"bus\",\"pn_mech_mw\",\"loading_percent\",\"cos_phi\",\"cos_phi_n\",\"efficiency_percent\",\"efficiency_n_percent\",\"lrc_pu\",\"vn_kv\",\"scaling\",\"in_service\",\"rx\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"bus": "int64",
"pn_mech_mw": "float64",
"loading_percent": "float64",
"cos_phi": "float64",
"cos_phi_n": "float64",
"efficiency_percent": "float64",
"efficiency_n_percent": "float64",
"lrc_pu": "float64",
"vn_kv": "float64",
"scaling": "float64",
"in_service": "bool",
"rx": "float64"
}
},
"asymmetric_load": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"bus\",\"p_a_mw\",\"q_a_mvar\",\"p_b_mw\",\"q_b_mvar\",\"p_c_mw\",\"q_c_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"bus": "uint32",
"p_a_mw": "float64",
"q_a_mvar": "float64",
"p_b_mw": "float64",
"q_b_mvar": "float64",
"p_c_mw": "float64",
"q_c_mvar": "float64",
"sn_mva": "float64",
"scaling": "float64",
"in_service": "bool",
"type": "object"
}
},
"asymmetric_sgen": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"bus\",\"p_a_mw\",\"q_a_mvar\",\"p_b_mw\",\"q_b_mvar\",\"p_c_mw\",\"q_c_mvar\",\"sn_mva\",\"scaling\",\"in_service\",\"type\",\"current_source\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"bus": "int64",
"p_a_mw": "float64",
"q_a_mvar": "float64",
"p_b_mw": "float64",
"q_b_mvar": "float64",
"p_c_mw": "float64",
"q_c_mvar": "float64",
"sn_mva": "float64",
"scaling": "float64",
"in_service": "bool",
"type": "object",
"current_source": "bool"
}
},
"storage": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"q_mvar\",\"sn_mva\",\"soc_percent\",\"min_e_mwh\",\"max_e_mwh\",\"scaling\",\"in_service\",\"type\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"bus": "int64",
"p_mw": "float64",
"q_mvar": "float64",
"sn_mva": "float64",
"soc_percent": "float64",
"min_e_mwh": "float64",
"max_e_mwh": "float64",
"scaling": "float64",
"in_service": "bool",
"type": "object"
}
},
"gen": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"bus\",\"p_mw\",\"vm_pu\",\"sn_mva\",\"min_q_mvar\",\"max_q_mvar\",\"scaling\",\"slack\",\"in_service\",\"type\"],\"index\":[0,1],\"data\":[[\"gen_0_0\",0,10.0,1.02,null,null,null,1.0,false,true,null],[\"gen_1_1\",1,20.0,1.02,null,null,null,1.0,true,true,null]]}",
"orient": "split",
"dtype": {
"name": "object",
"bus": "uint32",
"p_mw": "float64",
"vm_pu": "float64",
"sn_mva": "float64",
"min_q_mvar": "float64",
"max_q_mvar": "float64",
"scaling": "float64",
"slack": "bool",
"in_service": "bool",
"type": "object"
}
},
"switch": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"bus\",\"element\",\"et\",\"type\",\"closed\",\"name\",\"z_ohm\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"bus": "int64",
"element": "int64",
"et": "object",
"type": "object",
"closed": "bool",
"name": "object",
"z_ohm": "float64"
}
},
"shunt": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"bus\",\"name\",\"q_mvar\",\"p_mw\",\"vn_kv\",\"step\",\"max_step\",\"in_service\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"bus": "uint32",
"name": "object",
"q_mvar": "float64",
"p_mw": "float64",
"vn_kv": "float64",
"step": "uint32",
"max_step": "uint32",
"in_service": "bool"
}
},
"ext_grid": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"bus\",\"vm_pu\",\"va_degree\",\"in_service\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"bus": "uint32",
"vm_pu": "float64",
"va_degree": "float64",
"in_service": "bool"
}
},
"line": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"std_type\",\"from_bus\",\"to_bus\",\"length_km\",\"r_ohm_per_km\",\"x_ohm_per_km\",\"c_nf_per_km\",\"g_us_per_km\",\"max_i_ka\",\"df\",\"parallel\",\"type\",\"in_service\"],\"index\":[0,1,2,3,4,5,6,7],\"data\":[[null,\"NAYY 4x50 SE\",0,1,4.0,0.642,0.083,210.0,0.0,0.6,1.0,1,\"cs\",true],[\"0_2_2\",\"NAYY 4x50 SE\",0,2,4.47,0.642,0.083,210.0,0.0,0.22,1.0,1,\"cs\",true],[\"0_3_3\",\"NAYY 4x50 SE\",0,3,5.65,0.642,0.083,210.0,0.0,0.16,1.0,1,\"cs\",true],[\"0_4_4\",\"NAYY 4x50 SE\",0,4,4.0,0.642,0.083,210.0,0.0,0.16,1.0,1,\"cs\",true],[\"1_2_5\",\"NAYY 4x50 SE\",1,2,2.0,0.642,0.083,210.0,0.0,0.6,1.0,1,\"cs\",true],[\"2_3_6\",\"NAYY 4x50 SE\",2,3,2.0,0.642,0.083,210.0,0.0,0.3,1.0,1,\"cs\",true],[\"2_3_7\",\"NAYY 4x50 SE\",2,3,2.0,0.642,0.083,210.0,0.0,0.3,1.0,1,\"cs\",true],[\"3_4_8\",\"NAYY 4x50 SE\",3,4,4.0,0.642,0.083,210.0,0.0,0.16,1.0,1,\"cs\",true]]}",
"orient": "split",
"dtype": {
"name": "object",
"std_type": "object",
"from_bus": "uint32",
"to_bus": "uint32",
"length_km": "float64",
"r_ohm_per_km": "float64",
"x_ohm_per_km": "float64",
"c_nf_per_km": "float64",
"g_us_per_km": "float64",
"max_i_ka": "float64",
"df": "float64",
"parallel": "uint32",
"type": "object",
"in_service": "bool"
}
},
"trafo": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"std_type\",\"hv_bus\",\"lv_bus\",\"sn_mva\",\"vn_hv_kv\",\"vn_lv_kv\",\"vk_percent\",\"vkr_percent\",\"pfe_kw\",\"i0_percent\",\"shift_degree\",\"tap_side\",\"tap_neutral\",\"tap_min\",\"tap_max\",\"tap_step_percent\",\"tap_step_degree\",\"tap_pos\",\"tap_phase_shifter\",\"parallel\",\"df\",\"in_service\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"std_type": "object",
"hv_bus": "uint32",
"lv_bus": "uint32",
"sn_mva": "float64",
"vn_hv_kv": "float64",
"vn_lv_kv": "float64",
"vk_percent": "float64",
"vkr_percent": "float64",
"pfe_kw": "float64",
"i0_percent": "float64",
"shift_degree": "float64",
"tap_side": "object",
"tap_neutral": "int32",
"tap_min": "int32",
"tap_max": "int32",
"tap_step_percent": "float64",
"tap_step_degree": "float64",
"tap_pos": "int32",
"tap_phase_shifter": "bool",
"parallel": "uint32",
"df": "float64",
"in_service": "bool"
}
},
"trafo3w": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"std_type\",\"hv_bus\",\"mv_bus\",\"lv_bus\",\"sn_hv_mva\",\"sn_mv_mva\",\"sn_lv_mva\",\"vn_hv_kv\",\"vn_mv_kv\",\"vn_lv_kv\",\"vk_hv_percent\",\"vk_mv_percent\",\"vk_lv_percent\",\"vkr_hv_percent\",\"vkr_mv_percent\",\"vkr_lv_percent\",\"pfe_kw\",\"i0_percent\",\"shift_mv_degree\",\"shift_lv_degree\",\"tap_side\",\"tap_neutral\",\"tap_min\",\"tap_max\",\"tap_step_percent\",\"tap_step_degree\",\"tap_pos\",\"tap_at_star_point\",\"in_service\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"std_type": "object",
"hv_bus": "uint32",
"mv_bus": "uint32",
"lv_bus": "uint32",
"sn_hv_mva": "float64",
"sn_mv_mva": "float64",
"sn_lv_mva": "float64",
"vn_hv_kv": "float64",
"vn_mv_kv": "float64",
"vn_lv_kv": "float64",
"vk_hv_percent": "float64",
"vk_mv_percent": "float64",
"vk_lv_percent": "float64",
"vkr_hv_percent": "float64",
"vkr_mv_percent": "float64",
"vkr_lv_percent": "float64",
"pfe_kw": "float64",
"i0_percent": "float64",
"shift_mv_degree": "float64",
"shift_lv_degree": "float64",
"tap_side": "object",
"tap_neutral": "int32",
"tap_min": "int32",
"tap_max": "int32",
"tap_step_percent": "float64",
"tap_step_degree": "float64",
"tap_pos": "int32",
"tap_at_star_point": "bool",
"in_service": "bool"
}
},
"impedance": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"from_bus\",\"to_bus\",\"rft_pu\",\"xft_pu\",\"rtf_pu\",\"xtf_pu\",\"sn_mva\",\"in_service\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"from_bus": "uint32",
"to_bus": "uint32",
"rft_pu": "float64",
"xft_pu": "float64",
"rtf_pu": "float64",
"xtf_pu": "float64",
"sn_mva": "float64",
"in_service": "bool"
}
},
"dcline": {
"_module": "pandas.core.frame",
"_class": "DataFrame",
"_object": "{\"columns\":[\"name\",\"from_bus\",\"to_bus\",\"p_mw\",\"loss_percent\",\"loss_mw\",\"vm_from_pu\",\"vm_to_pu\",\"max_p_mw\",\"min_q_from_mvar\",\"min_q_to_mvar\",\"max_q_from_mvar\",\"max_q_to_mvar\",\"in_service\"],\"index\":[],\"data\":[]}",
"orient": "split",
"dtype": {
"name": "object",
"from_bus": "uint32",
"to_bus": "uint32",
"p_mw": "float64",
"loss_percent": "float64",
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"63 MVA 110/10 kV": {
"sn_mva": 63,
"vn_hv_kv": 110,
"vn_lv_kv": 10,
"vk_percent": 18,
"vkr_percent": 0.32,