Optimization of State-Estimator-Based Operation Framework Including Measurement Placement for Medium Voltage Distribution Grid
To provide a guideline for grid operators to manage medium voltage distribution grids, this paper presents a probabilistic approach for measurement placement optimization and a state-estimator-based operation framework. The Monte Carlo method is used to optimize the measurement placement with minimu...
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| Veröffentlicht in: | IEEE transactions on smart grid 2014-11, Vol.5 (6), p.2929-2937 |
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| container_title | IEEE transactions on smart grid |
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| creator | Yu Xiang Ribeiro, Paulo F. Cobben, Joseph F. G. |
| description | To provide a guideline for grid operators to manage medium voltage distribution grids, this paper presents a probabilistic approach for measurement placement optimization and a state-estimator-based operation framework. The Monte Carlo method is used to optimize the measurement placement with minimum measured points, which support the observability of state estimator and satisfy the requirements for operation activities. The proposed framework covers several important factors from practical situations, including cost allocation of measurement systems, unavailability of measurement data, and small voltage deviation across medium voltage (MV) grids. Finally, a case study on a typical European distribution grid demonstrates the feasibility of the framework. |
| doi_str_mv | 10.1109/TSG.2014.2343672 |
| format | Article |
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Finally, a case study on a typical European distribution grid demonstrates the feasibility of the framework.</description><subject>Central limit theorem</subject><subject>Current measurement</subject><subject>distribution management system (DMS)</subject><subject>load estimation</subject><subject>measurement placement</subject><subject>Measurement units</subject><subject>Monte Carlo methods</subject><subject>Optimization</subject><subject>Reactive power</subject><subject>State estimation</subject><subject>Voltage measurement</subject><issn>1949-3053</issn><issn>1949-3061</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFLwzAUxosoOObugpeA586kadPmqNPNwWTCpteSpq8js21qkiJ68G83s2Pv8j7e-7734BcE1wRPCcH8brtZTCNM4mlEY8rS6CwYER7zkGJGzk86oZfBxNo99kUpZREfBb_rzqlG_QindIt0hTZOOAifrJ8Kp034ICyUaN2BGSxzIxr40uYDLVtZ96Vqd-gFhO0NNNA69FoLOahKG78pVd-gd107sQP0qKwzquj_Ly2MKq-Ci0rUFibHPg7e5k_b2XO4Wi-Ws_tVKGPGXShEzLMsYozIVMqKFkWSFrykzM8Ey0qcMcxxERUyYQBVQTgnkUxFTDmlAlI6Dm6Hu53Rnz1Yl-91b1r_MidpwhOcZCn1Ljy4pNHWGqjyzngM5jsnOD-Azj3o_AA6P4L2kZshogDgZGdZyqMspn8ELXss</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Yu Xiang</creator><creator>Ribeiro, Paulo F.</creator><creator>Cobben, Joseph F. 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| ispartof | IEEE transactions on smart grid, 2014-11, Vol.5 (6), p.2929-2937 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Central limit theorem Current measurement distribution management system (DMS) load estimation measurement placement Measurement units Monte Carlo methods Optimization Reactive power State estimation Voltage measurement |
| title | Optimization of State-Estimator-Based Operation Framework Including Measurement Placement for Medium Voltage Distribution Grid |
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