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The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.Tue, 06 Aug 2024 06:53:36 GMT2024-08-06T06:53:36ZCoordinated control of active distribution networks to help a transmission system in emergency situation
http://hdl.handle.net/10985/17722
Coordinated control of active distribution networks to help a transmission system in emergency situation
MORIN, J.; COLAS, Frédéric; DIEULOT, Jean-Yves; GRENARD, S.; GUILLAUD, Xavier
This paper addresses the relevance of using reactive power from Medium Voltage (MV) networks to support the voltages of a High Voltage (HV) rural network in real-time. The selection and analysis of different optimal coordination strategies between the HV and several MV grids is investigated. The algorithms will control the reactive powers that can flow between HV/MV networks after a request from the Transmission Network Operator in case of an emergency situation such as a line outage. From a case study, the relevance of the coordination is enlightened and recommendations are given on how to tune and to combine the optimal algorithms with the advanced Volt Var Controllers of the distribution grids.
Mon, 01 Jan 2018 00:00:00 GMThttp://hdl.handle.net/10985/177222018-01-01T00:00:00ZMORIN, J.COLAS, FrédéricDIEULOT, Jean-YvesGRENARD, S.GUILLAUD, XavierThis paper addresses the relevance of using reactive power from Medium Voltage (MV) networks to support the voltages of a High Voltage (HV) rural network in real-time. The selection and analysis of different optimal coordination strategies between the HV and several MV grids is investigated. The algorithms will control the reactive powers that can flow between HV/MV networks after a request from the Transmission Network Operator in case of an emergency situation such as a line outage. From a case study, the relevance of the coordination is enlightened and recommendations are given on how to tune and to combine the optimal algorithms with the advanced Volt Var Controllers of the distribution grids.Embedding OLTC nonlinearities in predictive Volt Var Control for active distribution networks
http://hdl.handle.net/10985/17730
Embedding OLTC nonlinearities in predictive Volt Var Control for active distribution networks
MORIN, J.; COLAS, Frédéric; DIEULOT, Jean-Yves; GRENARD, S.; GUILLAUD, Xavier
Volatile productions and consumptions generate a stochastic behavior of distribution grids and make its supervision difficult to achieve. Usually, the Distributed Generators reactive powers are adjusted to perform decentralized voltage control. Industrial controllers are generally equipped with a local affine feedback law, which settings are tuned at early stage using local data. A centralized and more efficient tuning method should aim to maximize the probability that all the node voltages of distribution grids remain within prescribed bounds. When the characteristics of the stochastic power forecasts are known, the centralized algorithm allows to update the settings on a regular time basis. However, the method requires to solve stochastic optimization problem. Assuming that stochastic variables have Gaussian distributions, a procedure is given which guarantees the convergence of the stochastic optimization. Convex problems drastically reduce the difficulty and the computational time required to reach the global minimum, compared to nonconvex optimal power flow problems. The linear controllers with optimized parameters are compared to traditional control laws using simulations of a real distribution grid model. The results show that the algorithm is reliable and moreover fast enough. Hence, the proposed method can be used to update periodically the control parameters.
Sun, 01 Jan 2017 00:00:00 GMThttp://hdl.handle.net/10985/177302017-01-01T00:00:00ZMORIN, J.COLAS, FrédéricDIEULOT, Jean-YvesGRENARD, S.GUILLAUD, XavierVolatile productions and consumptions generate a stochastic behavior of distribution grids and make its supervision difficult to achieve. Usually, the Distributed Generators reactive powers are adjusted to perform decentralized voltage control. Industrial controllers are generally equipped with a local affine feedback law, which settings are tuned at early stage using local data. A centralized and more efficient tuning method should aim to maximize the probability that all the node voltages of distribution grids remain within prescribed bounds. When the characteristics of the stochastic power forecasts are known, the centralized algorithm allows to update the settings on a regular time basis. However, the method requires to solve stochastic optimization problem. Assuming that stochastic variables have Gaussian distributions, a procedure is given which guarantees the convergence of the stochastic optimization. Convex problems drastically reduce the difficulty and the computational time required to reach the global minimum, compared to nonconvex optimal power flow problems. The linear controllers with optimized parameters are compared to traditional control laws using simulations of a real distribution grid model. The results show that the algorithm is reliable and moreover fast enough. Hence, the proposed method can be used to update periodically the control parameters.