Optimal Distribution Voltage Control and Coordination With Distributed Generation

@article{citeulike:2699547, abstract = {<para> In recent years, distributed generation, as clean natural energy generation and cogeneration system of high thermal efficiency, has increased due to the problems of global warming and exhaustion of fossil fuels. Many of the distributed generations are set up in the vicinity of the customer, with the advantage that this decreases transmission losses. However, output power generated from natural energy, such as wind power, photovoltaics, etc., which is distributed generation, is influenced by meteorological conditions. Therefore, when the distributed generation increases by conventional control techniques, it is expected that the voltage change of each node becomes a problem. Proposed in this paper is the optimal control of distribution voltage with coordination of distributed installations, such as the load ratio control transformer, step voltage regulator (SVR), shunt capacitor, shunt reactor, and static var compensator. In this research, SVR is assumed to be a model with tap changing where the signal is received from a central control unit. Moreover, the communication infrastructure in the supply of a distribution system is assumed to be widespread. The genetic algorithm is used to determine the operation of this control. In order to confirm the validity of the proposed method, simulations are carried out for a distribution network model with distributed generation (photovoltaic generation). </para>}, author = {Senjyu, T. and Miyazato, Y. and Yona, A. and Urasaki, N. and Funabashi, T. }, booktitle = {Power Delivery, IEEE Transactions on}, citeulike-article-id = {2699547}, doi = {10.1109/TPWRD.2007.908816}, journal = {Power Delivery, IEEE Transactions on}, keywords = {dezentral, energiesystem, optimierung, spannungsregelung, verteilt}, number = {2}, pages = {1236--1242}, posted-at = {2008-04-22 09:42:20}, priority = {2}, title = {Optimal Distribution Voltage Control and Coordination With Distributed Generation}, url = {http://dx.doi.org/10.1109/TPWRD.2007.908816}, volume = {23}, year = {2008} }

TY - JOUR ID - citeulike:2699547 L3 - citeulike-article-id:2699547 TI - Optimal Distribution Voltage Control and Coordination With Distributed Generation T2 - Power Delivery, IEEE Transactions on JF - Power Delivery, IEEE Transactions on VL - 23 IS - 2 SP - 1236 EP - 1242 N2 - <para> In recent years, distributed generation, as clean natural energy generation and cogeneration system of high thermal efficiency, has increased due to the problems of global warming and exhaustion of fossil fuels. Many of the distributed generations are set up in the vicinity of the customer, with the advantage that this decreases transmission losses. However, output power generated from natural energy, such as wind power, photovoltaics, etc., which is distributed generation, is influenced by meteorological conditions. Therefore, when the distributed generation increases by conventional control techniques, it is expected that the voltage change of each node becomes a problem. Proposed in this paper is the optimal control of distribution voltage with coordination of distributed installations, such as the load ratio control transformer, step voltage regulator (SVR), shunt capacitor, shunt reactor, and static var compensator. In this research, SVR is assumed to be a model with tap changing where the signal is received from a central control unit. Moreover, the communication infrastructure in the supply of a distribution system is assumed to be widespread. The genetic algorithm is used to determine the operation of this control. In order to confirm the validity of the proposed method, simulations are carried out for a distribution network model with distributed generation (photovoltaic generation). </para> KW - dezentral KW - energiesystem KW - optimierung KW - spannungsregelung KW - verteilt AU - Senjyu, T AU - Miyazato, Y AU - Yona, A AU - Urasaki, N AU - Funabashi, T PY - 2008/// UR - http://dx.doi.org/10.1109/TPWRD.2007.908816 ER -