Optimal Distribution Voltage Control and Coordination With Distributed Generation

• Published in: IEEE transactions on power delivery 2008-04, Vol.23 (2), p.1236-1242
• Main Authors: Senjyu, T., Miyazato, Y., Yona, A., Urasaki, N., Funabashi, T.
• Format: Article
• Language: English
• Subjects: Applied sciences; Centralized control; Cogeneration; Combined power plants and total energy systems; Communication system control; Communication systems; coordinated control; Direct energy conversion and energy accumulation; Distributed control; Distributed power generation; distribution system; Electric potential; Electric power plants; Electric utilities; Electrical engineering. Electrical power engineering; Electrical machines; Electrical power engineering; Energy; Energy distribution; Exact sciences and technology; genetic algorithm (GA); Genetic algorithms; Global warming; Miscellaneous; Natural energy; Non classical power plants; Optimal control; Photovoltaic cells; Power generation; Regulation and control; Shunt (electrical); Shunt capacitors; Solar cells; Studies; Voltage; Voltage control; voltage/reactive power control; Wind energy
• ISSN: 0885-8977; 1937-4208
• DOI: 10.1109/TPWRD.2007.908816

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).