Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive

被引:5
作者
Shigenobu, Ryuto [1 ]
Kinjo, Mitsunaga [1 ]
Mandal, Aras [2 ]
Howlader, Abdul Motin [3 ]
Senjyu, Tomonobu [1 ]
机构
[1] Univ Ryukyus, Fac Engn, 1 Senbaru, Nakagami, Okinawa 9030213, Japan
[2] Univ Texas El Paso, Dept Elect & Comp Engn, Power & Renewable Energy Syst PRES Lab, El Paso, TX 79968 USA
[3] Univ Hawaii Manoa, Hawaii Nat Energy Inst, 1860 East West Rasd, Honolulu, HI 96822 USA
来源
APPLIED SCIENCES-BASEL | 2018年 / 8卷 / 08期
关键词
reactive power incentive; BESS; reactive power control; PSO; dual scheduling; renewable energy sources; distributed generator; distribution system; ENERGY MANAGEMENT-SYSTEM; DEMAND RESPONSE; ELECTRICITY MARKETS; VOLTAGE CONTROL; OPTIMIZATION; RESOURCES; STRATEGY; PENETRATION; MICROGRIDS; ALGORITHM;
D O I
10.3390/app8081411
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In order to solve urgent energy and environmental problems, it is essential to carry out high installation of distributed generation using renewable energy sources (RESs) and environmentally-friendly storage technologies. However, a high penetration of RESs usually leads to a conventional power system unreliability, instability and low power quality. Therefore, this paper proposes a reactive power control method based on the demand response (DR) program to achieve a safe, reliable and stable power system. This program does not enforce a change in the active power usage of the customer, but provides a reactive power incentive to customers who participate in the cooperative control of the distribution company (DisCo). Customers can achieve a reduction in their total energy purchase by gaining a reactive power incentive, whilst the DisCo can achieve a reduction of its total procurement of equipment and distribution losses. An optimal control schedule is calculated using the particle swarm optimization (PSO) method, and also in order to avoid over-control, a modified scheduling method that is a dual scheduling method has been adopted in this paper. The effectiveness of the proposed method was verified by numerical simulation. Then, simulation results have been analyzed by case studies.
引用
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页数:23
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