Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive
Optimal Operation Method for Distribution Systems Considering Distributed Generators Imparted with Reactive Power Incentive
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DOI：
10.3390/app8081411
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发表时间：
2018-08
期刊：
影响因子：
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通讯作者：
Ryuto Shigenobu;M. Kinjo;P. Mandal;A. M. Howlader;T. Senjyu
中科院分区：
文献类型：
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作者：
Ryuto Shigenobu;M. Kinjo;P. Mandal;A. M. Howlader;T. Senjyu
为了解决紧迫的能源和环境问题，利用可再生能源(RESS)和环境友好型存储技术进行分布式发电的高度安装是至关重要的。然而，RESS的高渗透率往往会导致常规电力系统的不可靠、不稳定和电能质量下降。因此，本文提出了一种基于需求响应(DR)方案的无功控制方法，以实现安全、可靠、稳定的电力系统。该计划不强制改变客户的有功功率使用，但向参与配电公司(DISCO)合作控制的客户提供无功激励。客户可以通过获得无功激励来减少总的能源购买，而迪斯科舞厅可以减少设备的总采购和配电损耗。本文采用粒子群优化算法(PSO)计算最优控制方案，并采用了一种改进的双重调度方法，避免了系统的过度控制。通过数值仿真验证了该方法的有效性。然后，通过案例对仿真结果进行了分析。
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.