LFC enhancement concerning large wind power integration using new optimised PID controller and RFBs
LFC enhancement concerning large wind power integration using new optimised PID controller and RFBs
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DOI：
10.1049/iet-gtd.2016.0385
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发表时间：
2016-12
影响因子：
2.5
通讯作者：
N. Kouba;M. Menaa;M. Hasni;M. Boudour
中科院分区：
文献类型：
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作者：
N. Kouba;M. Menaa;M. Hasni;M. Boudour
为了提高包含可再生能源的互联电力系统的频率稳定性，控制动作需要更加鲁棒和高效。为此，本研究提出了一种新的优化的比例积分微分（PID）控制器与氧化还原液流电池（RFBs）协调，以提高电力系统的负荷频率控制（LFC）的风力发电的大渗透。PID控制器参数获得使用最近开发的元启发式优化算法，名为灰太狼优化。为了证明所提出的控制策略的有效性，互联两个区域IEE日本东107总线30机电力系统进行了仿真研究。考虑区域1的负荷变化和区域2的大型风电场接入，得到了系统的动态响应。所提出的策略与一些著名的优化技术的性能进行了比较研究。此外，所提出的控制器的灵敏度分析也检查通过改变集成风电场的渗透范围。从仿真中得到的动态响应满足LFC的要求。此外，结果表明，频率控制的概念为基础的优化PID控制器与RFB协调将提高频率稳定性的建立时间，峰值下冲，峰值过冲。
To improve the frequency stability in an interconnected power system including renewable energy sources, the control actions need to be more robust and efficient. For this reason, this study proposes a new optimised proportional–integral–derivative (PID) controller coordinated with redox flow batteries (RFBs) for the enhancement of load frequency control (LFC) of power system concerning large penetration of wind power generation. The PID controller parameters were obtained using a recently developed meta-heuristic optimisation algorithm named Grey Wolf optimiser. To show the effectiveness of the proposed control strategy, the interconnected two-area IEE Japan East 107-bus-30-machine power system was investigated for the simulation. The system dynamic responses were obtained considering load change in area-1 and large wind farm integration in area-2. A comparative study of performance of the proposed strategy with some well-known optimisation techniques was performed. Furthermore, the sensitivity analysis of the proposed controller was also examined by varying the penetration range of the integrated wind farm. Dynamic responses obtained from the simulation satisfy the LFC requirements. In addition, the results reveal that the frequency control concept-based optimised PID controller coordinated with the RFB will enhance the frequency stability in terms of settling time, peak undershoot, and peak overshoot.