Quick Hosting Capacity Evaluation Based on Distributed Dispatching for Smart Distribution Network Planning with Distributed Generation

被引:2
|
作者
Sun, Bing [1 ]
Jing, Ruipeng [1 ]
Ge, Leijiao [1 ]
Zeng, Yuan [1 ]
Dong, Shimeng [2 ]
Hou, Luyang [3 ]
机构
[1] Tianjin Univ, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China
[2] State Grid Corp China, Beijing, Peoples R China
[3] Beijing Univ Posts & Telecommun, Sch Comp Sci, Nat Pilot Software Engn Sch, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Smart distribution network (SDN); microgrid; hosting capacity; multi-objective optimization; distributed optimal dispatching; flexible resource; REACTIVE POWER; ENERGY; VOLTAGE;
D O I
10.35833/MPCE.2022.000604
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The smart distribution network (SDN) is integrating increasing distributed generation (DG) and energy storage (ES). Hosting capacity evaluation is important for SDN planning with DG. DG and ES are usually invested by users or a third party, and they may form friendly microgrids (MGs) and operate independently. Traditional centralized dispatching method no longer suits for hosting capacity evaluation of SDN. A quick hosting capacity evaluation method based on distributed optimal dispatching is proposed. Firstly, a multi-objective DG hosting capacity evaluation model is established, and the hosting capacity for DG is determined by the optimal DG planning schemes. The steady-state security region method is applied to speed up the solving process of the DG hosting capacity evaluation model. Then, the optimal dispatching models are established for MG and SDN respectively to realize the operating simulation. Under the distributed dispatching strategy, the dualside optimal operation of SDN-MGs can be realized by several iterations of power exchange requirement. Finally, an SDN with four MGs is conducted considering multiple flexible resources. It shows that the DG hosting capacity of SDN oversteps the sum of the maximum active power demand and the rated branch capacity. Besides, the annual DG electricity oversteps the maximum active power demand value.
引用
收藏
页码:128 / 140
页数:13
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