首页|An improved IGDT approach for distributed generation hosting capacity evaluation in multi-feeders distribution system with soft open points

An improved IGDT approach for distributed generation hosting capacity evaluation in multi-feeders distribution system with soft open points

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Unknown integrated locations caused by unpredictable consumers' willingness and uncertainty in outputs induced by variable natural conditions are acknowledged challenges in the evaluation process of distributed generation (DG) hosting capacity (DGHC). For the former factor, this paper first proposes a novel assessment model to obtain the maximum feasible capacity no matter consumers in which locations have the possibility to stall DG. The decision variables of max operator and min operator are DG capacities and integrated locations respectively. Notably, unlike the previous works for one radial feeder, the interplay of DGHC in multi-feeders interconnected by tie lines and soft open points is also taken into consideration. After that, to combine uncertainties in integrated locations and outputs simultaneously, the above DGHC assessment model is further transformed into an improved information gap decision theory (IGDT) model with worst-case constraints for DG integrated locations. The specific solution procedure is also developed to solve this nonlinear IGDT model effectively. Case studies demonstrate that the evaluation results of DGHC based on this method always have the applicability and feasibility for any nodes in distribution system.

DG hosting capacityimproved IGDT model

Junkai Li、Shaoyun Ge、Hong Liu、Tingyu Hou、Pengxiang Wang、Pengxiang Xing

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Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Nankai District, Tianjin 300072, China

Power China Henan Electric Power Engineering Co. Ltd., Zhengzhou 450007, China

The State Grid Henan Electric Power Company, Zhengzhou 450003, China

2023

International journal of electrical power and energy systems

International journal of electrical power and energy systems

EI
ISSN:0142-0615
年,卷(期):2023.154(Dec.)
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