Identify the impact of distributed resources on congestion management

Due to dispersed locations and various capacities, emerging Distributed Resources (DR\´s) have diverse and highly nonlinear impact (Contribution Factor, CF) on transmission operation constraints, thereafter on congestion management in electricity markets. From the perspective of Independent System Operators (ISO\´s) and DIStribution COmpanies (DISCO\´s), it is crucial to address such impacts in order to identify the "desirable" and "undesirable" DR\´s. This paper introduces a straightforward-partitioning space, ITDA, developed by a fuzzy c-means clustering approach based on accurate CF\´s derived from AC power flow. Case studies with 6-bus and 30-bus test systems demonstrate that the proposed technique is simple and applicable.