Congestion Management in Power System—A Review

Riyaz, Shaik; Upputuri, Ramanaiah; Kumar, Niranjan

doi:10.1007/978-981-15-7994-3_39

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…It is also considered as a crucial problem that cannot be ignored because it will affect the power system stability and violate the system operation constraints such as the limit value of line power flows and voltage. In competitive electricity market, it would cause price fluctuations, prohibit new contracts from coming into effect and could result in uncertainty and insecurity in the operation of the power system [2]. Therefore, it is not possible to accept the congestion in a transmission system, whether in-vertically integrated or unbundled electrical systems, even momentarily, as this can cause cascade failures with uncontrolled loss of load.…”

Section: Introductionmentioning

confidence: 99%

Modelling Demand Response to Alleviate Congestion in Active Power Market

2021

IJATCSE

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A new method of congestion management in deregulated and competitive power system based on a combination of Demand Response (DR) program and generation re-dispatch is proposed in this research. One of DR program called Emergency Demand Response Program (EDRP) is carried out through customer's willingness to participate in this program in order to reduce their consumption during congestion. EDRP is modeled based on demand elasticity of the load and considering incentives. Different level of demand elasticity values is introduced to the customers to observe their contribution in congestion relief. The proposed method is examined on IEEE 30 bus system by using the Optimal Power Flow tool and it indicates that by integrating the customer’s elasticity for EDRP can decrease the cost to relieve the congestion and lead more benefit for all participants. The obtained results are the cost to manage congestion problem and optimal re-dispatch of generators by involving the participation of customers in EDRP.

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Section: Introductionmentioning

confidence: 99%