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The IUP Journal of Electrical and Electronics Engineering:
Differential Evolution-Based Algorithm for Congestion Management in a Deregulated Environment
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In a restructured electricity market environment, the competition in the production and consumption of electric energy leads to the transmission network operating at or beyond one or more transfer limits. In such a situation, the system gets congested, resulting in an increase in the cost of electricity, putting the system security as well as reliability in danger. The selection of generators to reschedule their output for effective management of congestion is a crucial task for the system operator. This paper presents a Differential Evolution (DE)-based active power flow contribution factor method for the selection and rescheduling of active power output in order to relieve congestion.

 
 
 

In a competitive electricity market, sufficient freedom is provided to the market participants to interact among themselves. Here, both the buyers and sellers try to buy and sell electric power so as to maximize their profit. In such a situation, to meet the desired transactions, power flow in the transmission network violates some of the physical limits of the transmission system. This condition is called the congestion of the transmission network. The undesirable effects of the congestion include volatility and increase of the electricity cost, jeopardizing the system security and reliability. Hence, to maintain the market efficiency, it is very important that the congestion be relieved in a fast, systematic and efficient manner.

The phenomenon of congestion is observed in both regulated and deregulated power systems. In regulated power market, since generation, transmission and distribution are managed by a single entity, congestion management is relatively simple. But, in a competitive power market, the situation is more complex.

Congestion can be relieved by using available resources like rescheduling of generators and on-load tap changers. System operators usually prefer these methods to relieve congestion. Further, congestion can also be relieved by providing information of a particular line getting congested and financial incentives to the consumers so as to adjust the load within the system constraints. In extreme situations, the transactions may be physically curtailed to relieve congestion. But the system operators keep this as the last option due to the inconvenience caused to the system users.

 
 
 

Electrical and Electronics Engineering Journal, Differential Evolution-Based Algorithm, Congestion Management, Electricity Market, Transmission Network, Transmission System, Optimization Techniques, Genetic Algorithm, Mutant Vectors, Mutation Process, System Security.