Abstract
In the emerging restructured power system, the congestion management (CM) has become extremely important in order to ensure the security and reliability of the system. This paper proposes an algorithm for congestion management in a pool based electricity market based on differential evolution (DE). The aim of the proposed work is to minimize deviations from preferred transaction schedules and hence the congestion cost. Numerical results on test system namely IEEE 30 Bus System is presented for illustration purpose and the results are compared with Particle swarm optimization (PSO) in terms of solution quality. The comprehensive experimental results prove that the DE is one among the challenging optimization methods which is indeed capable of obtaining higher quality solutions for the proposed problem.
Highlights
The restructuring of the electric power industry has involved paradigm shifts in the real time control activities of the power grids
The role of an independent system operator in a competitive market environment is to facilitate the complete dispatch of the power that gets contracted among the market players
With the trend of an increasing number of bilateral contracts being signed for electricity market trades, the possibility of insufficient resources leading to network congestion may be unavoidable
Summary
The restructuring of the electric power industry has involved paradigm shifts in the real time control activities of the power grids. Managing dispatch is one of the important control activities in a power system. The role of an independent system operator in a competitive market environment is to facilitate the complete dispatch of the power that gets contracted among the market players. With the trend of an increasing number of bilateral contracts being signed for electricity market trades, the possibility of insufficient resources leading to network congestion may be unavoidable. In this scenario, congestion management becomes an important issue. Other possible means for relieving congestion are operation of phase-shifters or FACTS devices
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