Bidding Strategy in Deregulated Power Market Using Differential Evolution Algorithm

Abstract

The primary objective of this research article is to introduce Differential Evolution (DE) algorithm for solving bidding strategy in deregulated power market. Suppliers (GENCOs) and consumers (DISCOs) participate in the bidding process in order to maximize the profit of suppliers and benefits of the consumers. Each supplier bids strategically by choosing the bidding coefficients to counter the competitors bidding strategy. Electricity or electric power is traded through bidding in the power exchange. GENCOs sell energy to power exchange and in turn ancillary services to Independent System Operator (ISO). In this paper, Differential Evolution algorithm is proposed for solving bidding strategy problem in operation of power system under deregulated environment. An IEEE 30 bus system with six generators and two large consumers is employed to demonstrate the proposed technique. The results show the adaptability of the proposed method compared with Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Monte Carlo simulation in terms of Market Clearing Price (MCP).

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Sudhakar Angatha, V. , Chandram, K. and Laxmi, A. (2015) Bidding Strategy in Deregulated Power Market Using Differential Evolution Algorithm. Journal of Power and Energy Engineering, 3, 37-46. doi: 10.4236/jpee.2015.311004.

Conflicts of Interest

The authors declare no conflicts of interest.

References

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