Strength Pareto Evolutionary Algorithm for the Dynamic Economic Emission Dispatch Problem incorporating Wind Farms and Energy Storage Systems

Abstract

Intermittent and stochastic characteristics of wind energy sources cause many challenges for the existing power networks. One of these challenges is the violation of the energy balance constraint due to the high penetration of wind power. The use of Energy Storage Systems (ESS) can facilitate the high penetration of wind power and mitigate the effect of its intermittency. Within this context, ESS incorporate the Dynamic Economic Emission Dispatch (DEED) problem. The problem is formulated as a multi-objective problem and the Strength Pareto Evolutionary Algorithm (SPEA) is used for its resolution. Simulations were carried out on a well-known ten-unit system and the results show the importance of using ESS in reducing the total production cost of electricity and total emissions.

Day-ahead Coordinated Operation of a Wind-Storage System Considering Wind Forecast Uncertainty

“…• Generator power limits: 6) where ܲ ீ,ି , ܲ ீ,ି௫ are the active and ܳ ீ,ି , ܳ ீ,ି௫ the reactive generating power limits.…”

“…The issue of coupling operation of wind and storage has been extensively studied with regard to operation and planning aspects [6][7][8][9][10][11][12][13]. Authors in [9] presented a dynamic programming algorithm employed to determine optimal energy exchange with the market for a specified scheduling period, taking into account transmission constraints.…”