Open AccessModelling and solutions of coordinated economic dispatch with wind–hydro–thermal complex power source structure
Author(s) -
Shi LiBao,
Wang Ren,
Yao LiangZhong
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2016.0429
Subject(s) - economic dispatch , wind power , mathematical optimization , thermal power station , particle swarm optimization , computer science , electric power system , probabilistic logic , power (physics) , control theory (sociology) , engineering , mathematics , physics , quantum mechanics , artificial intelligence , electrical engineering , waste management , control (management)
This study presents an efficient optimisation strategy for solving coordinated economic dispatch problem with wind–hydro–thermal complex power source structure. The wind–hydro–thermal coordinated dispatch aims to minimise the total fuel costs of coal‐fired thermal power units while satisfying all kinds of operating constraints. To better handle the random variables in the constraints introduced by wind power and load demand during analysis, a probabilistic analytical model is employed to describe the uncertainty of wind farm power output first; moreover, then an improved convolution method is applied to calculate the total stochastic power consisting of load demand and power output of wind farm. The two‐stage stochastic linear programming method and stochastic chance constraints are employed to further form a new deterministic objective function with penalty items taken into account. An enhanced particle swarm optimisation method is applied in the solution of the proposed model. Finally, the simulations are performed on a 6‐bus test system and a real‐sized China power grid test system to investigate the effectiveness and validity of the proposed optimisation strategy.