Multi-Objective Low-Carbon Economic Dispatch Considering Demand Response with Wind Power Integrated Systems

2Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

The generation cost, carbon emissions and customers' satisfaction are considered in this paper. On the basis of this, the multi-objective and low-carbon economic dispatch model with wind farm, this considers demand response, is established. The model user stochastic programming theory to describe the uncertainty of the wind power and converts it into an equivalent deterministic model by using distribution function of wind power output, optimizes demand side resources to adjust the next day load curve and to improve load rate and absorptive capacity of wind power, introduce customers' satisfaction to ensure that the scheduling scheme satisfies customer and integrate the resources of source and load to unify coordination wind farm access to network and to meet the requirements of energy saving and emission reduction. The search process of artificial fish school algorithm introducing Tabu search and more targeted search mechanism, an multi-objective improved artificial fish school algorithm is proposed to solve this model. Using the technique for order preference by similarity to ideal solution (TOPSIS) to sort the Pareto frontier, the optimal scheduling scheme is determined. Simulation results verify the rationality and validity of the proposed model and algorithm.

Cite

CITATION STYLE

APA

Liu, W., Song, Y., Zhang, J., Liu, Y., & Meng, T. (2017). Multi-Objective Low-Carbon Economic Dispatch Considering Demand Response with Wind Power Integrated Systems. In MATEC Web of Conferences (Vol. 95). EDP Sciences. https://doi.org/10.1051/matecconf/20179515004

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free