Multi-Objective Optimization Dispatching Strategy for Wind-Thermal-Storage Generation System Incorporating Temporal and Spatial Distribution Control of Air Pollutant Dispersion

Abstract

Temporal and spatial distribution (TSD) model presented in our previous work of air pollutants is an effective model in describing the increment ground level concentration caused by power generation. In this paper, the newly emerging temporal and spatial characteristics of power dispatch when incorporating the TSD model are studied. Firstly, a multi-objective optimization dispatching model for wind-thermal-storage generation system is proposed. In the time dimension, the model can coordinate multiple generation sources in the face of atmospheric condition variation. In the space dimension, the correlations between power plants location, pollutant diffusion paths and atmospheric boundary layers are considered. Secondly, chance constraints are adopted to address stochastic variables, while the stochastic formulation is transformed into a deterministic one based on wind power distribution. Then a multi-objective optimization method is employed to obtain a desired Pareto front. Case studies are carried out on modified IEEE 39-bus system and Guangdong grid system under four strategies, which validate the performance of the proposed model and the effectiveness of the strategy.