JOURNAL ARTICLE

Low-Carbon Optimal Scheduling Considering Source-Load Carbon Emission Constraint

Abstract

To deal with the change of global warming, the theory of carbon emission flow and demand response(DR) resource are introduced into the low-carbon optimal dispatch for the power grid system. First, this paper uses carbon emission flow(CEF) theory to calculate the carbon indicators, aims to select high-carbon units for carbon capture modification and to formulate carbon emission constraints at the source and load side. Second, with the marginal carbon intensity based on the marginal electricity price system calculated, and a price-based demand response model is established to analyze its emission reduction incentives. At the same time, the low-carbon optimal scheduling model considered the constraints of carbon emission of sourceload side. Finally, use Gurobi solver to simulate the IEEE-30 power system to test the effectiveness of the method.

Keywords:
Greenhouse gas Carbon fibers Computer science Electricity Mathematical optimization Demand response Load management Constraint (computer-aided design) Environmental science Engineering Algorithm Mathematics Electrical engineering

Metrics

1
Cited By
0.17
FWCI (Field Weighted Citation Impact)
2
Refs
0.43
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Electric Power System Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Integrated Energy Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Load and Power Forecasting
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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