Multi-Objective Optimal Power Flow Calculation Considering Carbon Emission Intensity

Author:

Wang Gangfei1ORCID,Ma Hengrui123,Wang Bo23,Alharbi Abdullah M.4,Wang Hongxia35ORCID,Ma Fuqi236

Affiliation:

1. College of Energy and Electrical Engineering, Qinghai University, Xining 810016, China

2. Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network, School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, China

3. School of Electrical and Automation, Wuhan University, Wuhan 430072, China

4. Department of Electrical Engineering, College of Engineering at Wadi Addawasir, Prince Sattam bin Abdulaziz University, Wadi Addawasir 11991, Saudi Arabia

5. Department of Electrical & Computer Engineering, University of Denver, Denver, CO 80210, USA

6. School of Electrical Engineering, Xi’an University of Technology, Xi’an 710054, China

Abstract

In keeping with China’s dual carbon goals, optimal low-carbon power system dispatch has become a necessary component of the greening of the power system. However, typically, research considers only the economics of such efforts. Based on our power flow analysis of the power grid and the correlation properties of carbon emission flow, an optimal power flow calculation model targeting the total carbon emission rate of the power system’s power generation cost, active network loss, and load and network loss was constructed. Next, the NSGA-III algorithm was used to solve the model, and the decision was to coordinate and optimize the output schemes of various types of power plants, such as wind, water, and thermal. The modified IEEE39 node simulation system was built with Matlab software (MATLAB R2020b). The results of the calculation showed that, compared to the traditional method of determining the optimal power flow, the proposed method reduced the system carbon emissions by 20% while the power generation cost increased by less than 2%, which proves the effectiveness and practicability of the proposed method.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Qinghai

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

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