Multi-Objective Optimal Power Flow Calculation Considering Carbon Emission Intensity

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.

An Active Distribution Grid Exceedance Testing and Risk-Planning Simulation Based on Carbon Capture and Multisource Data from the Power Internet of Things

“…The (25) where P g buy (t) is the natural gas purchased at the integrated energy station in time period t; P g Load (t) is the natural gas load at the node where the integrated energy station is located in time period t; P g,max buy is the limit placed on the natural gas that can be purchased at the integrated energy station in time period t; and P g ES,g (t) is the gas energy charged to the natural gas energy storage device in the integrated energy station in time period t.…”

“…Reference [23] introduced a power-to-gas (P2G) device into an integrated energy system and used the CO 2 emitted by a gas unit in a methane synthesis reaction through carbon capture to improve the system's economic qualities. Reference [24] pointed out that active distribution network planning is relevant to the optimal power flow of distribution networks; optimal power flow research is currently focused on AC optimal power flow [25]. Developing optimal AC currents is relevant to nonlinear planning because of the nonlinear characteristics of its constraints.…”