Quantitative assessment of cost-effectiveness of load management under different subsidy standards and actual response capacities

In the electricity market, maintaining a real-time balance between supply and demand is critical to avoid operational risks and mitigate price volatility. Load management, which adjusts user behavior to balance supply and demand, is essential for enhancing the efficiency and reliability of the power system. Common strategies include price response, demand response, and direct load control, but their implementation is complex and requires careful assessment and design. Key factors influencing cost-effectiveness are subsidy standards and actual response capacity. Accurate evaluation of these factors is crucial for rational subsidy policies and optimized operations. Common evaluation methods are industrial load baseline calculation, regression analysis, and Bayesian classification. These methods estimate electricity demand, establish quantitative relationships, and forecast user responses, supporting operators in understanding user behavior and improving operational efficiency and economic benefits.