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The intermittency and volatility of distributed power generation motivate users to fully utilize the energy resources provided by DG; the adjustability of flexible loads and the controllability of energy storage units provide feasibility for energy allocation and scheduling. Based on predicting real-time electricity prices one day in advance, this article uses smart meters to achieve bidirectional information exchange between real-time electricity prices and load electricity consumption, analyzes the relationship between residential electricity load and electricity prices, establishes a load response model based on modeling optimization algorithms such as neural networks, formulates a flexible load electricity consumption period adjustment strategy with real-time electricity prices as the adjustment lever, and constructs an energy optimization scheduling mode that minimizes total electricity prices and maximizes utility through the coordination of energy storage devices, achieving the economic operation of the smart grid system.

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Optimal Energy Dispatch of User-Side Energy Provision Systems Based on Flexible Demand Management

  • 会议论文

  • 发表日期：

    2026年

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  • Li Yao,
  • Linna Ni,
  • Jiangming Zhang,
  • Feng Li,
  • Rongguo Huang,
  • Yinzhou Jin

摘要

The intermittency and volatility of distributed power generation motivate users to fully utilize the energy resources provided by DG; the adjustability of flexible loads and the controllability of energy storage units provide feasibility for energy allocation and scheduling. Based on predicting real-time electricity prices one day in advance, this article uses smart meters to achieve bidirectional information exchange between real-time electricity prices and load electricity consumption, analyzes the relationship between residential electricity load and electricity prices, establishes a load response model based on modeling optimization algorithms such as neural networks, formulates a flexible load electricity consumption period adjustment strategy with real-time electricity prices as the adjustment lever, and constructs an energy optimization scheduling mode that minimizes total electricity prices and maximizes utility through the coordination of energy storage devices, achieving the economic operation of the smart grid system.