Capacity optimization configuration and multi-dimensional value evaluation of integrated energy system with...

Area of Science:

• Energy Systems Engineering
• Renewable Energy Integration
• Optimization Algorithms

Background:

• Integrated energy systems require efficient resource allocation and clean energy utilization.
• Existing power-to-hydrogen (P2H) equipment evaluation lacks a comprehensive system.
• Optimizing P2H configuration is crucial for maximizing benefits in energy systems.

Purpose of the Study:

• To develop a multi-dimensional value evaluation system for P2H equipment configuration.
• To establish a mathematical model for maximizing comprehensive benefits of P2H.
• To identify the optimal P2H capacity configuration for integrated energy systems.

Main Methods:

• A mathematical model was formulated considering flexibility, new energy consumption, economic, and environmental benefits.
• An improved backbone particle swarm optimization (IBBPSO) algorithm was employed to solve the model.
• An analytic hierarchy process (AHP)-entropy weight method was used to construct the multi-dimensional evaluation system.

Main Results:

• The IBBPSO algorithm demonstrated superior performance in solving the optimization model compared to PSO, GWO, and WOA.
• The proposed evaluation system enabled thorough analysis of P2H equipment with varying capacities.
• The optimal P2H equipment configuration for maximizing comprehensive benefits was determined to be 50 MW.

Conclusions:

• The developed multi-dimensional value evaluation system effectively assesses P2H equipment configuration in integrated energy systems.
• The IBBPSO algorithm provides an efficient method for optimizing P2H integration.
• A 50 MW P2H configuration is identified as optimal for enhancing energy utilization and achieving economic and environmental benefits.