Abstract

A real-time error correction operation model for an integrated energy system is proposed in this paper, based on the analysis of the real-time optimized operation structure of an integrated energy system and the characteristics of the system. The model makes real-time corrections to the day-ahead operation strategy of the integrated energy system, to offset forecast errors from the renewable power generation system and multi-energy load system. When unbalanced power occurs in the system due to prediction errors, the model comprehensively considers the total capacity of each energy supply and energy storage equipment, adjustable margin, power climbing speed and adjustment cost, to formulate the droop rate which determines the unbalanced power that each device will undertake at the next time interval, while taking the day-ahead dispatching goals of the system into consideration. The case study shows that the dispatching strategy obtained by the real-time error correction operation model makes the power output change trend of the energy supply equipment consistent with the day-ahead dispatching plan at the next time interval, which ensures the safety, stability and economy of the real-time operation of the integrated energy system.

Highlights

  • Integrated energy system includes four energy forms: cold, heat, electricity and gas, which contains various types of energy supply equipment with non-linear partial load characteristics and various types of loads [1,2]

  • Cold energy storage equipment shifts peaks and fills valleys in the global situation, according to the results of rolling optimization to reduce operating costs, on the other hand, it absorbs part of the unbalanced power according to real-time adjustment requirements, and does not perform maximum power output due to load fluctuations at a certain moment, and retains the adjustment capacity, which ensures that the system takes into account the economics of day-ahead dispatching strategy when it operates in real time

  • This paper studies the real-time optimized operation and dispatching of the integrated energy system

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Summary

Introduction

Integrated energy system includes four energy forms: cold, heat, electricity and gas, which contains various types of energy supply equipment with non-linear partial load characteristics and various types of loads [1,2]. The following thermal and electrical load dispatching mode are simple and convenient for real-time load tracking, due to the oversimplification of the dispatching model, there is a problem of insufficient energy supply economy [17,18,19] Another major operating mode of the integrated energy system is economically optimized operation dispatching. Regarding how to improve the day-ahead dispatching plan of the integrated energy system to ensure the real-time operation of the system, there have been some studies on model predictive control (MPC), based on the uncertainty of forecasting. For the real-time optimal operation and scheduling of integrated energy systems, research is currently focused on two simplified scheduling methods, namely the following thermal load dispatching strategy and following electrical load dispatching strategy, and how to reduce the errors in the optimal dispatch prediction process. A real-time error correction operation model for the integrated energy system is proposed and the model makes real-time corrections to the day-ahead operation strategy of the integrated energy system, to offset forecast errors from the renewable power generation system and multi-energy load system, which ensures the safety, stability and economy of the real-time operation of the integrated energy system

Real-Time Optimized Operation Structure of the Integrated Energy System
Real-Time Error Correction Operation Model for Integrated Energy System
Determination of Energy Supply Increment
Real-Time Maximum Adjustable Power Output Constraint
Verification and Updating the Real-Time Energy Supply Adjustment Power
Real-Time Operation Error Correction Process
Case Scenario and Parameters Settings
Real-Time Balance of Various Loads in the System
Operating Status of Energy Storage Devices in the System
Findings
Conclusions
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