Abstract

Facing the growing problem of the curtailed wind during winter heating periods in the north of China, a flexible control method of wind power heating using the integrated energy system to consume the curtailed wind is proposed. Energy storage technology is introduced to coordinate regenerative electric boilers to match the fast fluctuation of wind power. The consuming model of the curtailed wind for the integrated energy system is established under three models through the study of the consumption mechanisms for the curtailed wind. The “wind power-energy storage system” and “wind power-regenerative electric boiler” are regarded as the game’s participants, and the maximum daily benefit of the system is regarded as the objective function, an economic evaluation model of the integrated energy system to consume the curtailed wind based on game theory is established. For comparative analysis, the model is respectively solved by particle swarm optimization (PSO) and the firefly algorithm (FA). The effectiveness of the model is verified by the actual operation data of a wind power heating demonstration project in China. The simulation results show that the most economy benefits of the overall system can be obtained by using energy storage systems to coordinate regenerative electric boilers, which provides a theoretical basis for the consumption of the curtailed wind.

Highlights

  • As an inexhaustible source of clean energy, wind energy has become the most mature, largest, and widely used renewable energy power generation technology in the world

  • Regenerative electric boilers run at constant power in the valley load periods during the night, generated during the night is sent directly to the heating company for the residents and the other part whichis is supplemented by thetank, gridwhen to ensure the safe and operation of regenerative stored in the heat storage the daytime peak loadstable occurs, the heat storage tank beginselectric to boilers when the wind farm provides insufficient power

  • Itis can be seen from thethe simulation analysis and comparison three operatingwind, models relatively low; while regenerative electric boilers are used of to the track the curtailed the that the consumption amountisofimproved; the curtailed using storage the regenerative electric boilers in the a fixed consumption amount whenwind the energy system is used to coordinate time regenerative is relativelyelectric low; while regenerative electric boilers are used to track the curtailed boilersthe to track the curtailed wind, the consumption amount is greatly improved.wind, the consumption amount is improved; when the energy storage system is used to coordinate the System the Curtailedamount

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Summary

Introduction

As an inexhaustible source of clean energy, wind energy has become the most mature, largest, and widely used renewable energy power generation technology in the world. Regenerative electric boilers run at constant power in the valley load periods during the night, generated during the night is sent directly to the heating company for the residents and the other part whichis is supplemented by thetank, gridwhen to ensure the safe and operation of regenerative stored in the heat storage the daytime peak loadstable occurs, the heat storage tank beginselectric to boilers when the wind farm provides insufficient power. Where t0 and td are the start and end of a day, respectively It can be seen from Equations (1)–(6) that the wind power heating based on regenerative electric boilers can absorb the curtailed wind to a certain extent, but can reduce the reliance on. The number the actual operating power of the regenerative electric boilers is regulated by the electrode of charging discharging dayhave n is some constrained as follows: rods, and the electrode rods amay mechanical damages during their regulation and greatly affect the service life. Reduce wind the adjusting numbers of the electrode and prolong the service the regenerative electric“load”, boilers.reduce the adjusting numbers of the electrode rods, and prolong the service life of the regenerative electric boilers

Case Study
Analysis of Game
Modeling Player Revenues
Costs of the Player
Balance Strategy
Constraints of the Model
Parameter Setting of the Model
20 Years power ofofregenerative electric
Contrast of Simulation Results
Results of of Different
Comparison Results of Different Optimization Algorithms
Conclusions
Full Text
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