Abstract

In order to solve the randomness and volatility of new energy power generation, promote the local consumption of renewable energy, and maximize the economic efficiency of CCHP system, this paper combines the schedulable resources of energy production, energy storage and energy consumption into a “source storage” system, which can meet the demand of power supply, heating and cooling at the same time. The objective function is to minimize the daily operation cost of the cold heat electric hybrid energy system, and the power balance and equipment capacity of the system are constrained. Using the established mathematical model of the system framework, the particle swarm optimization algorithm is used to improve the CCHP programming model to obtain the adaptation curve and the hourly output of the optimal operation of the equipment with the maximum economic benefit. The operation and maintenance costs of the two modes are analyzed in depth. The results show that the optimization of “source storage and load” system not only improves the reliability of energy supply, but also reduces the cost of operation and maintenance and improves the economic benefits of the system.

Highlights

  • Energy is the foundation that supports the continuous development of the social economy and an important guarantee for safeguarding national strategic security

  • This paper optimizes the output of the equipment in the designed CCHP "source storage" system, effectively solving the randomness and volatility of new energy sources such as light energy, and combining the investment of energy storage equipment to maximize the utilization rate of energy to improve the economic benefits of system operation

  • Multi energy complementary CCHP system is a comprehensive and complex new energy supply system, which has the characteristics of multi energy source, multi energy flow, multi coupling and multi load

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Summary

Introduction

Energy is the foundation that supports the continuous development of the social economy and an important guarantee for safeguarding national strategic security. As the world's largest energy producer and consumer, China has been facing the problem of energy supply shortage and how to efficiently save energy and reduce emissions. This paper optimizes the output of the equipment in the designed CCHP "source storage" system, effectively solving the randomness and volatility of new energy sources such as light energy, and combining the investment of energy storage equipment to maximize the utilization rate of energy to improve the economic benefits of system operation. 2.1 Energy supply framework for multi-energy complementary combined cooling heating and power system

Economic dispatch of CCHP model combined energy storage
Objective function
Model solving algorithms
Constraints
Parameter setting
Operation and maintenance result
Output curve of each equipment
Conclusion
Full Text
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