E3S Web Conf.
Volume 257, 20215th International Workshop on Advances in Energy Science and Environment Engineering (AESEE 2021)
|Number of page(s)||5|
|Section||Research on Energy Consumption and Energy Industry Benefit|
|Published online||12 May 2021|
Research on Optimal Design and Control Method of Integrated Energy System Based on Improved Cloud Adaptive Particle Swarm
Shenyang Institute of engineering, Shenyang 110136, China
2 State Grid Liaoning Electric Power Supply Co.LTD, Electric Power Research Insitute, Shenyang 110006, China
3 State Grid Liaoning Electric Power Company Limited Economic Research Institute, Shenyang, 110065, China
* Corresponding author: email@example.com
In order to rationally design the capacity of each energy coupling unit of the integrated energy system, effectively coordinate and optimize the control of the integrated energy system equipment. This paper proposes an improved cloud adaptive particle swarm algorithm design control method. First, three busbars and multi-energy coupling equipment models based on electric, thermal, and gas loads are established, and then the model has better global optimization capabilities and defenses. Then, an improved cloud adaptive particle swarm algorithm with better global optimization capabilities and anti-premature convergence characteristics is used to optimize the annual economic optimization model established to meet the power balance constraints of each bus and energy coupling equipment. Finally, under the conditions of output constraints and system energy purchase constraints, taking a typical park as an example, the simulation verifies the effectiveness of the method proposed in this paper in the optimization design and control operation of the integrated energy system.
© The Authors, published by EDP Sciences, 2021
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