Optimal scheduling of an integrated wind/solar/gas cogeneration energy system with phase change energy storage

doi:10.19799/j.cnki.2095-4239.2022.0515

Abstract

Abstract:

With the increasing proportion of wind power and photovoltaic power grids, the problem of wind and solar abandonment caused by an insufficient peak shaving capacity of cogeneration units becomes more evident during the hot weather. Phase change energy storage technology positively improves the flexibility and robustness of the integrated energy system. Therefore, this study establishes a comprehensive energy system model of wind/solar/gas cogeneration based on the phase change energy storage system (PCESS) with a heat pump. In this model, the least amount of wind and solar abandonment and the lowest total operating cost are optimization objectives, while the thermoelectric power balance, the output of each system's energy module, and the capacity status of energy storage equipment are constraints. Then, a dual fitness particleswarm optimization algorithm based on elite reverse learning is proposed. The elite reverse learning strategy enhances the algorithm's performance in finding solutions. The dual fitness algorithm solves the problem that the penalty function factor is difficult to obtain. Through case calculation, the improved optimization algorithm has a stronger global optimization ability and a faster calculation speed. According to the calculations, adding PCESS can effectively improve the system's wind power and photovoltaic energy utilization efficiency. The system's wind/solar output decreases from 722.1 kWh/d without PCESS to 163.4 kWh/d (a 77.4% decrease). PCESS improves the operation stability of cogeneration units in the system and reduces natural gas consumption. The system's operating cost decreases from 2488.5 to 2389.5 CNY/d, bringing remarkable economic benefits.

Key words: cogeneration, abandoning wind and solar, phase change energy-storage system, modified particle swarm, scheduling optimization

CLC Number:

TM 715

Jian HU, Yujie REN, Jinkui DU, Yuan LIU, Dan LIU. Optimal scheduling of an integrated wind/solar/gas cogeneration energy system with phase change energy storage[J]. Energy Storage Science and Technology, 2023, 12(3): 968-975.

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设备	参数	数值
CHP	最大发电功率/kW	300
	最小发电功率/kW	100
	最大热电比	2
	效率	0.35
PCESS	热泵电功率/kW	20
	热泵供热功率/kW	50
	热泵电热转换系数	2.5
	热泵运维系数/(元/kWh)	0.02
	相变材料蓄热供热功率/kW	50
	相变材料热容量/kW	150
	相变材料储热效率	95%
储能电池	充放电功率/kW	100
	储能容量/kWh	300
	充放电效率	90%
	充放电深度	0.1～0.9
	运维系数/(元/kWh)	0.05

项目	方案一	方案二
弃风/光量/kWh	722.1	163.4
CHP电出力/kWh	3059.1	2787
CHP热出力/kWh	6074.1	5338
系统运行成本/(元/天)	2488.5	2389.5