考虑温控负荷聚合调控的新能源-储能联合规划

doi:10.19799/j.cnki.2095-4239.2023.0054

摘要/Abstract

摘要：

新能源合理配置储能对促进新能源消纳、实现减排脱碳具有重要意义。本工作考虑温控负荷聚合调控，围绕电网的低碳减排和承载能力提升，提出新能源-储能联合规划方法。首先，计及等效热容、等效热阻等热力参数建立温控负荷聚合模型，并进一步分析温控负荷与储能协同运行对配电网承载能力的影响。然后，将表征配网承载力的潮流分布均衡指标和表征配网碳足迹的碳排放指标作为目标函数，嵌入经济利润机会约束，构建双层规划模型，外层为选址问题，内层为定容问题。随后，对模型进行二阶锥松弛后，采用麻雀搜索算法+凸优化求解器的混合算法进行高效求解。最后，算例表明储能和温控负荷的协同运行有利于配网潮流时空均匀分布，提高了新能源渗透率并降低了系统的碳排放。

关键词: 新能源规划, 储能配置, 温控负荷聚合, 承载能力提升, 碳约束

Abstract:

Configuring energy storage with suitable capacity for renewable energy is crucial for promoting new energy consumption and achieving emission reduction and decarbonization. This paper proposes a joint planning method for renewable energy and energy storage aimed at reducing carbon emissions and improving the load-carrying capacity of the power grid, considering the aggregate control of temperature-controlled loads. First, a temperature-controlled load aggregation model was developed, considering factors such as equivalent heat capacity and equivalent thermal resistance, and other thermal parameters. The influence of the collaborative operation of temperature-controlled load and energy storage on the carrying capacity of the distribution network was further analyzed. Next, the equilibrium index of power flow distribution, representing the distribution network's bearing capacity, and the carbon emission index, representing the distribution network's carbon footprint, were used as an objective functions. The economic profit opportunity constraint is embedded to construct a two-layer programming model. The outer layer is the location problem of landscape storage, and the inner layer is the constant volume problem. After applying second-order cone relaxation, a hybrid algorithm combining the sparrow search algorithm and solver was used to solve the model efficiently. Finally, the example shows that the coordinated operation of energy storage and temperature-controlled loads contributes to a uniform spatiotemporal distribution of power flow in the distribution network. This coordination improves the permeability of renewable energy and reduces the system's carbon emissions.

Key words: renewable energy planning, energy storage configuration, thermostatically controlled load aggregation, carrying capacity enhancement, carbon constraint

中图分类号:

TM 73

张伟, 罗世刚, 滕婕, 白永利. 考虑温控负荷聚合调控的新能源-储能联合规划[J]. 储能科学与技术, 2023, 12(6): 1901-1912.

Wei ZHANG, Shigang LUO, Jie TENG, Yongli BAI. Joint planning of renewable energy and storage considering thermostatically controlled loads aggregation regulation[J]. Energy Storage Science and Technology, 2023, 12(6): 1901-1912.

图/表 14

图1

图2

图3

图4

图5

表1

表2

各电源的CO2 当量值"

电源类型	$t C O 2 e q / M W h$
风电	0.01
光伏	0.05
上级主网(假设主要电源为火电)	0.82

表2

图6

图7

图8

表3

图9

图10

图11

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类型	单位投资成本/(元/kW)	单位运维成本/(元/kW)	使用寿命 /年	可安装节点	单个节点可接入的最大容量
风电	4000	100	20	3～33	1.5 MW
光伏	3700	100	25	3～33	1.5 MW
储能	7000	220	10	3～33	1.5 MW/3 MWh

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