Joint planning of renewable energy and storage considering thermostatically controlled loads aggregation regulation

doi:10.19799/j.cnki.2095-4239.2023.0054

Abstract

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

CLC Number:

TM 73

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.

Figures/Tables 14

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Table 1

Table 2

CO2 equivalent value for each energy type"

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

Table 2

Fig. 6

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Table 3

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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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