TY - JOUR
T1 - Risk hedging strategies for electricity retailers using insurance and strangle weather derivatives
AU - Lai, Shuying
AU - Qiu, Jing
AU - Tao, Yuechuan
AU - Liu, Yinyan
PY - 2022/1
Y1 - 2022/1
N2 - With the increase of extreme weather events and the penetration of distributed energy resources, electricity retailers will encounter more risks at both transmission and distribution levels during the business operation process. For risks at the transmission level, huge damages to the transmission lines and towers caused by extreme events, like bushfires, ice storms, and flooding, will lead to power shortage. For risks at the distribution level, demand variations in accordance with temperature change will result in energy procurement difficulty for the retailers. In this paper, besides the normal bilateral contract, the insurance, the strangle weather derivatives, and the energy storage system are implemented to hedge the risks at both the transmission and distribution levels. Simulation results show that the proposed model ensures higher profits for the retailers in summer and winter compared to the conventional model when there are no extreme events occurring. When there are extreme events in both summer and winter, the proposed model incurs lower reduction of profits than that of the conventional model. In brief, the overall profits of the retailer using the proposed hedging model are higher than the convention model, and the overall profit variation of the conventional model is about 26% higher than the proposed model. Furthermore, when the budget of the retailer is sufficient, all three hedging tools can be invested. Whereas when the budget of the retailer is limited, the investment order should be insurance the first, strangle weather derivatives the second, and energy storage system the third. © 2021 Elsevier Ltd. All rights reserved.
AB - With the increase of extreme weather events and the penetration of distributed energy resources, electricity retailers will encounter more risks at both transmission and distribution levels during the business operation process. For risks at the transmission level, huge damages to the transmission lines and towers caused by extreme events, like bushfires, ice storms, and flooding, will lead to power shortage. For risks at the distribution level, demand variations in accordance with temperature change will result in energy procurement difficulty for the retailers. In this paper, besides the normal bilateral contract, the insurance, the strangle weather derivatives, and the energy storage system are implemented to hedge the risks at both the transmission and distribution levels. Simulation results show that the proposed model ensures higher profits for the retailers in summer and winter compared to the conventional model when there are no extreme events occurring. When there are extreme events in both summer and winter, the proposed model incurs lower reduction of profits than that of the conventional model. In brief, the overall profits of the retailer using the proposed hedging model are higher than the convention model, and the overall profit variation of the conventional model is about 26% higher than the proposed model. Furthermore, when the budget of the retailer is sufficient, all three hedging tools can be invested. Whereas when the budget of the retailer is limited, the investment order should be insurance the first, strangle weather derivatives the second, and energy storage system the third. © 2021 Elsevier Ltd. All rights reserved.
KW - Adjusted risk valuation method
KW - Electricity markets
KW - Energy storage system
KW - Risk management
KW - Strangle weather derivatives
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U2 - 10.1016/j.ijepes.2021.107372
DO - 10.1016/j.ijepes.2021.107372
M3 - RGC 21 - Publication in refereed journal
SN - 0142-0615
VL - 134
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 107372
ER -