Optimal dispatch strategy analysis of fire extinguishing equipment for electric grid wildfire based on dynamic game

Abstract

Summary It is a serious threat to the safety of bulk electric grid that wildfire disaster is likely to occur within a wide range when in high‐incidence seasons. An effective solution is to use fire extinguishing equipment to extinguish wildfire. However, fire extinguishing equipment is usually insufficient for wide range wildfire. This paper aims to analyze the optimal dispatch strategy of fire extinguishing equipment for electric grid wildfire. The interaction between wildfire and electric grid is modeled as a dynamic game, in which wildfire and electric grid are regarded as two players. Wildfire aims at maximizing electric grid's loss, whereas electric gird's goal is to minimize the loss. Multilevel programming model is built while using backward induction to solve the dynamic game. The optimal emergency dispatch strategy of fire extinguishing equipment is obtained. Thus, electric grid's risk can be minimized using the optimal emergency dispatch strategy. The effectiveness and validity of the proposed framework and method are demonstrated by application examples.

Resilience to storm conditions of power systems with large dependencies on offshore wind

“…The IEEE39-bus system, also known as the New England power grid, is located in the North-Eastern US and shown in figure 1 (a). The same power system was studied by Jian et al (2020) to obtain the optimal dispatch strategy if the grid was affected by wildfires [15]. The model consists of 39 buses interconnected with transmission lines.…”

“…In the context of power systems, Panteli and Mancarella (2015) described it as the ability to "anticipate extraordinary and high-impact, low-probability events, rapidly recover from these disruptive events, and absorbing lessons for adapting its operation and structure for preventing or mitigating the impact of similar events in the future" [20]. Using dynamic game methodology, minimal load loss was used to optimize strategies to reduce the impact of wildfires on the New England 39-bus grid in [15].…”