Coordinated Optimization of Intelligent Soft Open Points and Multiple Types of Shared Energy Storage in Distribution Networks Considering Flexibility Deficiency Risk

Abstract

ObjectivesTo address the operational security issues in the new-type distribution network caused by the high-penetration integration of renewable energy, this paper proposes a coordinated optimization method for intelligent soft open points and multiple types of shared energy storage, by integrating these flexible devices while considering the risk of flexibility deficiency.MethodsFirstly, the flexible regulation mechanism of flexible resources, including intelligent soft open points and multiple types of shared energy storage, is elaborated, and a flexibility deficiency risk indicator based on conditional value at risk is constructed. Secondly, considering flexibility, safety, and economy, a coordinated optimization model for intelligent soft open points and multiple types of shared energy storage in the new-type distribution network is established. Finally, the proposed method is tested on an improved IEEE 33-bus system to verify its effectiveness.ResultsThe proposed coordinated optimization method for intelligent soft open points and multiple types of shared energy storage, considering flexibility deficiency risk, can fully cope with the volatility of renewable energy output and the randomness of load demand, effectively reduce active power loss of the new-type distribution network, and enhance its flexibility, safety, and economy.ConclusionsThe proposed flexibility optimization model provides significant practical reference value for flexible scheduling of new-type distribution systems