In the rapidly evolving energy landscape, the integration of distributed generation into power grids is becoming increasingly common. However, this trend poses significant challenges, particularly in maintaining stable voltage levels within distribution networks. Enter Keyu Zhang, a researcher from the Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education at Shandong University in Jinan, China. Zhang’s recent work, published in the International Journal of Electrical Power & Energy Systems, offers a novel solution to this pressing issue.
Zhang’s research focuses on the cooperative optimal operation of multi-microgrids and shared energy storage systems (SESS) to regulate voltage in distribution networks. The study introduces a two-stage cooperative optimization model based on Nash bargaining theory, a concept from game theory that helps distribute resources fairly among competing parties. “The key innovation here is the use of an improved electrical distance approach that incorporates voltage regulation incentives,” Zhang explains. This approach partitions the distribution network in a way that minimizes cooperation costs for both microgrids and SESS.
The first stage of the model involves partitioning the distribution network using an improved electrical distance approach that incorporates voltage regulation incentives. This step aims to minimize the cooperation costs for microgrids and SESS. The second stage quantifies the contributions of each participant through a nonlinear energy mapping function, followed by the development of a trading price based on asymmetric bargaining informed by improved Nash bargaining. “The goal is to ensure that microgrids and SESS share cooperative benefits fairly,” Zhang elaborates.
The research employs the alternating direction method of multipliers (ADMM) to solve the optimization problems, effectively protecting the privacy of each participating entity. This method ensures that the benefits of cooperation are distributed equitably, fostering a more efficient and stable energy ecosystem.
The implications of Zhang’s work are far-reaching. As the penetration rate of distributed generation continues to rise, the ability to maintain stable voltage levels in distribution networks becomes crucial. Zhang’s approach not only addresses this challenge but also enhances the energy economy and scheduling flexibility of microgrids. This could lead to more efficient and reliable energy distribution systems, benefiting both energy providers and consumers.
The commercial impacts of this research are significant. Energy providers can leverage this cooperative optimization model to improve the stability and efficiency of their distribution networks, potentially reducing operational costs and enhancing service reliability. For consumers, this could mean more stable and reliable power supply, which is essential for both residential and industrial applications.
Zhang’s research, published in the International Journal of Electrical Power & Energy Systems, represents a significant step forward in the field of energy distribution. By integrating microgrids and SESS in a cooperative framework, Zhang’s model offers a promising solution to the voltage regulation challenges posed by distributed generation. As the energy sector continues to evolve, such innovative approaches will be crucial in shaping the future of power distribution.
