Coordinated planning of distributed generation and soft open points in active distribution network based on complete information dynamic game. (June 2022)

• Record Type: Journal Article
• Authors: He, Ye; Wu, Hongbin; Bi, Rui; Qiu, Rujia; Ding, Ming; Sun, Ming; Xu, Bin; Sun, Ling
• Is Part Of: International journal of electrical power & energy systems. Volume 138(2022)
• Publication Date: 2022-06
• Subjects: Distribution generation -- Soft open points (SOPs) -- Active distribution network -- Distribution network coordination planning -- Dynamic game; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2021.107953
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: A bi-level coordinated planning model of DG and SOPs for ADN is proposed. The planning stage is constructed to consider the dynamic game behavior of stakeholders in ADN. The optimization stage is constructed to optimize the operation of ADN through SOPs. The hybrid algorithm is proposed to decouple integer variables from continuous variables. This contribution paves the way for improving the system regulation ability and the penetration of DG. Abstract: Currently, the lack of regulation ability in distribution systems causes severe limitations in the wide grid connection of high-penetration renewable distributed generation (DG). By improving the access of SOPs, it will considerably improve the economy, flexibility, and controllability of distribution system operation. A bi-level coordinated planning model of DG and soft open points (SOPs) in an active distribution network is proposed based on a complete information dynamic game to coordinate the interests and demands of DG investors, distribution companies, and electricity consumers, and flexibly adjust the power between feeders. The model's planning stage determines the sequential decision relationship from the perspective of improving the consumption of DG and providing economic value. It analyzes the dynamic game behavior and builds the planning model to determine the optimal installation sites and capacities of DG and SOPs for different stakeholders. At the optimization stage, the operation model of the distribution network is established to reduce the network loss and voltage deviation and balance the feeder load. A hybrid optimization method is used to solve the operation-planning model using the iterative search method and mixed-integer second-order cone programming. Furthermore, numerous simulations and comparisons are carried out on IEEE 33-node system, and the results show that the proposed method can not only meet the balance of interests of different stakeholders, improve the feasibility and economy of planning schemes, but also comprehensively improve the operation state of distribution system.