Multi-Step Clustering and Generalized Nash Bargaining-Based Planning Strategy of Community-Shared Energy Storage for Large-Scale Prosumers

Abstract

Inspired by economies of scale, the joint planning of community-shared energy storage (CSES) among prosumers provides a new solution to the issues of high investment costs associated with independent construction of individual energy storage. However, the cooperation among large-scale prosumers is rarely investigated and there is an urgent need to formulate an appropriate strategy. Hence, a multi-step clustering and generalized Nash bargaining (GNB)-based CSES joint planning strategy for large-scale prosumers is proposed. First, a CSES planning-oriented multi-step clustering algorithm based on nonparametric kernel density estimation (NPKDE) and a modified fuzzy C-means (FCM) algorithm is proposed to reduce the input data dimensionality of the planning model. Then, taking the optimal construction time sequence into consideration, a bi-level CSES joint planning model is established to minimize the total costs of prosumers. On this basis, a contribution rate index is designed to evaluate prosumers' bargaining power, and a GNB-based allocation strategy is formulated for realizing fair cost allocation. Finally, case studies show that the proposed strategy can help large-scale prosumers effectively deal with the joint CSES planning problem and achieve lower investment and operation costs. It also demonstrates that the proposed cost allocation approach is more efficient and practical than other cooperative game-based methods.