Distribution locational pricing mechanisms for flexible interconnected distribution system with variable renewable energy generation. (1st April 2023)

• Record Type: Journal Article
• Authors: Li, Junkai; Ge, Shaoyun; Liu, Hong; Zhang, Shida; Wang, Chengshan; Wang, Pengxiang
• Is Part Of: Applied energy. Volume 335(2023)
• Publication Date: 2023-04-01
• Subjects: Flexible interconnected distribution system -- Carbon-oriented distributionally robust economic dispatch -- DLMP -- EDLMP; Power (Mechanics) -- Periodicals; Energy conservation -- Periodicals; Energy conversion -- Periodicals; 621.042
• DOI: 10.1016/j.apenergy.2022.120476
• Languages: English
• ISSNs: 0306-2619

Abstract

Highlights: Wasserstein ambiguity sets are utilized to depict the uncertain locational marginal price and nodal carbon intensity from the main grid and variable renewables in the distribution network. A carbon-oriented Wasserstein distributionally robust scheduling model is proposed for the flexible interconnected distribution system with different price and carbon signals from the main grid. Calculation and decomposition methods of DLMPs are presented for the flexible interconnected distribution system to measure the marginal cost of energy consumption in different nodes. A novel equivalent DLMP (EDLMP) mechanism is also developed for the flexible interconnected distribution system to measure the actual cost of energy consuming in different nodes. Abstract: Nowadays, distribution locational pricing mechanism has been widely used in the radial distribution network to guide the energy consumption and promote the renewables utilization. Aiming to explore the reasonable pricing policy which is applicable to the merging flexible interconnected distribution system (FIDS), this paper develops two different distribution locational pricing mechanisms for distribution lines interconnected by soft open points (SOPs). First, based on the Wasserstein ambiguity sets for uncertainties from the main grid and distribution network, a carbon-oriented distributionally robust economic dispatch model is constructed for FIDS considering different price and carbon signals from the main grid. Then, by leveraging the optimal scheme from economic scheduling model, distribution locational marginal prices (DLMPs) and equivalent DLMPs (EDLMPs) are presented to measure the marginal cost and actual cost for energy consumption in the FIDS respectively. The calculation and decomposition methods of these price signals are also developed. In case studies, a practical 63-node FIDS is chosen to verify the effectiveness of the proposed methods. Numerical results illustrate the characteristics of DLMPs and EDLMPs in FIDS under multiple uncertainties. Comparing to DLMPs, EDLMPs are more appropriate to FIDS because this pricing mechanism can reflect the lower generation cost of renewables for each consumer.