4.7 Article

Transactive Energy Supported Economic Operation for Multi-Energy Complementary Microgrids

期刊

IEEE TRANSACTIONS ON SMART GRID
卷 12, 期 1, 页码 4-17

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSG.2020.3009670

关键词

Water heating; Resistance heating; Heat pumps; Optimization; Microgrids; Economics; Cooling; Alternating direction method of multipliers (ADMM); energy sharing; integrate demand response (IDR); multi-energy complementary microgrids (MECMs); transactive energy (TE)

资金

  1. National Natural Science Foundation of China [51877078]
  2. Beijing Natural Science Foundation, China [3182037]
  3. Young Elite Scientists Sponsorship Program of CSEE [CSEE-YESS-2018020, TSG-01107-2019]

向作者/读者索取更多资源

This study develops an energy sharing strategy supported by the TE mechanism to coordinate interconnected MECMs, using the ADMM algorithm for distributed optimization and economic interpretation of the shared energy scheme. The effectiveness of the method is demonstrated through case studies considering IDR, with easy implementation and convergence while respecting MECMs' individual benefits and private information.
Multi-energy complementary microgrids (MECMs) provide an important means to accommodate renewable energy sources due to their abundant adjustable resources and flexible operation modes. However, limited capacity and controllability are the main obstacles that prevent MECMs from participating in the market. In this study, we develop a transactive energy (TE) mechanism-supported energy sharing strategy to coordinate interconnected MECMs in a regional integrated energy system (RIES), where the uncertainty of renewable energy and loads is taken into account via stochastic programming. An RIES operator is introduced to trade with the utility grid as an intermediate player between the electricity market and MECMs. For the TE mechanism, we employ alternating direction method of multipliers (ADMM) algorithm to achieve distributed optimization of energy sharing, which is based on the average of the shared energy residual over all MECMs. A clear economic interpretation exists in the method, wherein shared electrical and thermal energy prices can be obtained. Case studies demonstrate the effectiveness of the multi-energy sharing scheme considering integrated demand response (IDR). Moreover, the distributed algorithm can be implemented and converge easily while respecting MECMs' individual benefits and private information.

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