• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2020, Vol. 41 ›› Issue (1): 55-63.doi: 10.3969/j.issn.1000-7229.2020.01.007

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Physical Delivery Modeling and Fast Solution Algorithms for Long and Medium-Term Spot Markets Considering Wind-Storage Participating in Direct Transactions

HUANG Yuanming1, CHEN Qing1 ,WEI Wei2, WU Mingxing1 ,XIE Min2,DUAN Qingang1 ,LIU Mingbo2   

  1. 1. Guangdong Power Exchange Center Co., Ltd., Guangzhou 510080, China;2. School of Electric Power, South China University of Technology, Guangzhou 510640, China
  • Online:2020-01-01
  • Supported by:
    This work is supported by   Guangdong Natural Science Foundation Free Application Project (No.2018A0303130134) and Guangdong Electric Power Exchange Center Co.,Ltd. (No.GDKJXM20172986) .

Abstract:  In this paper, the mechanism of wind power with energy storage participating in medium and long-term power market trading is studied. On the basis of the actual situation of power market construction, considering the technical characteristics and operation constraints of wind-storage system, aiming at the mode of wind farm with energy storage participating in direct transaction, and integrating the physical delivery principle of medium and long-term spot market, a safety-constrained unit combination model with joint clearing of medium and long-term spot market is established, which is essentially a contingency model containing NP-hard complex optimization of machine variables. In order to improve the efficiency of the solution, a fast simplified algorithm based on typical day-series unit commitment is proposed, which not only effectively solves the problem of unit ramp connection with different load curve dates in medium and long-term power market operation, but also greatly improves the calculation efficiency. The example of IEEE 39-node system shows that the proposed joint liquidation model considering wind-storage participating in direct transactions in the medium and long-term spot market and the fast algorithm for solving the problem are effective, and the computational efficiency and relative error are satisfied.

Key words: wind power with energy storage, medium and long-term electricity market, direct transaction, unit commitment

CLC Number: