• 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 ›› 2019, Vol. 40 ›› Issue (12): 22-29.doi: 10.3969/j.issn.1000-7229.2019.12.003

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Optimization Model of Regional Interconnection Reserve Considering Adjustable Load and Energy Storage

LIU Dunnan1, LI Pengfei1,GE Rui2, HAN Jinshan1   

  1. 1.State Key Laboratory of Alternate Electrical Power System with New Energy Sources (North China Electric Power University), Beijing 102206, China;2.National Power Dispatching and Control Center, Beijing 100031, China
  • Online:2019-12-01
  • Supported by:
    This work is supported by State Grid Corporation of China Research Program(NO.SGTYHT/16-JS-198)

Abstract: Cross-regional interconnection can effectively promote the accommodation of clean energy, but cross-regional interconnection will have an impact on the spare capacity of units within the region and the line transmission margin, thereby bringing challenges to the safe and stable operation of the power grid. With the development of ubiquitous power internet of things, the demand response of user-side load continues to deepen, and distributed power generation and energy storage technologies also develop rapidly, providing more effective ways to solve the problem of regional interconnection reserve. At the same time, with the increased complexity of the grid structure under the ubiquitous power internet of things, the traditional centralized algorithm is faced with problems of information storage, data exchange and information protection. Therefore, on the basis of distributed algorithm, this paper studies the cross-region interconnection collaborative scheduling problem with the participation of energy storage and controllable load. Firstly, a multi-region dispatching scenario considering storage and adjustable load is established. Then, taking the minimum total operating cost of the multi-region system as the objective function and considering the robust equivalent constraints under uncertainty, a multi-region optimal scheduling model is established, and the distributed algorithm is adopted to solve the problem. Finally, the effectiveness of robust equivalent constraints is verified by example analysis, and the effectiveness of energy storage and adjustable load for relieving standby pressure of unit is analyzed.

Key words: controllable load, energy storage, robust optimization, unit reserve

CLC Number: