• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

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

• 面向可再生能源消纳的多能源互补·栏目主持 张宁副教授· • 上一篇    下一篇

考虑可调控负荷和储能的区域互联备用优化模型

刘敦楠1, 李鹏飞1,葛睿2,韩金山1   

  1. 1.新能源电力系统国家重点实验室(华北电力大学), 北京市 102206;2. 国家电力调度控制中心,北京市100031
  • 出版日期:2019-12-01
  • 作者简介:刘敦楠(1979),男,博士,副教授,主要研究方向为电力市场、能源互联网; 李鹏飞(1995),男,硕士研究生,主要研究方向为电力市场; 葛睿(1979),男,硕士,高级工程师,主要研究方向为电网调度运行、新能源发电、电力市场; 韩金山(1967),男,博士,副教授,主要研究方向为电力市场。
  • 基金资助:
    国家电网公司科技项目(SGTYHT/16-JS-198)

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)

摘要: 跨区互联能有效促进清洁能源消纳,但跨区互联会对区域内部机组备用及线路传输裕度产生影响,进而给电网安全稳定运行带来挑战。随着泛在电力物联网建设进程的推进,用户侧负荷需求响应不断深入,且分布式发电、储能技术也迅速发展,为解决区域互联备用问题提供了更多有效方式。同时,随着泛在电力物联网下电网结构的复杂化,传统集中式算法面临信息存储、数据交换、信息保护方面的问题。基于分布式算法,针对储能和可调控负荷参与下的跨区互联协同调度问题进行了研究。首先,建立了考虑风光火储和可调控负荷的多区域调度场景。然后,以多区域系统总运行成本最小为目标函数,考虑不确定性下的鲁棒等价约束,由此建立多区域优化调度模型,并采用分布式算法进行求解。最后,通过算例分析验证了鲁棒等价约束的有效性及储能系统和可调控负荷对缓解机组备用压力的有效性。

关键词: 可调控负荷, 储能, 鲁棒优化, 备用

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

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