上海交通大学学报 ›› 2021, Vol. 55 ›› Issue (7): 791-801.doi: 10.16183/j.cnki.jsjtu.2020.024

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基于灵活性和经济性的可再生能源电力系统扩展规划

李玲芳1, 陈占鹏2(), 胡炎2, 邰能灵2, 高孟平1, 朱涛1   

  1. 1.云南电网有限责任公司, 昆明 650011
    2.上海交通大学 电力传输与功率变换控制教育部重点实验室, 上海 200240
  • 收稿日期:2020-01-17 出版日期:2021-07-28 发布日期:2021-07-30
  • 通讯作者: 陈占鹏 E-mail:chenzhanpeng@sjtu.edu.cn
  • 作者简介:李玲芳(1974-),女,云南省昆明市人,高级工程师,主要研究方向为电网经济调度与系统分析、电力系统规划
  • 基金资助:
    南方电网重大项目(YNKJXM2017 0008);上海市教委科研创新重大项目(2019-01-07-00-02-E00044)

Expansion Planning of Renewable Energy Power System Considering Flexibility and Economy

LI Lingfang1, CHEN Zhanpeng2(), HU Yan2, TAI Nengling2, GAO Mengping1, ZHU Tao1   

  1. 1. Yunnan Power Grid Co., Ltd., Kunming 650011, China
    2. Key Laboratory of Control of Power Transmission and Conversion of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2020-01-17 Online:2021-07-28 Published:2021-07-30
  • Contact: CHEN Zhanpeng E-mail:chenzhanpeng@sjtu.edu.cn

摘要:

风电、光伏等可再生能源的大规模并网为电力系统的规划与运行带来极大的不确定性.为了增强高比例可再生能源电网应对不确定事件的调节能力,保障系统的安全经济运行,需要提升电力系统的灵活性.首先,从线路传输能力和安全运行的角度定义电网灵活性指标.在此基础上,考虑系统经济运行策略,以灵活性、投资成本、运行成本和可再生能源弃用量最优为目标,提出一种基于灵活性和经济性的多目标输电网双层规划模型.采用NSGAII优化算法对该模型进行求解.最后,以改进的Garver-6和IEEE RTS-24节点可靠性测试系统为例,分析所提模型的有效性.结果表明,规划方案能够有效提升电网传输能力,降低可再生能源弃用率,增强电网运行的灵活性和经济性.

关键词: 电网规划, 灵活性, 经济性, 多目标优化, 可再生能源

Abstract:

The large-scale access to renewable energy such as wind power and photovoltaics brings great uncertainty in power system planning and operation. In order to enhance the ability of high-proportion renewable energy grid to respond to uncertain events and ensure the safe and economic operation, it is necessary to improve the flexibility of the power system. First, based on the perspective of line transmission capacity and safe operation, the flexibility index of the transmission line was defined. Next, considering the economic operation strategy of the system, a multi-objective transmission line planning model based on flexibility and economy was proposed to optimize the flexibility index, investment cost, operating cost, and renewable energy consumption. After that, the NSGAII optimization algorithm was used to solve the model. Finally, the improved Garver-6 and IEEE RTS-24 node systems were taken as examples to analyze the effectiveness of the proposed model. The results show that the planning scheme can improve the transmission capacity of power grids, reduce the probability of renewable energy abandonment, and improve the flexibility and economy of power grid operation.

Key words: power system planning, flexibility, economy, multi-objective optimization, renewable energy

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