计及调峰市场交易的储能-新能源-火电多目标优化调度

doi:10.19595/j.cnki.1000-6753.tces.221720

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摘要大规模新能源接入对电网调峰提出挑战,如何在提高新能源上网率的同时兼顾调峰资源的经济效益已成为亟须解决的重要问题,该文提出电力市场环境下考虑弃风、弃光的储能-新能源-火电多目标优化调度方法。首先,根据现行调峰政策设计储能-新能源-火电调峰市场交易机制,并建立以弃风率、弃光率为基准的新能源交易功率模型、报价模型和依托现行调峰规则的火电报价模型;然后,通过开展新能源与储能、火电之间的双边交易,以新能源中标功率和系统调峰成本为多目标进行出清,优化得到火电机组出力、新能源中标功率、储能充放电功率及出清价格;最后,采用算例进行验证,结果表明所提出优化调度方法在降低新能源弃风弃光率的同时能够显著提高参与调峰市场主体的经济效益。

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	李军徽
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	刘芮彤

关键词 ：弃风弃光, 新能源报价, 储能调峰, 调峰成本, 市场出清

Abstract：Large scale new energy access poses challenges to power grid peak shaving. How to improve the grid connection rate of new energy while taking into account the economic benefits of peak shaving resources has become an important problem that needs to be solved urgently. Therefore, this paper proposes a multi-objective optimization dispatching method of energy storage new energy thermal power under the electricity market environment, which considers the abandonment of wind and light. This paper first designs the trading mechanism of energy storage new energy thermal power peak shaving market according to the current peak shaving policy, and establishes a new energy trading power model, a bidding model and a thermal power bidding model based on the current peak shaving rules, with the wind abandonment rate and light abandonment rate as the benchmark. Secondly, through bilateral transactions between new energy, energy storage and thermal power, with the bid winning power of new energy and system peak shaving cost as multiple objectives, the output of thermal power units, bid winning power of new energy, energy storage charging and discharging power and clearing price are optimized.
In order to verify the effectiveness of the above control strategies, this paper takes a region in Northeast China as an example, and conducts numerical simulation by selecting typical daily system operation data. The specific conclusions are as follows:
First of all, this paper constructs a new energy trading power model and a new energy quotation model for the situation of new energy abandoning wind and light. The model can fully reflect the trading willingness of new energy stations in each period and improve the enthusiasm of new energy stations to participate in the peak shaving market by taking the wind abandonment rate and light abandonment rate in each period as the benchmark.
Secondly, by setting up three scenarios to verify, compared with the market model of “unilateral transaction of thermal power units” in Scenario 1 and the market model of “bilateral transaction of new energy thermal power” in Scenario 2, the optimal dispatching strategy proposed in this paper reduces the wind abandonment rate and light abandonment rate of typical new energy stations by 4.21%, 5.26%, 1.77% and 2.25% respectively, and the new energy consumption capacity of the power system is significantly improved.
Finally, the optimized dispatching strategy proposed in this paper can improve the economic benefits of peak shaving of market players while reducing the wind abandonment rate and light abandonment rate: in typical days, the net cost of peak shaving of thermal power units decreases by 56 100 CNY compared with the "thermal power unilateral" trading mode, and the net income of wind farms and photovoltaic power plants increases by 305 200 CNY and 90 100 CNY respectively. At the same time, when the net income of energy storage participating in market transactions is converted to the full life cycle, the cost coverage rate can reach 212.94%, and the economic benefits of market players for peak shaving can be significantly improved.

Key words： Abandon wind and abandon light new energy quotation energy storage peak regulating peak regulating cost market clearing

收稿日期: 2022-09-09

PACS:

TM732

基金资助:国家电网有限公司科技项目资助（5108-202299257A-1-0-ZB）

通讯作者: 李翠萍女,1982年生,副教授,硕士生导师,研究方向为储能技术在电力系统中的应用。E-mail：licuipingabc@163.com

作者简介: 李军徽男,1976年生,教授,博士生导师,研究方向新能源发电联网运行关键技术和储能技术的应用。E-mail：lijunhui@neepu.edu.cn

引用本文:

李军徽, 安晨宇, 李翠萍, 张靖祥, 刘芮彤. 计及调峰市场交易的储能-新能源-火电多目标优化调度[J]. 电工技术学报, 2023, 38(23): 6391-6406. Li Junhui, An Chenyu, Li Cuiping, Zhang Jingxiang, Liu Ruitong. Multi-Objective Optimization Scheduling Method Considering Peak Regulating Market Transactions for Energy Storage - New Energy - Thermal Power. Transactions of China Electrotechnical Society, 2023, 38(23): 6391-6406.

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