风蓄联合系统的抽水蓄能容量优化

doi:10.11930/j.issn.1004-9649.201612076

中国电力 ›› 2018, Vol. 51 ›› Issue (2): 99-104,124.DOI: 10.11930/j.issn.1004-9649.201612076

风蓄联合系统的抽水蓄能容量优化

易琛¹, 任建文¹, 于佳²

1. 新能源电力系统国家重点实验室(华北电力大学), 河北保定 071003;
2. 国网山东省电力公司菏泽供电公司, 山东菏泽 274000

收稿日期:2016-12-07 修回日期:2017-08-22 出版日期:2018-02-05 发布日期:2018-02-11
作者简介:易琛(1993—),女,湖南岳阳人,硕士研究生,从事电力系统分析、运行与控制研究,E-mail:ncepuyc@126.com。
基金资助:
国家自然科学基金资助项目（51177043）。

Research on Capacity Optimization of Pumped-Storage Power Station with Wind Farm

YI Chen¹, REN Jianwen¹, YU Jia²

1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University), Baoding 071003, China;
2. Heze Power Supply Company of State Grid Shandong Electric Power Company, Heze 274000, China

Received:2016-12-07 Revised:2017-08-22 Online:2018-02-05 Published:2018-02-11
Supported by:
This work is supported by National Natural Science Foundation of China (No. 51177043).

摘要/Abstract

摘要： 为了提高风蓄联合系统内风电场运行的经济性，有必要对抽水蓄能进行容量优化。首先计及风电特性给出了风蓄联合运行策略，以减小风电随机性对电网稳定性的影响；其次，给出了计算风电并网功率的数学模型，可作为调度员拟定发电计划的依据；以联合系统的安装和运行维护总成本最低为目标，结合机会约束规划理论建立了抽水蓄能容量优化模型，并采用混沌粒子群优化算法进行求解。算例分析表明了该方法的合理性。

关键词: 风电场, 抽水蓄能电站, 容量优化, 随机规划, 混沌粒子群优化算法

Abstract: Pump-storage capacity optimization is very important to improve wind farm operation economics. According to wind farm characteristics, an operation strategy of wind power-pumped storage system is proposed to reduce effect of wind fluctuations and randomness on system stability. A model is proposed to calculate reference value of wind farm output power, which is used by dispatcher to formulate generation plans. A stochastic optimization model for determining pumped-storage capacity is presented, which aims to minimize total cost of wind farm operation and pumped-storage installation and maintenance. The model is solved by chaotic particle swarm optimization algorithm. Analysis of examples show the effectiveness of proposed scheduling strategy.

Key words: wind farm, pumped-storage power station, capacity optimization, stochastic programming, chaotic particle swarm optimization algorithm

中图分类号:

TM715

易琛, 任建文, 于佳. 风蓄联合系统的抽水蓄能容量优化[J]. 中国电力, 2018, 51(2): 99-104,124.

YI Chen, REN Jianwen, YU Jia. Research on Capacity Optimization of Pumped-Storage Power Station with Wind Farm[J]. Electric Power, 2018, 51(2): 99-104,124.

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https://www.electricpower.com.cn/CN/Y2018/V51/I2/99

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风蓄联合系统的抽水蓄能容量优化

Research on Capacity Optimization of Pumped-Storage Power Station with Wind Farm

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风蓄联合系统的抽水蓄能容量优化

Research on Capacity Optimization of Pumped-Storage Power Station with Wind Farm

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