基于LCC的风火电打捆发电系统多阶段优化规划模型

MA Yinghao

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基于LCC的风火电打捆发电系统多阶段优化规划模型

更新时间：2025-08-13

- 基于LCC的风火电打捆发电系统多阶段优化规划模型
- Automation of Electric Power Systems Vol. 41, Issue 21, Pages: 70-78(2017)
- 作者机构：
  
  输配电装备及系统安全与新技术国家重点实验室, 重庆大学,重庆市,400044
- 作者简介：
- 基金信息：
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- Published：2017
- 稿件说明：
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MA Yinghao. [J]. Automation of electric power systems, 2017, 41(21): 70-78.
DOI：

MA Yinghao. [J]. Automation of electric power systems, 2017, 41(21): 70-78. DOI：

摘要

风火电打捆是解决大规模风电异地消纳的有效手段，而风火电打捆发电系统规划周期长，受资金限制，系统通常分多个阶段依次投产，常规打捆系统规划模型无法适用于该情形。鉴于此，提出一种基于全寿命周期成本(LCC)的风火电打捆发电系统多阶段优化规划模型。模型充分考虑发电机组的全寿命周期成本，以系统总收益最大为目标，考虑系统售电收益、燃料成本、环境成本、维护成本、可靠性成本、火电机组投资成本和机组折余价值。为更加合理地表征风能时序相关性和随机性，建立风能时序概率模型，并利用随机生产模拟技术计算系统的燃料成本、环境成本和可靠性成本。模型采用多种群并行进化遗传算法求解，通过算例分析证明了模型的有效性。

Abstract

The bundled wind-thermal generation system(BWTGS)is an effective way to transmit and accommodate large-scale wind power remotely that requires a long planning cycle. As the wind power plant usually goes into operation by stages

the existing BWTGS planning model is rendered inapplicable. A life cycle cost(LCC)based multi-period optimal planning model of BWTGS is proposed to maximize the total benefits. The benefit of trading electric energy

the fuel cost

the environment cost

the maintenance cost

the reliability cost

the capital cost and the depreciated values of thermal generating units are taken into account. The wind power sequential probabilistic model is developed to represent the sequential and stochastic nature of wind power. The costs are calculated by the probabilistic production simulation method. The multi-population parallel genetic algorithm is employed to solve the model and numerical test to verify the effectiveness of the proposed method.

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