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A simulation - Optimization models for multi-reservoir hydropower systems design at watershed scale

机译:模拟-流域尺度上的多水库水电系统设计优化模型

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摘要

Hydropower energy is one of the most economical and cleanest energies in the world. Due to the huge investment in hydropower projects, economic feasibility and determining the main design parameters related to plant sizing of hydro projects are extremely important. In this research, a simulation optimization model for optimal design of hydropower systems with a systematic view of the basin (which is a complex nonlinear problem) has been developed. For water resources planning and management in the water basin, WEAP model has been used. Despite various capabilities, there are also limitations for hydropower systems modeling in WEAP. In this regard, a hydropower computation module has been employed to resolve these disadvantages. Then, PSO algorithm, linked to the simulation model and the developed optimization-simulation model has been used to solve the problem of optimal design of Garsha, Kuran Buzan, Sazbon and Tange mashoore power plant projects in Karkhe river basin. Objective function has been formulated based on two conventional methods in the economic analysis of hydro projects, i.e. electricity market price method and alternative thermal plant method. The objective function is maximization of net benefits of hydropower projects considering all resources, uses, and demands in the basin. Normal water level (NWL), Minimum Operation Level (MOL), Installed Capacity (IC) of dams and power-plants were chosen as decision variables of the problem. Finally, the results of optimal design of hydropower system have been discussed for both economic objective functions, followed by comparison and analysis of the results. the total generated energy and firm energy of the hydropower system is calculated bigger in alternative thermal plant method compared to market price method. However, the peak generated energy is computed larger in the market price. (C) 2019 Elsevier Ltd. All rights reserved.
机译:水电能源是世界上最经济,最清洁的能源之一。由于对水电项目的巨额投资,经济可行性和确定与水电项目的工厂规模相关的主要设计参数极为重要。在这项研究中,开发了一个具有水盆系统视图(这是一个复杂的非线性问题)的水电系统优化设计的仿真优化模型。对于流域的水资源规划和管理,已使用WEAP模型。尽管具有各种功能,但WEAP中的水电系统建模也存在局限性。在这方面,已经采用水力计算模块来解决这些缺点。然后,将PSO算法与仿真模型和已开发的优化仿真模型相链接,用于解决喀什河流域加沙,库兰·布赞,萨兹邦和丹吉马绍尔发电厂项目的优化设计问题。在水利项目经济分析中,基于两种常规方法制定了目标函数,即电力市场价格法和替代热电厂法。目标功能是最大限度地考虑流域内所有资源,用途和需求的水电项目的净收益。选择正常水位(NWL),最低运行水位(MOL),水坝和发电厂的装机容量(IC)作为问题的决策变量。最后,针对经济目标函数讨论了水电系统优化设计的结果,然后对结果进行了比较和分析。与市场价格法相比,用替代热电厂法计算出的水电系统的总发电量和固定能源要大。但是,在市场价格中计算出的峰值发电能量更大。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Renewable energy》 |2020年第4期|253-263|共11页
  • 作者

  • 作者单位

    Shahid Beheshti Univ Fac Civil Water & Environm Engn Abbaspour Blvd Tehran 1658953571 Iran;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Hydropower; Multi-reservoir system; PSO; WEAP; Optimization; Economic;

    机译:水力发电;多水库系统;PSO;WEAP;优化;经济;

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