规划视界中的多目标电力扩展规划

M. Zakerinia, S. Torabi
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引用次数: 6

摘要

近年来,由于燃料的大量使用,给环境带来了许多问题。在对发电进行长期规划时,考虑这些问题是十分重要的。本文提出了规划视界下的多目标电力扩展规划模型。所提出的模型研究了一个国家在一段时间内的电力扩张计划。该模型包括五个目标:总成本、发电机组的总二氧化碳排放、发电机组中石油、天然气等能源载体的总消耗、能源载体价格变化的风险以及规划期内电网的可靠性。除可靠性函数最大外,其他目标均最小。该模型考虑了不同地区及其对电力的需求,目的是在规划范围内满足这些需求。此外,还考虑了输电线路及其特性、投资和发电约束。结果表明,在规划范围内,每个区域应产生多少能源,以何种技术来满足规划区域内不同区域的能源需求。在每个区域考虑不同的可能的发电机组,包括可再生能源,常规能源发电机组和核电站。针对所提出的模型,提出了一种求解方法,该模型采用增广ep约束(AUGMECON)法求解,该方法在能源领域尚未得到应用。利用该方法得到Pareto解,决策者可以在这些解中选择期望的答案。最后通过数值算例对该模型进行了验证,并对结果进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiobjective power expansion planning in the planning horizon
In the past years due to extensive use of fuels, many problems have been raised for environment. It is very important to consider these problems in power expansion planning in a long term planning for power generation. In this paper a multi objective model for power expansion planning in a planning horizon is proposed. The proposed model studies a plan for a power expansion planning over a period of years for a country. The model involves five objectives: the total cost, the total CO2 emission of power units, the total consumption of energy carriers like oil, gas, etc. in units, the risk of changing in price of energy carriers and reliability of the power network over the planning horizon. All of objectives are to be minimized except the reliability function which is maximized. This model considers different areas and their demands for electricity with aim of satisfying these demands over the planning horizon. Also transmission lines and their properties, investment and generation constraints are considered. Results show in each area how much energy and with what technology should generate in the planning horizon in order to satisfy the demands of energy in different areas of planning area. Different possible generation units are considered in each area which includes renewable energy sources, conventional energy generation units and nuclear plants. For the presented model a solution method is proposed, the model solved through augmented ep-constraint (AUGMECON) method which is not applied yet in energy field. Using this method Pareto solutions are obtained, among these solutions the desired answer can be selected by decision makers. At the end of the study the numerical example is applied to this model and the results are discussed.
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