基于可再生能源和高压直流输电的多目标动态经济调度

M. Musau, N. Odero, C. Wekesa
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引用次数: 7

摘要

近年来,高压直流输电系统在将可再生能源(RE)整合到电网中越来越重要,因为它们通过架空线路提供远距离大容量电力传输,具有各种经济优势。拟建的1045公里、500千伏高压直流埃塞俄比亚-肯尼亚双极线将把图尔卡纳湖风力发电项目(LTWWP)的风力传输到肯尼亚内罗毕的朱贾变电站。本文提出了可再生能源和高压直流输电线路的多目标动态经济调度方法。所有可能的交流和直流约束也被制定和考虑。采用概率潮流(PLF)确定高压直流、可再生能源等系统参数,采用基于情景的方法(SBM)对可再生能源的不确定性和可变性进行建模。然后使用改进的遗传算法(IGA)解决问题。经RE调制后的高压直流输电线路具有更好的潮流控制能力,降低了输电线路损耗,提高了维护电压稳定的能力。在使用高压直流电网时,必须在环境效益和最佳成本的轻微增加之间进行权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi objective dynamic economic dispatch with renewable energy and HVDC transmission lines
HVDC systems have recently found increasing importance in integration of Renewable energy (RE) into the grid for they provide long distance bulk power transmission by overhead lines with various economic advantages. The proposed 1045 km, 500kV HVDC Ethiopia - Kenya Bipole will provide transmission of Wind power from the Lake Turkana Wind Power Project (LTWWP) to Juja Substation in Nairobi, Kenya. In this paper, multi objective dynamic economic dispatch (MODED) with RE and HVDC transmission lines is proposed. All the possible AC and DC constraints are also formulated and considered. Probalistic load flow (PLF) is used to determine the HVDC, RE and other system parameters while the uncertainties and variability of the renewable sources are modelled using scenario based method (SBM). The problem is then solved using Improved Genetic Algorithm(IGA). For MODED with RE, HVDC lines have a better ability to control power flow, decrease transmission line losses and increase the capability to maintain voltage stability. There has to a trade-off between the environmental benefits and slight increase in optimal cost in using HVDC grids.
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