高比例可再生能源电力系统电源扩展优化研究——以尼日利亚为例

支持可再生能源发展,建设清洁互补的能源系统、促进能源结构变革已成为全球各大国在能源转型领域的核心共识。尼日利亚是非洲人口大国,经济社会发展迅速,负荷增长较快,但国内多数发电设备较为陈旧,面临电力供应不足、供电结构单一的问题。据测算,到2030年,尼日利亚雨、旱季系统电力缺口分别为9950MW和7361MW,雨季系统调峰容量缺口388MW,电力供需矛盾突出。尼日利亚新能源资源丰富,水电技术可开发量大,结合其资源禀赋特征及可再生能源发展政策,考虑发展少量风电,电力和调峰缺口主要通过水电站和抽水蓄能等储能电站解决,电量缺口主要通过水电和光伏电站解决。在此基础上构建高比例可再生能源扩展优化模型,以经济成本最低为原则进行自动迭代寻优计算。2030水平年推荐电源配置为:水电装机10111MW、风电装机1400MW、光伏装机10269MW、火电装机11600MW。该方案可再生能源发电量占比超过45%,具有清洁绿色、安全稳定、经济合理的特征。

电源扩展优化模型在抽水蓄能电站合理运行中的应用

为了体现抽水蓄能电站在电网中的作用和价值,寻求电网中抽水蓄能电站合理的调度运行方式,采用基于分解协调技术的电源扩展优化模型,对抽水蓄能电站合理运行进行评价。以京津及冀北电网为例,进行十三陵抽水蓄能电站合理运行方式计算,以满足区域电网的调度运行要求。

建设新型电力系统目标下的湖南省中长期电源优化配置研究

在加快构建新型电力系统、助力新型能源体系规划建设的时代背景下,湖南省电源结构正逐步由“水火并济”转变为新能源作为电力电量主体的新格局。考虑到新能源发电的随机性和波动性,湖南电网能源结构的优化重构和调节电源的进一步发展对电力系统安全运行和清洁化发展至关重要。利用新型电力系统运行模拟模型,综合考虑扩展电源建设运行成本、新能源消纳等因素,建立了电源扩展优化经济模型,并以湖南电网为模型应用实例,深入分析了电力系统中长期电源资源的配置需求,经技术经济比选明确了系统中长期电源优化配置的推荐方案。

海南电网可避免电源选择的综合分析

抽水蓄能电站有利于电力系统的安全稳定经济运行，按照其财务评价相关规定，设计电站的效益以可避免电源方案的费用为计算依据。针对海南电网实际，根据海南电力系统需求及电源发展规划，综合分析海南电网主要电源建设条件及经济特性，选择海南电网的可避免电源方案。

An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning

We propose a new robust optimization approach to evaluate the impact of an intermittent renewable energy source on transmission expansion planning （TEP）. The objective function of TEP is composed of the investment cost of the transmission line and the operating cost of conventional generators. A method to select suitable scenarios representing the intermittent renewable energy generation and loads is proposed to obtain robust expansion planning for all possible scenarios. A meta-heuristic algorithm called adaptive tabu search （ATS） is employed in the proposed TEE ATS iterates between the main problem, which minimizes the investment and operating costs, and the subproblem, which minimizes the cost of power generation from conventional generators and curtailments of renewable energy generation and loads. The subproblem is solved by nonlinear programming （NLP） based on an interior point method. Moreover, the impact of an intermittent renewable energy source on TEP was evaluated by comparing expansion planning with and without consideration of a renewable energy source. The IEEE Reliability Test System 79 （RTS 79） was used for testing the proposed method and evaluating the impact of an intermittent renewable energy source on TEP. The results show that the proposed robust optimization approach provides a more robust solution than other methods and that the impact of an intermittent renewable energy source on TEP should bc considered.