面向调峰的光热-光伏联合电站多时间尺度动态优化调度

Proposes a multi-time-scale dynamic optimal dispatch model for CSP-PV hybrid plants considering thermal absorption, storage/exchange, power generation and molten salt electric heating dynamics, coupled with day-ahead/intra-day rolling economic dispatch to minimize system operation cost and maximize revenue. Case study in Northwest China shows 13.48% and 6.67% revenue gain over conventional and revenue-only strategies, with reduced curtailment by 1.39% and 0.5%.

为提高光热-光伏运营主体的收益与消纳能力,考虑吸热、储换热、发电、熔盐电加热等系统模块的启停及动态切换条件,建立联合电站多时间尺度动态优化调度模型,以响应调峰需求并最大化联合电站收益;模型耦合电力系统日前-日内滚动经济调度,以优化出力结果作为申报出力曲线,构建以最小化电力系统综合运行成本为目标的优化调度模型;最后以西北某地区电力系统的实测数据为算例进行分析.算例分析表明:面向调峰的该策略相较于传统调度策略和收益最大化策略分别提高电站总收益13.48％和6.67％,电力系统的弃风弃光率分别减少1.39％和0.5％.