新电改下发电偏差最小的水电中长期调度模型研究
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摘要
随着新一轮电力体制改革不断深入,流域水电调度目标已由发电量最大化转变为发电收益最大化。按照电力市场规则要求,水电商需要承担偏差电量的考核费用,因此水电商除获取更多的发电指标和更高的电价外,还应控制发电偏差,避免偏差考核。针对当前电力市场环境,构建了基于区域电力市场规则的水电中长期调度模型,并通过实例分析,对该模型的合理性和有效性进行了验证。
With the deepening of new electricity system reform, the goal of hydropower dispatching has been transformed from maximizing power generation to maximizing power generation profit. According to the requirements of electricity market rules, hydropower suppliers need to bear the assessment cost of the deviation of electricity. Therefore, in addition to obtain more power generation indicators and higher electricity prices, hydropower suppliers should also control power generation deviations and avoid deviation assessment. Based on the current electricity market environment, a hydropower mid-long term scheduling model is constructed based on regional electricity market rules. The rationality and effectiveness of the proposed model are verified by an example analysis.
With the deepening of new electricity system reform, the goal of hydropower dispatching has been transformed from maximizing power generation to maximizing power generation profit. According to the requirements of electricity market rules, hydropower suppliers need to bear the assessment cost of the deviation of electricity. Therefore, in addition to obtain more power generation indicators and higher electricity prices, hydropower suppliers should also control power generation deviations and avoid deviation assessment. Based on the current electricity market environment, a hydropower mid-long term scheduling model is constructed based on regional electricity market rules. The rationality and effectiveness of the proposed model are verified by an example analysis.
引文
[1] 马科. 基于多核并行计算的水库群中长期优化调度研究[D]. 宜昌:三峡大学, 2014.
[2] 汪明清, 林成, 肖燕,等. 多种中长期发电优化调度模型在乌江梯级的应用[J]. 南方电网技术, 2012, 6(s1):37-39.
[3] 卢立宇, 赵飞, 陶春华,等. 瀑布沟水电站及下游梯级经济运行方式研究[J]. 水力发电, 2015, 41(4):63-65.
[4] 刘方, 张粒子. 流域梯级水电优化调度模型与方法研究综述[J]. 华北电力大学学报(自然科学版), 2017, 44(5):81-90.
[5] 刘方, 张粒子, 蒋燕,等. 电力市场环境下梯级水电站中长期调度与检修计划双层优化模型[J]. 电网技术, 2018,42(5):1541-1548.
[6] 刘方, 张粒子. 流域梯级水电站中长期调度与跨价区交易组合双层优化模型[J]. 中国电机工程学报, 2018, 38(2):444-456.
[7] 刘方, 张粒子. 计及随机和风险因素的梯级水电调度交易优化模型和方法[J]. 电网技术, 2018,42(3):870-877.
[8] 罗京蕾, 黄显峰, 方国华. 电力市场交易背景下水电站优化调度研究[J]. 南水北调与水利科技, 2016, 14(5):184-188.
[2] 汪明清, 林成, 肖燕,等. 多种中长期发电优化调度模型在乌江梯级的应用[J]. 南方电网技术, 2012, 6(s1):37-39.
[3] 卢立宇, 赵飞, 陶春华,等. 瀑布沟水电站及下游梯级经济运行方式研究[J]. 水力发电, 2015, 41(4):63-65.
[4] 刘方, 张粒子. 流域梯级水电优化调度模型与方法研究综述[J]. 华北电力大学学报(自然科学版), 2017, 44(5):81-90.
[5] 刘方, 张粒子, 蒋燕,等. 电力市场环境下梯级水电站中长期调度与检修计划双层优化模型[J]. 电网技术, 2018,42(5):1541-1548.
[6] 刘方, 张粒子. 流域梯级水电站中长期调度与跨价区交易组合双层优化模型[J]. 中国电机工程学报, 2018, 38(2):444-456.
[7] 刘方, 张粒子. 计及随机和风险因素的梯级水电调度交易优化模型和方法[J]. 电网技术, 2018,42(3):870-877.
[8] 罗京蕾, 黄显峰, 方国华. 电力市场交易背景下水电站优化调度研究[J]. 南水北调与水利科技, 2016, 14(5):184-188.