适应清洁供暖交易的新能源调度控制策略研究
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摘要
考虑新能源清洁供暖交易规则以及新能源场站单机运行信息和功率预测信息,提出了适应清洁供暖交易的新能源有功控制策略。首先根据限电时段、限额和新能源出力等预测信息,将月度交易电量分解至每一个限电日;日前再根据超短期预测信息将计划日交易电量分解至每个限电时段,并通过不断地滚动校验来修正计划交易电量。基于此策略建立了多时间尺度耦合的滚动优化模型。基于实际风电场的运行数据,对控制策略的有效性进行了验证。算例分析表明,相较于传统控制策略,本策略能够有效减少限电损失,同时提高新能源场站能源利用的公平性。
Considering rules of clean heating trading, unit operation information and power forecast in renewable generation stations in North Hebei area, this paper puts forward an active power control strategy for renewable generation adapted to clean heating trading. Firstly, the clearing energy is divided into each day when renewable generation is curtailed based on predicted power output and interface limit. Then the daily clearing energy is divided into each time interval based on day-ahead forecast of renewable generation. The planned clearing energy for each day and each interval is adjusted according to its past completion. Then rolling optimization model is built and case studies based on realistic wind farms are carried out to verify the proposed strategy. It is validated that, compared with traditional strategy, the proposed strategy can accommodate the renewable energy more efficiently and more fairly.
Considering rules of clean heating trading, unit operation information and power forecast in renewable generation stations in North Hebei area, this paper puts forward an active power control strategy for renewable generation adapted to clean heating trading. Firstly, the clearing energy is divided into each day when renewable generation is curtailed based on predicted power output and interface limit. Then the daily clearing energy is divided into each time interval based on day-ahead forecast of renewable generation. The planned clearing energy for each day and each interval is adjusted according to its past completion. Then rolling optimization model is built and case studies based on realistic wind farms are carried out to verify the proposed strategy. It is validated that, compared with traditional strategy, the proposed strategy can accommodate the renewable energy more efficiently and more fairly.
引文
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[15]白杨,钟海旺,夏清,等.电量协调与成本控制的日内滚动发电计划[J].电网技术,2013,37(10):2965-2972.Bai Yang,Zhong Haiwang,Xia Qing,et al.An intraday rolling scheduling with unit energy coordination and operating cost control[J].Power System Technology,2013,37(10):2965-2972(in Chinese).
[16]孙荣富,王东升,丁华杰,等.风电消纳全生产过程评价方法[J].电网技术,2017,41(9):2777-2783.Sun Rongfu,Wang Dongsheng,Ding Huajie.Research on whole process evaluation methods of wind power accommodation[J].Power System Technology,2017,41(9):2777-2783(in Chinese).
[17]张彦涛,任景,孙骁强,等.基于广义联络线网省协调的两阶段实时发电计划模型[J].电力系统自动化,2015,39(6):128-133.Zhang Yantao,Ren Jing,Sun Xiaoqiang,et al.Two-stage real-time generation scheduling model based on coordination of regional and provincial power grid generalized tie-line[J].Automation of Electric Power Systems,2015,39(6):128-133(in Chinese).
[2]Pinson P,Chevallier C,Kariniotakis G N.Trading wind generation from short-term probabilistic forecasts of wind power[J].IEEETransactions on Power Systems,2007,22(3):1148-1156.
[3]Castronuovo E D,Usaola J,Bessa R,et al.An integrated approach for optimal coordination of wind power and hydro pumping storage[J].Wind Energy,2014,17(6):829-852.
[4]Zugno M,Morales J M,Pinson P,et al.Pool strategy of a price-maker wind power producer[J].IEEE Transactions on Power Systems,2013,28(3):3440-3450.
[5]乔颖,鲁宗相.考虑电网约束的风电场自动有功控制[J].电力系统自动化,2009,33(22):88-93.Qiao Ying,Lu Zongxiang.Wind farms active power control considering constraints of power grids[J].Automation of Electric Power Systems,2009,33(22):88-93(in Chinese).
[6]王靖然,王玉林,杨志刚,等.考虑嵌套断面约束的大规模集群风电有功控制策略[J].电力系统自动化,2015,39(13):16-21.Wang Jingran,Wang Yulin,Yang Zhigang,et al.An active power control strategy for large-scale cluster of wind power considering constraints on nested transmission sections[J].Automation of Electric Power Systems,2015,39(13):16-21(in Chinese).
[7]翟丙旭,王靖然,杨志刚,等.调峰约束下考虑发电优先级的风电有功控制策略[J].电力系统自动化,2017,41(23):83-88.Zhai Bingxu,Wang Jingran,Yang Zhigang,et al.Active power control strategy for wind power considering priorities of power generation with peak regulation constraints[J].Automation of Electric Power Systems,2017,41(23):83-88(in Chinese).
[8]于昌海,吴继平,王运,等.适应发电权交易的可再生能源有功控制策略[J].电力系统自动化,2017,41(9):71-76.Yu Changhai,Wu Jiping,Wang Yun,et al.Active power control strategy for renewable energy generation adapted to generation right trade[J].Automation of Electric Power Systems,2017,41(9):71-76(in Chinese).
[9]高宗和,滕贤亮,张小白.适应大规模风电接入的互联电网有功调度与控制方案[J].电力系统自动化,2010,34(17):37-41.Gao Zonghe,Teng Xianliang,Zhang Xiaobai.Solution of active power dispatch and control scheme for interconnected power grids with large-scale wind power integration[J].Automation of Electric Power Systems,2010,34(17):37-41(in Chinese).
[10]朱涛,于继来.NON-AGC机组协同AGC机组的高峰调度模型[J].电力系统自动化,2007,31(3):9-14.Zhu Tao,Yu Jilai.Peak load dispatch modeling considering regulation between NON-AGC units and AGC units[J].Automation of Electric Power Systems,2007,31(3):9-14(in Chinese).
[11]Ding H,Hu Z,Song Y.Rolling optimization of wind farm and energy storage system in electricity markets[J].IEEE Transactions on Power Systems,2015,30(5):2676-2684.
[12]温丽丽,刘俊勇,吴志云,等.基于月度滚动修正的合同电量分解算法与应用[J].现代电力,2008(1):82-87.Wen Lili,Liu Junyong,Wu Zhiyun,et al.Study and application of resolution algorithm of contract volume based on monthly rolling amendment[J].Modern Electric Power,2008(1):82-87(in Chinese).
[13]王漪,于继来,柳焯.基于月度竞价空间滚动均衡化的年中标电量分解[J].电力系统自动化,2006,30(17):24-27,64.Wang Yi,Yu Jilai,Liu Zhuo.Decomposition of yearly bided volume based on roll-uniformization of monthly competitive bidding spaces[J].Automation of Electric Power Systems,2006,30(17):24-27,64(in Chinese).
[14]李其智,任震,余志文.基于合同电量滚动分解算法的合同管理系统[J].广东电力,2002(3):76-78,81.Li Qizhi,Ren Zhen,Yu Zhiwen.The contract system basing contract rolling method[J].Guangdong Electric Power,2002(3):76-78,81(in Chinese).
[15]白杨,钟海旺,夏清,等.电量协调与成本控制的日内滚动发电计划[J].电网技术,2013,37(10):2965-2972.Bai Yang,Zhong Haiwang,Xia Qing,et al.An intraday rolling scheduling with unit energy coordination and operating cost control[J].Power System Technology,2013,37(10):2965-2972(in Chinese).
[16]孙荣富,王东升,丁华杰,等.风电消纳全生产过程评价方法[J].电网技术,2017,41(9):2777-2783.Sun Rongfu,Wang Dongsheng,Ding Huajie.Research on whole process evaluation methods of wind power accommodation[J].Power System Technology,2017,41(9):2777-2783(in Chinese).
[17]张彦涛,任景,孙骁强,等.基于广义联络线网省协调的两阶段实时发电计划模型[J].电力系统自动化,2015,39(6):128-133.Zhang Yantao,Ren Jing,Sun Xiaoqiang,et al.Two-stage real-time generation scheduling model based on coordination of regional and provincial power grid generalized tie-line[J].Automation of Electric Power Systems,2015,39(6):128-133(in Chinese).