苗树敏;罗彬;申建建;程春田;李刚;孙永军;

• 1:大连理工大学水电与水信息研究所
• 2:清华四川能源互联网研究院
• 3:昆明电力交易中心

摘要(Abstract)：

新电改的实施给现行的电网集中发电调度带来极大挑战,出现了电力交易和市场各方利益综合需求下的竞价与非竞价机组混合发电调度新难题。以云南和贵州电力市场改革为背景,从电网日前计划编制实际需求出发,兼顾购电经济性、节能降耗、竞价与非竞价机组调度公平性目标,考虑水电、火电及系统运行复杂约束,构建优化模型。提出中长期合约电量分解的二次规划方法,并以分解后的日电量为约束,保证竞价机组调度公平性;采用模糊优选法处理多目标模型,通过引入启发式策略,增加自适应参数,提高算法的稳定性和收敛性,实现模型高效求解。仿真测试表明,所提模型及方法在不同电源结构下均可获得合理调度结果,为过渡时期电力系统发电运行提供决策支持。

关键词(KeyWords)： 电力市场;短期发电调度;水电;火电

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(51579029,91547201);; 中央高校基本科研业务项目(DUT16QY30)~~

作者(Author): 苗树敏;罗彬;申建建;程春田;李刚;孙永军;

Email:

DOI: 10.13335/j.1000-3673.pst.2017.2250

参考文献(References)：

• [1]贾科华,王长尧.电力“十二五”:从短缺到过剩[EB/OL].http://www.cnenergy.org/yw/201512/t20151229_255907.html,2015-12-29.
• [2]中共中央国务院.关于进一步深化电力体制改革的若干意见(中发[2015]9号)[Z].2015-03-22.
• [3]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).
• [4]汪洋,苏峰,邓立,等.考虑机组合同电量完成动态均衡的日内安全经济调度[J].中国电力,2016,49(9):125-129.Wang Yang,Su Feng,Deng Li,et al.Dynamic intraday rolling scheduling considering electricity quantity progress[J].Electric Power,2016,49(9):125-129(in Chinese).
• [5]李树山,李刚,程春田,等.动态机组组合与等微增率法相结合的火电机组节能负荷分配方法[J].中国电机工程学报,2011,31(7):41-47.Li Shushan,Li Gang,Cheng Chuntian,et al.Thermal units’energy conservation load dispatch method with combining dynamic unit commitment into equal incremental principle[J].Proceedings of the CSEE,2011,31(7):41-47(in Chinese).
• [6]李俊雄,黎灿兵,曹一家,等.面向智能电网的互动式节能调度初探[J].电力系统自动化,2013,37(8):20-25.Li Junxiong,Li Canbing,Cao Yijia,et al.Preliminary investigation on interactive energy-saving dispatch oriented to smart grid[J].Automation of Electric Power Systems,2013,37(8):20-25(in Chinese).
• [7]仉梦林,胡志坚,王小飞,等.水火电力系统短期实用化调度模型及求解方法[J].电力自动化设备,2016,36(12):115-122.Zhang Menglin,Hu Zhijian,Wang Xiaofei,et al.Practical short-term dispatch model of hydro-thermal power system and solution[J].Electric Power Automation Equipment,2016,36(12):115-122(in Chinese).
• [8]朱泽磊,周京阳,潘毅,等.考虑电力电量平衡的安全约束经济调度[J].中国电机工程学报,2013,33(10):168-176.Zhu Zelei,Zhou Jingyang,Pan Yi,et al.Security constrained economic dispatch considering balance of electric power and energy[J].Proceedings of the CSEE,2013,33(10):168-176(in Chinese).
• [9]胡健,马皓.基于多智能体系统的微网功率经济分配方法[J].电网技术,2017,41(8):2657-2665.Hu Jian,Ma Hao.Multi-agent system based optimal power dispatch algorithm for microgrid[J].Power System Technology,2017,41(8):2657-2665(in Chinese).
• [10]崔杨,周海涛,严干贵,等.虑环境成本及网络约束的风-火联合发电调度[J].电网技术,2017,41(11):3457-3462.Cui Yang,Zhou Haitao,Yan Gangui,et al.Combined dispatching of wind and thermal power generation considering environmental cost and network constraints[J].Power System Technology,2017,41(11):3457-3462(in Chinese).
• [11]尚金成.兼顾市场机制的主要节能发电调度模式比较研究[J].电网技术,2008,32(4):78-85.Shang Jincheng.Comparative research on main energy-saving generation dispatching model considering market mechanism[J].Power System Technology,2008,32(4):78-85(in Chinese).
• [12]侯贸军,罗春辉,隗霖捷,等.基于微分进化算法的水火电短期优化调度的研究[J].电力系统保护与控制,2015,43(9):54-61.Hou Maojun,Luo Chunhui,Wei Linjie,et al.Study on short-term hydrothermal scheduling based on differential evolution[J].Power System Protection and Control,2015,43(9):54-61(in Chinese).
• [13]初壮,于继来.初期电力市场确定电网日发电计划的模型与方法[J].电力系统自动化,2006,30(22):43-47.Chu Zhuang,Yu Jilai.Model and method for daily dispatch scheduling in primary power markets[J].Automation of Electric Power Systems,2006,30(22):43-47(in Chinese).
• [14]涂启玉,蔡华祥.云南电力电量平衡分析[J].云南电力技术,2013,41(3):50-53.Tu Qiyu,Cai Huaxiang.Power balance analysis of Yunnan Province[J].Yunnan Electric Power,2013,41(3):50-53(in Chinese).
• [15]程雄,申建建,程春田,等.大电网平台下抽水蓄能电站群短期多电网启发式调峰方法[J].电力系统自动化,2014,38(9):53-60.Cheng Xiong,Shen Jianjian,Cheng Chuntian,et al.A short-term heuristic method for peak operation of pumped hydroenergy storage plants between multiple power grids on bulk power grid platform[J].Automation of Electric Power Systems,2014,38(9):53-60(in Chinese).
• [16]张程飞,刘纯,王跃峰,等.基于模糊多目标优化的电网日前风电接纳能力评估模型[J].电网技术,2015,39(2):426-431.Zhang Chengfei,Liu Chun,Wang Yuefeng,et al.A fuzzy multiobjective optimization based evaluation model of wind power accommodation capability[J].Power System Technology,2015,39(2):426-431(in Chinese).
• [17]赵嘉玉,韩肖清,梁琛,等.隶属函数与欧氏距离相结合的配电网优化重构[J].电网技术,2017,41(11):3624-3631.Zhao Jiayu,Han Xiaoqing,Liang Chen,et al.Optimal distribution network reconfiguration combining fuzzy membership with euclidean distance[J].Power System Technology,2017,41(11):3624-3631(in Chinese).
• [18]邱宜彬,欧阳誉波,徐蓓,等.基于混合藤Copula模型的风光联合发电相关性建模及其在无功优化中的应用[J].电网技术,2017,41(3):791-798.Qiu Yibin,Ouyang Yubo,Xu Bei,et al.Modeling of multidimensional wind and PV farm output correlation based on mixture vine copula structures and its application in reactive power optimization[J].Power System Technology,2017,41(3):791-798(in Chinese).
• [19]陈守煜.可变模糊集理论与模型及其应用[M].大连:大连理工大学出版社,2009.
• [20]张可村,李换琴.工程优化方法及其应用[M].西安:西安交通大学出版社,2007.
• [21]Eberhart R,Kennedy J.A new optimizer using particle swarm theory[C]//Proceedings of the 6th Micro-Machine and Human Science,October 4-6 1995,Nagoya,Japan:39-43.
• [22]王森,武新宇,程春田,等.自适应混合粒子群算法在梯级水电站群优化调度中的应用[J].水力发电学报,2012,31(1):38-44.Wang Sen,Wu Xinyu,Cheng Chuntian,et al.Application of self-adaptive hybrid particle swarm optimization algorithm to optimal operation of cascade reservoirs[J].Journal of Hydroelectric Engineering,2012,31(1):38-44(in Chinese).
• [23]Wang Y,Zhou J Z,Zhou C.An improved self-adaptive PSO technique for short-term hydrothermal scheduling[J].Expert Systems with Applications.2012,39(3),2288-2295.
• [24]李整,秦金磊,谭文,等.基于目标权重导向多目标粒子群的节能减排电力系统优化调度[J].中国电机工程学报,2015,35(S1):67-74.Li Zheng,Qin Jinlei,Tan Wen,et al.Optimizing schedule for electric power system of energy-saving and emission-reducing based upon objective-weight oriented multi-objective particle swarm optimization[J].Proceedings of the CSEE,2015,35(S1):67-74(in Chinese).
• [25]谢畅,王蓓蓓,赵盛楠,等.基于双层粒子群算法求解电力市场均衡[J].电网技术,2018,42(4):1170-1177.Xie Chang,Wang Beibei,Zhao Shengnan,et al.Equilibrium solution for electricity market based on bi-level particle swarm optimization algorithm[J].Power System Technology,2018,42(4):1170-1177(in Chinese).
• [26]彭文昊,陆俊,冯勇军,等.计及用户参与不确定性的需求响应策略优化方法[J].电网技术,2018,42(5):1588-1594.Peng Wenhao,Lu Jun,Feng Yongjun,et al.A demand response strategy optimization considering user participation uncertainty[J].Power System Technology,2018,42(5):1588-1594(in Chinese).
• [27]Dhillon J S,Parti S C,Kothari D P.Fuzzy decision-making in stochastic multi-objective short-term hydrothermal scheduling[J].IEE Proceedings-Generation,Transmission and Distribution,2002,149(2):191-200.