刘晓,王洪伟
LIU Xiao,WANG Hongwei

• 1:国网山东省电力公司济南供电公司
• 2:国网山东省电力公司

摘要(Abstract)：

对于含高比例风电的并网型农业配电网,如何在满足农业用电负荷和灌溉用水负荷的基础上,优化调度各类设备以应对不确定性风险及平抑随机波动性等具有重要的研究意义。通过构建评估风电不确定性的功率不足期望指标,提出一种基于抽水蓄能的水-电耦合农业配电网风险规避优化调度方法,提高农村地区电能分配与使用效率,实现农业配电网安全稳定运行。利用进化捕食策略算法对含复杂等式约束与不等式约束的水-电耦合农业配电网优化模型进行仿真计算,结果表明所提出的方法能够有效地规避不确定性风险,提高风电的利用效率,平滑系统净负荷曲线。
For grid-connected agricultural distribution networks with a high proportion of wind power,it is pivotal to study how to optimally dispatch various types of equipment to cope with uncertain risks and smooth out random fluctuations based on meeting the demand of agricultural electricity load and irrigation water load. By constructing an expectation index of power deficit for evaluating wind power uncertainty,the paper proposes an optimal risk-averse dispatching method for power-water coupled agricultural distribution networks based on pumped storage to improve the efficiency of electric energy distribution and use in rural areas and realize the safe and stable operation of agricultural distribution networks. Simulations of the optimization model of the water-power coupled agricultural distribution networks with complex equation constraints and inequality constraints are carried out using the evolutionary predator and prey strategy(EPPS),and the results show that the proposed method can effectively avoid uncertain risks,improve the utilization efficiency of wind power,and smooth the net load curve of the system.

关键词(KeyWords)： 农业配电网;抽水蓄能;风险规避;水-电耦合;不确定性风电
agricultural distribution networks;pumped storage;risk aversion;water-power coupling;uncertain wind power

Abstract:

Keywords:

基金项目(Foundation): 国网山东省电力公司科技项目（5206002000PW）

作者(Author): 刘晓,王洪伟
LIU Xiao,WANG Hongwei

DOI: 10.19585/j.zjdl.202201007

参考文献(References)：

• [1]GHASEMI A.Coordination of pumped-storage unit and irrigation system with intermittent wind generation for intelligent energy management of an agricultural microgrid[J].Energy,2018,142:1-13.
• [2]ZHANG M Y,CHEN J J,YANG Z J,et al.Stochastic day-ahead scheduling of irrigation system integrated agricultural microgrid with pumped storage and uncertain wind power[J].Energy,2021:121638.
• [3]赵凤展，张启承，张宇，等.基于VMD-MPC法的并网型微电网多时间尺度能量协调优化调度[J].农业工程学报，2021,37(7):190-198.
• [4]RAGHAV L P,KUMAR R S,RAJU D K,et al.Optimal energy management of microgrids using quantum teaching learning based algorithm[J].IEEE Transactions on Smart Grid,2021,12(6):4834-4842.
• [5]张永明，丁宝，傅卫东，等.基于直流配电与直流微网的电气节能研究[J].电工技术学报，2015,30（增刊1):389-397.
• [6]MOUSAVI N,KOTHAPALLI G,HABIBI D,et al.Modelling,design,and experimental validation of a gridconnected farmhouse comprising a photovoltaic and a pumped hydro storage system[J].Energy Conversion and Management,2020,210:112675.
• [7]符杨，张智泉，李振坤，等.基于二阶段鲁棒博弈模型的微电网群及混合交直流配电系统协调能量管理策略研究[J].中国电机工程学报，2020,40(4):1226-1240.
• [8]肖白，于龙泽，刘洪波，等.基于生成虚拟净负荷的多能源电力系统日前优化调度[J/OL].中国电机工程学报，2021:1-13[2021-08-17].http：//kns.cnki.net/kcms/detail/11.2107.TM.20210406.1414.010.html.
• [9]WANG S,LIU J,CHEN H,et al.Modeling state transition and head-dependent efficiency curve for pumped storage Hydro in look-ahead dispatch[J].IEEE Transactions on Power Systems,2021,99:1.
• [10]CHEN J J,ZHUANG Y B,LI Y Z,et al.Risk-aware short term hydro-wind-thermal scheduling using a probability interval optimization model[J].Applied energy,2017,189:534-554.
• [11]MOUSAVI N,KOTHAPALLI G,HABIBI D,et al.Anovel photovoltaic-pumped hydro storage microgrid applicable to rural areas[J].Applied Energy,2020,262:114284.
• [12]张虹，马鸿君，闫贺，等.计及WCVa R评估的微电网供需协同两阶段日前优化调度[J].电力系统自动化，2021,45(2):55-63.
• [13]GARCIA-TORRES F,BORDONS C,TOBAJAS J,et al.Stochastic optimization of microgrids with hybrid energy storage systems for grid flexibility services considering energy forecast uncertainties[J].IEEE Transactions on Power Systems,2021,99:1.
• [14]CHEN J J,WU Q H,JI T Y,et al.Evolutionary predator and prey strategy for global optimization[J].Information Sciences,2016,327:217-232.
• [15]CHEN J J,QI B X,PENG K,et al.Conditional value-atcredibility for random fuzzy wind power in demand response integrated multi-period economic emission dispatch[J].Applied Energy,2020,261:114337.
• [16]WANG J,SHAHIDEHPOUR M,LI Z.Securityconstrained unit commitment with volatile wind power generation[J].2009 IEEE Transactions on Power Systems,2009,1.
• [17]CHEN J J,ZHAO Y L,PENG K,et al.Optimal trade-off planning for wind-solar power day-ahead scheduling under uncertainties[J].Energy,2017,141:1969-1981.
• [18]ABDI H,DEHNAVI E,MOHAMMADI F.Dynamic economic dispatch problem integrated with demand response(DEDDR)considering non-linear responsive load models[J].IEEE Transactions on Smart Grid,2015,7(6):2586-2595.