namespace PBS.WinFrmUI.Hydro
|
{
|
/// <summary>
|
/// 调度分析辅助类
|
/// </summary>
|
public partial class ScheduleHelper
|
{
|
|
#region ViewModel
|
private class AnalysisConclusionViewModel : AnalysisParameter
|
{
|
public AnalysisConclusionViewModel() { }
|
public AnalysisConclusionViewModel(AnalysisParameter rhs) : base(rhs) { }
|
public AnalysisConclusionViewModel(AnalysisParameter rhs, long flag) : base(rhs)
|
{
|
this.Flag = flag;
|
}
|
public long Flag { get; set; }
|
}
|
#endregion
|
|
#region Private Variable
|
|
private readonly decimal _frequency_min = 25;
|
private readonly decimal _frequency_max = 50;
|
private readonly decimal _frequency_space = 1;//频率间隔
|
|
|
private double _sel_opt_flow_excess = 1;//可选方案的流量余量
|
private readonly double _sel_opt_pump_pressure_excess = 0;//可选方案的单泵扬程默认抬升余量
|
|
private double _sel_opt_flow_deviation_ratio = 0.05;//可选方案的流量偏差比
|
private readonly double _sel_opt_reasonable_flow_deviation_ratio = 0.005;//合理的方案的流量偏差比
|
|
|
|
private int _min_open_count;//最小开泵数量
|
private int _max_open_count;//最大开泵数量
|
private List<int> _current_open_flag_list = null;// 当前开泵列表
|
private List<int> _must_open_flag_list = null; // 必开泵列表
|
private List<int> _must_close_flag_list = null; // 必关泵列表
|
|
|
private AnalysisParameterService _service_analysis_parameter = new AnalysisParameterService();
|
|
#endregion
|
|
|
/// <summary>
|
/// 初始化
|
/// </summary>
|
public void Initial(int min_open_count,int max_open_count)
|
{
|
_current_open_flag_list = null;
|
_min_open_count = min_open_count;
|
_max_open_count = max_open_count;
|
_must_open_flag_list = null;
|
_must_close_flag_list = null;
|
|
}
|
|
|
#region OptAnaCombine
|
|
/// <summary>
|
/// 获取最优组合
|
/// </summary>
|
/// <param name="pump_list"></param>
|
/// <param name="flag_inlet_water_level_dict"></param>
|
/// <param name="target_flow"></param>
|
/// <param name="target_pressure"></param>
|
/// <returns></returns>
|
public async Task<AnaCombine> GetOptAnaCombine
|
(
|
long Id,
|
List<HStation.Vmo.AssetsPumpMainVmo> pump_list,
|
double target_flow,
|
double target_pressure
|
)
|
{
|
|
#region 初始化参数
|
if (pump_list == null || !pump_list.Any())
|
{
|
return default;
|
}
|
|
var current_open_flag_list = _current_open_flag_list;
|
var min_open_count = _min_open_count;
|
var max_open_count = _max_open_count < 1 ? pump_list.Count : _max_open_count;
|
var must_open_flag_list = _must_open_flag_list;
|
var must_close_flag_list = _must_close_flag_list;
|
|
|
var pump_bp_dict = pump_list.ToDictionary(x => x.ID, x=>true);
|
var pump_nr_dict = pump_list.ToDictionary(x => x.ID, x => x.RatedSpeed);
|
var pump_flag_list = pump_list.Select(x => x.ID).ToList();
|
|
var combine_merit_ratio = 1d;//组合择优率
|
|
target_flow = Math.Round(target_flow, 1);
|
target_pressure = Math.Round(target_pressure, 1);
|
|
#endregion
|
|
#region 初始化规则
|
|
#region 存在-必开泵列表
|
|
var must_open_flag_list_remark = string.Empty;
|
var exist_must_open_flag_list = must_open_flag_list != null && must_open_flag_list.Count > 0;
|
if (exist_must_open_flag_list)
|
{
|
must_open_flag_list = must_open_flag_list.OrderBy(x => x).ToList();
|
must_open_flag_list_remark = IntListHelper.ToString(must_open_flag_list);
|
}
|
|
#endregion
|
|
#region 存在-必关泵列表
|
|
var exist_must_close_flag_list = must_close_flag_list != null && must_close_flag_list.Count > 0;
|
|
#endregion
|
|
|
#endregion
|
|
#region 调度分析
|
|
var opt_ana_combine_list = new List<AnaCombine>();
|
for (int pump_count = min_open_count; pump_count <= max_open_count; pump_count++)
|
{
|
if (pump_count == 1)
|
{
|
var max_total_flow = pump_list.Max(x => x.RatedFlow);
|
if (max_total_flow < target_flow)
|
continue;
|
}
|
|
|
|
var combine_list = GetCombineList(pump_flag_list, pump_count);//排列组合
|
foreach (var combine in combine_list)
|
{
|
combine_merit_ratio = 1;
|
|
#region 规则过滤
|
//必开
|
if (exist_must_open_flag_list)
|
{
|
var combine_remark = LongListHelper.ToString(combine.OrderBy(x => x));
|
if (!combine_remark.Contains(must_open_flag_list_remark))
|
continue;
|
}
|
|
|
#endregion
|
|
|
var opt_ana_combine = await GetOptAnaCombine
|
(
|
Id,
|
combine,
|
combine_merit_ratio,
|
pump_nr_dict,
|
pump_bp_dict,
|
target_flow,
|
target_pressure
|
);
|
if (opt_ana_combine == null)
|
continue;
|
opt_ana_combine_list.Add(opt_ana_combine);
|
}
|
|
//如果当前循环已经满足，不需要再加泵
|
if (opt_ana_combine_list.Any())
|
{
|
break;
|
}
|
}
|
|
if (opt_ana_combine_list.Count < 1)
|
return default;
|
|
opt_ana_combine_list = opt_ana_combine_list.OrderBy(x => x.TotalPower).OrderByDescending(x => x.MeritRatio).ToList();
|
var opt = opt_ana_combine_list.First();
|
opt.Round();
|
return opt;
|
|
#endregion
|
|
}
|
|
|
/// <summary>
|
/// 获取最优组合
|
/// </summary>
|
/// <param name="combine"></param>
|
/// <param name="combine_merit_ratio"></param>
|
/// <param name="pump_nr_dict"></param>
|
/// <param name="pump_bp_dict"></param>
|
/// <param name="exist_frequency_limit_list"></param>
|
/// <param name="target_flow"></param>
|
/// <param name="target_pressure"></param>
|
/// <returns></returns>
|
private async Task<AnaCombine> GetOptAnaCombine
|
(
|
long Id,
|
IEnumerable<long> combine,
|
double combine_merit_ratio,
|
Dictionary<long, double> pump_nr_dict,
|
Dictionary<long, bool> pump_bp_dict,
|
double target_flow,
|
double target_pressure
|
)
|
{
|
if (combine == null || !combine.Any())
|
return default;
|
|
//先修正组合曲线和模型的偏差扬程
|
var conclusion_ex_list_list = new List<List<AnalysisConclusionViewModel>>();
|
var conclusion_ex_list_dict = new Dictionary<long, List<AnalysisConclusionViewModel>>();
|
double max_supply_flow = 0;
|
foreach (var flag in combine)
|
{
|
|
//进口水位
|
var inlet_water_level = 0;
|
var current_pressure_diff = target_pressure - inlet_water_level + _sel_opt_pump_pressure_excess;
|
current_pressure_diff = Math.Round(current_pressure_diff, 1);
|
|
|
var conclusion_list = await _service_analysis_parameter.GetList(Id, flag, 38, 50, current_pressure_diff);
|
if (conclusion_list == null || !conclusion_list.Any())
|
{
|
break;
|
}
|
max_supply_flow += conclusion_list.Max(x => x.Flow);
|
var conclusion_ex_list = conclusion_list.Select(x => new AnalysisConclusionViewModel(x, flag)).ToList();
|
conclusion_ex_list_list.Add(conclusion_ex_list);
|
conclusion_ex_list_dict[flag] = conclusion_ex_list;
|
}
|
|
if (conclusion_ex_list_list.Count != combine.Count())
|
return default;
|
|
if (max_supply_flow < target_flow * _sel_opt_flow_excess)
|
{
|
var flow_excess = target_flow * _sel_opt_flow_excess;
|
if (max_supply_flow < flow_excess)
|
return default;
|
}
|
|
var opt_ana_combine = GetOptAnaCombine(conclusion_ex_list_dict, pump_nr_dict, pump_bp_dict, target_flow);
|
if (opt_ana_combine == null)
|
return default;
|
|
var total_flow = opt_ana_combine.TotalFlow;
|
var total_power = opt_ana_combine.TotalPower;
|
if (total_flow < target_flow * _sel_opt_flow_excess)
|
return default;
|
|
|
//var total_flow_deviation_ratio = Math.Abs(1 - Math.Abs(total_flow / target_flow));
|
//if (total_flow_deviation_ratio > _sel_opt_flow_deviation_ratio)
|
// return default;
|
//if (total_flow_deviation_ratio > _sel_opt_reasonable_flow_deviation_ratio)
|
//{
|
// combine_merit_ratio -= total_flow_deviation_ratio;
|
//}
|
|
double eff = 0, wp = 0, uwp = 0;
|
wp = Yw.Pump.CalculationHelper.CalcuWP(total_power, total_flow);
|
foreach (var ana_pump in opt_ana_combine.AnaFrePumps)
|
{
|
var pump_flow = ana_pump.Flow;
|
var pump_eff = ana_pump.Eff;
|
var pump_uwp = ana_pump.UWP;
|
|
eff += pump_eff * pump_flow / total_flow;
|
uwp += pump_uwp * pump_flow / total_flow;
|
}
|
|
opt_ana_combine.TotalFlow = total_flow;
|
opt_ana_combine.TotalPressure = target_pressure;
|
opt_ana_combine.TotalPower = total_power;
|
opt_ana_combine.TotalEfficiency = eff;
|
opt_ana_combine.WP = wp;
|
opt_ana_combine.UWP = uwp;
|
opt_ana_combine.MeritRatio = combine_merit_ratio;
|
return opt_ana_combine;
|
|
}
|
|
|
/// <summary>
|
/// 获取最优组合
|
/// </summary>
|
/// <param name="conclusion_ex_list_dict"></param>
|
/// <param name="pump_nr_dict"></param>
|
/// <param name="pump_bp_dict"></param>
|
/// <param name="target_flow"></param>
|
/// <returns></returns>
|
private AnaCombine GetOptAnaCombine(
|
Dictionary<long, List<AnalysisConclusionViewModel>> conclusion_ex_list_dict,
|
Dictionary<long, double> pump_nr_dict,
|
Dictionary<long, bool> pump_bp_dict,
|
double target_flow
|
)
|
{
|
if (conclusion_ex_list_dict == null || !conclusion_ex_list_dict.Any())
|
return default;
|
var frequency_min = (double)_frequency_min;
|
var frequency_max = (double)_frequency_max;
|
var frequency_space = (double)_frequency_space;
|
|
var all_fre_conclusion_ex_list_list = new List<List<AnalysisConclusionViewModel>>();
|
var all_fix_conclusion_ex_list_list = new List<List<AnalysisConclusionViewModel>>();
|
foreach (var item in conclusion_ex_list_dict)
|
{
|
var flag = item.Key;
|
var cl_list = item.Value;
|
if (pump_bp_dict[flag])
|
{
|
all_fre_conclusion_ex_list_list.Add(cl_list);
|
}
|
else
|
{
|
all_fix_conclusion_ex_list_list.Add(cl_list);
|
}
|
}
|
var cl_ex_list_list_list = new List<List<List<AnalysisConclusionViewModel>>>();
|
|
|
//默认1hz内能求出满足目标需求的排列组合，不满足继续迭代
|
var frequency_iteration_count = 5;//频率迭代次数
|
var frequency_iteration_space = 1d;//频率迭代间隔
|
for (int i = 0; i < frequency_iteration_count; i++)
|
{
|
var current_frequency_space = frequency_space + (i * frequency_iteration_space);
|
cl_ex_list_list_list = FrequencyFilters(target_flow, frequency_min, frequency_max, current_frequency_space, all_fre_conclusion_ex_list_list, all_fix_conclusion_ex_list_list);
|
if (cl_ex_list_list_list.Any())
|
{
|
break;
|
}
|
}
|
|
if (!cl_ex_list_list_list.Any())
|
{
|
return default;
|
}
|
|
//分组排列组合求最优
|
var ana_combine_list = new List<AnaCombine>();
|
foreach (var item_cl_ex_list_list in cl_ex_list_list_list)
|
{
|
var cl_ex_list_list = CartesianProduct(item_cl_ex_list_list, target_flow);
|
var opt_cl_ex_list = cl_ex_list_list.OrderBy(x => x.Sum(x => x.Power)).FirstOrDefault();
|
if (opt_cl_ex_list != null && opt_cl_ex_list.Any())
|
{
|
var ana_combine = new AnaCombine();
|
ana_combine.Flags = new List<long>();
|
ana_combine.AnaFrePumps = new List<AnaFrePump>();
|
foreach (var opt_cl_ex in opt_cl_ex_list)
|
{
|
var flag = opt_cl_ex.Flag;
|
ana_combine.Flags.Add(flag);
|
ana_combine.TotalFlow += opt_cl_ex.Flow;
|
ana_combine.TotalPower += opt_cl_ex.Power;
|
|
var ana_fre_pump = new AnaFrePump();
|
ana_fre_pump.Flag = flag;
|
ana_fre_pump.Flow = opt_cl_ex.Flow;
|
ana_fre_pump.Head = opt_cl_ex.Head;
|
ana_fre_pump.PressureDiff = opt_cl_ex.PressureDiff;
|
ana_fre_pump.Power = opt_cl_ex.Power;
|
ana_fre_pump.Eff = Yw.Pump.CalculationHelper.CalcuE(ana_fre_pump.Flow, ana_fre_pump.Head, ana_fre_pump.Power);
|
ana_fre_pump.WP = Yw.Pump.CalculationHelper.CalcuWP(ana_fre_pump.Power, ana_fre_pump.Flow);
|
ana_fre_pump.UWP = Yw.Pump.CalculationHelper.CalcuUWP(ana_fre_pump.Power, ana_fre_pump.Flow, ana_fre_pump.Head);
|
ana_fre_pump.Frequency = opt_cl_ex.Hz;
|
ana_fre_pump.Speed = opt_cl_ex.Hz / 50 * pump_nr_dict[flag];
|
ana_combine.AnaFrePumps.Add(ana_fre_pump);
|
}
|
|
ana_combine.FlagCount = opt_cl_ex_list.Count;
|
ana_combine.Remark = LongListHelper.ToString(ana_combine.Flags);
|
ana_combine_list.Add(ana_combine);
|
}
|
}
|
if (!ana_combine_list.Any())
|
return default;
|
var opt_ana_combine = ana_combine_list.OrderBy(x => x.TotalPower).First();
|
return opt_ana_combine;
|
}
|
|
|
|
|
/// <summary>
|
/// 过滤频率分组
|
/// </summary>
|
/// <param name="target_flow"></param>
|
/// <param name="frequency_min"></param>
|
/// <param name="frequency_max"></param>
|
/// <param name="frequency_space"></param>
|
/// <param name="all_fre_conclusion_ex_list_list"></param>
|
/// <param name="all_fix_conclusion_ex_list_list"></param>
|
/// <returns></returns>
|
private List<List<List<AnalysisConclusionViewModel>>> FrequencyFilters(
|
double target_flow,
|
double frequency_min,
|
double frequency_max,
|
double frequency_space,
|
List<List<AnalysisConclusionViewModel>> all_fre_conclusion_ex_list_list,
|
List<List<AnalysisConclusionViewModel>> all_fix_conclusion_ex_list_list)
|
{
|
double fix_total_flow = 0;
|
var exist_all_fix_conclusion_ex_list_list = all_fix_conclusion_ex_list_list.Any();
|
if (exist_all_fix_conclusion_ex_list_list)
|
{
|
fix_total_flow = all_fix_conclusion_ex_list_list.Sum(x => x.Sum(x => x.Flow));
|
}
|
|
//频率按间隔分组
|
var cl_ex_list_list_list = new List<List<List<AnalysisConclusionViewModel>>>();
|
for (double fre_current_min = frequency_min; fre_current_min <= frequency_max; fre_current_min++)
|
{
|
var fre_current_max = fre_current_min + frequency_space;
|
var skip_current = false;
|
var total_flow_current = 0d;
|
var cl_ex_list_list = new List<List<AnalysisConclusionViewModel>>();
|
foreach (var conclusion_ex_list in all_fre_conclusion_ex_list_list)
|
{
|
var cl_ex_list = conclusion_ex_list.Where(x => x.Hz <= fre_current_max && x.Hz >= fre_current_min).ToList();
|
if (cl_ex_list == null || !cl_ex_list.Any())
|
{
|
skip_current = true;
|
break;
|
}
|
total_flow_current += cl_ex_list.Max(x => x.Flow);
|
cl_ex_list_list.Add(cl_ex_list);
|
}
|
if (skip_current)
|
continue;
|
if (exist_all_fix_conclusion_ex_list_list)
|
{
|
total_flow_current += fix_total_flow;
|
cl_ex_list_list.AddRange(all_fix_conclusion_ex_list_list);
|
}
|
if (total_flow_current < target_flow * _sel_opt_flow_excess)
|
continue;
|
cl_ex_list_list_list.Add(cl_ex_list_list);
|
}
|
return cl_ex_list_list_list;
|
}
|
|
|
/// <summary>
|
/// 获取排列组合列表(笛卡尔乘积)
|
/// </summary>
|
private List<List<AnalysisConclusionViewModel>> CartesianProduct(List<List<AnalysisConclusionViewModel>> lstSplit, double target_flow)
|
{
|
long count = 1;
|
lstSplit.ForEach(item => count *= item.Count);
|
var lstResult = new List<List<AnalysisConclusionViewModel>>();
|
for (long i = 0; i < count; ++i)
|
{
|
var lstTemp = new List<AnalysisConclusionViewModel>();
|
long j = 1;
|
var lstFre = new List<double>();
|
double totalFlow = 0;
|
lstSplit.ForEach(item =>
|
{
|
j *= item.Count;
|
var index = (i / (count / j)) % item.Count;
|
var index_int = (int)index;
|
var obj = item[index_int];
|
totalFlow += obj.Flow;
|
lstTemp.Add(obj);
|
});
|
if (totalFlow < target_flow * _sel_opt_flow_excess)
|
continue;
|
lstResult.Add(lstTemp);
|
}
|
return lstResult;
|
}
|
|
|
/// <summary>
|
/// 获取排列组合
|
/// </summary>
|
/// <param name="flags"></param>
|
/// <param name="count"></param>
|
/// <returns></returns>
|
private List<long[]> GetCombineList(List<long> flags, int count)
|
{
|
var combine = PermutationAndCombination<long>.GetCombination(flags.ToArray(), count);
|
return combine;
|
}
|
|
|
#endregion
|
|
|
|
}
|
}
|
