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Commit 86787903 authored by ZZH's avatar ZZH
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fix inv eval 2024-12-31 15:34

parent ab0bf15a
master develop
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Showing with 82 additions and 26 deletions
unify_api/algo/ems/ems.py
View file @ 86787903
......@@ -54,12 +54,12 @@ class EnergyModel:
if m.status == GRB.OPTIMAL:
IOR = IOR.x
irr = calculate_irr(revenue_year, Investment_Cost.getValue(),
max_invest_year)
self.max_invest_year)
if IOR > self.max_invest_year:
return {"Error": f"当前区域的投资回报比（IOR = {IOR:.2f}）高于"
f"设置的投资上限，建议不要投资。"}
else:
result = {
return {
'pv': 0,
'es_p': P_ES.x, 'es_cap': P_ES.x * 2,
'cg': P_CG.x,
......@@ -69,7 +69,6 @@ class EnergyModel:
'cost_kWh': round(cost_kWh, 2),
'irr': irr
}
return result
else:
return {"Error": "当前限制条件不合理"}
......@@ -128,12 +127,13 @@ class EnergyModel:
if m.status == GRB.OPTIMAL:
IOR = IOR.x
irr = calculate_irr(revenue_year.getValue(),
Investment_Cost.getValue(), max_invest_year)
Investment_Cost.getValue(),
self.max_invest_year)
if IOR > self.max_invest_year:
return {"Error": f"当前区域的投资回报比（IOR = {IOR:.2f}）高于"
f"设置的投资上限，建议不要投资。"}
else:
result = {
return {
'pv': P_PV.x,
'es_p': P_ES.x, 'es_cap': P_ES.x * 2,
'cg': P_CG.x,
......@@ -143,7 +143,6 @@ class EnergyModel:
'cost_kWh': round(cost_kWh, 2),
'irr': irr
}
return result
else:
return {"Error": "当前限制条件不合理"}
......@@ -210,11 +209,10 @@ class EnergyModel:
Investment_Cost.getValue(),
max_invest_year)
if IOR > self.max_invest_year:
return {
"Error": f"当前区域的投资回报比（IOR = {IOR:.2f}）高于"
f"设置的投资上限，建议不要投资。"}
return {"Error": f"当前区域的投资回报比（IOR = {IOR:.2f}）"
f"高于设置的投资上限，建议不要投资。"}
else:
result = {
return {
'pv': P_PV.x,
'es_p': P_ES.x, 'es_cap': P_ES.x * 2,
'cg': P_CG.x,
......@@ -224,16 +222,14 @@ class EnergyModel:
'cost_kWh': round(cost_kWh, 2),
'irr': irr
}
return result
except:
rlt_all = ems_model.all_calculate(dict(pv_cost=pv_cost,
sun_hrs_year=sun_hrs_year,
max_load=max_load,
min_load=min_load,
pv_eff=pv_eff,
pv_area=pv_area,
pv_limit=pv_limit))
return rlt_all
return self.all_calculate(dict(pv_cost=pv_cost,
sun_hrs_year=sun_hrs_year,
max_load=max_load,
min_load=min_load,
pv_eff=pv_eff,
pv_area=pv_area,
pv_limit=pv_limit))
def com_strategy(self, d_params):
pv_cost = d_params["pv_cost"]
......@@ -292,12 +288,13 @@ class EnergyModel:
if m.status == GRB.OPTIMAL:
IOR = Investment_Cost.getValue() / revenue_year.getValue()
irr = calculate_irr(revenue_year.getValue(),
Investment_Cost.getValue(), max_invest_year)
Investment_Cost.getValue(),
self.max_invest_year)
if IOR > self.max_invest_year:
return {"Error": f"当前区域的投资回报比（IOR = {IOR:.2f}）高于"
f"设置的投资上限，建议不要投资。"}
else:
result = {
return {
'pv': P_PV.x,
'es_p': P_ES.x,
'es_cap': P_ES.x * 2,
......@@ -308,7 +305,6 @@ class EnergyModel:
'cost_kWh': round(cost_kWh, 2),
'irr': irr
}
return result
else:
return {"Error": "当前限制条件不合理"}
......
unify_api/modules/inv_eval/components/ems_cps.py
View file @ 86787903
......@@ -15,7 +15,8 @@ class EmsInvEvalReq(Model):
es_cost: float = Opt(Float("储能成本 元/kw").eg(1500))
pv_cost: float = Opt(Float("年均负荷(kw)").eg(800))
ele_price: float = Opt(Float("电价").eg(1.4))
cg_cost: float = Opt(Float("煤制气成本加上燃料成本 元/kw").eg(8000))
cg_cost: float = Opt(Float("煤制气设备成本").eg(8000))
cg_fuel_cost: float = Opt(Float("煤制气燃料成本").eg(8000))
sale_price: float = Opt(Float("售电价格").eg(1000))
sale_cost: float = Opt(Float("售电成本价格").eg(0.5))
work_hours_year: float = Opt(Float("每年的工作时长").eg(2000))
......@@ -29,6 +30,8 @@ class EmsInvEvalReq(Model):
sale_limit: float = Opt(Float("售电限制kw*h").eg(100000))
cg_eff: float = Opt(Float("煤制气效率").eg(0.8))
es_eff: float = Opt(Float("充电效率").eg(0.8))
pv_deg_rate: float = Opt(Float("光伏衰减率").eg(0.8))
es_deg_rate: float = Opt(Float("储能衰减率").eg(0.8))
goal: int = Int("1保重要负荷2保所有负荷3可联网售电4综合成本最优").eg(1)
......
unify_api/modules/inv_eval/service/ems_srv.py
View file @ 86787903
......@@ -26,16 +26,22 @@ async def inv_eval(d_params):
sale_price = d_params["sale_price"]
sale_limit = d_params["sale_limit"]
sale_cost = d_params["sale_cost"]
cg_fuel_cost = d_params["cg_fuel_cost"]
pv_deg_rate = d_params["pv_deg_rate"]
es_deg_rate = d_params["es_deg_rate"]
goal = d_params["goal"]
rlt_cfg = {}
ems_model = EnergyModel(dict(load_year=load_year,
imp_load_year=imp_load_year,
es_cost=es_cost, ele_price=ele_price,
cg_cost=cg_cost,
cg_cost=cg_cost, cg_fuel_cost=cg_fuel_cost,
work_hours_year=work_hours_year,
max_invest_year=max_invest_year,
cg_eff=cg_eff, es_eff=es_eff))
cg_eff=cg_eff, es_eff=es_eff,
pv_deg_rate=pv_deg_rate,
es_deg_rate=es_deg_rate
))
if goal == 1:
rlt_cfg = ems_model.cri_calculate()
......
unify_api/modules/inv_eval/views/ems.py
View file @ 86787903
......@@ -4,6 +4,7 @@ DATE：2024/12/30 10:15
"""
from pot_libs.sanic_api import summary
from pot_libs.logger import log
from unify_api.modules.inv_eval.service.ems_srv import inv_eval
from unify_api.modules.inv_eval.components.ems_cps import (
EmsInvEvalReq, EmsInvEvalRsp
......@@ -19,6 +20,7 @@ async def post_inv_eval(req, body: EmsInvEvalReq) -> EmsInvEvalRsp:
pv_cost = body.pv_cost or 0
ele_price = body.ele_price or 0
cg_cost = body.cg_cost or 0
cg_fuel_cost = body.cg_fuel_cost or 0
sale_price = body.sale_price or 0
sale_cost = body.sale_cost or 0
work_hours_year = body.work_hours_year or 0
......@@ -32,16 +34,20 @@ async def post_inv_eval(req, body: EmsInvEvalReq) -> EmsInvEvalRsp:
sale_limit = body.sale_limit or 0
cg_eff = body.cg_eff or 0.8
es_eff = body.es_eff or 0.8
pv_deg_rate = body.pv_deg_rate or 0.6
es_deg_rate = body.es_deg_rate or 2.1
goal = body.goal
d_params = dict(load_year=load_year, imp_load_year=imp_load_year,
es_cost=es_cost, pv_cost=pv_cost, ele_price=ele_price,
cg_cost=cg_cost, work_hours_year=work_hours_year,
cg_cost=cg_cost, cg_fuel_cost=cg_fuel_cost,
work_hours_year=work_hours_year,
max_invest_year=max_invest_year,
cg_eff=cg_eff, es_eff=es_eff,
sun_hrs_year=sun_hrs_year,
max_load=max_load, min_load=min_load,
pv_eff=pv_eff, pv_area=pv_area, pv_limit=pv_limit,
sale_price=sale_price, sale_limit=sale_limit,
pv_deg_rate=pv_deg_rate, es_deg_rate=es_deg_rate,
sale_cost=sale_cost, goal=goal)
cfg = await inv_eval(d_params)
if "Error" in cfg:
......@@ -55,5 +61,50 @@ async def post_inv_eval(req, body: EmsInvEvalReq) -> EmsInvEvalRsp:
irr=cfg.get("irr", 0), ior=cfg.get("ior", 0),
cost_kWh=cfg.get("cost_kWh", 0), )
except Exception as e:
log.error(f"cal ems inv eval error, e:{e}")
return EmsInvEvalRsp(pv=0, es_p=0, es_cap=0, cg=0, income_year=0,
total_inv_cost=0, irr=0, ior=0, cost_kWh=0)
#
# async def main():
# load_year = 2500 # 年均负荷(kw)
# imp_load_year = 1500 # 年均重要负荷(kw)
# es_cost = 1500 # 储能成本 元/kw
# pv_cost = 800 # 光伏成本 元/kw
# ele_price = 1.4 # 电价
# cg_cost = 6000 # 煤制气设备成本元/kw
# cg_fuel_cost = 100 # 煤制气燃料成本元/kw
# sale_price = 50 # 售电价格元
# sale_cost = 0.5 # 售电价格元
# work_hours_year = 2000 # 每年的工作时长为2000小时
# sun_hrs_year = 1300 # 每年的光照时长为1300小时
# max_load = 6000 # kw
# min_load = 1000 # kw
# pv_area = 5000000 # 当前场地的光伏建设面积最大面积平方米
# pv_eff = 0.8 # 光伏效率
# max_invest_year = 5 # 当前投资收益最大限制
# pv_limit = 7000 # 光伏最大限制
# sale_limit = 2400000 # 售电限制kw*h
# pv_deg_rate = 0.6
# es_deg_rate = 2.1
# goal = 4
# d_params = dict(load_year=load_year, imp_load_year=imp_load_year,
# es_cost=es_cost, pv_cost=pv_cost, ele_price=ele_price,
# cg_cost=cg_cost, cg_fuel_cost=cg_fuel_cost,
# work_hours_year=work_hours_year,
# max_invest_year=max_invest_year,
# cg_eff=0.8, es_eff=0.8,
# sun_hrs_year=sun_hrs_year,
# max_load=max_load, min_load=min_load,
# pv_eff=pv_eff, pv_area=pv_area, pv_limit=pv_limit,
# sale_price=sale_price, sale_limit=sale_limit,
# pv_deg_rate=pv_deg_rate, es_deg_rate=es_deg_rate,
# sale_cost=sale_cost, goal=goal)
# cfg = await inv_eval(d_params)
# print(cfg)
#
#
# if __name__ == '__main__':
# import asyncio
#
# asyncio.run(main())
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