glenn schrooyenandClaude
5ab8622265
- Tomorrow's grid block is drawn to where control stops charging. A cheap run is sized for all batteries together; a slower one is still below `charge_to()` when it ends and control plans the next cheap slots. The tab asks `modetrade.energy()` and `priceruns.plan()` with the packs at the curve's level and extends the run, so the curve charges as long. - Each battery's block ends where it is at its own level (grid) or at the floor (give). The curve puts a point where a battery reaches its charge level inside a step. - `homeview.mode_runs(ahead=f, rp=...)` reads each block at the level the curve has when it starts, with Home's own filter and MIN_KWH: no give block at the floor, no grid block at the planned level. Home never passes either. - `no_tomorrow` names the hour from `solarfc.BELL_FROM_H`, where the curve stops. - test_ux54.py part 7 compares control (`_mode_roles()` every 15 minutes) with the tab with no tolerance, and adds the cloudy / floor case. No decision, command, timing or option key changes. Co-Authored-By: Claude <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Bdqr7PiaHcBnzPituu2yTC
240 lines
9.7 KiB
Python
240 lines
9.7 KiB
Python
"""UX-54: the expected battery level through the day, for the Forecast tab.
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Pure: batteries, the sun and the house's use in; a level per battery over
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time out. Display only: nothing here is read by control, and it never
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decides a block. The blocks are the plan's (`homeview.mode_runs()`); this
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only says where the level goes, hour by hour, if the add-on does what the
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plan says.
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Each step gives every battery a role, as `modetrade.decide()` does (the
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names are modetrade's): in a grid block it charges (CHARGE) and the others
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rest (REST, no charge); else it follows the house (HOUSE) if it is Solar
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first or no price plan is on; inside a give run it covers the house (GIVE);
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else it holds (HOLD, may charge from spare solar, gives nothing). Spare
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solar (sun less the house's use) goes to Solar first batteries first, then
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the rest, by room. A shortfall comes from the batteries that may give,
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those in a give run first, by what they hold above the floor. Charging and
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giving lose `dayplan.EFF`, as the plan counts. A level stays inside the
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floor and ceiling the plan uses, and a battery already outside them does
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not move further out.
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`SolarToday` keeps the site's measured solar per hour, in memory, from the
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reading the control cycle already has. It is shown and never read back
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(TEL-11 keeps site solar out of control).
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"""
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import math
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from datetime import datetime, timedelta, timezone
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from dataclasses import dataclass
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from .dayplan import EFF, _hour_slices, _local
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from .modetrade import CHARGE, GIVE, HOLD, HOUSE, REST
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EPS = 1e-9
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GAP_S = 60.0 # a longer gap between readings is not counted
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MIN_COVER = 0.5 # share of the elapsed hour a reading must cover
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@dataclass(frozen=True)
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class Batt:
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"""One battery that is on, with a level and a capacity."""
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name: str
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capacity_kwh: float
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rating_kw: float
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soc: float # % now
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solar_first: bool # Solar first: follows the house all day
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priced: bool # a price plan is on and its mode is a price mode
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grid: tuple = () # ((start, end, to_pct), ...) grid blocks
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give: tuple = () # ((start, end), ...) give runs
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stop_at: datetime | None = None # a monthly cycle starts: no level after
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def _role(b, t, charging, own):
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"""The battery's role at instant `t`; `own`: it charges from the grid;
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`charging`: some battery does. Returns `(role, may_charge, may_give)`."""
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in_give = any(s <= t < e for s, e in b.give)
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if own:
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return CHARGE, False, False
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if charging:
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return REST, False, b.solar_first or not b.priced or in_give
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if b.solar_first or not b.priced:
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return HOUSE, True, True
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if in_give:
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return GIVE, True, True
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return HOLD, True, False
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def _spread(amount, caps, weights):
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"""Split `amount` over the keys of `caps` by `weights`, none over its
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cap. Returns `(taken, left)`: what each took and what no one could."""
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got = {k: 0.0 for k in caps}
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left = float(amount)
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live = {k for k, c in caps.items() if c > EPS and weights.get(k, 0.0) > 0}
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while left > EPS and live:
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total = sum(weights[k] for k in live)
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used, full = 0.0, set()
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for k in live:
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part = left * weights[k] / total
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room = caps[k] - got[k]
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if part >= room - EPS:
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part = room
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full.add(k)
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got[k] += part
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used += part
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left -= used
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if not full:
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break
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live -= full
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return got, max(0.0, left)
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def curve(batts, start, end, sun_kwh, use_kwh, *, floor_pct, ceiling_pct,
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trust=1.0):
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"""`{name: [(t, pct), ...]}` from `start` (each battery's level now) to
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`end`, a point at every hour edge and every block edge. A battery's list
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stops where `sun_kwh(a, b)` is None (the sun is not known) or its
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`stop_at` comes. `sun_kwh` and `use_kwh` give kWh for the span `[a, b)`.
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Spare solar is `trust x max(0, sun - use)`, and what is stored loses
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`EFF`: `dayplan.plan()`'s own `trust x EFF x max(0, sun - house)`. A
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shortfall is the house's use less the whole sun."""
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floor, ceil = float(floor_pct), float(ceiling_pct)
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cuts = {end}
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for a, _b, _h in _hour_slices(start, end):
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cuts.add(a)
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for b in batts:
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for s, e, *_ in b.grid + b.give:
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cuts.update(x for x in (s, e) if start < x < end)
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cuts.add(start)
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ts = sorted(cuts)
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level = {b.name: float(b.soc) for b in batts}
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out = {b.name: [(start, level[b.name])] for b in batts}
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alive = {b.name for b in batts}
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i = 0
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while i < len(ts) - 1:
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a, z = ts[i], ts[i + 1]
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if not alive:
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break
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sun = sun_kwh(a, z)
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if sun is None:
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break
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for b in batts:
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if b.name in alive and b.stop_at is not None and a >= b.stop_at:
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alive.discard(b.name)
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net = sun - use_kwh(a, z)
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if net > 0.0:
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net *= trust
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hrs = (z - a).total_seconds() / 3600.0
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want = {} # name -> grid target %
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for b in batts:
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if b.name in alive:
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for s, e, to in b.grid:
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if s <= a < e and level[b.name] < to - EPS:
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want[b.name] = float(to)
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by = {b.name: b for b in batts}
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# A battery that reaches its level inside the step gets a point
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# there: the step is cut and read again, so the line is exact.
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cut = None
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for n, to in want.items():
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b = by[n]
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room = (to - level[n]) / 100.0 * b.capacity_kwh
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rate = b.rating_kw * hrs * EFF
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if EPS < room < rate * (1.0 - 1e-9):
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t_r = a + (z - a) * (room / rate)
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if a < t_r < z and (cut is None or t_r < cut):
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cut = t_r
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if cut is not None:
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ts.insert(i + 1, cut)
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continue
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roles = {b.name: _role(b, a, bool(want), b.name in want)
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for b in batts if b.name in alive}
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for n, to in want.items(): # charging from the grid
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b = by[n]
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room = (to - level[n]) / 100.0 * b.capacity_kwh
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level[n] += min(b.rating_kw * hrs * EFF, room) \
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/ b.capacity_kwh * 100.0
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if net > EPS:
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caps = {n: min(by[n].rating_kw * hrs,
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max(0.0, ceil - level[n]) / 100.0
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* by[n].capacity_kwh / EFF)
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for n, r in roles.items() if r[1]}
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first = {n: c for n, c in caps.items() if by[n].solar_first}
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rest = {n: c for n, c in caps.items() if n not in first}
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left = net
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for grp in (first, rest):
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got, left = _spread(left, grp, dict(grp))
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for n, v in got.items():
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level[n] += v * EFF / by[n].capacity_kwh * 100.0
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elif net < -EPS:
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caps = {n: min(by[n].rating_kw * hrs,
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max(0.0, level[n] - floor) / 100.0
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* by[n].capacity_kwh * EFF)
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for n, r in roles.items() if r[2]}
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first = {n: c for n, c in caps.items() if roles[n][0] == GIVE}
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rest = {n: c for n, c in caps.items() if n not in first}
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left = -net
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for grp in (first, rest):
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got, left = _spread(left, grp, dict(grp))
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for n, v in got.items():
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level[n] -= v / EFF / by[n].capacity_kwh * 100.0
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for b in batts:
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if b.name in alive:
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out[b.name].append((z, level[b.name]))
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i += 1
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return out
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# --------------------------------------------------------------------------- #
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# Measured solar, per local hour
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# --------------------------------------------------------------------------- #
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class SolarToday:
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"""The site's solar power, averaged per local hour of one local day. In
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memory only: a restart starts it again, and `first` says from when it
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has counted. Display only."""
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def __init__(self):
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self.day = None
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self.first = None
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self._hours = {} # hour start (UTC) -> [W x s, seconds]
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self._last = None # (time, W)
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def add(self, now: datetime, w) -> None:
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"""One reading (`None`: no reading, which ends the interval)."""
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day = _local(now).date()
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if day != self.day:
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self.day, self.first, self._hours, self._last = day, None, {}, None
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try:
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ok = w is not None and math.isfinite(float(w))
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except (TypeError, ValueError):
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ok = False
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if not ok:
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self._last = None
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return
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w = max(0.0, float(w))
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if self.first is None:
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self.first = now
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if self._last is not None and now > self._last[0]:
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dt = min(GAP_S, (now - self._last[0]).total_seconds())
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key = _hour_start(self._last[0])
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row = self._hours.setdefault(key, [0.0, 0.0])
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row[0] += (self._last[1] + w) / 2.0 * dt
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row[1] += dt
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self._last = (now, w)
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def kwh(self, start: datetime, end: datetime, now: datetime):
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"""kWh for the hour `[start, end)` up to `now`: the mean power it was
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read at over the part of the hour that has passed, or None when the
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readings cover under half of that part (or none has passed)."""
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if self.day != _local(now).date():
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return None
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over = (min(end, now) - start).total_seconds()
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row = self._hours.get(start)
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if over <= 0 or row is None or row[1] < MIN_COVER * over:
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return None
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return row[0] / row[1] * over / 3.6e6
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def _hour_start(t: datetime) -> datetime:
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lt = _local(t)
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return lt.replace(minute=0, second=0, microsecond=0).astimezone(
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timezone.utc)
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