pith:7YSVMO7O
State constrained stochastic optimal control of a PV system with battery storage via Fokker-Planck and Hamilton-Jacobi-Bellman equations
Decomposing state space into controllable and uncontrollable parts reduces the HJB-FP system for PV battery control
arxiv:2506.11765 v2 · 2025-06-13 · math.OC
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Claims
Numerical results show that the reduced formulations achieve substantial computational savings, enabling real-time applicability without significant loss of performance.
Decomposing the state space into controllable and uncontrollable components yields lower-dimensional optimality systems while preserving the continuous-time Dynamic Programming structure and the optimality of the resulting policy.
A dimension-reduced HJB-FP stochastic control formulation for joint day-ahead bidding and real-time battery operation in PV systems with storage.
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Receipt and verification
| First computed | 2026-06-02T02:04:06.632635Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fe25563bee5108fdcb973dcafa64400c4a413c6803078d24539731d70c8cacd6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/7YSVMO7OKEEP3S4XHXFPUZCABR \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: fe25563bee5108fdcb973dcafa64400c4a413c6803078d24539731d70c8cacd6
Canonical record JSON
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