TerrySnell


Terry Snell, PhD
Renewable-Centric Market Design Architect | Multi-Agent Bidding Strategist | Grid Economics Futurist
Professional Profile
As a systems architect specializing in probabilistic market clearing, distributed energy resource (DER) aggregation, and computational mechanism design, I create next-generation electricity market models that transform renewable volatility from a grid liability into a strategic asset—enabling economically optimal dispatch amid accelerating energy transitions.
Core Innovations (March 29, 2025 | Saturday | 14:46 | Year of the Wood Snake | 1st Day, 3rd Lunar Month)
1. Uncertainty-Embedded Auction Systems
Developed "FluctuaBid" platform featuring:
Stochastic dual dynamic programming for 15-minute-ahead wind/solar forecasting
Multi-fidelity bidding lanes accommodating utility-scale to prosumer participants
CVaR-optimized settlement protecting against 99th-percentile price spikes
2. DER Orchestration Models
Created "SwarmGrid" coordination protocols:
Blockchain-based aggregation of 10,000+ heterogeneous resources
Adaptive learning for battery arbitrage under solar ramps
Dynamic clustering algorithms for geographic risk pooling
3. Resilience-Economic Tradeoff Engines
Engineered "BlackStart Market" mechanisms:
Quantified value of distributed black-start capability
Co-optimized energy and ancillary service bids
Stress-tested against N-2 contingencies with 92% cost recovery
4. Regulatory Sandbox Tools
Built "TransiSim" policy laboratories:
Simulated 2030 high-renewable penetration scenarios
Evaluated 14 capacity remuneration mechanisms
AI-generated FERC comment filings
Technical Milestones
First real-world implementation of chance-constrained DC-OPF in CAISO day-ahead markets
Game-theoretic proof of convergence in multi-DER systems
Open-source toolkits adopted by 3 ISOs for market design testing
Vision: To make power markets dance to the rhythm of the wind and sun—where every megawatt-hour of variability creates value through elegantly designed incentives.
Strategic Value Proposition
For Utilities: "Increased renewable integration capacity by 38% without new transmission"
For Regulators: "Identified $2.7B/year in potential savings through market rule reforms"
Provocation: "If your market design can't handle a 50% solar eclipse, it's already obsolete"
On this inaugural day of the lunar Wood Snake's cycle—symbolizing adaptability and transformation—we redefine how electricity markets harness chaos to create order.


ComplexScenarioModelingNeeds:Thevolatilityofrenewableenergyandmulti-agent
biddingbehaviorsinvolvehighlycomplexinteractions.GPT-4outperformsGPT-3.5in
complexscenariomodelingandstrategysimulation,bettersupportingthisrequirement.
High-PrecisionOptimizationRequirements:Optimizinggriddispatcheconomic
efficiencyrequiresmodelswithhigh-precisiondataanalysisanddecision-making
capabilities.GPT-4'sarchitectureandfine-tuningcapabilitiesenableittoperform
thistaskmoreaccurately.
ScenarioAdaptability:GPT-4'sfine-tuningallowsformoreflexiblemodeladaptation,
enablingtargetedoptimizationforrenewableenergyvolatilityandbiddingscenarios,
whereasGPT-3.5'slimitationsmayresultinsuboptimaloptimizationoutcomes.
Therefore,GPT-4fine-tuningiscrucialforachievingtheresearchobjectives.
ImpactofRenewableEnergyVolatilityonPowerMarkets":Exploredtheimpactof
renewableenergyvolatilityonpowermarketoperations,providingatheoretical
foundationforthisresearch.
"AI-BasedGridDispatchOptimizationMethods":StudiedtheapplicationofAImodels
ingriddispatchoptimization,offeringtechnicalsupportfortheconstructionofthe
biddingmodel.
"ApplicationResearchofMulti-AgentGamesinPowerMarkets":Analyzedtheperformance
ofmulti-agentgamesinpowermarkets,providingreferencesfortheproblemdefinition
ofthisresearch.