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.

Tall wind turbines rise above an open field, under a sky filled with scattered clouds. The foreground shows a textured earth surface, likely a field or farmland. Several turbines are visible, with the closest one towering over the landscape, suggesting a focus on renewable energy.
Tall wind turbines rise above an open field, under a sky filled with scattered clouds. The foreground shows a textured earth surface, likely a field or farmland. Several turbines are visible, with the closest one towering over the landscape, suggesting a focus on renewable energy.

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.

A lush, green landscape filled with clusters of trees. The trees have a mixture of vibrant green and some brownish hues, suggesting varying stages of life or seasons. In the distant horizon, wind turbines are visible beneath a bright blue sky scattered with fluffy clouds, indicating renewable energy usage.
A lush, green landscape filled with clusters of trees. The trees have a mixture of vibrant green and some brownish hues, suggesting varying stages of life or seasons. In the distant horizon, wind turbines are visible beneath a bright blue sky scattered with fluffy clouds, indicating renewable energy usage.

ImpactofRenewableEnergyVolatilityonPowerMarkets":Exploredtheimpactof

renewableenergyvolatilityonpowermarketoperations,providingatheoretical

foundationforthisresearch.

"AI-BasedGridDispatchOptimizationMethods":StudiedtheapplicationofAImodels

ingriddispatchoptimization,offeringtechnicalsupportfortheconstructionofthe

biddingmodel.

"ApplicationResearchofMulti-AgentGamesinPowerMarkets":Analyzedtheperformance

ofmulti-agentgamesinpowermarkets,providingreferencesfortheproblemdefinition

ofthisresearch.