System Dynamics in Electricity Market Policy and Renewable Energy Integration

System dynamics has emerged as a vital methodology for analysing the complex interplay between regulatory interventions, market behaviour and the integration of variable renewable energy sources. By representing electricity markets as networks of interconnected stocks and flows, this approach captures feedback loops that govern capacity investment, price formation and emission trajectories. Models typically incorporate nonlinear relationships to reflect threshold effects in policy implementation, such as incentive schemes or capacity markets, and to explore system stability under high shares of wind, solar and storage. Such simulations inform policymakers about the timing and scale of interventions required to balance supply security, affordability and decarbonisation goals. Globally, system-dynamics studies have influenced design of feed-in tariffs, auction mechanisms and cross-border trading arrangements, demonstrating how delayed adjustments or policy misfits can amplify price volatility and undermine grid reliability. Practical applications include scenario analysis for small-island grids, regional interconnection projects and national transition pathways, all of which rely on the capacity of system dynamics to reveal unintended consequences and long-term trade-offs.

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System Dynamics in Electricity Market Policy and Renewable Energy Integration publication trend

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Technical terms

System dynamics: A modelling approach that represents complex systems through stocks (accumulations), flows (rates of change) and feedback loops to explore behaviour over time.

Feedback loop: A causal chain in which a change in one variable influences others and eventually feeds back to affect the original variable, driving growth, decline or oscillations.

Stock-flow structure: The organisation of a model into accumulating quantities (stocks) and the rates at which they change (flows), essential for quantifying system memory and inertia.

Variable renewable energy (VRE): Sources such as wind and solar power whose output fluctuates with weather and diurnal cycles, requiring adaptive policy and operational strategies.

Capacity adequacy: The ability of an electricity system to meet peak demand with sufficient generation and reserve margin, influenced by investment decisions and market integration.

References

1. Assessing the speed, extent, and impact of the diffusion of solar PV. Energy Reports (2022).
2. Evaluating the Potential of Variable Renewable Energy for a Balanced Isolated Grid: A Japanese Case Study. Sustainability (2017).
3. A hybrid method of system dynamics and design of experiments for investigating the economic and environmental indicators of electricity industry. Heliyon (2024).
4. Importing from? Capacity adequacy in a European context. The Electricity Journal (2023).