# Optimal Forward Trading and Battery Control Under Renewable Electricity Generation

## TL;DR

This paper develops an algorithmic strategy for managing battery storage and forward trading to mitigate renewable energy variability and analyze how battery tech influences market trading behavior.

## Contribution

It introduces a novel algorithmic approach for battery and trading control under renewable energy fluctuations and examines the impact of battery technology on trading strategies.

## Key findings

- Effective control algorithms for battery and trading management.
- Battery technology significantly influences trading behavior.
- Reduction in electricity price volatility through optimized control.

## Abstract

The increased market penetration of renewable energy sources and the rapid development of electric battery storage technologies yield a potential for reducing electricity price volatility while maintaining stability of the power grid. This work presents an algorithmic approach to control battery levels and forward positions to optimally manage power output fluctuations caused by intermittent renewable energy generation. This paper will also explore the effect of battery technology on the firm's optimal trading behaviour in the electricity spot market.