The value of storage in electricity distribution: The role of storage

2025-10-14

AI Summary

In deregulated electricity markets, distribution utilities face a “build-but-not-use” dilemma for battery energy storage systems (BESS), as regulatory constraints limit their operational flexibility and economic viability. Method: This paper develops the first integrated investment–operation optimization model for distribution-level BESS that explicitly incorporates market participation constraints. Contribution/Results: Under current regulation, BESS deployment is solely justified for peak shaving to defer grid upgrades; permitting market participation enables comparable revenue but fails to incentivize new investment at today’s cost levels. However, with substantial future cost reductions, BESS deployment may exceed local needs—potentially undermining the generation–distribution separation principle. Quantitative case studies based on the Massachusetts distribution system demonstrate that regulatory relaxation—though not altering near-term investment decisions—significantly improves asset utilization and overall system economics. The findings provide both theoretical grounding and empirical evidence for unlocking cross-market BESS value and informing regulatory reform.

Technology Category

• Search and Optimization: Distributed Search
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• Economics, Online Markets and Human Computation: The sharing economy
• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Security and Privacy: Blockchains and distributed ledgers

Abstract

Electricity distribution companies deploy battery storage to defer grid upgrades by reducing peak demand. In deregulated jurisdictions, such storage often sits idle because regulatory constraints bar participation in electricity markets. Here, we develop an optimization framework that, to our knowledge, provides the first formal model of market participation constraints within storage investment and operation planning. Applying the framework to a Massachusetts case study, we find that market participation could deliver similar savings as peak demand reduction. Under current conditions, market participation does not increase storage investment, but at very low storage costs, could incentivize deployment beyond local distribution needs. This might run contrary to the separation of distribution from generation in deregulated markets. Our framework can identify investment levels appropriate for local distribution needs.

Problem

• Modeling market participation constraints in storage planning
• Evaluating storage value from market participation versus peak reduction
• Assessing investment levels appropriate for local distribution needs

Innovation

• Optimization framework models market participation constraints
• Market participation provides savings comparable to peak reduction
• Identifies appropriate storage investment levels for local needs