What do the numbers say about VPP cost-effectiveness without subsidies?
The evidence from multiple studies points to a clear bottom line: virtual power plants can be profitable on their own, without permanent subsidies. A 2023 study of a VPP serving 220 homes in South Korea found that consumers' energy costs dropped by 28%, while the VPP owner earned a 15% rate of return with a payback period under nine years [1]. That return is competitive with many conventional energy investments and does not assume any ongoing subsidy—just market revenues from selling electricity and hydrogen.
Larger-scale studies reinforce this finding. A 2022 case study of an industrial VPP in India's power sector showed operating costs fell by 31.7%, peak demand dropped by 23.59%, and reliability (measured by expected energy not served) improved by 62.3% [3]. These gains came purely from optimized scheduling of solar generation and grid interaction, not from subsidies. Similarly, a 2023 study using cooperative game theory found that VPPs reduced operating costs by 5.75% and environmental costs by 4.46%, while total profit increased by 29.52% [2]—again, all from market-based operations.
What conditions determine whether a VPP can succeed without subsidies?
Profitability without subsidies is not automatic—it depends on how the VPP is structured and what market it operates in. A 2026 techno-economic analysis found that VPPs can be profitable under industry-standard participant compensation in several use cases and multiple markets, but they only provide a compelling value proposition to DER owners in specific retail rate scenarios [5]. In other words, the same VPP design might work in one region's electricity market but fail in another, depending on retail electricity prices and how participants are paid.
The way a VPP handles uncertainty and deviations also matters. A 2023 study on allocating deviation costs (the penalties when actual power output differs from what was scheduled) showed that a fair, game-theory-based cost allocation method can incentivize aggregation and keep the VPP financially stable [6]. Without such mechanisms, deviation penalties could eat into profits. Additionally, a 2023 study using adversarial safe reinforcement learning demonstrated that VPPs can adapt to real-world uncertainties—like fluctuating renewable output and network parameter noise—without needing an accurate model of the environment, which reduces the risk of costly errors [4].
The key takeaway is that VPPs are not a one-size-fits-all solution. They can be cost-effective without permanent subsidies, but success requires careful design of participant compensation, cost allocation, and operational strategies tailored to local market conditions.
About These Sources
This answer is built on 6 peer-reviewed studies — published from 2022 to 2026, 1 from 2024 or later, 2 in Q1 journals, collectively cited 84 times — selected as the most relevant from 6 studies that passed quality screening, drawn from 68 papers retrieved from a database of over 500 million.
Sources used in this answer
Integrating Power to Hydrogen in a Virtual Power Plant: A Cost-Benefit Analysis
In a case study of 220 South Korean homes, a VPP reduced consumer energy costs by 28% and provided a 15% rate of return with a payback period under nine years, without relying on subsidies.
Two-Stage Optimization Scheduling of Virtual Power Plants Considering a User-Virtual Power Plant-Equipment Alliance Game
Using a two-stage optimization model with cooperative game theory, a VPP reduced operating costs by 5.75%, environmental costs by 4.46%, and increased total profit by 29.52%.
Feasibility of Solar Grid-Based Industrial Virtual Power Plant for Optimal Energy Scheduling: A Case of Indian Power Sector
In a case study of an Indian industrial feeder with 90 buses, a VPP reduced operating costs by 31.7%, peak demand by 23.59%, and improved reliability by 62.3% compared to conventional scheduling.
Model-Free Economic Dispatch for Virtual Power Plants: An Adversarial Safe Reinforcement Learning Approach
An adversarial safe reinforcement learning approach enabled VPPs to dispatch power without an accurate environmental model, showing high robustness to network parameter noise and renewable output uncertainty.
Techno-Economic Viability Analysis of Virtual Power Plants
VPPs were profitable under standard participant compensation in several use cases and markets, but only provided a sufficient value proposition to DER owners in specific retail rate scenarios, highlighting the importance of compensation design.
Allocating Ex-post Deviation Cost of Virtual Power Plants in Distribution Networks
A cooperative game-theory-based method for allocating ex-post deviation costs among VPPs ensured cost causation consistency and incentivized aggregation, supporting financial stability.