Digitalized New Energy Operation in the Power Market: Background, Scenarios, Spot‑Trading Decision Cases, and Integrated Energy‑Load‑Storage Coordination

The article shares insights on digitalized new‑energy operation within the power‑market environment, outlining four major parts: background, energy‑operation scenarios and data, spot‑trading decision case, and integrated energy‑load‑storage coordinated decision exploration.

Background – Dual‑Carbon Goals and Lian Sheng – To achieve the 2030 carbon‑peak target, 2 billion kW of new‑energy capacity is required, demanding flexible resources to ensure grid stability. The new power system envisions renewable generation as the primary supply, thermal generation as regulation, demand‑side focus, and micro‑grids with distributed generation and storage participating in energy allocation.

The system operates like a siphon: policy and subsidies drive market participants, turning loads into energy producers that interact with the grid, creating significant economic and social impact.

Energy assets involve both physical construction/operation and financial market trading, generating complex decision‑making scenarios such as power‑trading, ancillary services, demand‑response, virtual power plants, V2G, and various B2B/B2C business models.

Energy‑Operation Scenarios and Data – Load‑side resources such as rooftop PV are first introduced. While rooftop PV under self‑consumption offers limited revenue, expanding to a sales‑company model involves wholesale market participation, contract management, and profit sharing.

Other paths include distributed storage for commercial users, integrated park projects with grid‑connected PV and storage, and virtual power‑plant models that coordinate flexibility across multiple assets.

Core objectives of energy operation are revenue increase and cost reduction, achieved through demand analysis, market price discovery, trade declaration decisions, contract delivery, and source‑storage coordination.

Spot‑Trading Decision Case – Spot markets are the most mature scenario, with well‑established digital infrastructure. The case describes batch management of renewable stations, wind‑farm start‑stop control, and achieving leading level cost per MWh.

Key challenges include low wind‑power forecast accuracy (50‑60 %), unreasonable price forecasts, and lack of optimized declaration strategies, leading to high risk and loss.

Three generations of forecasting models are presented: first‑generation deep‑learning weather‑based power prediction, second‑generation refined feature grouping, and third‑generation continuous optimization that incorporates uncertainty via stochastic methods and simulation.

Decision‑making evolves from simple price‑relation analysis to continuous classification, and finally to stochastic optimization that selects declaration plans maximizing expected profit while minimizing loss across the entire operation cycle.

The solution significantly improves spot‑trading decision earnings, as shown in the performance chart.

Integrated Energy‑Load‑Storage Coordinated Decision Exploration – Integrated park scenarios involve multi‑level operation: equipment‑load control, retail/wholesale trade decisions, and rule‑based strategies derived from experience models.

Typical workflow: user profiling → potential & risk analysis → package design → recommendation → post‑signing feedback → benefit evaluation.

Dynamic collaborative optimization includes three rule‑based modes targeting (1) device online rate, (2) storage lifespan, and (3) lowest purchase price, achieving about 5 % energy savings.

Case study shows that, for a 500 million kWh park, the coordinated strategy can generate roughly ¥320 k per year in profit sharing, with additional gains from peak‑valley price differences and demand‑side response.

Overall, Lian Sheng New Energy possesses extensive commercial‑photovoltaic and storage projects, rich device and user data, and a full stack of hardware and software solutions (BMS, EMS, etc.), providing a solid foundation for advanced digital energy operation.

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