Distributed Energy Storage Coordination Under Delayed Grid Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing power grid faces challenges in coordinating distributed energy storage due to delays in data communication, stochastic nature of loads and renewable generation, and spatial and temporal asymmetry in load and generation data, which affects the optimal power flow and efficiency of energy arbitrage and support for renewable distributed generation.
Innovation Solution
A system comprising a global controller and local controllers that use delayed net load data to calculate coordination parameters, allowing for asynchronous communication and control of controllable loads, storage batteries, and renewable energy sources, such as solar panels, to optimize power flow and storage within the power distribution network, using methods like direct storage control, net load following control, and nodal slack control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time data communication is implemented for coordinating distributed energy storage, then optimal power flow and energy arbitrage efficiency are improved, but communication infrastructure complexity and cost increase
Solution Approach 1:
The system performs preliminary calculations of coordination parameters using delayed net load data before real-time execution. The global controller calculates optimal power flow coordination parameters in advance based on available historical data, then applies these pre-calculated parameters to control distributed energy storage systems, eliminating the need for real-time communication during critical control moments.
Solution Approach 2:
The patent introduces coordination parameters as an intermediary that bridges the gap between delayed load data and real-time control needs. These parameters serve as pre-processed control signals that encapsulate optimal control strategies, allowing the system to achieve real-time control performance without requiring real-time data communication infrastructure.
2Productivity
If centralized control with real-time data is used, then optimal power flow is achieved, but system reliability deteriorates due to communication delays and failures
Solution Approach 1:
The control system is segmented into a global controller that handles high-level coordination parameter calculation and local controllers that execute real-time control decisions. Each node operates autonomously using pre-calculated coordination parameters, so communication failures or delays at one node do not propagate to other nodes, maintaining overall system reliability.
Solution Approach 2:
Coordination parameters are calculated in advance using delayed net load data and stored for later execution. This preliminary calculation ensures that control decisions are based on optimized strategies even when real-time communication is unavailable, maintaining system reliability during communication interruptions.
3Reliability
If asynchronous communication is implemented, then system robustness to communication delays is improved, but control precision deteriorates
Solution Approach 1:
The system performs preliminary optimization calculations using delayed net load data to generate coordination parameters that remain valid over time. These pre-calculated parameters are then applied asynchronously at each node without requiring real-time synchronization, maintaining both robustness to communication delays and adequate control precision for distributed energy storage coordination.
Data Source
AI summary
Systems and methods for coordinating distributed energy storage in accordance with embodiments of the invention are illustrated. One embodiment includes a power distribution network, including a set of nodes, wherein a node includes a controllable load, an uncontrollable load, and a local controller, a substation connected to each node in the set of nodes by a set of distribution lines, and a global controller including a processor, a memory, and a communications device, wherein the global controller obtains load parameters from at least one node, calculates coordination parameters for each node based on the obtained load parameters, and asynchronously provides the coordination parameters to each of the nodes in the set of nodes, and wherein each node independently obtains coordination parameters, and controls the operation of its controllable load using the local controller based on the coordination parameters and a local load profile describing at least the uncontrollable load.