Multi-Time-Scale Coordinated Optimization for Active Power Distribution Networks

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Solution Overview

Problem

Conventional time-point-based deterministic optimization strategies for active power distribution networks fail to accurately account for massive random and intermittent distributed power supplies, leading to suboptimal scheduling and coordination across different time scales.

Innovation Solution

A multi-time-scale coordinated optimization scheduling method using Model Predictive Control (MPC) that combines long-time-scale optimization with short-time-scale rolling optimization and feedback correction, incorporating predicted values of distributed power supplies and loads to minimize cost and ensure power balance and voltage quality.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If timepoint-based deterministic optimization strategy is used, then optimization scheduling can be implemented, but it cannot meet the access requirement of massive random and intermittent distributed power supplies

Engineering Contradiction:

Improveadaptability to distributed power suppliesVSAvoidoptimization scheduling reliability

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent segments the optimization scheduling into multiple time scales (long-time-scale and short-time-scale) to handle different characteristics of distributed power supplies. The long-time-scale optimization provides deterministic scheduling framework, while the short-time-scale MPC optimization handles random and intermittent variations, thus resolving the contradiction between adaptability and reliability.

Inventive Principle:

Principle #1Segmentation

2Productivity

If multi-time-scale coordinated optimization scheduling is implemented, then resource optimization allocation can be achieved, but the influence of inaccurate prediction about distributed power supplies and loads remains

Engineering Contradiction:

Improveresource optimization allocationVSAvoidprediction accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The patent performs preliminary long-time-scale optimization scheduling to establish a deterministic framework and pre-allocate resources. This preliminary action provides a stable basis that reduces the impact of subsequent prediction inaccuracies in short-time-scale optimization, allowing resource optimization while mitigating prediction errors.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements feedback correction in the MPC-based short-time-scale optimization, where actual measurements of distributed power supplies and loads are fed back to correct prediction deviations. This feedback mechanism continuously adjusts the optimization scheduling to compensate for inaccurate predictions, maintaining resource optimization allocation.

Inventive Principle:

Principle #23Feedback

3Loss of energy

If long-time-scale optimization scheduling is performed, then economic scheduling can be achieved, but voltage quality and power balance at short time scale may be compromised

Engineering Contradiction:

Improveenergy cost minimizationVSAvoidvoltage quality and power balance

Core Design Contradiction:

Loss of energyVSReliability

Solution Approach 1:

The patent segments the optimization into long-time-scale for economic scheduling and short-time-scale for voltage quality and power balance control. The long-time-scale optimization minimizes energy costs by optimizing energy storage charging/discharging and flexible load scheduling, while the short-time-scale MPC optimization ensures voltage quality and power balance by making real-time adjustments based on actual system conditions.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The long-time-scale optimization performs preliminary energy allocation and scheduling decisions, establishing an economic framework. The short-time-scale optimization then refines these decisions to ensure voltage quality and power balance, combining economic efficiency with operational reliability.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS10833508B2Active power distribution network multi-time scale coordinated optimization scheduling method and storage medium

Publication Date: 2020.11.10 CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD

AI summary

An active power distribution network multi-time scale coordinated optimization scheduling method and storage medium are provided. The method includes the following steps: performing long-time scale optimization scheduling of an active power distribution network; performing short-time scale rolling optimization scheduling on the basis of MPC of the active power distribution network according to an optimization result of the long-time scale optimization scheduling of the active power distribution network. By using a model prediction control method, taking the long-time scale optimization scheduling result as a reference, and performing short-time scale rolling correction, the optimization scheduling of the active power distribution network is achieved, thereby reducing unfavorable influences of prediction precision of a distributed power supply and a low-voltage load on the optimization scheduling.