Power Grid Dispatch Model for Renewable Curtailment Control

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Solution Overview

Problem

Developing and developed countries face challenges in integrating renewable energy sources into power grids, including increased electricity tariffs, load shedding, unpredictable outages, complex frequency regulations, and environmental concerns, with overgeneration leading to grid instability and negative pricing, resulting in renewable energy curtailment and financial losses.

Innovation Solution

A dynamic-adaptive multi-objective dispatch model that integrates thermal and renewable generation resources, using a multi-objective optimization method to maximize renewable energy use while minimizing curtailment, by executing an optimization algorithm with an energy dispatch model to control energy generation resources and ensure system reliability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If renewable energy sources are integrated into the power grid, then environmental benefits and energy diversity are improved, but grid stability and frequency regulation deteriorate due to unpredictable outages and overgeneration

Engineering Contradiction:

Improverenewable energy integrationVSAvoidgrid stability

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements dynamic control of renewable energy sources by adjusting their power output in real-time based on grid conditions. The system dynamically modifies the operational state of renewable generators to maintain frequency and voltage stability while maximizing renewable energy utilization, resolving the contradiction between adaptability and reliability.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system employs feedback mechanisms by continuously monitoring grid frequency, voltage, and power balance, then using this information to adjust renewable energy source operations. The optimization algorithm receives real-time grid state feedback and dynamically adjusts dispatch decisions to maintain stability while integrating renewable sources.

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If renewable energy sources are integrated into the power grid, then environmental benefits are improved, but operational complexity and curtailment risks worsen due to overgeneration and unpredictable output

Engineering Contradiction:

Improverenewable energy integrationVSAvoidoperational complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The optimization algorithm serves multiple functions simultaneously: it maximizes renewable energy utilization, maintains grid stability, minimizes curtailment, and handles various operational constraints. This multi-functional approach reduces operational complexity by consolidating multiple control objectives into a single unified optimization framework.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system changes operational parameters dynamically by adjusting the power output of renewable energy sources based on real-time grid conditions. The optimization algorithm modifies dispatch parameters to balance renewable integration goals with operational constraints, reducing complexity through adaptive parameter adjustment rather than fixed operational rules.

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If renewable energy sources are integrated into the power grid, then energy diversity is improved, but financial performance deteriorates due to negative pricing and curtailment losses

Engineering Contradiction:

Improverenewable energy integrationVSAvoidcurtailment losses

Core Design Contradiction:

Adaptability or versatilityVSLoss of energy

Solution Approach 1:

The optimization algorithm performs preliminary actions by proactively adjusting renewable energy dispatch decisions before overgeneration and negative pricing conditions occur. By predicting grid conditions and pre-adjusting renewable output, the system minimizes curtailment losses and avoids negative pricing scenarios, improving financial performance while maintaining renewable integration.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250253671A1Managing energy sources in a power grid

Publication Date: 2025.08.07 SAUDI ARABIAN OIL CO

AI summary

Example implementations of managing a power grid include identifying a plurality of energy generation resources electrically coupled within a power grid; identifying at least one renewable energy source within the plurality of energy generation resources electrically coupled within the power grid; inputting grid and energy source data from the identified plurality of energy generation resources into the energy dispatch model; executing an optimization algorithm with the energy dispatch model to optimize at least one objective function; determining at least one energy system control command based on the executed optimization model; and controlling the plurality of energy generation resources to maximize a power output of the at least one renewable energy source based on the executed energy dispatch model.