Renewable Energy Station Control Optimizing Power Feed

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Solution Overview

Problem

Renewable energy sources with intermittent and fluctuating nature pose challenges for conventional energy sources to maintain stability in electrical distribution networks, leading to operational constraints and voltage/current quality issues, necessitating improved control methods to optimize power delivery.

Innovation Solution

A method for controlling an electrical energy production station with renewable sources and energy accumulation systems, using an optimal module to determine a power profile that maximizes an objective function while adhering to constraints, and a real-time module to adjust the state of charge for compliant power delivery, with a design vector for calibration to ensure maximum power feed with a known confidence index.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Stability of the object's composition

If conventional sources offset the intermittent nature of renewable energy sources, then stability of the electrical distribution network is maintained, but operational constraints and performance degradation occur

Engineering Contradiction:

Improvestability of electrical distribution networkVSAvoidperformance of conventional energy sources

Core Design Contradiction:

Stability of the object's compositionVSProductivity

Solution Approach 1:

The invention uses forecasting methods to predict renewable energy production in advance, allowing the system to prepare offsetting actions beforehand. This preliminary action enables conventional sources to maintain network stability more efficiently by knowing ahead of time when compensation will be needed, reducing reactive operational constraints.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements a feedback mechanism where actual production data from renewable sources is continuously monitored and compared with forecasts. This feedback loop allows conventional energy sources to adjust their operation dynamically, maintaining network stability while optimizing their performance and reducing unnecessary operational constraints.

Inventive Principle:

Principle #23Feedback

2Reliability

If conventional sources offset fluctuations through rapid response, then voltage and current quality is maintained, but reaction time constraints limit effectiveness

Engineering Contradiction:

Improvequality of voltage and currentVSAvoidreaction time of conventional sources

Core Design Contradiction:

ReliabilityVSSpeed

Solution Approach 1:

By forecasting renewable energy production fluctuations in advance, the system allows conventional sources to prepare their response beforehand. This preliminary action reduces the effective reaction time needed during actual fluctuations, enabling faster voltage and current quality maintenance despite the inherent reaction time constraints of conventional sources.

Inventive Principle:

Principle #10Preliminary action

3Ease of manufacture

If renewable energy production stations declare power profiles in advance, then network planning is improved, but inability to guarantee optimum power feed occurs

Engineering Contradiction:

Improvenetwork planning capabilityVSAvoidpower feed into distribution network

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The system uses feedback from actual production data to continuously refine and update power profile declarations. This allows renewable energy stations to maintain the planning benefits of advance declaration while adapting to actual conditions, thereby guaranteeing optimum power feed into the distribution network that was previously unachievable with static declarations.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The power profile declaration system transitions from static to dynamic by allowing continuous updates based on actual production data. This dynamic approach enables the system to maintain network planning advantages while simultaneously optimizing power feed performance, resolving the contradiction between planning ease and productivity.

Inventive Principle:

Principle #15Dynamics

4Reliability

If energy accumulation systems are sized using stochastic approaches, then production-consumption balance is improved, but uncertainty in power delivery prediction persists

Engineering Contradiction:

Improvebalance between production and consumptionVSAvoidconfidence index of power delivery forecast

Core Design Contradiction:

ReliabilityVSMeasurement precision

Solution Approach 1:

The system implements feedback mechanisms that continuously compare actual production data with stochastic forecasts. This feedback allows the system to refine confidence indices and reduce uncertainty in power delivery predictions while maintaining the production-consumption balance benefits of stochastic approaches. The feedback loop progressively improves measurement precision without sacrificing reliability.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS10355486B2Method of controlling an electrical production station

Publication Date: 2019.07.16 SCHNEIDER ELECTRIC IND SAS

AI summary

A method of controlling an electricity production station including at least one renewable energy source and an energy accumulation system, allowing an operator to commit, at an electrical distribution network manager, to a power profile PG that the station will be able to deliver over a forthcoming time period. The declared power profile must, furthermore, comply with constraints imposed by the manager of the electricity distribution network. Non-compliance with this commitment may be subject to penalties. It is then incumbent on the operator to best optimize the method of controlling the electricity production station so as to maximize the electrical power fed into the network, while complying, in so far as possible, over a certain tolerance range, with the power profile commitment PG.