Electricity-Heat Scheduling Using a Heat Supply Phasor Model
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Solution Overview
Problem
Existing methods for scheduling electricity-heat multi-energy flow systems fail to accurately account for the dynamic characteristics of heat supply systems, leading to suboptimal scheduling results.
Innovation Solution
An optimal scheduling method is developed based on a heat supply phasor model, converting load power and setting constraint conditions in phasor form to accurately model the dynamic characteristics of the heat supply system, using interior point method to solve for optimal power and heat generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a steady-state model is used for heat supply system scheduling, then the calculation complexity is reduced, but the accuracy of scheduling results deteriorates due to ignoring dynamic characteristics
Solution Approach 1:
The patent applies the dynamics principle by transforming the static steady-state heat supply model into a dynamic phasor model that captures time-varying characteristics. The heat supply system is modeled using differential equations that represent the dynamic thermal processes, allowing the scheduling algorithm to account for transient behaviors and time-dependent parameters while maintaining computational tractability through phasor domain transformation.
2Measurement precision
If a dynamic process model is introduced to improve scheduling accuracy, then the accuracy of scheduling results is improved, but the complexity of the system model increases
Solution Approach 1:
The patent applies mechanics substitution by replacing the traditional time-domain dynamic model with a phasor-domain model. The dynamic differential equations are transformed into algebraic equations in the phasor domain, substituting complex time-varying analysis with frequency-domain analysis. This substitution maintains the dynamic characteristics while significantly reducing computational complexity and enabling more efficient optimization algorithms.
3Use of energy by moving object
If the interconnection between electricity and heat systems is enhanced through coupling elements, then the energy utilization efficiency is improved, but the system complexity increases making traditional independent analysis methods inadequate
Solution Approach 1:
The patent applies the merging principle by integrating the electricity and heat system models into a unified electricity-heat coupled model. The coupling elements (cogeneration units, heat pumps, electric boilers) are incorporated as interconnected components in a single optimization framework. This merging allows simultaneous optimization of both energy systems, capturing their interactions and enabling coordinated scheduling that improves overall energy utilization while managing system complexity through a unified mathematical formulation.
Data Source
AI summary
An optimal scheduling method of an electricity-heat multi-energy flow system based on a heat supply phasor model is provided. The method considers a mutual influence of the electricity-heat system, establishes a constraint equation of a heat supply system in a phasor form, considers dynamic characteristics of the heat supply system, and realizes an optimal scheduling of the electricity-heat multi-energy flow system.