Virtual Power Plant Site Selection Using Energy Flow Entropy
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Solution Overview
Problem
Existing research on virtual power plants focuses primarily on economic considerations for device site selection, neglecting safety and energy distribution balance, which affects the stability of the energy network.
Innovation Solution
A multi-device site selection method for integrated energy virtual power plants is developed, using a comprehensive energy flow distribution entropy calculation to optimize device placement and operation, maximizing energy distribution balance through a multi-device site selection optimal planning model that considers power and heat distribution networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If device site selection focuses on economic considerations only, then cost reduction is improved, but safety and energy distribution balance deteriorate
Solution Approach 1:
The patent introduces comprehensive energy flow distribution entropy as a new parameter to evaluate energy distribution balance. By changing the evaluation parameter from purely economic indicators to include entropy-based energy distribution metrics, the system achieves better energy balance without significantly increasing planning complexity
Solution Approach 2:
The patent uses comprehensive energy flow distribution entropy as an intermediary indicator to bridge economic considerations and energy distribution balance. This intermediary parameter allows the optimization model to simultaneously consider both cost factors and energy balance factors in a unified framework
2Reliability
If device site selection considers multiple factors including safety and energy balance, then energy distribution balance is improved, but calculation complexity increases
Solution Approach 1:
The patent transforms multiple qualitative considerations (safety, energy balance, stability) into a single quantitative parameter - comprehensive energy flow distribution entropy. This parameter transformation simplifies the optimization model by converting multi-objective optimization into single-objective optimization while maintaining system reliability
Solution Approach 2:
The comprehensive energy flow distribution entropy serves as a universal indicator that simultaneously reflects safety, energy distribution balance, and system stability. This multi-functional parameter allows the optimization model to consider multiple factors through a single metric, reducing model complexity
3Productivity
If existing planning methods are used, then economic efficiency is improved, but energy network stability deteriorates
Solution Approach 1:
The patent incorporates energy flow distribution entropy as a feedback parameter in the optimization model. By continuously evaluating energy distribution balance through entropy calculations and adjusting device placement decisions based on this feedback, the system achieves both economic efficiency and energy network stability
Solution Approach 2:
The patent changes the optimization objective from purely economic indicators to include energy flow distribution entropy. This parameter change ensures that economic efficiency is achieved while maintaining energy network stability through entropy-based balance considerations
Data Source
AI summary
The present invention discloses a multi-device site selection method for an integrated energy virtual power plant, and belongs to the field of virtual power plants. The multi-device site selection method for an integrated energy virtual power plant includes the following steps: constructing a calculation method for calculating a comprehensive energy flow distribution entropy through power flow distribution in a power distribution network and flow distribution in a heat distribution network, to reflect energy distribution balance in an energy network; under a condition that capacity of each device is known, establishing a multi-device site selection optimal planning model of the integrated energy virtual power plant with a goal of maximizing a comprehensive energy flow distribution entropy index; and determining an installation location of each device of the integrated energy virtual power plant in the energy network, and determining an operating state of each device.