EV Charger-Linked ESS Control for Demand Response and Arbitrage
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Solution Overview
Problem
The challenge lies in maximizing the profit of a Charge Point Operator (CPO) through participation in a demand management market and charging/discharging arbitrage using an energy storage system (ESS) linked to an electric vehicle charging system, while ensuring timely charging of electric vehicles and managing the intermittence of renewable energy sources.
Innovation Solution
A method that involves strategic participation in a demand response market, optimizing the charging and discharging of an ESS linked to electric vehicle chargers, and implementing a promotion operation plan to maximize profits. This includes determining the number of electric vehicles to induce, establishing charging and discharging plans, and using energy stored in the ESS to charge electric vehicles during peak hours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If an ESS is used to participate in demand response markets and perform charging/discharging arbitrage, then the profit of the CPO is maximized, but the system complexity increases
Solution Approach 1:
The patent combines the ESS operation management function with the existing EV charging management system. The server integrates multiple functions including EV charging scheduling, ESS charging/discharging control, and demand response market participation into a unified system, avoiding the need for separate complex systems for each function.
Solution Approach 2:
The server is designed to perform multiple functions: managing EV charging requests, controlling ESS charge/discharge operations, participating in demand response markets, and providing incentive calculations. This multi-functional approach reduces overall system complexity while maximizing CPO profit through diverse revenue streams.
2Productivity
If behavior induction methods such as coupons and reduced charge rates are used to induce EVs to charging stations, then the number of EVs charged increases, but the effectiveness is limited
Solution Approach 1:
The system implements a feedback mechanism where the server calculates and provides incentives to EV users based on their charging behavior and the current state of the ESS. This creates a dynamic incentive system that adapts to real-time conditions, improving the effectiveness of behavior induction compared to static coupon methods.
Solution Approach 2:
The incentive mechanism is dynamic rather than static. The server adjusts incentive amounts based on ESS state of charge, demand response market conditions, and EV charging patterns. This dynamic approach enhances adaptability and effectiveness in inducing EVs to charge at optimal times.
3Productivity
If the ESS charges during light load hours and discharges during peak hours, then electricity rate arbitrage profit is achieved, but the timing precision requirements increase
Solution Approach 1:
The server continuously monitors electricity rate structures, ESS state of charge, and demand response market signals to dynamically adjust charging and discharging schedules. This feedback-based control ensures optimal timing for charge/discharge operations, achieving arbitrage profit while adapting to changing conditions without requiring rigid precise timing.
Solution Approach 2:
The charging and discharging schedule is dynamic rather than fixed. The system adjusts operations based on real-time electricity pricing, ESS state, and market demands, allowing flexibility in timing while maintaining profitability from arbitrage opportunities.
4Speed
If fast demand response is applied in ancillary services, then the response speed to market signals increases, but the control complexity increases
Solution Approach 1:
The patent integrates demand response control functions into the existing EV charging management system. The server that manages EV charging also handles ESS demand response operations, combining multiple control functions into a single system that achieves fast response without requiring separate complex control infrastructure.
Data Source
AI summary
Proposed is a method for electricity market transactions and electric vehicle incentives using an electric vehicle charger-linked electric storage device, a recording medium storing a program for executing the method, and a computer program stored in a recording medium to execute the method. In more detail, proposed are: a method for electricity market transactions and electric vehicle incentives using an electric vehicle charger-linked electric storage device, the method being designed to maximize the profit of a Charge Point Operator (CPO) on the basis of participation in a demand management market (electricity market) of an energy storage system (ESS) linked to an electric vehicle charging system and of charging/discharging arbitrage of an ESS; a recording medium storing a program for executing the method; and a computer program stored in a recording medium to execute the method.