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DP-Based Optimization of BESS to Substitute RICE Reserves for Improved Economic Benefits

Conference · · 2023 IEEE Energy Conversion Congress and Exposition (ECCE)
 [1];  [1];  [2];  [3];  [1]
  1. Northeastern University,Dept. of Electrical & Computer Engineering,Boston,USA
  2. Florida State University,Dept. of Electrical & Computer Engineering,Tallahassee,USA
  3. Resource Planning City of Tallahassee Electric & Gas Utility,Tallahassee,USA
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In regions with a significant proportion of renewable energy sources, reciprocating internal combustion engines (RICE or IC) are frequently employed as grid reserve solutions. This study suggests a scheduling technique for battery energy storage systems (BESS) that utilizes dynamic programming (DP) to replace IC units, adding versatility to the total reserve capacity and resulting in higher BESS earnings compared to traditional scheduling approaches. The capacity sweeping approach to optimize BESS’s revenue sometimes leads to operation which is counter intuitive to conventional battery sizing approaches.

Research Organization:
Northeastern Univ., Boston, MA (United States)
Sponsoring Organization:
USDOE
DOE Contract Number:
EE0009340
OSTI ID:
2280432
Journal Information:
2023 IEEE Energy Conversion Congress and Exposition (ECCE), Conference: 2023 IEEE Energy Conversion Congress and Exposition (ECCE), Nashville, TN, USA, 29 October 2023 - 02 November 2023
Country of Publication:
United States
Language:
English

References (8)

Rule-Based Control of Battery Energy Storage for Dispatching Intermittent Renewable Sources journal October 2010
Power-Electronics-Based Energy Management System With Storage journal January 2016
A Discrete-Time Algorithm for Real Time Energy Management in DC Microgrids journal March 2023
Multilevel Energy Management of a DC Microgrid Based on Virtual-Battery Model Considering Voltage Regulation and Economic Optimization journal June 2021
Optimization and Implementation of a Load Control Scheduler Using Relaxed Dynamic Programming for Large Air Conditioner Loads journal May 2008
Economically Optimal Power Flow Management of Grid-Connected Photovoltaic Microgrid Based on Dynamic Programming Algorithm and Grid I/O Strategy for Different Weather Scenarios conference March 2019
Optimal Power Management for Grid-Connected Microgrid Considering Modelling of Different Electricity Cost and Battery Degradation Cost conference June 2019
Artificial Neural Network Based Particle Swarm Optimization for Microgrid Optimal Energy Scheduling journal November 2021

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Related Subjects

25 ENERGY STORAGE
Load scheduling
dynamic programming
BESS
renewable energy sources
energy arbitrage.