Abstract

Energy storage system (ESS) can play a positive role in the power system due to its ability to store, charge and discharge energy. Additionally, it can be installed in various capacities, so it can be used in the transmission and distribution system and even at home. In this paper, the proposed algorithm for economic optimal scheduling of ESS linked to transmission systems in the Korean electricity market is proposed and incorporated into the BESS (battery energy storage system) demonstration test center. The proposed algorithm considers the energy arbitrage operation through SMP (system marginal price) and operation considering the REC (renewable energy certification) weight of the connected wind farm and frequency regulation service. In addition, the proposed algorithm was developed so that the SOC (state-of-charge) of the ESS could be separated into two virtual SOCs to participate in different markets and generate revenue. The proposed algorithm was simulated and verified through Matlab and loaded into the demonstration system using the Matlab “Runtime” function.

Highlights

  • Energy storage system (ESS) is capable of storing electric energy, and is capable of charging and discharging, so that it can be used in many aspects of power systems, such as system operators or consumers

  • It can be used as micro grid power/demand balance, frequency regulation, black start function in conjunction with micro grid, and it can be used as UPS, peak reduction/shifting, DR in behind-the-meter [1]

  • In even when the renewable energy certification (REC) weighting is in operation, the discharge amount is set to the amount of time

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Summary

Introduction

ESS (energy storage system) is capable of storing electric energy, and is capable of charging and discharging, so that it can be used in many aspects of power systems, such as system operators or consumers. When considering the economic return through ESS, it plays a different role depending on the participating market [2] and the role of ESS, which is a price-maker, as a price-maker to help lower the LMP (Locational Marginal Price) power price in the system, in response to the electricity price set by the price-taker [3], and a method for operating the LMP price so that the output uncertainty of the renewable energy is reduced [4]. The maximum discharge capacity exceeds 10 MW and the maximum operating time is more than 2 h It is an ESS for frequency regulation service on a separate basis in KPX market rule.

Arbitrage
Frequency Regulation
Renewable Energy Support
Description
Objective Function
Constraints
Simulation Results
Scenario 1
Scenario 2
Figure
Scenario
Results
14. Figure
Conclusions
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