Joint energy market design for local integrated energy system service procurement considering demand flexibility

Ge, Shemin; Li, Jifeng; He, Xingtang; Liu, Hong

doi:10.1016/j.apenergy.2021.117060

Cited by 29 publications

(13 citation statements)

References 41 publications

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“…Moreover, aggregators decide on the price of their flexibility traded with the DSO, λ A2D kt , and the price of their flexibility exchanged with their corresponding customers, λ L2A jkt . They can set different prices for different customers (9). Similar to customers, the goal of aggregators is to minimize their costs.…”

Section: Problem Formulationmentioning

confidence: 99%

“…], in [11], a two-stage stochastic programming model is presented to assist the DSO in managing the flexibility provided in the distribution level to minimize the voltage violation and line congestion. The approach presented in [9], joins local electricity, heat, and gas systems to utilize the demand flexibility in an integrated energy system where the operation of electricity market operator, heat market operator, and gas market are coordinated. Ref.…”

Section: Introductionmentioning

confidence: 99%

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Two-Layer Game-Based Framework for Local Energy Flexibility Trading

Ebrahimi

Gazafroudi²,

Laaksonen

et al. 2022

IEEE Access

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A new configuration is required to model the behavior of customers, aggregators, the distribution system operator (DSO), and their interactions due to the active participation of customers in the local flexibility market. To this end, we propose a two-layer game-based framework that models agents' behavior and their interactions. Thus, firstly, at the inner layer, customers and aggregators set their decision variables considering the decisions of each other performing an iterative game. After the inner layer game concludes, in the outer layer, the DSO determines its decision variable according to the decision of aggregators and customers. If the convergence condition is satisfied, the game of the outer layer concludes. Otherwise, there is another inner game and subsequent outer game until the satisfaction of convergence condition. Therefor, customers, aggregators, and the DSO have similar decision-making power. Since all of This article has been accepted for publication in IEEE Access.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Two-Layer Game-Based Framework for Local Energy Flexibility Trading

Ebrahimi

Gazafroudi²,

Laaksonen

et al. 2022

IEEE Access

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“…The EIZ submits bids in the external market to trade energy and sets the internal resources' scheduling by an economic dispatch problem. Reference [18][19][20] further consider the competition of flexible resources inside by introducing internal market, P2P transaction and game theory.…”

Section: Introductionmentioning

confidence: 99%

Mid‐Term Bidding Strategy for an Energy Internet Zone Based on Distributionally Robust Optimization

Liu,

Feng,

Hou

et al. 2023

IEEJ Transactions Elec Engng

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Energy internet zones (EIZ) supply multiple energy carriers to customers in certain regions. They can achieve high energy efficiency by energy cascade utilization. In mid‐term, they participate in the wholesale market and retail market simultaneously. Customers can shift their energy use among different hours and energy carriers to satisfy demand according to the retail prices. Unfortunately, multiple energy systems and markets bring various uncertainties on demand and prices. In this paper, the weekly bidding strategy for the EIZ is proposed to determine the optimal bilateral contracts to sign and the optimal energy retail prices. In retail market, the satisfaction degree and elasticity matrix describe customers' response. Distributionally robust optimization is adopted to consider the distributional uncertainties of random variables and Worst‐case Conditional Value‐at‐Risk is employed for risk management. The distributional uncertainties of pool prices and elasticity matrix are discussed in this paper. An EIZ in Shanghai, China is adopted to illustrate the proposed strategy. The results have great resistance to distributional uncertainties. The risk aversion and satisfaction degree affect the EIZ's strategy in wholesale market and retail market, respectively. © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

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“…In this system, multiple kinds of energy can be converted and stored to meet the demand of users in a cost-effective and highly efficient way [3,4]. Furthermore, as a result of the ever-evolving electricity market operation and the ever-increasing proportion of generation from renewable energy sources (RESs), an increasing number of demand-side resources or load aggregators that meet specified requirements are being encouraged to participate in the bidding-based electricity market operation, which can also provide demand response services or user-side ancillary services at a lower cost than generators [5,6].…”

Section: Introductionmentioning

confidence: 99%

“…Constraint (4) describes the charging and discharging process of the energy storage units, considering the energy loss during injection, withdrawal, and self-dissipation. Constraint (5) implies that the storage unit needs to restore its SOC at the end of the day, supposing that each operation day is identical.…”

mentioning

confidence: 99%

Operation Optimization of an Integrated Energy Service Provider with Ancillary Service Provision

Lai

Xie

et al. 2022

Energies

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During the transition towards a low carbon energy system, and as a result of the increasing penetration of renewable energy generation, ancillary services play an important role in ensuring the security and economics of power system operation. An integrated energy service provider (IESP), with the energy coupling and storage devices inside, can flexibly participate in electric energy markets and ancillary service markets. In this paper, a mixed-integer optimization problem is formulated to determine the optimal operating strategy for the IESP with ancillary service provision. First, the mathematical model of a regional integrated energy system (RIES) is established, including energy coupling devices and energy storage devices. Then, an optimization model for the IESP operation is formulated with the objective of maximizing daily operation profit, and the corresponding optimal capacity of ancillary service provision from the IESP is attained. Finally, case studies of an RIES are carried out to demonstrate the feasibility and effectiveness of the proposed method, and the impacts of the IESP with ancillary service provision on operational characteristics and economic benefits are analyzed.

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Joint energy market design for local integrated energy system service procurement considering demand flexibility

Cited by 29 publications

References 41 publications

Two-Layer Game-Based Framework for Local Energy Flexibility Trading

Two-Layer Game-Based Framework for Local Energy Flexibility Trading

Mid‐Term Bidding Strategy for an Energy Internet Zone Based on Distributionally Robust Optimization

Operation Optimization of an Integrated Energy Service Provider with Ancillary Service Provision

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