Participation of an Energy Hub in Electricity and Heat Distribution Markets: An MPEC Approach

Li, Rui; Wei, Wei; Mei, Shengwei; Hu, Qinran; Wu, Qiuwei

doi:10.1109/tsg.2018.2833279

Cited by 207 publications

(138 citation statements)

References 56 publications

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“…The profit made by the participation of EB in the DSM program is calculated by (14). Equation (18) describes the relation between the consumed amount of electric and thermal power generated by the thermal pump. In addition, (19) represents limits on the thermal generation.…”

Section: ) Constraints Of Ebmentioning

confidence: 99%

“…In this paper, the energy-hub manager is modeled at the first level, while the clients are modeled at the second level. A mathematical program that uses an equilibrium constraint framework to model the strategic behaviors of multicarrier energy systems is proposed in [18]. In [19], the authors provide an operation optimization model for electricity, natural gas, and heat systems by considering DSM as well as ES.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Valinejad

Marzband

Korkali

et al. 2020

Journal of Modern Power Systems and Clean Energy

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Power grids include entities such as home-microgrids (H-MGs), consumers, and retailers, each of which has a unique and sometimes contradictory objective compared with others while exchanging electricity and heat with other H-MGs. Therefore, there is the need for a smart structure to handle the new situation. This paper proposes a bilevel hierarchical structure for designing and planning distributed energy resources (DERs) and energy storage in H-MGs by considering the demand response (DR). In general, the upper-level structure is based on H-MG generation competition to maximize their individual and/or group income in the process of forming a coalition with other H-MGs. The upper-level problem is decomposed into a set of low-level market clearing problems. Both electricity and heat markets are simultaneously modeled in this paper. DERs, including wind turbines (WTs), combined heat and power (CHP) systems, electric boilers (EBs), electric heat pumps (EHPs), and electric energy storage systems, participate in the electricity markets. In addition, CHP systems, gas boilers (GBs), EBs, EHPs, solar thermal panels, and thermal energy storage systems participate in the heat market. Results show that the formation of a coalition among H-MGs present in one grid will not only have a significant effect on programming and regulating the value of the power generated by the generation resources, but also impact the demand consumption and behavior of consumers participating in the DR program with a cheaper market clearing price.

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Section: ) Constraints Of Ebmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Valinejad

Marzband

Korkali

et al. 2020

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

show abstract

“…This option also allows the system to convert diverse types of energy to each other by means of storage which further increases the provided flexibility. For sectoral integration, market frameworks need to be revised in order to allow the consumer to optimize and choose the ideal type of energy resource [157][158][159][160].…”

Section: Sectoral Integrationmentioning

confidence: 99%

Power system flexibility: an overview of emergence to evolution

Akrami

Doostizadeh

Aminifar

2019

J. Mod. Power Syst. Clean Energy

144

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Power systems are evolving to the networks with proliferated penetration of renewable energy resources to leverage their environmental and economic advantages. However, due to the stochastic nature of renewables, the management of the rapidly increasing uncertainty and variability in power system planning and operation is of crucial significance. This paper represents a comprehensive overview of power system flexibility as an effective way to maintain the power balance at every moment. Definitions of power system flexibility from various aspects are explained to reach the reliable and economic planning and operation of the power system. The effects of the high penetration of variable energy resources on power systems and the evolution of flexibility in response to renewables are studied. A variety of resources during the flexibility evolutionary transition are introduced and discussed. As an influential flexibility solution in current power systems integrated with renewable resources, market design improvement is widely reviewed in this paper, and required modifications in market design mechanisms are investigated pertaining to various time horizons.

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“…A VPP offers the joint coordination of DGs and flexible loads to mitigate unwelcome power fluctuations of renewables and demands [8]. EHs, by integrating electricity, thermal energy, natural gas, etc., provide high flexibility for the electricity consumers to choose the best source of energy, which guarantees the environmental costeffectiveness [9], [10]. However, an ICES, combining existing energy infrastructure and available resources in a community, maximizes the energy efficiency via the most ecological, technical, and economic way [11].…”

Section: Introductionmentioning

confidence: 99%

Trilateral Planning Model for Integrated Community Energy Systems and PV-Based Prosumers—A Bilevel Stochastic Programming Approach

Pourakbari‐Kasmaei

Asensio

Lehtonen

et al. 2020

IEEE Trans. Power Syst.

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This paper proposes a trilateral bilevel stochastic mixed integer bilevel linear programming (MIBLP) model to handle a joint master-slave operation-planning problem. This model considers the interactions among an integrated community energy system (ICES), prosumers, and the wholesale electricity market (WM). The ICES, in the upper level, makes a joint optimal photovoltaic (PV) and energy storage system plan taking into account the concurrent interactions with the WM and prosumers to maximize its profit. On the other hand, in the lower level, the prosumers aim at minimizing their bills via an optimal PV-package sizing while interacting with the ICES and the WM simultaneously. The strong duality theorem is used to recast this MIBLP model into an equivalent single-level model. Since the lower level is also an operation-planning problem, this recast results in a mixed integer nonlinear programming (MINLP) model that prevents finding a satisfactory solution. To remedy this issue, sensitivity analysis and a separation-based linearization technique are applied. Numerical results illustrate the effective performance of the proposed business model while providing valuable information for the ICES and consumers.

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Participation of an Energy Hub in Electricity and Heat Distribution Markets: An MPEC Approach

Cited by 207 publications

References 56 publications

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Coalition Formation of Microgrids with Distributed Energy Resources and Energy Storage in Energy Market

Power system flexibility: an overview of emergence to evolution

Trilateral Planning Model for Integrated Community Energy Systems and PV-Based Prosumers—A Bilevel Stochastic Programming Approach

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