Demand-Responsive Virtual Power Plant Optimization Scheduling Method Based on Competitive Bidding Equilibrium

Sun, Bowei; Kong, Xiangyu; Zhang, Fang; Li, Ye; Yanan, Qiao; Yang, Qun

doi:10.1016/j.egypro.2018.09.151

Cited by 14 publications

(9 citation statements)

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“…The primary grid consists of balance market revenues. 45,48,[54][55][56]59,60,63,66 Bilateral contract revenues 57,58,60,63 are a major objective function of the primary grid allowing for contractual agreements between market entities relevant to the power distribution in energy markets. The primary grid has day-ahead market revenues 43,47,[52][53][54][55]57,66 as alternative objective function to deal with day-ahead scheduling problems.…”

Section: Objective Functions and Constraintsmentioning

confidence: 99%

“…The generation capacity represents four objective functions: generation-based income, investment cost, operation, maintenance cost, and income from the spinning reserve. Investment cost [41][42][43][44][45][46][47][48] and operation and maintenance cost 29,[44][45][46][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64][65][66] depict the price of generation, with the income from generation 48,50,52,64,65 from energy markets and income from spinning reserve capacity 49,[53][54][55][56] to cover up shortfalls in costs. The primary grid consists of balance market revenues.…”

Section: Objective Functions and Constraintsmentioning

confidence: 99%

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A conceptual review on transformation of micro‐grid to virtual power plant: Issues, modeling, solutions, and future prospects

Panda

Mohanty

Rout

et al. 2022

Intl J of Energy Research

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Summary Enhancing the balance between demand and generation with smooth performance, the integration of renewable energy sources (RESs) plays a vital role in the smart distribution system. However, due to the inherent uncertainty and intermittent nature of RESs, many issues and challenges such as power quality, efficiency, stability, and reliability need to be taken care of for achieving an optimal operation. To resolve these associated problems, the virtual power plant (VPP) has been introduced and integrated with present smart distribution systems without sacrificing the grid stability and reliability along with offering many techno‐economic benefits. This article is a precise presentation of issues, modeling, effective management mechanism solutions, and prospects of VPP. In addition to that, the present status, guidelines, and standards prescribed for the VPP implementation are summarized. RESs have a significant effect on VPP framework coordination, and so one important aspect related to RESs scheduling in VPP is explained in this article. Bidding strategy optimization problems, the participation of the electric market, and technical innovation reforms are discussed in line with the VPP. This review gives a comprehensive outline of transforming micro‐grid to VPP and conveys much information to researchers, consumers, prosumers, and utility operators.

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Section: Objective Functions and Constraintsmentioning

confidence: 99%

Section: Objective Functions and Constraintsmentioning

confidence: 99%

A conceptual review on transformation of micro‐grid to virtual power plant: Issues, modeling, solutions, and future prospects

Panda

Mohanty

Rout

et al. 2022

Intl J of Energy Research

View full text Add to dashboard Cite

show abstract

“…The demand and supply balance constraints consider supply and The generation unit depicts four objective functions: generation income, capital cost, operational cost, and spinning reserve income. Capital cost [39][40][41][42][43][44][45][46] and operational cost [28,33,[42][43][44][47][48][49][50][51][52][53][54][55][56][57][58][59][60][61][62][63][64] provides the cost of generation, where the generation income [33,48,50,62,63] from electricity market and spinning reserve income [47,[51][52][53][54] compensate the cost. The main grid includes balancing market income/cost [43,46,[52][53][54]57,58,…”

Section: Vpp Objectivesmentioning

confidence: 99%

Systematic Categorization of Optimization Strategies for Virtual Power Plants

et al. 2020

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Due to the rapid growth in power consumption of domestic and industrial appliances, distributed energy generation units face difficulties in supplying power efficiently. The integration of distributed energy resources (DERs) and energy storage systems (ESSs) provides a solution to these problems using appropriate management schemes to achieve optimal operation. Furthermore, to lessen the uncertainties of distributed energy management systems, a decentralized energy management system named virtual power plant (VPP) plays a significant role. This paper presents a comprehensive review of 65 existing different VPP optimization models, techniques, and algorithms based on their system configuration, parameters, and control schemes. Moreover, the paper categorizes the discussed optimization techniques into seven different types, namely conventional technique, offering model, intelligent technique, price-based unit commitment (PBUC) model, optimal bidding, stochastic technique, and linear programming, to underline the commercial and technical efficacy of VPP at day-ahead scheduling at the electricity market. The uncertainties of market prices, load demand, and power distribution in the VPP system are mentioned and analyzed to maximize the system profits with minimum cost. The outcome of the systematic categorization is believed to be a base for future endeavors in the field of VPP development.

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“…One of the methods presented for overcoming the mentioned challenges and issues is the integration of a number of DGs in the form of a virtual power plant (VPP). VPP is a combination of DG, dispatch able load and distributed energy storage that supports the integration and control of various types of DGs through communication technologies [2]. The VPP can decrease DGs' generation uncertainties, deviation losses and increase total profits [3].…”

Section: Introductionmentioning

confidence: 99%

Optimal Operation of Virtual Power Plant with Considering the Demand Response and Electric Vehicles

Heydari

Nikoukar

Gandomkar

2021

J. Electr. Eng. Technol.

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The needs of human communities for electrical energy is increasing every day, and as a result, the price of fossil fuels is steadily increasing. Considering the trend of advances in renewable energy technologies and the support of governments and energy policymakers to make more use of these clean and inexpensive resources. Limitations such as low capacity, the uncertainty of output power and stability issues have made it costly and difficult to use Distributed Energy Resources (DERs). To solve these problems, a new concept known as Virtual Power Plant (VPP) has been proposed to facilitate the exploitation of DERs. The VPP is a set of DERs that are put together for market participation. Also, efforts to reduce the amount of environmental pollution have replaced the use of Electric Vehicles (EV) instead of internal combustion engines. Regarding this paper, a new model for optimizing virtual power plant is presented. In this model, the Demand response (DR) has been used, whose modeling is based on Price-Based Demand Response for ordinary loads and incentive. To solve the problem a mixed integer linear programming model is proposed to maximize the profit of the virtual power plant. In order to see the effectiveness and satisfying performance of proposed model, a case study including DERs, EV, and loads is studied as test system. The simulation results using Matlab and GAMS show the efficiency of the proposed model and proves that simultaneous use of the price-based demand response program, smart charging, and the participation of electric vehicles in demand responses reduces operating costs. KeywordsVirtual power plant • Electric vehicles • Distributed generation resources • Demand response • Mixed integer linear programming * Javad Nikoukar

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Demand-Responsive Virtual Power Plant Optimization Scheduling Method Based on Competitive Bidding Equilibrium

Cited by 14 publications

References 1 publication

A conceptual review on transformation of micro‐grid to virtual power plant: Issues, modeling, solutions, and future prospects

A conceptual review on transformation of micro‐grid to virtual power plant: Issues, modeling, solutions, and future prospects

Systematic Categorization of Optimization Strategies for Virtual Power Plants

Optimal Operation of Virtual Power Plant with Considering the Demand Response and Electric Vehicles

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