Multiparty Energy Management for Grid-Connected Microgrids With Heat- and Electricity-Coupled Demand Response

Liu, Nian; He, Li; Yu, Xinghuo; Ма, Ли

doi:10.1109/tii.2017.2757443

Cited by 168 publications

(89 citation statements)

References 34 publications

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“…The CMG includes one CHP unit, one wind turbine, one ESS, thermal, and electrical demands. The electrical and thermal energy demands of the CMG are depicted in Figures and , respectively . The day‐ahead electricity price is sketched in Figure .…”

Section: Implementation and Sensitivity Studiesmentioning

confidence: 99%

Optimal energy management of community microgrids: A risk-based multi-criteria approach

Abniki

Taghvaei²,

Mohammadi‐Hosseininejad

2018

Int Trans Electr Energ Syst

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Summary Community microgrids (CMGs) have been developing nowadays as an initiative to operate modern electric distribution systems in a more economical, reliable, and environmentally friendly manner than the existing centralized electricity grid which benefited both distribution system operator and consumers. In this paper, the optimal energy management of CMGs is formulated considering distributed energy resources and thermal and electrical demands in CMGs. The objective function of the proposed methodology consists of the total cost of CMGs operation, the total cost of energy not supplied in CMGs, and total cost of emission produced in CMGs in order to comprehensively manage the CMG operation. Moreover, the uncertainty of renewable energy resources, electricity price, and demanded power of CMGs are considered in the proposed methodology. In addition, two risk evaluation measures are employed to cope with existing risks in the CMG operation. Furthermore, a number of sensitivity studies are accomplished to investigate the effects of important parameters on the performance of the proposed approach. The effectiveness of the proposed methodology is examined on a test system.

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Section: Implementation and Sensitivity Studiesmentioning

confidence: 99%

Optimal energy management of community microgrids: A risk-based multi-criteria approach

Abniki

Taghvaei²,

Mohammadi‐Hosseininejad

2018

Int Trans Electr Energ Syst

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“…Moreover, from the perspective of DR, the prosumers adjust their usage of energy motivated by the prices, and then get financially benefit. Simultaneously, adjusting the prosumer's load profiles would cause uncomfortable [33] or inconvenience [10] impact. Thus, the equivalent negative cost on the utility of prosumers can be defined as follows.…”

Section: Utility Of Prosumermentioning

confidence: 99%

“…The parameters of utility grid, CHP and PVT-HP prosumer are listed in Table 1. All the load data are collected from the smart residential buildings of demonstration projects in Beijing [33]. The settings of the case study are consistent with these projects to make the method capable of the practical applications.…”

Section: Basic Datamentioning

confidence: 99%

Distributed Energy Sharing for PVT-HP Prosumers in Community Energy Internet: A Consensus Approach

et al. 2018

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Community Energy Internet (CEI) integrates electric network and thermal network based on combined heat and power (CHP) to improve the economy of energy system in Smart Community. In the CEI, an energy sharing framework for prosumers equipped with photovoltaic-thermal (PVT) system and heat pump (HP) is introduced. Supporting by the PVT and HP, the prosumer has four role attributes with either heat or electricity producer/consumer. A social welfare maximization model is built for the CEI, including PVT-HP prosumers, CHP system, and utility grid. Considering there are multiply participants in the local market of CEI, the social welfare maximization problem is decoupled by using Lagrange multiplier method. Moreover, a consensus-based fully distributed algorithm is designed to solve the problem. Finally, six residential buildings are selected as the case study to validate the effectiveness of the proposed method.

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“…Recently, the energy management of prosumer community groups [6,12] has become an attractive issue in order to improve the operation efficiency and encourage local consumption of RESs. In addition, the development of integrated community groups [13][14][15] based on the combined heat and power (CHP) [16] system contributes to the cost reduction and energy conservation. In these cases, the energy management of the group including multiple MG prosumers considering the CHP system becomes an important problem to be addressed for cost reduction and energy sustainability.…”

Section: Introductionmentioning

confidence: 99%

“…In order to reduce operation cost, improve renewable energy consumption and enhance system reliability, many optimal schemes for energy management [15] of interconnected MGs have been proposed by some researchers, which can be classified into centralized and decentralized schemes [26]. The centralized scheme would be to solve the optimization problem by means of a coordinating entity (CE) with global operational data.…”

Section: Introductionmentioning

confidence: 99%

Energy Sharing for Interconnected Microgrids with a Battery Storage System and Renewable Energy Sources Based on the Alternating Direction Method of Multipliers

Liu

Wang

2018

Applied Sciences

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In order to facilitate the local sharing of renewable energy, an energy sharing management method of multiple microgrids (MGs) with a battery energy storage system (BESS) and renewable energy sources (RESs) is developed. First, a virtual entity named the energy sharing provider (ESP), which acts as an agent for MGs, is introduced to minimize the power loss cost. Second, a distributed optimal model and a two-level iterative algorithm for the MGs and ESP are proposed, which minimize the total operation cost including purchasing electricity cost, energy storage cost and power loss cost. Based on the energy sharing framework, considering the local objectives of MGs and the objective of ESP, the optimal scheduling can be achieved through the bidirectional interaction between MGs and ESP. During the optimization, the shared information between MGs and ESP is limited to expected exchange power, which protects the privacy of MGs and ESP. Finally, the effectiveness of the proposed model and algorithm in different scenarios is verified through a case study.

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Multiparty Energy Management for Grid-Connected Microgrids With Heat- and Electricity-Coupled Demand Response

Cited by 168 publications

References 34 publications

Optimal energy management of community microgrids: A risk-based multi-criteria approach

Optimal energy management of community microgrids: A risk-based multi-criteria approach

Distributed Energy Sharing for PVT-HP Prosumers in Community Energy Internet: A Consensus Approach

Energy Sharing for Interconnected Microgrids with a Battery Storage System and Renewable Energy Sources Based on the Alternating Direction Method of Multipliers

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