Optimal expansion planning of active distribution system considering coordinated bidding of downward active microgrids and demand response providers

Qaeini, Saeed; Nazar, Mehrdad Setayesh; Yousefian, Morteza; Heidari, Alireza; Shafie‐khah, Miadreza; Catalão, João P.S.

doi:10.1049/iet-rpg.2018.6006

Cited by 14 publications

(5 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The processing of the trading requests submitted by the users in the centralized trading system will bring up the heavy cost of data processing and computation [17]. Therefore, a decision variable D N id ∈ (0, 1) is defined to map the transaction node id in the blockchain network to power generation (0) or request (1) within t ∈ T, which can be expressed as follows:…”

Section: Problems Formulationmentioning

confidence: 99%

Blockchain-Based Power Transaction Method for Active Distribution Network

Zeng¹,

Wei²,

Han³

et al. 2023

Energy Engineering

View full text Add to dashboard Cite

A blockchain-based power transaction method is proposed for Active Distribution Network (ADN), considering the poor security and high cost of a centralized power trading system. Firstly, the decentralized blockchain structure of the ADN power transaction is built and the transaction information is kept in blocks. Secondly, considering the transaction needs between users and power suppliers in ADN, an energy request mechanism is proposed, and the optimization objective function is designed by integrating cost aware requests and storage aware requests. Finally, the particle swarm optimization algorithm is used for multi-objective optimal search to find the power trading scheme with the minimum power purchase cost of users and the maximum power sold by power suppliers. The experimental demonstration of the proposed method based on the experimental platform shows that when the number of participants is no more than 10, the transaction delay time is 0.2 s, and the transaction cost fluctuates at 200,000 yuan, which is better than other comparison methods.

show abstract

Section: Problems Formulationmentioning

confidence: 99%

Blockchain-Based Power Transaction Method for Active Distribution Network

Zeng¹,

Wei²,

Han³

et al. 2023

Energy Engineering

View full text Add to dashboard Cite

show abstract

“…The model analyzes the effect of ACs, such as DGs and demand response, on emission cost and operation and investment costs (ICs) imposed to DSO. Qaeini et al [14] proposed a four-stage stochastic framework for expansion planning of an ADN composed of active microgrids. In the model, the DSO acts as an aggregator and supplies the surplus production of its downward microgrids to the wholesale market.…”

Section: Introductionmentioning

confidence: 99%

“…Qaeini et al. [14] proposed a four‐stage stochastic framework for expansion planning of an ADN composed of active microgrids. In the model, the DSO acts as an aggregator and supplies the surplus production of its downward microgrids to the wholesale market.…”

Section: Introductionmentioning

confidence: 99%

An expansion planning model for strategic visioning of active distribution network in the presence of local electricity market

Solat,

Aminifar,

Safdarian

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

Emergence of different stakeholders with contrary objectives in active distribution network (ADN) requires for a fair network expansion planning that considers all of the contrary objectives. This paper provides an expansion planning model for ADN strategic visioning from electric distribution stakeholders' organization (EDSO) perspective, which takes into account the objectives of all stakeholders. The stakeholders are network owner, active customers (ACs), consumers, and environmental regulatory body (ERB). The proposed model is multistage bi‐level, where the upper‐level minimizes the present value of the total costs imposed to all ADN stakeholders and the lower‐level minimizes the total generation costs within the distribution‐level electricity market. The Karush–Kuhn–Tucker optimality conditions and the linearization techniques are employed through which the model is converted to mixed integer linear programming which can be tackled effectively. The model provides a visionary expansion plan that policymaker must legislate to realize it. Effectiveness of the model in providing a visionary expansion plan considering EDSO's perspective in making cost effective planning decisions per social welfare goals is verified through several case studies on 33‐bus standard test system. According to the simulation results, transition from DSO to EDSO in the presence of low‐capacity ACs improves social welfare by 5%. But this improvement is up to 70% in the presence of high‐capacity ACs.

show abstract

“…In contrast with VaR, conditional VaR (CVaR) is a coherent risk measure, which has the superiority in quantifying risks and mathematical properties such as convexity and differentiability [23], [27]. CVaR is widely used in risk measure and management for power system planning [28] and operation [29].…”

Section: Introductionmentioning

confidence: 99%

Optimal Day-ahead Scheduling of Islanded Microgrid Considering Risk-based Reserve Decision

Liu

et al. 2021

Journal of Modern Power Systems and Clean Energy

View full text Add to dashboard Cite

Due to the lack of support from the main grid, the intermittency of renewable energy sources (RESs) and the fluctuation of load will derive uncertainties to the operation of islanded microgrids (IMGs). It is crucial to allocate appropriate reserve capacity for the economic and reliable operation of IMGs. With the high penetration of RESs, it faces both economic and environmental challenges if we only use spinning reserve for reserve support. To solve these problems, a multi-type reserve scheme for IMGs is proposed according to different operation characteristics of generation, load, and storage. The operation risk due to reserve shortage is modeled by the conditional value-at-risk (CVaR) method. The correlation of input variables is considered for the forecasting error modeling of RES and load, and Latin hypercube sampling (LHS) is adopted to generate the random scenarios of the forecasting error, so as to avoid the dimension disaster caused by conventional large-scale scenario sampling approaches. Furthermore, an optimal day-ahead scheduling model of joint energy and reserve considering riskbased reserve decision is established to coordinate the security and economy of the operation of IMGs. Finally, the comparison of numerical results of different schemes demonstrate the rationality and effectiveness of the proposed scheme and model. Index Terms--Day-ahead scheduling, risk-based reserve decision, conditional value-at-risk (CVaR), renewable energy source (RES), islanded microgrids.

show abstract

Optimal expansion planning of active distribution system considering coordinated bidding of downward active microgrids and demand response providers

Cited by 14 publications

References 26 publications

Blockchain-Based Power Transaction Method for Active Distribution Network

Blockchain-Based Power Transaction Method for Active Distribution Network

An expansion planning model for strategic visioning of active distribution network in the presence of local electricity market

Optimal Day-ahead Scheduling of Islanded Microgrid Considering Risk-based Reserve Decision

Contact Info

Product

Resources

About