Power Distribution Expansion Planning in the Presence of Wholesale Multimarkets

Nourollahi, Ramin; Gholizadeh-Roshanagh, Reza; Feizi-Aghakandi, Hamideh; Zare, Kazem; Mohammadi‐Ivatloo, Behnam

doi:10.1109/jsyst.2022.3192091

Cited by 24 publications

(5 citation statements)

References 26 publications

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“…Specifically, Equations ( 9) and ( 10) detail the output capacities for both candidate and established units. Equation (11) accounts for the total power imported to or exported from each bus, while Equation ( 12) outlines the constraints on power flow. LMPs are computed based on the dual variables associated with the power balance constraints at each bus, as shown in Equation ( 13…”

Section: Level-2: Generation Expansion Equilibriummentioning

confidence: 99%

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Interdependent Expansion Planning for Resilient Electricity and Natural Gas Networks

Pan,

Li,

Guo

et al. 2024

Processes

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This study explores enhancing the resilience of electric and natural gas networks against extreme events like windstorms and wildfires by integrating parts of the electric power transmissions into the natural gas pipeline network, which is less vulnerable. We propose a novel integrated energy system planning strategy that can enhance the systems’ ability to respond to such events. Our strategy unfolds in two stages. Initially, we devise expansion strategies for the interdependent networks through a detailed tri-level planning model, including transmission, generation, and market dynamics within a deregulated electricity market setting, formulated as a mixed-integer linear programming (MILP) problem. Subsequently, we assess the impact of extreme events through worst-case scenarios, applying previously determined network configurations. Finally, the integrated expansion planning strategies are evaluated using real-world test systems.

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Section: Level-2: Generation Expansion Equilibriummentioning

confidence: 99%

“…Moreover, the dynamics of the wholesale energy market are essential for effective interdependent planning [11,12]. This market, overseen by an Independent System Operator (ISO), includes transmission limitations and the process for energy market clearing, significantly affecting decisions in resource planning [13].…”

Section: Introductionmentioning

confidence: 99%

Interdependent Expansion Planning for Resilient Electricity and Natural Gas Networks

Pan,

Li,

Guo

et al. 2024

Processes

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“…The deregulation of the nations' energy markets forces market participants to adjust their operations to the new environment [19]. In [20], a methodology based on the distributional locational marginal price (DLMP) minimizes network congestion by considering network power flows is calculated.…”

Section: A Literature Reviewmentioning

confidence: 99%

Investigating Impacts of CVR and Demand Response Operations on a Bi-Level Market-Clearing With a Dynamic Nodal Pricing

et al. 2023

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This paper investigates the impacts of conservation voltage reduction (CVR) on electricity prices, the local market, and technical issues in distribution networks. An increase in electricity demand is one of the key challenges for developing sustainable societies. An increase in electric consumption puts immense pressure on electricity providers, which forces them to apply for load reduction programs during peak-demand time intervals. The CVR is one of the popular methods for load reduction, but how it would impact the pricing process and electricity market at the distribution level needs further investigation.

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“…Reference [21] established a statistical model of meteorological data under hurricane conditions by considering the CVaR of strong winds and subsequent rainfall. Reference [22] used the CVaR method to model uncertain risks. Reference [23] maximized the total expected profits of wind power and virtual bidding, while using CVaR for risk management.…”

Section: Introductionmentioning

confidence: 99%

Bargaining game based on psychological cost of electric vehicles and risk assessment of aggregators

Lin

Zhou

et al. 2023

IET Generation Trans & Dist

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As electric vehicles (EVs) begin to participate in the peak‐shaving auxiliary service market, the question of how price aggregators can maximize the peak‐shaving capacity provided by EVs and maximize their own profit has become a major problem. This paper proposes a bargaining game pricing method based on the psychological cost of EVs and the risk assessment of aggregators. First, the comprehensive psychological cost of EV users is obtained based on the impact of users’ participation in peak shaving on the battery life of EVs and on users’ original travel plans and time, and the impact of aggregator pricing on users’ psychology. Then, based on users’ psychological cost and the law of gravitation, the evaluation scheme for the peak‐shaving capacity of EVs is obtained. On the basis of conditional value at risk (CVaR), the mixed CVaR is obtained by considering the risk‐chasing behaviour of users. Based on the mixed CVaR, the risk assessment of aggregators’ participation in the peak‐shaving auxiliary service market is carried out. According to the above information, the aggregator and EV groups are engaged in a bargaining game based on the peak‐shaving pricing problem, which is divided into complete information game and incomplete information game. Finally, the feasibility of the proposed method is verified by an example analysis which is run by the MATLAB R2019b. The method proposed in this paper provides aggregators with a complete peak‐shaving electricity pricing scheme, effectively improving the dispatching capacity of EVs. It is helpful to rationalize the pricing of aggregators and maximize their profits. EVs can also obtain satisfactory profits, attracting more EVs to participate in peak shaving, and reduce the pressure on power grid peak shaving.

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Power Distribution Expansion Planning in the Presence of Wholesale Multimarkets

Cited by 24 publications

References 26 publications

Interdependent Expansion Planning for Resilient Electricity and Natural Gas Networks

Interdependent Expansion Planning for Resilient Electricity and Natural Gas Networks

Investigating Impacts of CVR and Demand Response Operations on a Bi-Level Market-Clearing With a Dynamic Nodal Pricing

Bargaining game based on psychological cost of electric vehicles and risk assessment of aggregators

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