Investigating the Social Efficiency of Merchant Transmission Planning Through a Non-cooperative Game-Theoretic Framework

Paola, Antonio De; Papadaskalopoulos, Dimitrios; Angeli, David; Štrbac, Goran

doi:10.1109/tpwrs.2018.2817360

Cited by 11 publications

(8 citation statements)

References 37 publications

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“…The network expansion is determined by a central network planner with the purpose of maximizing the total social welfare of the system. This scheme can be formulated analytically through the following optimization problem [9]:…”

Section: Transmission Planning: Model and Challengesmentioning

confidence: 99%

Ex-ante dynamic network tariffs for transmission cost recovery

Savelli

Paola

2020

Applied Energy

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This paper proposes a novel tariff scheme and a new optimization framework in order to address the recovery of fixed investment costs in transmission network planning, particularly against rising demand elasticity. At the moment, ex-post network tariffs are utilized in addition to congestion revenues to fully recover network costs, which often leads to over/under fixed cost recovery, thus increasing the investment risk. Furthermore, in the case of agents with elastic market curves, ex-post tariffs can cause several inefficiencies, such as mistrustful bidding to exploit ex-post schemes, imperfect information in applied costs and cleared quantities, and negative surplus for marginal generators and consumers. These problems are exacerbated by the increasing price-elasticity of demand, caused for example by the diffusion of demand response technologies. To address these issues, we design a dynamic ex-ante tariff scheme that explicitly accounts for the effect of tariffs in the longterm network planning problem and in the underlying market clearing process. Using linearization techniques and a novel reformulation of the congestion rent, the long-term network planning problem is reformulated as a single mixed-integer linear problem which returns the combined optimal values of network expansion and associated tariffs, while accounting for price-elastic agents and lumpy investments. The advantages of the proposed approach in terms of cost recovery, market equilibrium and increased social welfare are discussed qualitatively and are validated in numerical case studies. y b τ d t,m,i,k it replaces the product b τ m,i d t,k y b τ g t,m,i,p it replaces the product b τ m,i g t,p

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Section: Transmission Planning: Model and Challengesmentioning

confidence: 99%

Ex-ante dynamic network tariffs for transmission cost recovery

Savelli

Paola

2020

Applied Energy

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“…In [19], the problem of efficiently coordinating price-responsive appliances operating in the electricity market is tackled within a game theoretical framework. Cho [34] Al-Talabani et al [35] Muthukumar and Sahai [36] Pawlick and Zhu [37] Yang et al [38] Li et al [39] Wang et al [40] Gao et al [41] Xu et al [42] Pawlick et al [43] Niu et al [44] Pawlick et al [45] Shi et al [31] Maharjan et al [18] Zonouz et al [29] Tian et al [46] De Paola et al [19] Zhu et al [47] Anand et al [48] Xu et al [49] Ahn et al [50] Xu et al [51] Borjigin et al [24] De Paola et al [20] Gong et al [22] Basilico et al [30] Duan et al [52] Chen et al [53] Cao et al [54] Cho et al [55] Waqas et al [56] Wahab et al [57] Abdalzaher et al [58] Rani et al [59]…”

Section: Game Theory In Networkmentioning

confidence: 99%

“…In a network with mobile users/terminals, the introduction of a game model can improve the utility of mobile users [49,50]. In merchant transmission planning, the introduction of game theory can improve social efficiency [20,22]. In [24], a resource scheduling method for guaranteeing resource utilization and service performance is presented, maximizing the profits of players.…”

Section: Security Game Trust Game Othersmentioning

confidence: 99%

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Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

Huang

Jia

Fang

et al. 2019

Sensors

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The widespread application of networks is providing a better platform for the development of society and technology. With the expansion of the scope of network applications, many issues need to be solved. Among them, the maximization of utility and the improvement of security have attracted much attention. Many existing attacks mean the network faces security challenges. The concept of trust should be considered to address these security issues. Meanwhile, the utility of the network, including efficiency, profit, welfare, etc., are concerns that should be maximized. Over the past decade, the concepts of game and trust have been introduced to various types of networks. However, there is a lack of research effort on several key points in distributed networks, which are critical to the information transmission of distributed networks, such as expelling malicious nodes quickly and accurately and finding equilibrium between energy assumption and high transmission rate. The purpose of this paper is to give a holistic overview of existing research on trust and game theory in networks. We analyzed that network utility can be maximized in terms of effectiveness, profits, and security. Moreover, a possible research agenda is proposed to promote the application and development of game theory and trust for improving security and maximizing utility.

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“…In the power market, the power price is quoted by generators and users according to their generation costs and consumption benefits, which forms correct price signals and guides the optimal allocation of network resources [14,15]. Based on the game theory [16,17], the transmission network planning method considering the behavior of generators and the planning decision of the transmission network is studied. In [18,19], a transmission network expansion planning model and a coordinated generation and transmission planning model are established, considering the maximum of social welfare and generators' benefit.…”

Section: Introductionmentioning

confidence: 99%

Multi-Stage Transmission Network Planning Considering Transmission Congestion in the Power Market

et al. 2020

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The uncertainty of generation and load increases in the transmission network in the power market. Considering the transmission congestion risk caused by various uncertainties of the transmission network, the optimal operation strategies of the transmission network under various operational scenarios are decided, aiming for the maximum of social benefit for the evaluation of the degree of scenario congestion. Then, a screening method for major congestion scenario is proposed based on the shadow price theory. With the goal of maximizing the difference between the social benefits and the investment and maintenance costs of transmission lines under major congestion scenarios, a multi-stage transmission network planning model based on major congestion scenarios is proposed to determine the configuration of transmission lines in each planning stage. In this paper, the multi-stage transmission network planning is a mixed integer linear programming problem. The DC power flow model and the commercial optimization software CPLEX are applied to solve the problem to obtain the planning scheme. The improved six-node Garver power system and the simplified 25-node power system of Zhejiang Province, China are used to verify the effectiveness of the proposed multi-stage planning model.

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Investigating the Social Efficiency of Merchant Transmission Planning Through a Non-cooperative Game-Theoretic Framework

Cited by 11 publications

References 37 publications

Ex-ante dynamic network tariffs for transmission cost recovery

Ex-ante dynamic network tariffs for transmission cost recovery

Towards Security Joint Trust and Game Theory for Maximizing Utility: Challenges and Countermeasures

Multi-Stage Transmission Network Planning Considering Transmission Congestion in the Power Market

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