Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation

Li, Ran; Ma, Huizhuo; Wang, Feifei; Wang, Yihe; Liu, Yang; Li, Zenghui

doi:10.3390/en6021101

Cited by 32 publications

(30 citation statements)

References 21 publications

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“…The major difference between our proposed procedure and the one presented in [26] is that the latter does not use the three steps (i.e., Steps 2-4) to narrow the solution space by ruling out the planning candidates that violate the generation constraints (10) and (11). All procedures and algorithms are implemented in MATLAB and executed on an Intel Xeon E5-2650, 2 GHz, 4 GB RAM computer.…”

Section: Efficiency Of the Proposed Optimization Methodsmentioning

confidence: 99%

“…The proposed planning procedure and GTHA, as well as a previously reported procedure [26] and the traditional GA [27], Tabu [25] and PSO [14] algorithms, are applied to the integrated planning problem (17) respectively to evaluate and compare their performances. The major difference between our proposed procedure and the one presented in [26] is that the latter does not use the three steps (i.e., Steps 2-4) to narrow the solution space by ruling out the planning candidates that violate the generation constraints (10) and (11).…”

Section: Efficiency Of the Proposed Optimization Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Integrated generation-transmission expansion planning for offshore oilfield power systems based on genetic Tabu hybrid algorithm

Sun

Xie

Wang

et al. 2016

J. Mod. Power Syst. Clean Energy

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To address the planning issue of offshore oilfield power systems, an integrated generation-transmission expansion planning model is proposed. The outage cost is considered and the genetic Tabu hybrid algorithm (GTHA) is developed to find the optimal solution. With the proposed integrated model, the planning of generators and transmission lines can be worked out simultaneously, which outweighs the disadvantages of separate planning, for instance, unable to consider the influence of power grid during the planning of generation, or insufficient to plan the transmission system without enough information of generation. The integrated planning model takes into account both the outage cost and the shipping cost, which makes the model more practical for offshore oilfield power systems. The planning problem formulated based on the proposed model is a mixed integer nonlinear programming problem of very high computational complexity, which is difficult to solve by regular mathematical methods. A comprehensive optimization method based on GTHA is also developed to search the best solution efficiently. Finally, a case study on the planning of a 50-bus offshore oilfield power system is conducted, and the obtained results fully demonstrate the effectiveness of the presented model and method.

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Section: Efficiency Of the Proposed Optimization Methodsmentioning

confidence: 99%

Section: Efficiency Of the Proposed Optimization Methodsmentioning

confidence: 99%

Integrated generation-transmission expansion planning for offshore oilfield power systems based on genetic Tabu hybrid algorithm

Sun

Xie

Wang

et al. 2016

J. Mod. Power Syst. Clean Energy

View full text Add to dashboard Cite

show abstract

“…Specifically, the intermittency and variability of renewable-type DGs impose challenges when planning active distribution networks [3][4][5]. Inappropriate sitingand sizing of DGs could lead to many negative effects on the distribution systems concerned, such as the relay system configurations, voltage profiles, and network losses [6]. Therefore, it is becoming increasingly important of siting and sizing the DGs in active distribution networks planning.…”

Section: Introductionmentioning

confidence: 99%

Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Cost of Operation Risk

Gong

Lei

2016

Energies

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Abstract:With the penetration of distributed generators (DGs), operation planning studies are essential in maintaining and operating a reliable and secure power system. Appropriate siting and sizing of DGs could lead to many positive effects forthe distribution system concerned, such as the reduced total costs associated with DGs, reduced network losses, and improved voltage profiles and enhanced power-supply reliability. In this paper, expected load interruption cost is used as the assessment of operation risk in distribution systems, which is assessed by the point estimate method (PEM). In light with the costs of system operation planning, a novel mathematical model of chance constrained programming (CCP) framework for optimal siting and sizing of DGs in distribution systems is proposed considering the uncertainties of DGs. And then, a hybrid genetic algorithm (HGA), which combines the GA with traditional optimization methods, is employed to solve the proposed CCP model. Finally,the feasibility and effectiveness of the proposed CCP model are verified by the modified IEEE 30-bus system, and the test results have demonstrated that this proposed CCP model is more reasonable to determine the siting and sizing of DGs compared with traditional CCP model.

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“…Wang et al studied the cooperative game with transferable pay off for hybrid power system consisting of wind generations, photovoltaic generations and storage batteries [38]. Li et al applied game optimization theory, which integrates costs, losses, and voltage index, for the distribution systems planning, including distributed generation [39]. Based on cooperative game theory, He et al constructed a generation right trade model and analyzed the profits of all players before and after the cooperative game [40].…”

Section: Application Of Game Theory In Hybrid Power System Planningmentioning

confidence: 99%

Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

Liu

2018

Sustainability

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Abstract:The rapid development of Energy Internet (EI) has prompted numbers of generators to participate, leading to a hybrid power system. Hence, how to plan the hybrid power system and allocate its profit becomes necessary. In this paper, the cooperative game theory is introduced to discuss this problem. We first design the basic structure of EI, and point out the object of this study-coal power plant-wind farm-photovoltaic power station-energy storage provider (CWPE) alliance. Subsequently, average allocation strategy (AAS), capacity-based allocation strategy (CAS) and Shapley value allocation strategy (SAS) are proposed, and then the modified disruption propensity (MDP) index is constructed to judge the advantages and disadvantages of the three schemes. Thirdly, taking a certain area of A Province as an example, the profits of CWPE under three strategies are calculated respectively. Finally, by analyzing individual rationality and collective rationality of cooperative game and the MDP index of the three profit allocation schemes, we find that SAS is the most stable.

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Game Optimization Theory and Application in Distribution System Expansion Planning, Including Distributed Generation

Cited by 32 publications

References 21 publications

Integrated generation-transmission expansion planning for offshore oilfield power systems based on genetic Tabu hybrid algorithm

Integrated generation-transmission expansion planning for offshore oilfield power systems based on genetic Tabu hybrid algorithm

Optimal Siting and Sizing of Distributed Generators in Distribution Systems Considering Cost of Operation Risk

Profit Allocation of Hybrid Power System Planning in Energy Internet: A Cooperative Game Study

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