Two‐stage glowworm swarm optimisation for economical operation of hydropower station

Wang, Xiaoyu; Yang, Kun; Zhou, Xianghua

doi:10.1049/iet-rpg.2017.0466

Cited by 6 publications

(3 citation statements)

References 42 publications

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“…Participants can be divided into generators and purchasers, and their different interest demands correspond to their different objectives [24]. Of course, the constraints on both sides are different, especially in that hydropower may introduce many nonconvex and nonlinear constraints [25,26]. As defined in [27], both parties act as leaders and followers, respectively, that is, the upper and lower levels of bi-level optimization; it is clear that each level has its own objectives and constraints.…”

Section: A Literature Reviewmentioning

confidence: 99%

Hydropower Pricing Options for Cross-Border Electricity Trading in China Based on Bi-Level Optimization

Zhang

Chen

et al. 2022

IEEE Access

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Regional cross-border electricity trading is popular in price and cooperation. It is a reliable path to alleviate the shortage of power supply during rapid economic growth. As an important export commodity, the pricing options for hydropower directly relate to the cooperation intention of business parties. This study demonstrates the price formation methods and internal relationships of cascade hydropower stations in CBET. To simulate the decision-making of a bilateral forward contract, a bi-level optimization model was constructed, and the objectives of each layer represent the interests of both parties. The BOM was linearized with Karush-Kuhn-Tucker conditions and strong duality, and finally solved using mixed-integer linear programming. The prices of CHSs in southwestern China were calculated under different pricing options and the results were absorbed in an actual transaction case. Consequently, the complementarity between different exporting countries was verified. The most suitable pricing option for CBET was determined, that is the unified electricity price based on the marginal cost, to be 481 CNY/MW h  , which is 20% to 60% higher than the thermal and photovoltaic from other countries. Furthermore, national policy support and economic subsidies are key guarantees for the sustainable development of CBET, which can reduce the discount electricity price to below that of thermal generation by 30%.INDEX TERMS Hydropower, Pricing options, Cross-border electricity trade, Bi-level optimization, MILP NOMENCLATUREThe notations are stated below for quick reference: other symbols have been defined as required throughout the text.

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Section: A Literature Reviewmentioning

confidence: 99%

Hydropower Pricing Options for Cross-Border Electricity Trading in China Based on Bi-Level Optimization

Zhang

Chen

et al. 2022

IEEE Access

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“…Firstly, inflow is the primary factor of market supply capacity, resulting in different bidding strategies (Helseth et al, 2017;Li et al, 2019). Then, the water from the upstream power station will be used as the inflow of the downstream power station, which directly affects the power generation process (Wang X. et al, 2018). When multiple owners manage a cascade system, this information is unknown.…”

Section: Figurementioning

confidence: 99%

Simulation of hydraulic power matching–based risk and economic evaluation among cascade hydropower stations in spot transactions

Shuai

Ma²,

Huang³

et al. 2022

Front. Energy Res.

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The electricity market is evolving rapidly from pre-bid to spot markets, where the transactions between producers and consumers have become crucial and are vulnerable to safety risks. In addition, the new modes of transaction are also becoming popular and are said to have some risks. To reveal the impact of the new electricity transaction mode—spot market—on the safety risk and generation benefit, this article presents a simulation method connecting the transaction results and operation process. To verify the effectiveness of the proposed method, an actual cascade hydropower station (CHS) in the Dadu River basin, Southwestern China, which comprises eight hydropower stations, is selected. Hydraulic power matching among the CHSs is discriminated from four aspects with multiple indicators combined with the reality of a hydropower-dominated market in Sichuan, China. The dispatching decision-making process of hydropower generators is described with a multi-objective optimization model and then solved with a fast search strategy based on the classical output calculation method in hydrology. The security risks and economic damage hidden in the day-ahead market on a certain day are discovered and analyzed. The technology proposed provides support for bidding decisions in spot transactions and satisfies the reality during the transition period of electricity reform.

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“…Applications related to different fields such as Image processing [78][79][80], Communication [81,82], Robotics [83,84], and Power Engineering [85][86][87] used the GSO algorithm.…”

Section: ) Glow-worm Swarm Optimizationmentioning

confidence: 99%

A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem

Khan

Ling

2020

J Comput Electron

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This paper encompasses a detailed review of state-of-the-art swarm-based algorithms with a focus on their applications along with a discussion on the merits and limitations of each algorithm. Further, a recently developed Advanced Particle Swarm Optimization (APSO) algorithm was compared with the different state-of-the-art-swarmbased algorithms through solving an electromagnetic inverse problem. Results showed that the APSO algorithm has outperformed the other algorithms. This research provides a scientific guideline for the comparison of different swarmbased algorithms and their utilization regarding specific applications.

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Two‐stage glowworm swarm optimisation for economical operation of hydropower station

Cited by 6 publications

References 42 publications

Hydropower Pricing Options for Cross-Border Electricity Trading in China Based on Bi-Level Optimization

Hydropower Pricing Options for Cross-Border Electricity Trading in China Based on Bi-Level Optimization

Simulation of hydraulic power matching–based risk and economic evaluation among cascade hydropower stations in spot transactions

A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem

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