Unit Commitment Comprehensive Optimal Model Considering the Cost of Wind Power Curtailment and Deep Peak Regulation of Thermal Unit

Yang, Bin; Cao, Xiangyang; Cai, Zhenhua; Yang, Tongguang; Chen, Fan; Gao, Xiaohai; Zhang, Jie

doi:10.1109/access.2020.2983183

Cited by 54 publications

(17 citation statements)

References 16 publications

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“…Even the proposed optimization method is designed for one SVC at the last AT, the proposed method can be modified for the system including multiple SVCs with few efforts because increase in position vector size can be easily adopted for PSO, which is relative advantages of heuristic optimization method [25]. Thus, the proposed optimization method is also scalable for general railway traction system similar with the power flow calculation method.…”

Section: Overall Proceduresmentioning

confidence: 99%

Loss Minimization of Electrified Railway Traction Systems Using SVC Based on Particle Swarm Optimization

et al. 2020

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Section: Overall Proceduresmentioning

confidence: 99%

Loss Minimization of Electrified Railway Traction Systems Using SVC Based on Particle Swarm Optimization

et al. 2020

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“…Recently, the inclusion of WP resources, along with thermal generating units, in the generation scheduling problems, such as dispatch problems and unit commitment problems, has attracted much attention [4][5][6]. Unfortunately, under-estimation and overestimation of available WP have posed many difficulties in the resolution of such problems.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Chaotic Maps-Based Artificial Bee Colony for Solving Wind Energy-Integrated Power Dispatch Problem

2022

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A chance-constrained programming-based optimization model for the dynamic economic emission dispatch problem (DEED), consisting of both thermal units and wind turbines, is developed. In the proposed model, the probability of scheduled wind power (WP) is included in the set of problem-decision variables and it is determined based on the system spinning reserve and the system load at each hour of the horizon time. This new strategy avoids, on the one hand, the risk of insufficient WP at high system load demand and low spinning reserve and, on the other hand, the failure of the opportunity to properly exploit the WP at low power demand and high spinning reserve. The objective functions of the problem, which are the total production cost and emissions, are minimized using a new hybrid chaotic maps-based artificial bee colony (HCABC) under several operational constraints, such as generation capacity, system loss, ramp rate limits, and spinning reserve constraints. The effectiveness and feasibility of the suggested framework are validated on the 10-unit and 40-unit systems. Moreover, to test the robustness of the suggested HCABC algorithm, a comparative study is performed with various existing techniques.

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“…Obviously, to restrict the REP level is the most effective way to maintain the frequency stability of the low-inertia system, but a huge waste of energy is by Yan et al (2017) and Yang et al (2020), and the maximum power point operation is used by Ochoa and Martinez (2017), Kumar et al (2018), and Kumar et al (2019) to enable REG to provide frequency regulation. The photovoltaic generator and wind turbine are operated below the maximum power point with virtual inertia controllers, and the active power reserved by battery storages is applied to system frequency regulation (Kumar et al, 2018;Kumar et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Power Configuration Scheme for Battery Energy Storage Systems Considering the Renewable Energy Penetration Level

Chen¹,

Xie²,

Chen

et al. 2021

Front. Energy Res.

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With the increase of the renewable energy penetration (REP) level in the interconnected power grid, the proportion of the grid-connected conventional synchronous generators reduces continuously, resulting in the decrease of the system inertia. The insufficient system inertia brings challenges to the system frequency stability. Battery energy storage systems (BESSs), regarded as the high-quality frequency regulation resource, play an important role in maintaining the frequency stability of the system with the high REP level. To configure the proper power of BESSs in system frequency regulation, a BESS power configuration scheme (PCS) considering the REP constraint is proposed in this paper. In particular, the process to obtain the REP boundary of the interconnected grid on the premise of system frequency stability is included in the PCS, and the optimal power configuration of the BESS is further determined on the analysis of the BESS impact on the REP boundary. Furthermore, a simulation model of the Australian five-area interconnected power grid is built in MATLAB/Simulink, and the proposed REP-constrained PCS is verified and analyzed. At last, the promising results show that the PCS can take full advantages of the BESS in frequency regulation and meet the system requirement of the frequency stability at a particular REP level.

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Unit Commitment Comprehensive Optimal Model Considering the Cost of Wind Power Curtailment and Deep Peak Regulation of Thermal Unit

Cited by 54 publications

References 16 publications

Loss Minimization of Electrified Railway Traction Systems Using SVC Based on Particle Swarm Optimization

Loss Minimization of Electrified Railway Traction Systems Using SVC Based on Particle Swarm Optimization

Hybrid Chaotic Maps-Based Artificial Bee Colony for Solving Wind Energy-Integrated Power Dispatch Problem

Power Configuration Scheme for Battery Energy Storage Systems Considering the Renewable Energy Penetration Level

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