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A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F1: Electrical Power System".

Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 9115

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Special Issue Editor

Prof. Dr. Xiaoning Kang

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Guest Editor

School of Electrical Engineering, Xi'an Jiao Tong University, Xi'an, China
Interests: power system control and protection; renewable power integration

Special Issue Information

Dear Colleagues,

The new power system dominated renewable energy plays an essential role in providing the human being a clean, sustainable and low-carbon energy future across the world. However, the uncertain, intermittent and low-inertia nature of renewable generation impose great challenges on the construction, operation and regulation of power systems. Despite lots of efforts from both research community and industry, the continuous innovations and creations in the great need to make the transition to new power systems both technologically feasible and economically affordable, on their planning, operation and control.

Topics of interest for publication include, but are not limited to:

Pathways to the low/zero carbon energy future
Power & energy system planning with high-penetrated renewable power
Siting and sizing of various storages including batteries, pumped hydro, hydrogen…
Optimal Power & energy system operation with uncertainty
Market tools to promote renewable power integration
Control of the low-inertia power generation and power systems
Advanced protection techniques for power electronics dominating power systems
AI methods and applications in power systems

Your contribution is warmly welcomed.

Prof. Dr. Xiaoning Kang
Guest Editor

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Keywords

Energy pathway
New power systems
Renewable power
Optimization techniques
Power electronics
Power markets
Power system control
Relay protection

Published Papers (6 papers)

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Research

18 pages, 3114 KiB

Open AccessArticle

A Coordination Optimization Method for Load Shedding Considering Distribution Network Reconfiguration

by Kai Wang, Lixia Kang and Songhao Yang

Energies 2022, 15(21), 8178; https://0-doi-org.brum.beds.ac.uk/10.3390/en15218178 - 02 Nov 2022

Cited by 6 | Viewed by 1596

Abstract

Load shedding control is an emergency control measure to maintain the frequency stability of the power system. Most of the existing load shedding methods use the extensive form of directly cutting off the outlet of the substation, featuring low control accuracy and high control cost. A network reconfiguration technique can adjust the topology of the distribution network and offers more optimization space for load shedding control. Therefore, this paper proposes a reconfiguration–load shedding coordination optimization scheme to reduce the power loss caused by load shedding control. In the proposed method, a load shedding mathematical optimization model based on distribution network reconfiguration is first established. The tie switches and segment switches in the distribution network are used to perform the reconfiguration of the distribution network, and the load switches are adopted to realize the load shedding. To improve the solving efficiency of the model, a solving strategy that combined a minimum spanning tree algorithm with an improved genetic algorithm is trailed to address the nonlinear and nonconvex terms. The application of the proposed method and model are finally verified via the IEEE 33 bus system, and the advantages in reducing the loss cost and the number of outage users are accordingly proven. Full article

(This article belongs to the Special Issue Planning, Operation and Control of New Power Systems)

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23 pages, 5241 KiB

Open AccessArticle

Hierarchical Stochastic Optimal Scheduling of Electric Thermal Hydrogen Integrated Energy System Considering Electric Vehicles

by Shiduo Jia, Xiaoning Kang, Jinxu Cui, Bowen Tian and Shuwen Xiao

Energies 2022, 15(15), 5509; https://0-doi-org.brum.beds.ac.uk/10.3390/en15155509 - 29 Jul 2022

Cited by 6 | Viewed by 1381

Abstract

After a large number of electric vehicles (EVs) are connected to the integrated energy system, disorderly charging and discharging of EVs will have a negative impact on the safe and stable operation of the system. In addition, EVs’ uncertain travel plans and the stochastic fluctuation of renewable energy output and load power will bring risks and challenges. In view of the above problems, this paper establishes a hierarchical stochastic optimal scheduling model of an electric thermal hydrogen integrated energy system (ETH-IES) considering the EVs vehicle-to-grid (V2G) mechanism. The EVs charging and discharging management layer aims to minimize the variance of the load curve and minimize the dissatisfaction of EV owners participating in V2G. The multi-objective sand cat swarm optimization (MSCSO) algorithm is used to solve the proposed model. On this basis, the daily stochastic economic scheduling of ETH-IES is carried out with the goal of minimizing the operation cost. The simulation results show that the proposed strategy can better achieve a win-win situation between EV owners and microgrid operators, and the operation cost of the proposed strategy is reduced by 16.55% compared with that under the disorderly charging and discharging strategy, which verifies the effectiveness of the proposed model and algorithm. Full article

(This article belongs to the Special Issue Planning, Operation and Control of New Power Systems)

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17 pages, 2458 KiB

Open AccessArticle

Modeling and Analysis on AC-DC Harmonic Coupling of the Three-Phase Voltage Source Converter under Asymmetric Condition

by Wei Wu, Jing Li, Tian Mao, Shenquan Liu, Baorong Zhou and Dehui Zeng

Energies 2022, 15(15), 5466; https://0-doi-org.brum.beds.ac.uk/10.3390/en15155466 - 28 Jul 2022

Viewed by 1158

Abstract

A three-phase voltage source converter (VSC) is the most common power electronic device in power systems, but its inherent nonlinearity leads to complex AC-DC harmonic coupling phenomena. Existing studies focus on the harmonic coupling characteristics of three-phase VSCs under three-phase symmetrical conditions, but the problem under asymmetrical conditions is rarely investigated. This paper proposes a practical modeling method for harmonic state space (HSS) modeling of the VSC topology, together with a classic T/4-delay-based decoupled double synchronous reference frame (DDSRF) control system. The steady-state phase shift characteristics of the T/4 delay link for each frequency component are first analyzed, and the expansion method of the DDSRF controller in the HSS frame is derived. Compared with the conventional method, the proposed technique can provide an accurate description of the steady-state effect of the delay link without introducing additional state variables and, therefore, can reduce model complexity and computation burden. Then, the small-signal close-loop HSS model of the VSC is established, and a harmonic transfer matrix between the AC positive sequence/negative sequence and DC current of different frequencies is developed, which reveals the global harmonic coupling relationship between AC and DC grids across the VSC. Analysis shows that the T/4-delay-link significantly weakens the AC-DC inter-harmonic coupling near the fundamental frequency. Finally, the electromagnetic transient simulations are carried out based on MATLAB/Simulink, and the validity of the proposed modeling method and the model and the correctness for the analysis of harmonic coupling characteristics are verified. Full article

(This article belongs to the Special Issue Planning, Operation and Control of New Power Systems)

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19 pages, 2080 KiB

Open AccessArticle

An Annual Electric Energy Trade Scheduling Model under the Dual Track Mode

by Na Zhang, Mingli Zhang, Liang Sun, Jingwei Hu, Jinqi Li and Weidong Li

Energies 2022, 15(14), 5075; https://0-doi-org.brum.beds.ac.uk/10.3390/en15145075 - 12 Jul 2022

Cited by 1 | Viewed by 904

Abstract

The annual electricity trade scheduling is the basis of long-term power generation scheduling. In recent decades, the ratio of new energy generation in China has increased annually, and the electricity market has operated under the “market electricity” and “planned electricity” double track mode in recent years. However, the existing annual electricity trade scheduling methods are extensive and cannot adapt to the new situation of “market electricity” and large-scale new energy generation. The annual scheduled energy of the power units is set as a decision variable, and a novel annual energy scheduling optimization model based on Gini coefficient of fairness is presented in this paper. In this model, “market electricity” capacity is conversed monthly, considering peaking reserve demand and monthly characteristics of new energy generation. The fairness constraint set based on Gini coefficient is introduced into the optimization model to solve various fairness problems. Simulation results show that the introduction of the Gini coefficient and the optimization model considering the monthly conversion of marketing electricity capacity can obtain more accurate and reasonable electricity distribution results, and the peaking demand can be considered more fairly and effectively. The proposed method provides a feasible solution to the annual electric energy scheduling for dual-track operation country such as China. Full article

(This article belongs to the Special Issue Planning, Operation and Control of New Power Systems)

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15 pages, 2357 KiB

Open AccessArticle

A Mid/Long-Term Optimization Model of Power System Considering Cross-Regional Power Trade and Renewable Energy Absorption Interval

by Xiaowei Ma, Zhiren Zhang, Hewen Bai, Jing Ren, Song Cheng and Xiaoning Kang

Energies 2022, 15(10), 3594; https://0-doi-org.brum.beds.ac.uk/10.3390/en15103594 - 13 May 2022

Cited by 3 | Viewed by 1323

Abstract

With the integration of large-scale renewable energy into the power grids, cross-regional power trade can play a major role in promoting renewable energy consumption, as it can effectively achieve the optimal allocation of interconnected power grid resources and ensure the safe and economic operation of the power grid. An optimization model on a mid/long-term scale is established, considering the relationship between the renewable energy absorption interval and the regulation of resources in the system. The model is based on the load block curve and the renewable energy power model, considering the maintenance constraints of conventional units, the operation constraints of conventional units and renewable energy units, cross-regional power trade constraints and system operation constraints. By analyzing the results of the adapted IEEE RELIABILITY TEST SYSTEM (IEEE-RTS), the validity of the model and method proposed in this paper is proven. The results show that the coordinated optimization of conventional energy and renewable energy in the system can be achieved, and the complementarity of power supply and load can be promoted. Full article

(This article belongs to the Special Issue Planning, Operation and Control of New Power Systems)

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21 pages, 4551 KiB

Open AccessArticle

Multi-Objective Optimal Scheduling of CHP Microgrid Considering Conditional Value-at-Risk

by Shiduo Jia and Xiaoning Kang

Energies 2022, 15(9), 3394; https://0-doi-org.brum.beds.ac.uk/10.3390/en15093394 - 06 May 2022

Cited by 7 | Viewed by 1883

Abstract

A combined heating and power (CHP) microgrid has high flexibility and economy, but the output of renewable energy is uncertain. Meanwhile, excessive flexible load adjustment in the demand response process will increase user dissatisfaction. In order to solve the above problems, this paper quantifies uncertainty with the conditional value-at-risk (CVaR) of relative disturbance. Additionally, a multi-objective optimal scheduling model that takes into account both the operating economy and the demand-side power consumption satisfaction is established. In order to solve the multi-objective mixed-integer nonlinear programming problem well, we propose an improved sparrow search algorithm (ISSA), which solves the problem that the sparrow search algorithm (SSA) is prone to low accuracy, insufficient in population diversity and easy to be trapped in local optimum. Combined with the non-dominated solution ranking method, ISSA has the ability of multi-objective optimization. Finally, simulation on a typical CHP microgrid is performed. The optimization results under different confidence levels and risk preference coefficients are compared and analyzed. When the risk preference coefficient is 0.1, 2 and 5, the minimum rotating reserve capacity is 75.17 kW, 82.83 kW, and 105.70 kW in the electric part and 40.08 kW, 59.89 kW, and 61.94 kW in the thermal part. The effectiveness of the proposed CVaR of relative disturbance is verified. Full article

(This article belongs to the Special Issue Planning, Operation and Control of New Power Systems)

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