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Truncated Strategy Based Dynamic Network Pricing for Energy Storage

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Journal of Modern Power Systems and Clean Energy 2023年第2期11卷 544-552页

作者： Xiaohe Yan Hongcai Zhang chenghong gu Nian Liu Furong Li Yonghua Song State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University) BeijingChina State Key lab of Internet of Things for Smart City University of MacaoMacaoChina Department of Electronic and Electrical Engineering University of BathBathU.K.

With the increasing penetration of local renewable energy and flexible demand,the system demand is more unpredictable and causes network overloading,resulting in costly system investment.Although the energy storage(ES)helps reduce the system peak power flow,the incentive for ES operation is not sufficient to reflect its value on the system investment deferral resulting from its operation.This paper designs a dynamic pricing signal for ES based on the truncated strategy under robust operation corresponding to the network charge reduction.Firstly,the operation strategy is designed for ES to reduce the total network investment cost considering the uncertainties of flexible load and renewable energy.These nodal uncertainties are converted into branch power flow uncertainties by the cumulant and Gram-Charlier expansion strategy.Then,a time of use(ToU)pricing scheme is designed to guide the ES operation reflecting its impact on network investment based on the longrun investment cost(LRIC)pricing scheme.The proposed To U LRIC method allocates the investment costs averagely to network users over the potential curtailment periods,which connects the ES operation with network investment.The curtailment amount and the distribution of power flow are assessed by the truncated strategy considering the impact of uncertainties.As demonstrated in a Grid Supply Point(GSP)distribution network in the UK,the network charges at the peak time reduce more than 20%with ES operation.The proposed method is cost-reflective and ensures the fairness and efficiency of the pricing signal for ES.

关键词： Energy storage network investment renewable energy robust optimization uncertainty

A Multi-objective Chance-constrained Information-gap Decision Model for Active Management to Accommodate Multiple Uncertainties in Distribution Networks

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Journal of Modern Power Systems and Clean Energy 2023年第1期11卷 17-34页

作者： Shida Zhang Shaoyun Ge Hong Liu Junkai Li chenghong gu Chengshan Wang School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China Department of Electrical and Electronic Engineering University of BathBath BA27AYU.K

The load demand and distributed generation(DG)integration capacity in distribution networks(DNs)increase constantly,and it means that the violation of security constraints may occur in the future.This can be further worsened by short-term power fluctuations.In this paper,a scheduling method based on a multi-objective chance-constrained information-gap decision(IGD)model is proposed to obtain the active management schemes for distribution system operators(DSOs)to address these problems.The maximum robust adaptability of multiple uncertainties,including the deviations of growth prediction and their relevant power fluctuations,can be obtained based on the limited budget of active management.The systematic solution of the proposed model is developed.The max term constraint in the IGD model is converted into a group of normal constraints corresponding to extreme points of the max term.Considering the stochastic characteristics and correlations of power fluctuations,the original model is equivalently reformulated by using the properties of multivariate Gaussian distribution.The effectiveness of the proposed model is verified by a modified IEEE 33-bus distribution network.The simulation result delineates a robust accommodation space to represent the adaptability of multiple uncertainties,which corresponds to an optional active management strategy set for future selection.

关键词： Active management distribution network multiple uncertainties information gap decision theory chance constraint

Formulation of Locational Marginal Electricity-carbon Price in Power Systems

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CSEE Journal of Power and Energy Systems 2023年第5期9卷 1968-1972页

作者： Junlong Li Yue Xiang chenghong gu Wei Sun Xiangyu Wei Shuang Cheng Junyong Liu the Department of Electronic and Electrical Engineering University of BathBathUK the College of Electrical Engineering Sichuan UniversityChengduChina the School of Engineering University of EdinburghEdinburghUK

Decarbonisation of power systems is essential for realising carbon neutrality,in which the economic cost caused by carbon needs to be qualified.Based on the formulation of locational marginal price(LMP),this paper proposes a locational marginal electricity-carbon price(EC-LMP)model to reveal carbon-related costs caused by power consumers.A carbon-priceintegrated optimal power flow(C-OPF)is then developed to maximise economic efficiency of the power system considering the costs of electricity and carbon.Case studies are presented to demonstrate the new formulation and results demonstrate the efficacy of the EC-LMP-based C-OPF on decarbonisation and economy.

关键词： Carbon abatement cost carbon tariff locational marginal electricity-carbon price locational marginal price optimal power flow

Power to gas:addressing renewable curtailment by converting to hydrogen

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Frontiers in Energy 2018年第4期12卷 560-568页

作者： Xiaohe YAN Xin ZHANG chenghong gu Furong LI Department of Electronic and Electrical Engineering University of BathClaverton DownBathBA27AYUK Electricity National Control Centre National GridWokinghamRG415BNUK

Renewable energy is the key to meeting increasing electricity demand and the decarburization targets in the generation mix. However, due to constrained power network capacity, a large volume of renewable generation is curtailed particularly from wind power, which is a huge waste of resources. There are typically three approaches to addressing excessive renewable: direct curtailment, the reinforcement of networks to expand transfer capacity, and the conversion of excessive renewable into other energy types, such as hydrogen, to transport. The costs and benefits of the three approaches could vary significantly across location, time, and penetration of renewable energy. This paper conducts a cost-benefit analysis and comparison of the three techniques to address wind curtailment. It uses a reduced 16-busbar UK transmission network to analyze the performance of the three approaches. The UK 2020 generation mix is used to quantify the saved renewable energy and incurred costs. The payback time and net present value of the two investment techniques are compared. From demonstration, it is reasonable to conclude that converting excessive wind power into hydrogen to transport is an environmentally friendly and cost-effective way to address wind curtailment.

关键词： blending hydrogen cost-benefit analysis electrolysis wind curtailment

Global optimal polynomial approximation for parametric problems in power systems

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Journal of Modern Power Systems and Clean Energy 2019年第3期7卷 500-511页

作者： Yongzhi ZHOU Hao WU chenghong gu Yonghua SONG College of Electrical Engineering Zhejiang UniversityHangzhouChina Department of Electrical and Electronics Engineering University of BathBathU.K. Department of Electrical and Computer Engineering University of MacaoMacaoChina

The influence of parameters on system states for parametric problems in power systems is to be evaluated.These parameters could be renewable generation outputs,load factor, etc. Polynomial approximation has been applied to express the nonlinear relationship between system states and parameters, governed by the nonlinear and implicit equations. Usually, sampling-based methods are applied, e.g., data fitting methods and sensitivity methods,etc. However, the accuracy and stability of these methods are not guaranteed. This paper proposes an innovative method based on Galerkin method, providing global optimal approximation. Compared to traditional methods, this method enjoys high accuracy and stability. IEEE 9-bus system is used to illustrate its effectiveness, and two additional studies including a 1648-bus system are performed to show its applications to power system analysis.

关键词： Parametric problems Polynomial approximation Galerkin method Global approximation Optimal approximation Load flow problems

Energy internet technology:modeling,optimization and dispatch of integrated energy systems

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Frontiers in Energy 2018年第4期12卷 481-483页

作者： Shilie WENG chenghong gu Yiwu WENG School of Mechanical Engineering Shanghai Jiao Tong UniversityShanghai 200240China Department of Electronic &Electrical Engineering University of BathBathBA27AYUK

With the rapid development of the information technology and the application of renewable energy, the energy internet, which has been widely accepted as a means of integrating energy flow, information flow, and business flow, is prone to be the future form of energy system. However, it is a new system, never existed in human history. Therefore, from philosophical imagination to engineering realization, there are many scientific and technical problems, waiting to be solved. The purpose of this special issue is to demonstrate the recent research works on energy internet, as well as some proposals and suggestions to decision makers for strategic planning.

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An integrated multi-energy flow calculation method for electricity-gas-thermal integrated energy systems

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Protection and Control of Modern Power Systems 2021年第1期6卷 65-76页

作者： Mengting Zhu Chengsi Xu Shufeng Dong Kunjie Tang chenghong gu College of Electrical and Engineering Zhejiang UniversityZhejiangChina The Department of Electronic and Electrical Engineering University of BathBathBA27AYUK

The modeling and multi-energy flow calculation of an integrated energy system (IES) are the bases of its operation and planning. This paper establishes the models of various energy sub-systems and the coupling equipment for an electricity-gas-thermal IES, and an integrated multi-energy flow calculation model of the IES is constructed. A simplified calculation method for the compressor model in a natural gas network, one which is not included in a loop and works in constant compression ratio mode, is also proposed based on the concept of model reduction. In addition, a numerical conversion method for dealing with the conflict between nominal value and per unit value in the multi-energy flow calculation of IES is described. A case study is given to verify the correctness and speed of the proposed method, and the electricity-gas-thermal coupling interaction characteristics among sub-systems are studied.

关键词： Integrated energy system Integrated multi-energy flow calculation Newton-Raphson Compressor Per unit value and nominal value

Economic optimization of smart distribution networks considering real-time pricing

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Journal of Modern Power Systems and Clean Energy 2014年第4期2卷 350-356页

作者： Hong ZHANG Dongmei ZHAO chenghong gu Furong LI Bo WANG North China Electric Power University Beijing 102206China University of Bath Bath BA27AYUK

With the development of smart meters,a realtime pricing(RTP)demand response is becoming possible for households in distribution networks.The power flow can be bidirectional in distribution networks which become smarter with distributed generators(DGs).It is expensive to import electricity from the generation far from load centers because of the cost of power loss and network use,so that it is more economical to use electricity generated by local distributed generators.Therefore,in order to curtail operating costs of distribution networks,this paper proposes a model of economic optimization conducted by distribution network operators.The electricity purchasing costs for distribution network operators are minimized by optimizing electric power from transmission systems and local distributed generators.Further,based on price elasticity,the formulations of load demand considering RTP are proposed with economic optimization of distribution networks.The economic optimization problems are resolved by an interior point method.The case study shows that peak load demand can be reduced about 3.5%because the household RTP and electricity purchasing costs of distribution network operators can save 28.86£every hour.

关键词： Distribution network Economic operation Electricity cost Real-time pricing

Transmission Use of System Charging for Differentiating Long-term Impacts from Various Generation Technologies

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CSEE Journal of Power and Energy Systems 2016年第2期2卷 11-19页

作者： Jiangtao Li chenghong gu Rohit Bhakar Furong Li Department of Electronic and Electrical Engineering University of BathBathBA27AYU.K.

This paper proposes a novel transmission use of system(TUoS)charging method,which is able to 1)acknowledge the trade-offs between short-run congestion cost and long-run investment cost when justifying economic network investment,2)identify the impacts of different generation technologies on congestion cost and network investment,and 3)translate these impacts into economically efficient TUoS tariffs that differentiate generation technologies.An incremental capacity change from a generator will impact the congestion costs at each branch,which is then translated into the impacts on investment time horizons.The difference in the present values with and without the incremental change for a branch is its long-run incremental cost(LRIC).The final TUoS tariff for this generator is the sum of all LRIC triggered by its capacity increment.The proposed method is demonstrated on a modified IEEE 14-bus system to show its effectiveness over the traditional approach.Results show that it can provide cost-reflective TUoS tariffs for different generation technologies at the same sites by examining their respective impacts on congestion and investment.It thus can incentivize appropriate generation expansion to reduce congestion costs and ultimately network investment cost.

关键词： Congestion cost allocation congestion management long-run incremental cost transmission investments transmission use of system charging