Load Growth Research Articles

A Comparative Study of DG Impacts on Power System Stability under Equal and Unequal Load Growth Scenarios

The distributed generation (DG) technology is developed to meet the increasing load demand at a load centre by exploring locally available energy sources, including renewables. Although DG technology offers many technical and economic benefits, certain issues need further research. The impact of DG penetration on the system’s stability is one such issue that requires significant attention in power system research. This study investigates the impact of DG penetration on the system’s small-signal and transient stability under equal and unequal load growth scenarios. The unequal load growth condition is simulated by employing an orthogonal array (OA), and the impact of DG penetration on small-signal stability is analyzed through critical eigenvalues while time-domain indicators were employed to analyze transient stability. The importance of unequal load growth conditions while evaluating the impact of DG penetration on stability is demonstrated on a 3 generators, 9 bus WSCC power system.

Technical and financial analysis of large-scale solar-PV in eThekwini Municipality: Residential, business and bulk customers

Regulatory changes, economic challenges, environmental concerns, and changing public perception have contributed to the profound changes observed globally in the electricity industry. Since 2008, South Africa has been experiencing electric power deficits and outages. This has been due in part to generation capacity constraints, belated investment in new electricity infrastructure, deferred maintenance of existing power assets, load growth in areas which were not adequately planned for, high population and economic growth over the last two decades. This has resulted in peak electricity demand outstripping available power generation capacity, leading to electricity shortages and load shedding, which is now impeding economic growth. In South Africa, forced under frequency load shedding, rising electricity tariffs, energy efficiency, declining cost of solar PV systems, the introduction of Carbon taxes, high cost of unserved energy has led consumers to explore embedded generation options to assist with reducing their energy bills, hence investments in solar PV has become an option to municipal customers. The simple payback period of solar PV systems is an important indicator for customers to ascertain whether to invest in these systems or not. Revenue loss remains a significant concern for municipalities who have historically designed single and two-rate bundled tariffs, which rely on municipalities selling electricity to ensure its business’s sustainability. Municipalities have now proposed new tariff structures designed to minimize the adverse impact of reducing electricity sales from solar PV by creating net billing tariffs with a built in network access charge component based on the customer’s inverter size. Case studies were carried out to better understand the impact on the feasibility of solar PV systems with and without the implementation of these new tariffs and its impact on the customer’s payback periods. A calculation of the levelised cost of electricity and customers rate of return for the different customer classes were also calculated to provide a better picture on the financial feasibility of rooftop solar PV. Results obtained from these case studies indicate lucrative payback periods for customers installing solar PV systems with improved revenue recovery for the municipality.

On applicability of MQ-RPIM and MLPG meshless methods with 3D extended-enriched base functions for estimation of mode I stress intensity factor and fatigue crack growth in cyclic tensile and bending load of an un-notched and notched shaft

In this study, a numerical meshless method is used to solve the weak form of the linear elastic equations in solid mechanics. Evaluation and comparison of the numerical meshless methods have been carried out via the radial point interpolation meshless method with multi-quadrics base functions (MQ-RPIM) and meshless local Petrov-Galerkin method (MLPG). Using these two methods, stress intensity factors in an elastic medium containing geometric discontinuities and cracks are estimated based on tensile and bending cyclic loading. The analysis domain has been identified via three-dimensional modeling of the notched and un-notched shafts with an initial surface semi-elliptical crack subjected to tensile or bending cyclic loadings. To enhance the accuracy of calculations, the RPIM meshless method is applied using polynomial and extended-enriched 3D base functions. Shape functions have been developed using standard and optimal parameters and values with Mono-Objective Function in PSO algorithm. In the MLPG meshless method with the extended-enriched functions, discretization is performed via direct and penalty factor methods, to reach more efficient results and meet the boundary conditions. Efficiency comparison of the selected numerical methods with the experimental findings and the numerical analysis of finite elements method indicates that in comparison with the MLPG method, MQ-RPIM enriched meshless method can be utilized with fewer nodes in the analysis domain while reaching the accuracy and convergence with lower stress intensity factors and gentler slope. However, the processing time of the MLPG meshless method is lower than that of the other methods.

33. Biomechanical analysis of the novel active apex correction technique using a patient specific finite element approach with 6-month follow-up

<h3>BACKGROUND CONTEXT</h3> Traditionally, SHILLA and growing rods have been the 2 mainstays for surgical treatment of early onset scoliosis (EOS) patients. Multiple studies have previously highlighted the shortcomings of both techniques; the SHILLA suffer a loss of correction or reappearance of deformity through crank-shafting or adding-on (eg, distal migration) and growing rods require multiple reoperation with additional complications. Newer techniques like the active apex correction (APC) provide an excellent surgical alternate; designed to reduce the prevalence of above complication by avoiding apical fusion amongst other benefits. The current study builds on earlier clinical studies on the APC technique, exploring the clinical of the technique using a finite element (FE) approach. <h3>PURPOSE</h3> The objective is to simulate and explore the effect of apical remodulation using the APC technique over a 6-month follow-up period for 2 patient-specific FE models. <h3>STUDY DESIGN/SETTING</h3> A patient-specific, FE study simulating APC with 6-months follow-up. <h3>METHODS</h3> Two representative scoliotic models were developed to match patient AP and lateral radiographs provided by the surgeon. To simulate the APC technique; the apex was pushed medially followed by compression of the convex side of apex (using 2 screws implanted proximal and distal to the most wedged vertebrae). The rest of construct was then completed to simulate the APC (patient 1 had a dual compression done at primary and secondary curves). The model then simulated the effect of gravity and muscle forces, followed by epiphyseal spinal growth based on the Hueter-Volkmann principle. Relevant clinical output parameters such as primary cobb, AVT, vertebral wedging etc. were recorded for these two models and compared with the clinical data (as available). To ensure clinical relevance, at each step the model inputs and process were checked by a surgeon who regularly performs APC. <h3>RESULTS</h3> Both patient 1 and 2 showed a significant reduction in the Cobb angle (24° and 15°, respectively) for the primary curve following the APC surgery. The AVT was significantly reduced with the surgical correction (∼ 50% in both cases). Additionally, the vertebral wedging in the apical region was significantly reduced due to the APC technique for both patients. Kyphotic angles (T4-T12) were also reduced by 50 % and 40% for patient 1 &2 respectively. Furthermore, at the gravity loading and 6-month spinal growth time points, the output parameters showed a consistent maintenance of the correction achieved by the APC technique (reduction in the Cobb angle, vertebral wedging and translation) for both patients. <h3>CONCLUSIONS</h3> The output parameters from the FE models suggest excellent clinical outcomes; maintenance of coronal correction, reduction in AVT and apical vertebral wedging. While this study is limited in terms of follow-up time as well as sample size, it paves the way for additional research expanding the preliminary results to get a broader biomechanical understanding of the APC. At the same time, the results showcase the enormous potential of this novel technique as a legitimate alternative to incumbent techniques, that can be employed by spine surgeons across the world in an easy, effective and cost-effective manner. <h3>FDA DEVICE/DRUG STATUS</h3> This abstract does not discuss or include any applicable devices or drugs.

Long-Term Variation Assessment of Aerosol Load and Dominant Types over Asia for Air Quality Studies Using Multi-Sources Aerosol Datasets

Long-term (2000–2019) assessment of aerosol loads and dominant aerosol types at spatiotemporal scales using multi-source datasets can provide a strong impetus to the investigation of aerosol loads and to the targeted prevention control of atmospheric pollution in densely populated regions with frequent anthropogenic activities and heavy aerosol emissions. This study uses multi-source aerosol datasets, including Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA-2), Moderate Resolution Imaging Spectroradiometer (MODIS), and Aerosol Robotic Network (AERONET), to conduct a long-term variation assessment of aerosol load, high aerosol load frequency, and dominant aerosol types over Asia. The results indicate that regional aerosol type information with adequate spatial resolution can be combined with aerosol optical depth (AOD) values and heavy aerosol load frequency characterization results to explore the key contributors to air pollution. During the study period, the aerosol load over the North China Plain, Central China, Yangtze River Delta, Red River Delta, Sichuan Basin, and Pearl River Delta exhibited an increasing trend from 2000–2009 due to a sharp rise in aerosol emissions with economic development and a declining trend from 2010–2019 under stricter energy conservation controls and emissions reductions. The growth of urban/industrial (UI) type and biomass burning (BB) type aerosol emissions hindered the improvement of the atmospheric environment. Therefore, in future pollution mitigation efforts, focus should be on the control of UI-type and BB-type aerosol emissions. The Indus–Ganges River Plain, Deccan Plateau, and Eastern Ghats show a continuously increasing trend; however, the aerosol load growth rate of the last decade was lower than that of the first decade, which was mainly due to the decrease in the proportion of the mixed type aerosols.

Fractional order PI control combined with improved frequency droop method for power management in standalone LVDC microgrids

According to increasing growth of DC loads, DC microgrids (MGs) have an effective role in future power systems. Improvement of power management is one of the important issues in DC MGs. In this paper, in order to provide an accurate power management in standalone low-voltage DC (LVDC) MG, including photovoltaics (PVs) and battery energy storage systems (BESSs), an AC component is superimposed to the output voltage of DC-DC converters by inspecting the frequency droop control of the synchronous generators. In addition, two corrective terms based on the calculation of AC active and reactive powers are added to this AC component, which is named improved frequency droop method (IFDM). Different operating modes for PV system comprising maximum power point tracking (MPPT) and voltage control mode (VCM); and BESS consisting of charge, discharge, and idle are considered in the proposed power management scheme based on the state of charge (SoC) of local BESS. On the other hand, the conventional proportional-integral (PI) controllers in DC-DC converters' control structure present poor transient dynamic performance and low loading level. Hence, fractional order PI (FOPI) controllers are designed by optimization of integral time absolute error (ITAE) criteria. The effectiveness of the proposed FOPI controllers combined with IFDM scheme is evaluated by simulations conducted in MATLAB/SIMULINK software. The FOPI-IFDM approach provides accurate current sharing and better voltage regulation without dependence on communication link in comparison with PI-IFDM under load, line impedance, and solar irradiance variations.

Heavy Metals in Organs and Tissues of Silver X Bigheads Carp Hybrid as Indices of Anthropogenic Pressure in Areas with a High Level of Urbanization

The growth of man-caused load on natural objects, including surface waters, gave impetus to the studying for issue of water pollution in Ukraine by various pollutants. Especially relevant for us are the studies of fishery reservoirs as a direct environment for growing quality aquaculture products. Among the toxic compounds contained in reservoirs, one of the first places is occupied by heavy metals. On the one hand, heavy metals, as pollutants in natural waters, pose a great danger because even in relatively small concentrations they can adversely affect aquatic organisms. On the other hand, in microquantities most heavy metals (except mercury, cadmium and lead) are a natural and even essential component of living cells of aquatic organisms, including fish [17,19].Zn, Mn, Fe, Cu, Pb, Co, Ni, Cd in the organs and tissues of the bighead carphybrid form, which was cultivated in ponds from highly urbanized territory, are distributed heterogeneously and their level of content depends not only on the physical and chemical characteristics of the aquatic environment or this heavy metals biochemical activities force in fish organisms, but also on functional features of concrete organs and tissues of the latter. Results of our investigations showed that above mentioned heavy metals were characterised by high levels of content in the organs and tissues of hybrid silver x bigheadcarp. Highest content in organism of hybrid are lead, cobalt, and cadmium. Highest concentration of heavy metals in our investigations was recorded in gills, because it is the first defence line of fish organism from environmental pollutants.

Heavy Metals in Organs and Tissues of Silver X Bigheads Carp Hybrid as Indices of Anthropogenic Pressure in Areas with a High Level of Urbanization

The growth of man-caused load on natural objects, including surface waters, gave impetus to the studying for issue of water pollution in Ukraine by various pollutants. Especially relevant for us are the studies of fishery reservoirs as a direct environment for growing quality aquaculture products. Among the toxic compounds contained in reservoirs, one of the first places is occupied by heavy metals. On the one hand, heavy metals, as pollutants in natural waters, pose a great danger because even in relatively small concentrations they can adversely affect aquatic organisms. On the other hand, in microquantities most heavy metals (except mercury, cadmium and lead) are a natural and even essential component of living cells of aquatic organisms, including fish [17,19].Zn, Mn, Fe, Cu, Pb, Co, Ni, Cd in the organs and tissues of the bighead carphybrid form, which was cultivated in ponds from highly urbanized territory, are distributed heterogeneously and their level of content depends not only on the physical and chemical characteristics of the aquatic environment or this heavy metals biochemical activities force in fish organisms, but also on functional features of concrete organs and tissues of the latter. Results of our investigations showed that above mentioned heavy metals were characterised by high levels of content in the organs and tissues of hybrid silver x bigheadcarp. Highest content in organism of hybrid are lead, cobalt, and cadmium. Highest concentration of heavy metals in our investigations was recorded in gills, because it is the first defence line of fish organism from environmental pollutants.

A Calculation Method of Power System Static Stability Margin

This paper establishes a hybrid power network equation with node voltage and branch current as state variables. The characteristic equation representing the stable boundary of the system is derived. Then the boundary conditions of static stability of the power system on the critical circle of voltage static stability are formed. Find the closest distance equation between the load point and the corresponding stable boundary through geometric analysis. The introduction of the distance equation avoids artificially setting the direction of load growth. The distance equation and boundary characteristic equation are added to the hybrid power network equations as additional equations for analyzing the minimum load boundary. The equations are solved by Newton's iterative algorithm. In order to avoid the Jacobian matrix singularity near the load boundary, the algorithm adopts the method of replacing the critical point in the Jacobian matrix to calculate. The simulation results show that the method is correct and effective.

Multi-stage stochastic planning of regional integrated energy system based on scenario tree path optimization under long-term multiple uncertainties

Planning a regional energy system based on the advantages of different types of energies and building an economic and efficient regional integrated energy system (RIES) are hot research subjects in the energy planning field. The call for using clean energy and attaining carbon neutrality worldwide has also attracted research attention in the field of low-carbon and clean planning. Because of the growth of the energy system construction cycle together with the utilization of various types of energies, multi-stage planning considering the uncertainty and construction time sequence in a long time scale has gradually become the primary research direction for planning RIES. The uncertainty of multi-energy load growth and the energy price fluctuation in a long time scale considerably affects the construction and economy of the final planning scheme. Aiming to solve the problems of incomplete load data, low accuracy of single load forecasting, and weak regularity of the energy price fluctuation, this study proposes a multi-stage scenario tree generation method based on the conditional generative adversarial network–random forest–Markov chain. And a method of energy price upper and lower boundary determination is based on the multi-index artificial neural network method for analyzing and solving energy price fluctuation. A multi-stage stochastic planning model of RIES is built herein to minimize the comprehensive cost, including the construction investment and regional operation costs, energy hub income, and carbon emission reduction. Finally, the Beichen district of Tianjin, China is considered a case for verifying the effectiveness and applicability of the proposed model and method. Results show that the construction time sequence of the energy hub substantially affects the planning scheme. Energy hub construction in advance benefits the energy hub income and carbon emission reduction; however, the initial stage requires more investment, which affects the planning and construction of renewable energy. Compared with a single-stage deterministic planning scheme, the optimized multi-stage stochastic planning scheme reduces the number of idle facilities and benefits cost recovery, energy hub income, coverage scenarios, and carbon emission reduction.

A Multi-objective Optimization Framework for Dynamic Planning of Energy Hub Considering Integrated Demand Response Program

The integrated operation of multi-carrier energy systems has attracted special attention due to its increased efficiency, improved flexibility and reduced pollution. It should be noted that accurate and optimal design of these systems will have a high impact on their optimal operation. Hence, this paper presents a multi-objective optimization framework for long-term planning of energy hub, in which equipment degradation and integrated demand response (IDR) programs are considered. The planning problem has been solved for 20 years and all short-term operation constraints have been taken into account. The problem is modeled using the fuzzy max-min method as a three-objective optimization problem, in which the objective functions include total cost, emission and hub losses. The simulation results demonstrate that the IDR program has reduced the total cost by about 9% by reducing equipment capacity and operating costs. In addition, the results illustrate that the reduction of 29% and 31% of losses and emission, led to a 49% increase in total costs. Overall, the results demonstrate that the proposed model, considering the equipment degradation and the annual load growth, leads to the optimal design of the hub structure and guarantees the supply of load until the end of the planning period.

Response of Power Load to Meteorological Factors: an Empirical Study from Anhui, China

Based on the 15min-by-15min power load in Anhui Province from 2016 to 2018 and the daily meteorological data in the same period, the response of power load to climate change is analyzed. On the basis of calculating weather load rate, CDD, and HDD, multivariate regression analysis, time series linear regression analysis establishes a multivariate regression model and a time-fixing effect model of electroculation temperature response, respectively. The results show that the change of temperature has a significant effect on power load. Humidity also has a significant impact on load changes in months with warming demand. CDD and HDD play a positive role in the growth of inter-provincial power load, and the elasticity coefficient of CDD is less than that of HDD. The basic results have passed the robustness test.

Optimal Power Flow in Deregulated Power Systems by Using Optimization Techniques

An independent system operator tasked with providing equitable and fair transmission services in an open-market context has a challenging job in dynamic security-constrained dispatch of an electric power network. This study proposes a new methodology based on the optimal flow of power and swarming mode, which is restricted by iterative stability. In addition to the static and dynamic functional constraints, dynamic margin needs in relation to normal condition and contingencies, particle swarm and moth swarm optimizations are used to optimize social welfare. Furthermore, because the pattern of load growth in the current market environment is difficult to forecast, a new approach for estimating the sensitive loading direction linked with a dynamic loading margin is presented. To demonstrate and test the suggested approach, an IEEE 14-bus test system with both supply and demand bids is utilized.

Activating the potential of decentralized flexibility and energy resources to increase the EV hosting capacity: A case study of a multi-stakeholder local electricity system in Norway

The increasing amount of flexible load in the energy system represents both a challenge and an opportunity. One primary source of load growth is the electrification of the transport sector and the subsequent charging of electric vehicles, which is a load type that can potentially adjust their load profiles. However, to activate the full potential of end-user flexibility, it is necessary to develop pricing mechanisms that can promote efficient load responses on a larger scale. In this paper, a trading mechanism is proposed and analysed within a capacity-based grid tariff scheme by formulating a game-theoretic framework that includes decentralized decision-making by self-interest pursuing end-users. The model is applied to a real-world case in Norway, and it is demonstrated how electrification of vehicles can be achieved with the existing infrastructure. It is found that capacity-based grid tariffs have a limited ability to reduce the coincident peak load in the system since they mainly incentivize individual peak load reductions. However, by including a capacity trading mechanism within the capacity-based tariff structure, we demonstrate that it is possible to increase the value of flexibility since the flexible end-users are incentivized to coordinate their flexibility dispatch with other stakeholders.

Optimum Distribution System Expansion Planning Incorporating DG Based on N-1 Criterion for Sustainable System

Demand for continuous and reliable power supply has significantly increased, especially in this Industrial Revolution 4.0 era. In this regard, adequate planning of electrical power systems considering persistent load growth, increased integration of distributed generators (DGs), optimal system operation during N-1 contingencies, and compliance to the existing system constraints are paramount. However, these issues need to be parallelly addressed for optimum distribution system planning. Consequently, the planning optimization problem would become more complex due to the various technical and operational constraints as well as the enormous search space. To address these considerations, this paper proposes a strategy to obtain one optimal solution for the distribution system expansion planning by considering N-1 system contingencies for all branches and DG optimal sizing and placement as well as fluctuations in the load profiles. In this work, a hybrid firefly algorithm and particle swarm optimization (FA-PSO) was proposed to determine the optimal solution for the expansion planning problem. The validity of the proposed method was tested on IEEE 33- and 69-bus systems. The results show that incorporating DGs with optimal sizing and location minimizes the investment and power loss cost for the 33-bus system by 42.18% and 14.63%, respectively, and for the 69-system by 31.53% and 12%, respectively. In addition, comparative studies were done with a different model from the literature to verify the robustness of the proposed method.

Total supply and accommodation capability curves for active distribution networks: Concept and model

This paper proposes the concept and model of total supply capability (TSC) curve and total accommodation capability (TAC) curve, which is a novel approach to assess the overall capability of an active distribution network (ADN) based on distribution system security region (DSSR). The TSC curve describes the full load supply capability while the TAC curve depicts the full distributed generation (DG) accommodation capability. For the TSC curve and the TAC curve, an ADN has both the upper curves and the lower curves, because both growth and reduction of either load or DG may result in security criticality, and form the upper and lower security boundaries, respectively. A simple test system and IEEE 33-node test system are used to demonstrate the proposed concepts and models. The TAC curve is compared with existing methods to show its advantages and applications. Additionally, it is found that supply capability and accommodation capability are dual; and the operational conditions of the ADN are divided by the four TSC/TAC curves.

In-vitro model for bacterial growth inhibition of compartmentalized infection treated by an ultra-high concentration of antibiotics.

BackgroundPseudomonas aeruginosa (P. aeruginosa), Escherichia coli (E. coli), and Staphylococcus aureus (S. aureus) are common pathogens encountered in infected cardiovascular-implantable electronic device (CIED). Continuous, in-situ targeted, ultra-high concentration antibiotic (CITA) treatment is a novel antibiotic treatment approach for localized infections. CITA provides sufficient local antibiotic concentrations to heavily infected cavities while avoiding systemic toxicity.AimIn-vitro confirmation of the efficacy of the CITA treatment approach in simulated compartmentalized infections.Materials and methodsA rapid automated bacterial culture analyzing system) Uro4 HB&L™ (was applied to compare the efficacy of selected antibiotics at a standard minimal inhibitory concentration (1MIC), 4MIC, and CITA at 103MIC, for growth inhibition of high bacterial loads (106 colony-forming-units/ml) of ATCC strains of P. aeruginosa, E. coli, and S. aureus.ResultsThe addition of gentamicin and amikacin at 1MIC concentrations only temporarily inhibited the exponential growth of E. coli and P. aeruginosa. 4MIC level extended the delay of exponential bacterial growth. Increasing concentrations of vancomycin similarly temporarily delayed S. aureus growth. All tested antibiotics at CITA of 103MIC totally inhibited the exponential growth of the tested bacteria through 72 hours of exposure. (P<0.001).ConclusionIn this in-vitro model, CITA at 103MIC effectively inhibited exponential bacterial growth of high loads of P. aeruginosa, E. coli, and S. aureus. This model offers preliminary laboratory support for the benefit of the in-situ antibiotic treatment, providing ultra-high concentrations directly at the compartmentalized infection site, not achievable by the conventional intravenous and oral routes.

A statistical methodology to identify imbalance-induced capacity wastes for LV networks

Phase imbalance (i.e., load imbalance among the three phases) causes inefficient use of three-phase distribution assets, resulting in additional reinforcement costs (ARCs) compared to if the three phases were balanced. However, two problems remain unresolved when calculating the ARC: 1) previous ARC formulas assume that the three-phase total peak and the single-phase peak current occur simultaneously, thus causing an underestimation of the ARC; and 2) previous formulas calculate ARC as a point value, using one year's peak load. However, the point value is not credible in supporting making investment decisions on phase balancing. This is because the growth of the yearly peak load is inconsistent over the years – the growth could be positive or negative over the years for low voltage (415 V, LV) networks. To address the above problems, this paper originally develops 1) an updated ARC formula; and 2) a customised approach, named as the cluster-wise probability assessment, to deliver a distribution and confidence range of ARCs for any given LV network. This approach only requires the yearly average current and single-phase peak current, making it applicable to the majority of the LV networks that have a minimal amount of data. Case studies also identify a counterintuitive finding of how the yearly single-phase peak current and the yearly average phase current impact the ARCs.

Distribution power loss minimization via optimal sizing and placement of shunt capacitor and distributed generator with network reconfiguration

The population is speeding up and the demands for electrical energy are clearly increasing, this growth in load leads to higher power loss and Voltage drop. This paper is focused on a method to decrease the power losses and voltage profile improvement. The first suggested technique binary particle swarm optimization BPSO is utilized for solving the problem of the power loss minimization in network distribution. This work based on optimum position and sizing of the distribution generation (DG) units, shunt capacitor (SC) with network reconfiguration is applied to show the improvement of the network distribution efficiency. The MATLAB programming part and software package MATPOWER7 are used to simulate 69-bus and 33-bus test system with three different cases of loads and different number of DG and SC. The result showed a positive impact on system efficiency in comparison with other previous studies. This paper showed that increase of DG and capacitor does not usually give the best result although the increase of system cost, maintenance, and the units' distance for gas supplying.

Optimal Scheduling Model of Virtual Power Plant and Thermal Power Units Participating in Peak Regulation Ancillary Service in Northeast China

In recent years, the rapid development of wind power generation and the low load growth rate have brought challenges to the peak regulation of power grid in Northeast China. In order to solve the peak regulation problem, virtual power plant (VPP) is proposed to participate in the peak regulation auxiliary service market in Northeast china, especially for deep peak regulation. Firstly, two modes of peak regulation in Northeast China are introduced in this paper, which are thermal power unit and VPP. With the definition of the peak regulation capacity for VPP, the Optimal Scheduling Model of VPP participating in peak regulation ancillary service is established. The simulations are carried out in MATLAB. The results show that the economy of peak regulation is significantly improved in peak regulation auxiliary service based on VPP.