MINLP Probabilistic Scheduling Model for Demand Response Programs Integrated Energy Hubs

Alipour, Manijeh; Zare, Kazem; Abapour, Mehdi

doi:10.1109/tii.2017.2730440

Cited by 163 publications

(85 citation statements)

References 25 publications

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“…The ILs may be shed if sufficient monetary compensation is paid. The total cost associated with the curtailment of all the ILs in a MG is calculated as follows [24]:…”

Section: Interruptible Loadsmentioning

confidence: 99%

Optimal Scheduling of a Microgrid Including Pump Scheduling and Network Constraints

et al. 2018

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This paper proposes an efficient energy management system (EMS) for industrial microgrids (MGs). Many industries deploy large pumps for their processes. Oftentimes, such pumps are operated during hours of peak electricity prices. A lot of industries use a mix of captive generation and imported utility electricity to meet their energy requirements. The MG considered in this paper includes diesel generators, battery energy storage systems, renewable energy sources, flexible loads, and interruptible loads. Pump loads found in shipyard dry docks are modelled as exemplar flexible industrial loads. The proposed EMS has a two-stage architecture. An optimal MG scheduling problem including pump scheduling and curtailment of interruptible loads (ILs) is formulated and solved in the first stage. An optimal power flow problem is solved in the second stage to verify the feasibility of the MG schedule with the network constraints. An iterative procedure is used to coordinate the two EMS stages. Multiple case studies are used to demonstrate the utility of the proposed EMS. The case studies highlight the efficacy of load management strategies such as pump scheduling and curtailment of ILs in reducing the total electricity cost of the MG.

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“…The ILs may be shed if sufficient monetary compensation is paid. The total cost associated with the curtailment of all the ILs in a MG is calculated as follows [24]:…”

Section: Interruptible Loadsmentioning

confidence: 99%

Optimal Scheduling of a Microgrid Including Pump Scheduling and Network Constraints

et al. 2018

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“…Alipour et al . proposed a new framework for implementing a DR program, for both the thermal and electrical loads, which efficiently diminishes the total cost of the hub. Herein, only the influence on the hub's economy is analyzed, while the effect of DR on energy carriers is not thoroughly investigated.…”

Section: Introductionmentioning

confidence: 99%

“…Zhang et al [8] constructed an optimal expansion planning model for an EH with multiple energy systems. Moeini-Aghtaie et al, [11] Alipour et al, [12] and Pazouki et al [13] focussed on the economic dispatch of multiple energy carriers in an EH in the presence of uncertain renewable energy resources.…”

Section: Introductionmentioning

confidence: 99%

“…Based on the derivation of the electrical DR conditions, Ahcin et al [17] adopted heat-load management to reduce emissions and energy costs for residential users, without, however, considering electrical-load flexibility. Alipour et al [12] proposed a new framework for implementing a DR program, for both the thermal and electrical loads, which efficiently diminishes the total cost of the hub. Herein, only the influence on the hub's economy is analyzed, while the effect of DR on energy carriers is not thoroughly investigated.…”

Section: Introductionmentioning

confidence: 99%

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Optimal configuration and sizing of regional energy service company's energy hub with integrated demand response

Qiu

Wang

Huang³

et al. 2018

IEEJ Transactions Elec Engng

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The growing development of interactive energy systems has motivated a regional energy service company (ESCO) to build energy hubs (EH) that play a substantial role in the coupling of various energy carriers. EH configuration optimization is critical to the economic operation of an ESCO. Therefore, this study proposes a configuration and sizing model that considers the integrated demand response (IDR) to optimize the size of the infrastructures in an EH, and hence minimize the total cost. The EH, which is composed of converters and storage units, is modelled in the matrix form, wherein the operation constraints are expressed in detail. Subsequently, an IDR program based on both responsive thermal and electrical loads is innovatively incorporated into the optimization model, and its effects on EH planning were investigated. By considering several cases: (i) we confirm the effectiveness of the IDR in terms of both cost and capacity reduction on components in the EH; (ii) we show the limited impact of the IDR on the investment cost and equipment configuration, primarily owing to constraints on the maximal total number of dispatching hours; (iii) we observe variations in the impact degree on infrastructure capacity, based on several factors including load characteristics and the electricity–gas price ratio. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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“…However, the calculations performed for these systems are similar to the probabilistic power flow (PPF) calculations in traditional power systems. They include the Monte Carlo method [12], analytical method [13], stochastic spectral analysis method [14], and approximation method [15].Generally, a Monte Carlo simulation (MCS) requires several samples to obtain good precision according to the law of large numbers; this simulation requires considerable time to compute. However, it is possible to achieve the most accurate results with an MCS; therefore, it is used as reference to measure the precision of other methods.…”

mentioning

confidence: 99%

Probabilistic Energy Flow Calculation through the Nataf Transformation and Point Estimation

Qin

Fang

et al. 2019

Applied Sciences

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Featured Application: The work presented in this paper provides methods for probabilistic energy flow calculations and will serve as a reference for the operation and maintenance of integrated energy systems.Abstract: With the increasing capacity of renewable energy sources, uncertainties regarding renewable energy and other dynamic loads in integrated energy systems (IESs) are increasing. Thus, it is necessary to study the probabilistic energy flow (PEF) of IESs. However, existing PEF calculation methods such as the point estimate method (PEM) are computationally inefficient when there are many random variables and estimated points; moreover, relatively large errors can occur when the estimated points are outside their limits. Hence, this paper presents a calculation method that addresses these problems. Because there are correlations among the variables, the Nataf transformation is employed to control the correlation quickly and effectively. A model for an IES that is interconnected with natural gas and electricity systems and accounts for the uncertainties of wind plants, photovoltaic power plants, and dynamic gas loads is presented. Correlations between wind plants and photovoltaic power plants are handled using the Nataf transformation. Finally, a modified PEM is developed to solve the PEF. For situations in which the estimated points exceed their boundaries, the power transformation and equal constraint transformation methods are used. The results of time-domain simulations demonstrate the effectiveness of the proposed approach.Appl. Sci. 2019, 9, 3291 2 of 23 challenges in terms of energy uncertainties arise. The uncertainties come from the intermittency of RESs; additionally, the volatility of the loads in different energy structures aggravate the energy uncertainties in IESs [9], which creates significant challenges for the operation and maintenance of IESs. We can determine the probabilistic distribution of each node state in the IESs by calculating the probabilistic energy flow, which provides guidance to address possible risks. Therefore, the probabilistic energy flow (PEF) in IESs must be studied.The basis of PEF is the calculation of steady-state energy flow (SSEF), which has been studied extensively. Because of the similarity between the SSEF model of the power system and the gas network, Newton's method can be used to solve the SSEF of the gas network. When the initial point of Newton's method is near the equilibrium point, the method has good and fast convergence. Moreover, the IES mostly works near the equilibrium point. Therefore, Newton's method is a commonly used method for solving the energy flow problem. Moreover, the solutions obtained using this method for multiple energy systems can be divided into two forms according to the Jacobian matrices used in the solution, i.e., separate Newton iterations for each system [10] or a unified Newton iteration for all systems [11]. In [10], each energy system (e.g., power system or natural gas system) is represented by its own Jacobian matrix and inde...

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MINLP Probabilistic Scheduling Model for Demand Response Programs Integrated Energy Hubs

Cited by 163 publications

References 25 publications

Optimal Scheduling of a Microgrid Including Pump Scheduling and Network Constraints

Optimal Scheduling of a Microgrid Including Pump Scheduling and Network Constraints

Optimal configuration and sizing of regional energy service company's energy hub with integrated demand response

Probabilistic Energy Flow Calculation through the Nataf Transformation and Point Estimation

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