Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification

Iglesias, Félix; Pálenský, Peter; Cantos, Sergio; Kupzog, Friederich

doi:10.3390/en5114517

Cited by 19 publications

(9 citation statements)

References 16 publications

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“…1 Cost savings from the retail market. 2 Cost savings from the wholesale market. 1 Cost savings from the retail market.…”

Section: Test Resultsmentioning

confidence: 99%

“…Thus, demand-side management (DSM), which involves control of the demand for the various operations, is one of the alternatives to the expansion approach. Through DSM, utilities and load-serving entities (LSEs) can reduce their operating costs and defer the upgrade of their network and improve system reliabilities [1][2][3]. In addition, by participating in the DSM, the customers can reduce their electricity bills or make the incentives.…”

Section: Introductionmentioning

confidence: 99%

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Indirect Load Control for Energy Storage Systems Using Incentive Pricing under Time-of-Use Tariff

2016

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Indirect load control (ILC) is a method by which the customer determines load reduction of electricity by using a price signal. One of the ILCs is a time-of-use (TOU) tariff, which is the most commonly used time-varying retail pricing. Under the TOU tariff, the customer can reduce the energy cost through an energy storage system (ESS). However, because this tariff is fixed for several months, the ESS operation does not truly reflect the wholesale market price, which could widely fluctuate. To overcome this limitation, this paper proposes an incentive pricing method in which the load-serving entity (LSE) gives the incentive pricing signal to the customers with ESSs. Because the ESS charging schedule is determined by the customer through ILC, a bilevel optimization problem that includes the customer optimization problem is utilized to determine the incentive pricing signal. Further, the bilevel optimization problem is reformulated into a one-level problem to be solved by an interior point method. In the proposed incentive scheme: (1) the social welfare increases and (2) the increased social welfare can be equitably divided between the LSE and the customer; and (3) the proposed incentive scheme leads the customer to voluntarily follow the pricing signal.

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“…1 Cost savings from the retail market. 2 Cost savings from the wholesale market. 1 Cost savings from the retail market.…”

Section: Test Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Indirect Load Control for Energy Storage Systems Using Incentive Pricing under Time-of-Use Tariff

2016

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“…The solution of the restoration strategy is very fast by checking two algebraic inequalities, and the efficiency can be further improved by applying parallel computing as well as sparse matrix technologies. The proposed fast load restoration approach as well as the ISS-based stability criterion can also be applied to other types of IPS, such as sustainable building [32] and stand-alone hybrid power systems [33], considering stability issues.…”

Section: Discussionmentioning

confidence: 99%

An Input-to-State Stability-Based Load Restoration Approach for Isolated Power Systems

Qin

Gao

et al. 2018

Energies

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An isolated power system (IPS) is usually operated under a bad environment and is influenced by external disturbances. Advanced load restoration technology is an important way to enhance the survivability and reliability of IPS. This paper proposes a fast load restoration approach based on Input-to-State Stability (ISS) theory for IPS. The method can recover load after an outage happens in an IPS under severe perturbations. In the proposed restoration approach, both stability and security constraints are considered based on the ISS theory, which can guarantee the stable and secure operation of IPS during the restoration dynamic process. These constraints have good adaptability for topology transformation and operation status transition of IPS. A heuristic approach to efficiently solve the load restoration problem is proposed, where bisection search is used to check the feasibility of the loads to be restored. Case studies on a typical IPS are used to verify the proposed method.

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“…The calculation of heating and cooling is the contrary due to the opposite storage concept of a thermal storage system in heating and cooling applications. As stated by [45], excess heat energy is stored by extraction from the energy producer to the storage whereas cool energy is stored by extracting heat from the storage to the energy producer. 6) Next, the surplus energy at the time interval can be stored by using power or thermal storage systems to allow energy to be used in the following time interval.…”

Section: )mentioning

confidence: 99%

A Process Integration Method for Total Site Cooling, Heating and Power Optimisation with Trigeneration Systems

et al. 2019

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Research and development on integrated energy systems such as cogeneration and trigeneration to improve the efficiency of thermal energy as well as fuel utilisation have been a key focus of attention by researchers. Total Site Utility Integration is an established methodology for the synergy and integration of utility recovery among multiple processes. However, Total Site Cooling, Heating and Power (TSCHP) integration methods involving trigeneration systems for industrial plants have been much less emphasised. This paper proposes a novel methodology for developing an insight-based numerical Pinch Analysis technique to simultaneously target the minimum cooling, heating and power requirements for a total site energy system. It enables the design of an integrated centralised trigeneration system involving several industrial sites generating the same utilities. The new method is called the Trigeneration System Cascade Analysis (TriGenSCA). The procedure for TriGenSCA involves data extraction, constructions of a Problem Table Algorithm (PTA), Multiple Utility Problem Table Algorithm (MU PTA), Total Site Problem Table Algorithm (TS PTA) and estimation of energy sources by a trigeneration system followed by construction of TriGenSCA, Trigeneration Storage Cascade Table (TriGenSCT) and construction of a Total Site Utility Distribution (TSUD) Table. The TriGenSCA tool is vital for users to determine the optimal size of utilities for generating power, heating and cooling in a trigeneration power plant. Based on the case study, the base fuel source for power, heating and cooling is nuclear energy with a demand load of 72 GWh/d supplied by 10.8 t of Uranium-235. Comparison between conventional PWR producing power, heating and cooling seperately, and trigeneration PWR system with and without integration have been made. The results prove that PWR as a trigeneration system is the most cost-effective, enabling 28% and 17% energy savings as compared to conventional PWR producing power, heating and cooling separately.

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Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification

Cited by 19 publications

References 16 publications

Indirect Load Control for Energy Storage Systems Using Incentive Pricing under Time-of-Use Tariff

Indirect Load Control for Energy Storage Systems Using Incentive Pricing under Time-of-Use Tariff

An Input-to-State Stability-Based Load Restoration Approach for Isolated Power Systems

A Process Integration Method for Total Site Cooling, Heating and Power Optimisation with Trigeneration Systems

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