scholarly journals An Energy Management Optimization Method for Community Integrated Energy System Based on User Dominated Demand Side Response

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4398
Author(s):  
Yiqi Li ◽  
Jing Zhang ◽  
Zhoujun Ma ◽  
Yang Peng ◽  
Shuwen Zhao
Keyword(s):  
Energy Management ◽  
Demand Response ◽  
Value At Risk ◽  
Operating Cost ◽  
Optimization Method ◽  
Conditional Value At Risk ◽  
Demand Side ◽  
Scheduling Model ◽  
Management Optimization ◽  
Demand Side Response

With the development of integrated energy systems (IES), the traditional demand response technologies for single energy that do not take customer satisfaction into account have been unable to meet actual needs. Therefore, it is urgent to study the integrated demand response (IDR) technology for integrated energy, which considers consumers’ willingness to participate in IDR. This paper proposes an energy management optimization method for community IES based on user dominated demand side response (UDDSR). Firstly, the responsive power loads and thermal loads are modeled, and aggregated using UDDSR bidding optimization. Next, the community IES is modeled and an aggregated building thermal model is introduced to measure the temperature requirements of the entire community of users for heating. Then, a day-ahead scheduling model is proposed to realize the energy management optimization. Finally, a penalty mechanism is introduced to punish the participants causing imbalance response against the day-ahead IDR bids, and the conditional value-at-risk (CVaR) theory is introduced to enhance the robustness of the scheduling model under different prediction accuracies. The case study demonstrates that the proposed method can reduce the operating cost of the community under the premise of fully considering users’ willingness, and can complete the IDR request initiated by the power grid operator or the dispatching department.

scholarly journals Multi-time scale optimization scheduling of integrated energy system considering demand side response

2020 ◽  
Vol 213 ◽  
pp. 02038
Author(s):  
Peng Fang ◽  
Cui Mao ◽  
Yuping Chen ◽  
Shan Zhou ◽  
Rui You ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Operating Cost ◽  
Energy System ◽  
Demand Side ◽  
Response Characteristics ◽  
Side Load ◽  
Scheduling Model ◽  
Integrated Energy System ◽  
Demand Side Response ◽  
Optimization Scheduling

As the physical carrier of the energy Internet, the integrated energy system has become the focus of current research. Considering the renewable energy and demand side load fluctuations, using the price type and the alternative demand side response characteristics, a day-ahead and intraday optimization scheduling model that takes into account the demand side response is established, in which the intraday, according to the difference of electricity, cold/heat and natural gas scheduling time, a three-layer rolling optimization scheduling model is proposed. The example analysis shows that this model can suppress the fluctuation of renewable energy and load in the day, improve the stability of the system, and further reduce the operating cost of the system.

Energy management of a microgrid using demand response strategy including renewable uncertainties

2021 ◽  
Vol 22 (1) ◽  
pp. 85-100
Author(s):  
Suchitra Dayalan ◽  
Rajarajeswari Rathinam
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Demand Response ◽  
Effective Means ◽  
Operating Cost ◽  
Energy Resources ◽  
Response Strategy ◽  
Distributed Energy ◽  
Real Time Control ◽  
Minimum Operating

Abstract Microgrid is an effective means of integrating multiple energy sources of distributed energy to improve the economy, stability and security of the energy systems. A typical microgrid consists of Renewable Energy Source (RES), Controllable Thermal Units (CTU), Energy Storage System (ESS), interruptible and uninterruptible loads. From the perspective of the generation, the microgrid should be operated at the minimum operating cost, whereas from the perspective of demand, the energy cost imposed on the consumer should be minimum. The main key in controlling the relationship of microgrid with the utility grid is managing the demand. An Energy Management System (EMS) is required to have real time control over the demand and the Distributed Energy Resources (DER). Demand Side Management (DSM) assesses the actual demand in the microgrid to integrate different energy resources distributed within the grid. With these motivations towards the operation of a microgrid and also to achieve the objective of minimizing the total expected operating cost, the DER schedules are optimized for meeting the loads. Demand Response (DR) a part of DSM is integrated with MG islanded mode operation by using Time of Use (TOU) and Real Time Pricing (RTP) procedures. Both TOU and RTP are used for shifting the controllable loads. RES is used for generator side cost reduction and load shifting using DR performs the load side control by reducing the peak to average ratio. Four different cases with and without the PV, wind uncertainties and ESS are analyzed with Demand Response and Unitcommittment (DRUC) strategy. The Strawberry (SBY) algorithm is used for obtaining the minimum operating cost and to achieve better energy management of the Microgrid.

scholarly journals AN OPTIMISATION APPROACH TOWARD ONBOARD ENERGY MANAGEMENT SYSTEMS: MODELLING AND SIMULATION OF SUPPLY SIDE

2012 ◽  
Vol 11 (1) ◽  
pp. 1
Author(s):  
HADI SUROSO ◽  
ONTOSENO PENANGSANG
Keyword(s):  
Energy Management ◽  
Economic Dispatch ◽  
Operating Cost ◽  
Electric Power System ◽  
Management Systems ◽  
Supply Side ◽  
Optimization Approach ◽  
Demand Side ◽  
Cost Index ◽  
Energy Management Systems

Optimization in the operation of electric power system is an important task for both inland and onboard. The objective is to minimize operating cost index. Taking advantage of thescheme that onboard operator has the authority not only in the supply side but also in the demandside, an optimization approach toward onboard energy management systems based onintegrated model for supply and demand side is being developed. The model utilizes unit commitmentand economic dispatch in the supply side and load management based on multipleattribute decision-making in the demand side. As a part of the whole concept, this paper focuseson the modeling and simulation of demand side. A user friendly demand side model consistingof Unit Commitment and Economic Dispatch is developed by using LabVIEW, LaboratoryVirtual Instrument Engineering Workbench. Data taken from 3 units of Steam Power Plantare simulated. It is then eventually confirmed that 9% total cost saving can be achieved in theselected load demand range

scholarly journals A Two-Stage Optimal Dispatching Model for Micro Energy Grid Considering the Dual Goals of Economy and Environmental Protection under CVaR

2021 ◽  
Vol 13 (18) ◽  
pp. 10173
Author(s):  
Jun Dong ◽  
Yaoyu Zhang ◽  
Yuanyuan Wang ◽  
Yao Liu
Keyword(s):  
Renewable Energy ◽  
Environmental Protection ◽  
Value At Risk ◽  
Operating Cost ◽  
Optimal Scheduling ◽  
Pollutant Emission ◽  
Conditional Value At Risk ◽  
Two Stage ◽  
Environmental Objectives ◽  
Energy Grid

With the development of distributed renewable energy, a micro-energy grid (MEG) is an important way to solve the problem of energy supply in the future. A two-stage optimal scheduling model considering economy and environmental protection is proposed to solve the problem of optimal scheduling of micro-energy grid with high proportion of renewable energy system (RES) and multiple energy storage systems (ESS), in which the risk is measured by conditional value-at-risk (CVaR). The results show that (a) this model can realize the optimal power of various energy equipment, promote the consumption of renewable energy, and the optimal operating cost of the system is 34873 USD. (b) The dispatch of generating units is different under different risk coefficients λ, which leads to different dispatch cost and risk cost, and the two costs cannot be optimal at the same time. The risk coefficient λ shall be determined according to the degree of risk preference of the decision-maker. (c) The proposed optimal model could balance economic objectives and environmental objectives, and rationally control its pollutant emission level while pursuing the minimum operation costs. Therefore, the proposed model can not only reduce the operation cost based on the consideration of system carbon emissions but also provide decision-makers with decision-making support by measuring the risk.

Research on Demand Side Response System of Electricity Price Under Electricity Market Incentive Mechanism

2021 ◽  
Author(s):  
Fu Xianyu ◽  
Zhou Hongmei ◽  
Qi-jie Jiang ◽  
Ke Fan
Keyword(s):  
Power System ◽  
Demand Response ◽  
Electricity Market ◽  
Incentive Mechanism ◽  
Operating Cost ◽  
Electricity Price ◽  
Demand Side ◽  
Peak Shaving ◽  
Optimal Dispatch ◽  
Grid Operation

Aiming at the traditional day-ahead dispatching scheme of power generation, the paper proposes a power system security optimization dispatching model that considers the demand response of electricity prices under the electricity market incentive mechanism. Based on the peak and valley time-of-use electricity price, the paper establishes an incentive compensation mechanism to encourage users to be active. Participating in demand-side resource scheduling makes the effect of “peak shaving and valley filling” more pronounced. Simultaneously, to rationally configure the reserve capacity of grid operation, the system incorporates the expected power outage loss into the proposed model to ensure the grid operation safety. The analysis of calculation examples based on IEEE24 nodes shows that the power optimal dispatch model proposed in the paper considering demand response and expected outage loss can reduce the operating cost of the power grid under the premise of ensuring a certain level of reliability and realize the economy of the power system in the market environment and safe operation.

Optimal Stochastic Conditional Value at Risk-based Management of a Demand Response Aggregator Considering Load Uncertainty

2021 ◽  
Author(s):  
Morteza Vahid-Ghavidel ◽  
Mohammad Sadegh Javadi ◽  
Sergio F. Santos ◽  
Matthew Gough ◽  
Miadreza Shafie-khah ◽  
...  
Keyword(s):  
At Risk ◽  
Demand Response ◽  
Value At Risk ◽  
Conditional Value At Risk ◽  
Load Uncertainty

scholarly journals Procuring load curtailment from local customers under uncertainty

2017 ◽  
Vol 375 (2100) ◽  
pp. 20160311 ◽  
Author(s):  
Aleksandar Mijatović ◽  
John Moriarty ◽  
Jure Vogrinc
Keyword(s):  
Energy Management ◽  
Probabilistic Modelling ◽  
Demand Side ◽  
Power Network ◽  
Flexible Approach ◽  
Simulation And Optimization ◽  
Load Curtailment ◽  
Demand Side Response ◽  
Modelling Simulation

Demand side response (DSR) provides a flexible approach to managing constrained power network assets. This is valuable if future asset utilization is uncertain. However there may be uncertainty over the process of procurement of DSR from customers. In this context we combine probabilistic modelling, simulation and optimization to identify economically optimal procurement policies from heterogeneous customers local to the asset, under chance constraints on the adequacy of the procured DSR. Mathematically this gives rise to a search over permutations, and we provide an illustrative example implementation and case study. This article is part of the themed issue ‘Energy management: flexibility, risk and optimization’.

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