scholarly journals Optimal scheduling of regional integrated energy system considering multiple uncertainties

2021 ◽  
Vol 256 ◽  
pp. 02027
Author(s):  
Shufeng Guan ◽  
Lingling Wang ◽  
Chuanwen Jiang
Keyword(s):  
Electricity Market ◽  
Deterministic Model ◽  
Energy System ◽  
Economic Benefits ◽  
Optimal Scheduling ◽  
Mcmc Sampling ◽  
Deregulated Electricity Market ◽  
Integrated Energy System ◽  
Energy Service

Integrated energy system (IES) is an effective way to realize the efficient utilization of energy. Under the deregulated electricity market, IES operator gains profits by providing customers with energy service, including electricity, heat or cooling energy. With the deepening of market reform, higher penetration rate of renewable energy, economic risks embed in the IES. Based on this, an optimal scheduling model of regional IES considering uncertainties is proposed, aiming at maximizing the profits. Scenario analysis method has been adopted to model the uncertainties: Markov-Chain-Monte-Carlo (MCMC) sampling method, which has a better performance in fitting the probability distribution, is utilized to generate scenarios; K-means clustering method is applied to narrow down the sampling sets. By replacing the parameters in the deterministic model with the sampling sets, a series of optimal results can be achieved. The case study shows that the cooling storage tank can improve the economic benefits about 4.97% by converting electricity to cooling energy at lower price period and releasing energy at peak hours. Besides, through the proposed optimization model, operators can have a straight understanding of the venture brought by the uncertainties and a more reliable scheduling result is formed for reference.

scholarly journals Integrated Energy Purchase-Sale Decision Making and Scheduling for Integrated Energy Service Provider Considering User Grading Dynamic Combination

2020 ◽  
Vol 160 ◽  
pp. 02001
Author(s):  
Jun Wang ◽  
Xun Dou ◽  
Shizhen Wang ◽  
Zhen Wang ◽  
Longzhang Zhao
Keyword(s):  
Decision Making ◽  
Service Provider ◽  
Market Competition ◽  
Energy System ◽  
Economic Benefits ◽  
Stable Operation ◽  
Time Dynamic ◽  
Integrated Energy System ◽  
Energy Service ◽  
The Right

In an open energy market environment, energy retail competition is intensifying. integrated energy service provider (IEPS) with the right to operate regional integrated energy system. Under the requirement of distributed resource transaction access and scheduling security, how to integrate multi-level and multi-type user resources to participate in market operation, allocate resources within the region under its jurisdiction and improve the income of energy purchase and sale is the key for IESP to gain a favourable position in the market competition. Based on the operation framework of IESP including user grading and dynamic combination platform, integrate real-time dynamic combination of user resources into optimal scheduling, aiming at the operating economy of IEPS, an integrated energy purchase-sale decision making and scheduling method for IEPS considering user grading dynamic combination is proposed. Finally, an example is given to analysis through the regional integrated energy system with electric-gas-heat coupling. The results show that by reasonably combining users and scheduling distributed energy and adjustable load. The IESP can ensure the stable operation of the regional energy system, integrate and utilize decentralized resources to participate in the market, and maximize the economic benefits of energy purchase and sale.

scholarly journals Day-Ahead and Intra-Day Optimal Scheduling of Integrated Energy System Considering Uncertainty of Source & Load Power Forecasting

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2539
Author(s):  
Zhengjie Li ◽  
Zhisheng Zhang
Keyword(s):  
Wind Power ◽  
Demand Response ◽  
Solar Power ◽  
Load Forecasting ◽  
Energy System ◽  
Optimal Scheduling ◽  
Scheduling Scheme ◽  
Load Power ◽  
Integrated Energy System ◽  
Operation Cost

At present, due to the errors of wind power, solar power and various types of load forecasting, the optimal scheduling results of the integrated energy system (IES) will be inaccurate, which will affect the economic and reliable operation of the integrated energy system. In order to solve this problem, a day-ahead and intra-day optimal scheduling model of integrated energy system considering forecasting uncertainty is proposed in this paper, which takes the minimum operation cost of the system as the target, and different processing strategies are adopted for the model. In the day-ahead time scale, according to day-ahead load forecasting, an integrated demand response (IDR) strategy is formulated to adjust the load curve, and an optimal scheduling scheme is obtained. In the intra-day time scale, the predicted value of wind power, solar power and load power are represented by fuzzy parameters to participate in the optimal scheduling of the system, and the output of units is adjusted based on the day-ahead scheduling scheme according to the day-ahead forecasting results. The simulation of specific examples shows that the integrated demand response can effectively adjust the load demand and improve the economy and reliability of the system operation. At the same time, the operation cost of the system is related to the reliability of the accurate prediction of wind power, solar power and load power. Through this model, the optimal scheduling scheme can be determined under an acceptable prediction accuracy and confidence level.

Stochastic control for risk under deregulated electricity market — a case study using a new formulation

2005 ◽  
Vol 32 (4) ◽  
pp. 719-725 ◽  
Author(s):  
Joyce Li Zhang ◽  
K Ponnambalam
Keyword(s):  
Electricity Market ◽  
Explicit Method ◽  
State Variables ◽  
Risk Minimization ◽  
Solution Approach ◽  
Second Moments ◽  
Deregulated Electricity Market ◽  
New Formulation ◽  
Dual Dynamic Programming

This paper describes the implementation of a new solution approach — Fletcher-Ponnambalam model (FP) — for risk management in hydropower system under deregulated electricity market. The FP model is an explicit method developed for the first and second moments of the storage state distributions in terms of moments of the inflow distributions. This method provides statistical information on the nature of random behaviour of the system state variables without any discretization and hence suitable for multi-reservoir problems. Also avoiding a scenario-based optimization makes it computationally inexpensive, as there is little growth to the size of the original problem. In this paper, the price uncertainty was introduced into the FP model in addition to the inflow uncertainty. Lake Nipigon reservoir system is chosen as the case study and FP results are compared with the stochastic dual dynamic programming (SDDP). Our studies indicate that the method could achieve optimum operations, considering risk minimization as one of the objectives in optimization.Key words: reservoir operations, explicit method, uncertainty, stochastic programming, risk.

A nonlinear model-based dynamic optimal scheduling of a grid-connected integrated energy system

Energy ◽  
2022 ◽  
pp. 123115
Author(s):  
Fang Liu ◽  
Qiu Mo ◽  
Yongwen Yang ◽  
Pai Li ◽  
Shuai Wang ◽  
...  
Keyword(s):  
Nonlinear Model ◽  
Energy System ◽  
Optimal Scheduling ◽  
Model Based ◽  
Integrated Energy System

scholarly journals Research on Multi-dimensional Energy Efficiency Assessment Technology of RIES

2020 ◽  
Vol 218 ◽  
pp. 01046
Author(s):  
Kuihua Wu ◽  
Zhijie Zheng ◽  
Lujie Qi ◽  
Rong Liang ◽  
Bo Yang
Keyword(s):  
Energy Efficiency ◽  
Evaluation System ◽  
Energy System ◽  
Assessment Method ◽  
Economic Benefits ◽  
Evaluation Index System ◽  
Efficiency Evaluation ◽  
Efficiency Assessment ◽  
Integrated Energy System ◽  
Energy Efficiency Evaluation

At present, there is a lack of regional comprehensive energy multi-dimensional evaluation system and calculation of different quality energy in the energy efficiency evaluation of regional integrated energy system. Based on this, this article carries out research on multi-dimensional energy efficiency evaluation index system and evaluation methods. First, this article form quantifiable evaluation indicators from the aspects of energy supply subsystem energy efficiency, energy conversion subsystem energy efficiency, grid energy efficiency, economic benefits and social benefits, and clarify the calculation methods of each evaluation indicator. Then this article calculate the indicator combination weight. Finally, a multi-dimensional energy efficiency assessment method for a regional integrated energy system is proposed, and an example is used to prove the effectiveness of the method.

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